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    <title>Pinboard (cshalizi)</title>
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    <description>recent bookmarks from cshalizi</description>
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  </channel><item rdf:about="https://www.nber.org/papers/w33364">
    <title>Does Unilateral Decarbonization Pay For Itself? | NBER</title>
    <dc:date>2025-01-21T01:56:26+00:00</dc:date>
    <link>https://www.nber.org/papers/w33364</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["This paper shows that unilateral decarbonization pays for itself in large economies. We estimate economic damages from global temperature shocks and combine them with a climate-economy model to construct Domestic Costs of Carbon: $226 per ton for the United States and $216 per ton for the European Union. When compared to marginal abatement costs, these values imply over 80% unilateral decarbonization for both economies, an order of magnitude larger than under conventional damages estimated based on local temperature."

--- Good (?) news, if true...]]></description>
<dc:subject>to:NB climate_change economics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:ce76b4538ef8/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
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<item rdf:about="https://www.americanpurpose.com/blog/fukuyama/vetocracy-and-climate-adaptation/">
    <title>Vetocracy and Climate Adaptation</title>
    <dc:date>2023-01-17T03:26:12+00:00</dc:date>
    <link>https://www.americanpurpose.com/blog/fukuyama/vetocracy-and-climate-adaptation/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["One can argue that active citizen participation is critical to both improving legislation and to getting buy-in for difficult decisions. Dictatorships like China and Russia do not solicit citizen participation. But as my Stanford colleague Bruce Cain has argued in this 2014 book Democracy More or Less, there is a hidden flaw in the assumptions underlying the indefinite expansion of participatory democracy, which is that ordinary people will have the time, willingness, and knowledge to participate meaningfully in a complex decision-making process. The vast majority of people do not, with the result that participatory processes empower activist groups or lobbyists with a direct stake in the decision at hand. These groups do not necessarily represent “the people,” and tend to produce polarized standoffs where, for example, energy industry lobbyists face off against environmental advocates. Thus efforts to increase democratic participation may have the effect of leading to less democratic outcomes."]]></description>
<dc:subject>climate_change our_decrepit_institutions democracy us_politics track_down_references re:democratic_cognition</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:48db3f2bae37/</dc:identifier>
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<item rdf:about="https://jacobin.com/2023/01/against-degrowth-eco-modernism-socialist-planning-green-economy/">
    <title>Degrowth Is Not the Answer to Climate Change</title>
    <dc:date>2023-01-17T02:34:18+00:00</dc:date>
    <link>https://jacobin.com/2023/01/against-degrowth-eco-modernism-socialist-planning-green-economy/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>climate_change socialism have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:8627d1048d4d/</dc:identifier>
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    <title>Perfectly Preserved Insects and Plants Point to Warm Greenland Future - Scientific American</title>
    <dc:date>2022-12-29T02:28:56+00:00</dc:date>
    <link>https://www.scientificamerican.com/article/perfectly-preserved-insects-and-plants-point-to-warm-greenland-future/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>climate_change climatology paleontology greenland have_read camp_century</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:bc0be9cc177a/</dc:identifier>
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    <title>How The Rising Sea Is Threatening A Tiny North Carolina Community</title>
    <dc:date>2022-12-29T02:25:45+00:00</dc:date>
    <link>https://www.noemamag.com/as-the-water-rises/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>climate_change spirits_of_places</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f5b2e9508876/</dc:identifier>
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    <title>The Guns of Warming | The Breakthrough Institute</title>
    <dc:date>2022-12-28T04:24:54+00:00</dc:date>
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    <dc:creator>cshalizi</dc:creator><dc:subject>have_read climate_change us_military us_politics gilman.nils mea_culpa</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:0a069453471b/</dc:identifier>
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<item rdf:about="http://philsci-archive.pitt.edu/21422/">
    <title>Interpreting the Probabilistic Language in IPCC Reports - PhilSci-Archive</title>
    <dc:date>2022-12-27T19:08:50+00:00</dc:date>
    <link>http://philsci-archive.pitt.edu/21422/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The Intergovernmental Panel on Climate Change (IPCC) often qualifies its statements by use of probabilistic “likelihood” language. In this paper, I show that this language is not properly interpreted in either frequentist or Bayesian terms—simply put, the IPCC uses both kinds of statistics to calculate these likelihoods. I then offer a deflationist interpretation: the probabilistic language expresses nothing more than how compatible the evidence is with the given hypothesis according to some method that generates normalized scores. I end by drawing some tentative normative conclusions."]]></description>
<dc:subject>to:NB probability foundations_of_statistics climate_change philosophy_of_science via:?</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:5870578ad014/</dc:identifier>
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<item rdf:about="https://www.science.org/content/article/use-too-hot-climate-models-exaggerates-impacts-global-warming">
    <title>Use of ‘too hot’ climate models exaggerates impacts of global warming | Science | AAAS</title>
    <dc:date>2022-06-07T14:20:28+00:00</dc:date>
    <link>https://www.science.org/content/article/use-too-hot-climate-models-exaggerates-impacts-global-warming</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>have_read climate_change modeling simulation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:7ca9bdc3ecfb/</dc:identifier>
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<item rdf:about="https://www.nytimes.com/interactive/2022/04/25/magazine/vaclav-smil-interview.html?action=click&amp;algo=identity&amp;block=editors_picks_recirc&amp;fellback=false&amp;imp_id=523781270&amp;impression_id=75cb4590-c4ea-11ec-a273-639e2670c563&amp;index=0&amp;pgtype=Article&amp;pool=editors-picks-ls&amp;region=ccolumn&amp;req_id=273214943&amp;surface=home-featured&amp;variant=0_identity">
    <title>This Eminent Scientist Says Climate Activists Need to Get Real - The New York Times</title>
    <dc:date>2022-04-26T13:29:24+00:00</dc:date>
    <link>https://www.nytimes.com/interactive/2022/04/25/magazine/vaclav-smil-interview.html?action=click&amp;algo=identity&amp;block=editors_picks_recirc&amp;fellback=false&amp;imp_id=523781270&amp;impression_id=75cb4590-c4ea-11ec-a273-639e2670c563&amp;index=0&amp;pgtype=Article&amp;pool=editors-picks-ls&amp;region=ccolumn&amp;req_id=273214943&amp;surface=home-featured&amp;variant=0_identity</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I feel like the interviewer never actually wraps his head around what Smil is trying to say, and hence Smil never gets his message across either.]]></description>
<dc:subject>interview smil.vaclav climate_change via:? have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:1d2e7cd86b5e/</dc:identifier>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://global.oup.com/academic/product/reconsidering-reparations-9780197508893?cc=us&amp;lang=en&amp;#">
    <title>Reconsidering Reparations - Olúfẹ́mi O. Táíwò - Oxford University Press</title>
    <dc:date>2021-12-14T15:09:58+00:00</dc:date>
    <link>https://global.oup.com/academic/product/reconsidering-reparations-9780197508893?cc=us&amp;lang=en&amp;#</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Reparations for slavery have become a reinvigorated topic for public debate over the last decade. Most theorizing about reparations treats it as a social justice project - either rooted in reconciliatory justice focused on making amends in the present; or, they focus on the past, emphasizing restitution for historical wrongs. Olúfemi O. Táíwò argues that neither approach is optimal, and advances a different case for reparations - one rooted in a hopeful future that tackles the issue of climate change head on, with distributive justice at its core. This view, which he calls the "constructive" view of reparations, argues that reparations should be seen as a future-oriented project engaged in building a better social order; and that the costs of building a more equitable world should be distributed more to those who have inherited the moral liabilities of past injustices.
"This approach to reparations, as Táíwò shows, has deep and surprising roots in the thought of Black political thinkers such as James Baldwin, Martin Luther King Jr, and Nkechi Taifa, as well as mainstream political philosophers like John Rawls, Charles Mills, and Elizabeth Anderson. Táíwò's project has wide implications for our views of justice, racism, the legacy of colonialism, and climate change policy."

--- Suppose (per impossible) that some sort of reparations for imperialism &c. had already been made circa 1960.  Would it not now still make sense to focus climate adaptation / mitigation efforts on tropical areas near sea-coasts?]]></description>
<dc:subject>to:NB books:noted climate_change political_philosophy via:? books:have_suggested_to_library color_me_skeptical</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:179ca53c0188/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:?"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:have_suggested_to_library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:color_me_skeptical"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2110.06870">
    <title>[2110.06870] Architecture of a Junkyard Datacenter</title>
    <dc:date>2021-10-18T13:36:18+00:00</dc:date>
    <link>https://arxiv.org/abs/2110.06870</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["It requires significant energy to manufacture and deploy computational devices. Traditional discussions of the energy-efficiency of compute measure operational energy, i.e.\ how many FLOPS in a 50\,MW datacenter. However, if we consider the true lifetime energy use of modern devices, the majority actually comes not from runtime use but from manufacture and deployment. In this paper, then, we suggest that perhaps the most climate-impactful action we can take is to extend the service lifetime of existing compute.
"We design two new metrics to measure how to balance continued service of older devices with the superlinear runtime improvements of newer machines. The first looks at carbon per raw compute, amortized across the operation and manufacture of devices. The second considers use of components beyond compute, such as batteries or radios in smartphone platforms. We use these metrics to redefine device service lifetime in terms of carbon efficiency. We then realize a real-world ``junkyard datacenter'' made up of Nexus 4 and Nexus 5 phones, which are nearly a decade past their official end-of-life dates. This new-old datacenter is able to nearly match and occasionally exceed modern cloud compute offerings."

--- 1. I hate this use of the word "compute" with a peevish passion.
--- 2. This is cute.
--- 3. If we had carbon pricing, the *expletive* market really _would_ take care of this sort of calculation.]]></description>
<dc:subject>funny:academic have_skimmed climate_change via:rvenkat that_is_my_opinion_and_it_is_further_my_opinion_that_carbon_must_be_priced</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f2ff2ddc4e3e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:funny:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_skimmed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:rvenkat"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:that_is_my_opinion_and_it_is_further_my_opinion_that_carbon_must_be_priced"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.bloomberg.com/features/diversified-energy-natural-gas-wells-methane-leaks-2021/">
    <title>Exposing Climate Threats From an Empire of Dying Gas Wells</title>
    <dc:date>2021-10-13T03:10:56+00:00</dc:date>
    <link>https://www.bloomberg.com/features/diversified-energy-natural-gas-wells-methane-leaks-2021/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>climate_change class_struggles_in_america have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:89859ad9e89e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:class_struggles_in_america"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2021/09/01/opinion/covid-pandemic-global-economy-politics.html">
    <title>Opinion | What if the Coronavirus Crisis Is Just a Trial Run? - The New York Times</title>
    <dc:date>2021-09-01T18:17:16+00:00</dc:date>
    <link>https://www.nytimes.com/2021/09/01/opinion/covid-pandemic-global-economy-politics.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[This is terrific, and terrifying.]]></description>
<dc:subject>have_read tooze.adam coronavirus_pandemic_of_2019-- climate_change our_decrepit_institutions globalization political_economy american_hegemony</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b685af02dc43/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:tooze.adam"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:coronavirus_pandemic_of_2019--"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:our_decrepit_institutions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:globalization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_economy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:american_hegemony"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.aeaweb.org/articles?id=10.1257/aer.20180517">
    <title>The Risk-Adjusted Carbon Price - American Economic Association</title>
    <dc:date>2021-08-30T14:48:17+00:00</dc:date>
    <link>https://www.aeaweb.org/articles?id=10.1257/aer.20180517</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The social cost of carbon is the expected present value of damages from emitting one ton of carbon today. We use perturbation theory to derive an approximate tractable expression for this cost adjusted for climatic and economic risk. We allow for different aversion to risk and intertemporal fluctuations, skewness and dynamics in the risk distributions of climate sensitivity and the damage ratio, and correlated shocks. We identify prudence, insurance, and exposure effects, reproduce earlier analytical results, and offer analytical insights into numerical results on the effects of economic and damage ratio uncertainty and convex damages on the optimal carbon price."]]></description>
<dc:subject>to:NB decision_theory climate_change</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:5ec33f34551f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:decision_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://timothyburke.substack.com/p/good-enough-hindsight-towards-a-rethinking?token=eyJ1c2VyX2lkIjoxNDUwNjIxLCJwb3N0X2lkIjo0MDMxNDk0OSwiXyI6IjlGVHd6IiwiaWF0IjoxNjI5ODI1NTYyLCJleHAiOjE2Mjk4MjkxNjIsImlzcyI6InB1Yi0zODEwOTQiLCJzdWIiOiJwb3N0LXJlYWN0aW9uIn0.5Xavyy2xO3t-unjJ91JraX4SiNva0KJgeiJRhTJm-Rc">
    <title>Good Enough: Hindsight Towards a Rethinking on Climate Activism - by Timothy Burke - Eight by Seven</title>
    <dc:date>2021-08-24T17:34:27+00:00</dc:date>
    <link>https://timothyburke.substack.com/p/good-enough-hindsight-towards-a-rethinking?token=eyJ1c2VyX2lkIjoxNDUwNjIxLCJwb3N0X2lkIjo0MDMxNDk0OSwiXyI6IjlGVHd6IiwiaWF0IjoxNjI5ODI1NTYyLCJleHAiOjE2Mjk4MjkxNjIsImlzcyI6InB1Yi0zODEwOTQiLCJzdWIiOiJwb3N0LXJlYWN0aW9uIn0.5Xavyy2xO3t-unjJ91JraX4SiNva0KJgeiJRhTJm-Rc</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Tim is talking good sense, but I want to quibble.  (He might well accept this as a correction, I dunno.)
The liberal answer was carbon pricing.  That is, dealing with a commons problem (because climate change _is_ a commons problem) by a market mechanism.  The cap-and-trade version of carbon pricing is even about creating (and enforcing) property rights.  Liberalism had the conceptual resources for formulating a perfectly good solution to the climate-change problem.  Indeed, strong global carbon pricing would be a much better, because more direct and comprehensive, solution to the climate problem than whatever we're going to blunder into.  (We should still price carbon, as soon as we can.)  The place where liberalism genuinely has trouble isn't conceiving of a good solution, it's assembling the political forces which will make that solution happen.  (This is related to other points he makes in his essay.)]]></description>
<dc:subject>climate_change progressive_forces burke.timothy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:d185cb9256dd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:progressive_forces"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:burke.timothy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2108.01617">
    <title>[2108.01617] The macroeconomic cost of climate volatility</title>
    <dc:date>2021-08-06T15:36:29+00:00</dc:date>
    <link>https://arxiv.org/abs/2108.01617</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["We study the impact of climate volatility on economic growth exploiting data on 133 countries between 1960 and 2005. We show that the conditional (ex-ante) volatility of annual temperatures increased steadily over time, rendering climate conditions less predictable across countries, with important implications for growth. Controlling for concomitant changes in temperatures, a +1oC increase in temperature volatility causes on average a 0.9 percent decline in GDP growth and a 1.3 percent increase in the volatility of GDP. Unlike changes in average temperatures, changes in temperature volatility affect both rich and poor countries."

--- Last tag because of my usual categorical skepticism about this sort of cross-country regression.]]></description>
<dc:subject>to:NB economics economic_growth climate_change color_me_skeptical</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:8d67fdf5ee5d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:economic_growth"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:color_me_skeptical"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.quantamagazine.org/a-soil-science-revolution-upends-plans-to-fight-climate-change-20210727/">
    <title>A Soil-Science Revolution Upends Plans to Fight Climate Change | Quanta Magazine</title>
    <dc:date>2021-07-28T03:25:14+00:00</dc:date>
    <link>https://www.quantamagazine.org/a-soil-science-revolution-upends-plans-to-fight-climate-change-20210727/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>ecology geology climate_change via:henry_farrell</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:59083c2c6d0f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:ecology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:geology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:henry_farrell"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://global.oup.com/academic/product/philosophical-foundations-of-climate-change-policy-9780197567982?cc=us&amp;lang=en&amp;#">
    <title>Philosophical Foundations of Climate Change Policy - Joseph Heath - Oxford University Press</title>
    <dc:date>2021-07-19T18:26:55+00:00</dc:date>
    <link>https://global.oup.com/academic/product/philosophical-foundations-of-climate-change-policy-9780197567982?cc=us&amp;lang=en&amp;#</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["There is widespread agreement that something must be done to combat anthropogenic climate change. And yet what is the extent of our obligations? It would clearly be unjust for us to allow global warming to reach dangerous levels. But what is the nature of this injustice? Providing a plausible philosophical specification of the wrongness of our present inaction has proven surprisingly difficult. Much of this is due to the temporal structure of the problem, or the fact that there is such a significant delay between our actions and the effects that they produce. Many normative theories that sound plausible when applied to contemporaneous problems generate surprising or perverse results when applied to problems that extend over long periods of time, involving effects on individuals who have not yet been born. So while states have a range of sensible climate change policies at their disposal, the philosophical foundations of these policies remains indeterminate.
"By far the most influential philosophical position has been the variant of utilitarianism most popular among economists, which maintains that we have an obligation to maximize the well-being of all people, from now until the end of time. Climate change represents an obvious failure of maximization. Many environmental philosophers, however, find this argument unpersuasive, because it also implies that we have an obligation to maximize economic growth. Yet their attempts to provide alternative foundations for policy have proven unpersuasive. Joseph Heath presents an approach to thinking about climate change policy grounded in social contract theory, which focuses on the fairness of existing institutions, not the welfare of future generations, in order to generate a set of plausible policy prescriptions."

--- I read the online sample and liked it enough to want to read more.
--- ETA after reading: I don't believe I've ever encountered a philosopher who so clearly and forcefully articulated my own prejudices.]]></description>
<dc:subject>climate_change environmental_management political_philosophy heath.joseph books:have_suggested_to_library in_NB books:recommended have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b7e734061526/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:environmental_management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:heath.joseph"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:have_suggested_to_library"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:recommended"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.slowboring.com/p/climate-left">
    <title>What is the climate left doing? - by Matthew Yglesias - Slow Boring</title>
    <dc:date>2021-07-14T04:15:42+00:00</dc:date>
    <link>https://www.slowboring.com/p/climate-left</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>climate_change us_politics yglesias.matthew have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:215002c2af2d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:us_politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:yglesias.matthew"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.dissentmagazine.org/article/the-global-climate-ledger">
    <title>The Global Climate Ledger | Dissent Magazine</title>
    <dc:date>2021-06-28T03:06:34+00:00</dc:date>
    <link>https://www.dissentmagazine.org/article/the-global-climate-ledger</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>book_reviews inequality climate_change tooze.adam track_down_references</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:efcb4f558508/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:book_reviews"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:inequality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:tooze.adam"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:track_down_references"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2106.03948">
    <title>[2106.03948] Nonequilibrium Thermodynamics in Measuring Carbon Footprints: Disentangling Structure and Artifact in Input-Output Accounting</title>
    <dc:date>2021-06-10T02:16:38+00:00</dc:date>
    <link>https://arxiv.org/abs/2106.03948</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Multiregional input-output (MRIO) tables, in conjunction with Leontief analysis, are widely-used to assess the geographical distribution of carbon emissions and the economic activities that cause them. We examine Leontief analysis as a model, demonstrating commonalities with modern approaches in information theory and nonequilibrium statistical mechanics. Paralleling the physical concept of thermo-majorization, we define the concept of eco-majorization and show it is a sufficient condition to determine the directionality of embodied impact flows. Surprisingly, relatively small trade deficits and geographically heterogeneous impacts greatly increase the appearance of eco-majorization, regardless of any further content in the MRIO tables used. Our results are bolstered by a statistical analysis of null models of MRIO tables developed by the Global Trade Aggregation Project."]]></description>
<dc:subject>to:NB climate_change crutchfield.james_p.</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:72b8f0b43da6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:crutchfield.james_p."/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1808.07861">
    <title>[1808.07861] On model selection criteria for climate change impact studies</title>
    <dc:date>2021-06-10T02:12:02+00:00</dc:date>
    <link>https://arxiv.org/abs/1808.07861</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Climate change impact studies inform policymakers on the estimated damages of future climate change on economic, health and other outcomes. In most studies, an annual outcome variable is observed, e.g. agricultural yield, annual mortality or gross domestic product, along with a higher-frequency regressor, e.g. daily temperature. While applied researchers tend to consider multiple models to characterize the relationship between the outcome and the high-frequency regressor, to inform policy a choice between the damage functions implied by the different models has to be made. This paper formalizes the model selection problem in this empirical setting and provides conditions for the consistency of Monte Carlo Cross-validation and generalized information criteria. A simulation study illustrates the theoretical results and points to the relevance of the signal-to-noise ratio for the finite-sample behavior of the model selection criteria. Two empirical applications with starkly different signal-to-noise ratios illustrate the practical implications of the formal analysis on model selection criteria provided in this paper."]]></description>
<dc:subject>to:NB model_selection climate_change econometrics statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:af3a5c918559/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:model_selection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:econometrics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2021/04/23/opinion/climate-coal-china-us.html">
    <title>Opinion | Krugman Wonks Out: The China Shock and the Climate Shock - The New York Times</title>
    <dc:date>2021-05-11T03:00:26+00:00</dc:date>
    <link>https://www.nytimes.com/2021/04/23/opinion/climate-coal-china-us.html</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>have_read climate_change political_economy economic_geography krugman.paul</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f72300da162b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_economy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:economic_geography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:krugman.paul"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arstechnica.com/science/2021/04/the-us-is-doing-well-on-emissions-but-not-halfway-to-zero/">
    <title>Comparing the actual US grid to the one predicted 15 years ago | Ars Technica</title>
    <dc:date>2021-04-16T15:28:02+00:00</dc:date>
    <link>https://arstechnica.com/science/2021/04/the-us-is-doing-well-on-emissions-but-not-halfway-to-zero/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>have_read climate_change electric_power_systems environmental_management via:yorksranter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:6b07180c16cc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:electric_power_systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:environmental_management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:yorksranter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://noahpinion.substack.com/p/why-has-climate-economics-failed">
    <title>Why has climate economics failed us? - Noahpinion</title>
    <dc:date>2021-04-14T19:59:50+00:00</dc:date>
    <link>https://noahpinion.substack.com/p/why-has-climate-economics-failed</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>economics climate_change environmental_management why_oh_why_cant_we_have_a_better_intelligentsia social_measurement have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:1eea9512d2d0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:environmental_management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:why_oh_why_cant_we_have_a_better_intelligentsia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_measurement"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.pnas.org/content/118/15/e2022886118">
    <title>Addressing partial identification in climate modeling and policy analysis | PNAS</title>
    <dc:date>2021-04-14T14:30:38+00:00</dc:date>
    <link>https://www.pnas.org/content/118/15/e2022886118</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Numerical simulations of the global climate system provide inputs to integrated assessment modeling for estimating the impacts of greenhouse gas mitigation and other policies to address global climate change. While essential tools for this purpose, computational climate models are subject to considerable uncertainty, including intermodel “structural” uncertainty. Structural uncertainty analysis has emphasized simple or weighted averaging of the outputs of multimodel ensembles, sometimes with subjective Bayesian assignment of probabilities across models. However, choosing appropriate weights is problematic. To use climate simulations in integrated assessment, we propose, instead, framing climate model uncertainty as a problem of partial identification, or “deep” uncertainty. This terminology refers to situations in which the underlying mechanisms, dynamics, or laws governing a system are not completely known and cannot be credibly modeled definitively even in the absence of data limitations in a statistical sense. We propose the min−max regret (MMR) decision criterion to account for deep climate uncertainty in integrated assessment without weighting climate model forecasts. We develop a theoretical framework for cost−benefit analysis of climate policy based on MMR, and apply it computationally with a simple integrated assessment model. We suggest avenues for further research."

--- On the one hand, Manski on partial identification is self-recommending.  On the other hand, it's a contributed paper in PNAS.

--- ETA after reading: Even Homer nods sometimes.  There's no actual need for, or use of, Manski's (pathbreaking) work on partial identification here.  Rather, the core of this is two quite simple, but sensible, recommendations: (i) if there are multiple good models, one way to represent uncertainty is simply to show the spread of different models, rather than trying to come up with weights that will force some sort of average; (ii) for each policy, find the optimal course of action, and then select the model-optimal policy which minimizes the maximum regret.  No connection to low-regret learning, which of course _does_ use weights.

--- It'd probably be good for the planet if we could leave Manski and Claire Monteleoni alone together on an island for a month.]]></description>
<dc:subject>climate_change decision_theory partial_identification modeling have_read to_blog in_NB manski.charles_f.</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:48bbbb0df653/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:decision_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:partial_identification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:modeling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_blog"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:manski.charles_f."/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.journals.uchicago.edu/doi/abs/10.1086/711501">
    <title>Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions | Philosophy of Science: Vol 88, No 2</title>
    <dc:date>2021-04-09T17:46:15+00:00</dc:date>
    <link>https://www.journals.uchicago.edu/doi/abs/10.1086/711501</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many times over, and because computing resources are finite, uncertainty assessment is more feasible using models that demand less computer processor time. Such models are generally simpler in the sense of being more idealized, or less realistic. So modelers face a trade-off between realism and uncertainty quantification. Seeing this trade-off for the important epistemic issue that it is requires a shift in perspective from the established simplicity literature in philosophy of science."]]></description>
<dc:subject>simulation philosophy_of_science risk_assessment climate_change complexity in_NB</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:410a0b30abb9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:risk_assessment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://press.uchicago.edu/ucp/books/book/chicago/C/bo8642262">
    <title>The Climate of History in a Planetary Age, Chakrabarty</title>
    <dc:date>2021-04-03T00:52:45+00:00</dc:date>
    <link>https://press.uchicago.edu/ucp/books/book/chicago/C/bo8642262</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["For the past decade, historian Dipesh Chakrabarty has been one of the most influential scholars addressing the meaning of climate change. Climate change, he argues, upends long-standing ideas of history, modernity, and globalization. The burden of The Climate of History in a Planetary Age is to grapple with what this means and to confront humanities scholars with ideas they have been reluctant to reconsider—from the changed nature of human agency to a new acceptance of universals.
"Chakrabarty argues that we must see ourselves from two perspectives at once: the planetary and the global. This distinction is central to Chakrabarty’s work—the globe is a human-centric construction, while a planetary perspective intentionally decenters the human. Featuring wide-ranging excursions into historical and philosophical literatures, The Climate of History in a Planetary Age boldly considers how to frame the human condition in troubled times. As we open ourselves to the implications of the Anthropocene, few writers are as likely as Chakrabarty to shape our understanding of the best way forward."]]></description>
<dc:subject>to:NB books:noted world_history climate_change barely-comprehensible_metaphysics color_me_skeptical books:suggest_to_library</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:4cd150092d8c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:world_history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:barely-comprehensible_metaphysics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:color_me_skeptical"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:suggest_to_library"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://jcom.sissa.it/archive/16/05/JCOM_1605_2017_A03">
    <title>The “Gateway Belief” illusion: reanalyzing the results of a scientific-consensus messaging study</title>
    <dc:date>2021-02-26T07:35:56+00:00</dc:date>
    <link>https://jcom.sissa.it/archive/16/05/JCOM_1605_2017_A03</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[This paper analyzes data collected but not reported in the study featured in van der Linden, Leiserowitz, Feinberg, and Maibach [van der Linden et al., 2015]. VLFM report finding that a “scientific consensus” message “increased” experiment subjects' “key beliefs about climate change” and “in turn” their “support for public action” to mitigate it. However, VLFM fail to report that message-exposed subjects' “beliefs about climate change” and “support for public action” did not vary significantly, in statistical or practical terms, from those of a message-unexposed control group. The paper also shows how this absence of an experimental effect was obscured by a misspecified structural equation model.]]></description>
<dc:subject>to:NB climate_change persuasion kahan.dan sociology_of_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b6070a769d7a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:persuasion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:kahan.dan"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:sociology_of_science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1851696">
    <title>On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models: Journal of the American Statistical Association: Vol 0, No 0</title>
    <dc:date>2021-01-27T15:05:40+00:00</dc:date>
    <link>https://www.tandfonline.com/doi/full/10.1080/01621459.2020.1851696</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Numerical climate models are used to project future climate change due to both anthropogenic and natural causes. Differences between projections from different climate models are a major source of uncertainty about future climate. Emergent relationships shared by multiple climate models have the potential to constrain our uncertainty when combined with historical observations. We combine projections from 13 climate models with observational data to quantify the impact of emergent relationships on projections of future warming in the Arctic at the end of the 21st century. We propose a hierarchical Bayesian framework based on a coexchangeable representation of the relationship between climate models and the Earth system. We show how emergent constraints fit into the coexchangeable representation, and extend it to account for internal variability simulated by the models and natural variability in the Earth system. Our analysis shows that projected warming in some regions of the Arctic may be more than 2 ∘° C lower and our uncertainty reduced by up to 30% when constrained by historical observations. A detailed theoretical comparison with existing multi-model projection frameworks is also provided. In particular, we show that projections may be biased if we do not account for internal variability in climate model predictions."]]></description>
<dc:subject>to:NB climatology climate_change ensemble_methods prediction model_checking statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:390646258391/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climatology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:ensemble_methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:model_checking"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://doi.org/10.1093/oso/9780199495559.001.0001">
    <title>Climate of Conquest: War, Environment, and Empire in Mughal North India - Oxford Scholarship</title>
    <dc:date>2021-01-16T06:42:49+00:00</dc:date>
    <link>https://doi.org/10.1093/oso/9780199495559.001.0001</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["What can war tell us about empire? Climate of Conquest is built around this question. Pratyay Nath eschews the conventional way of writing about warfare primarily in terms of battles and technologies. Instead, he unravels the deep connections that Mughal war-making shared with the broader dynamics of society, culture, and politics. In the process, he offers a new analysis of the Mughal empire from the vantage point of war. Climate of Conquest closely studies the dynamics of the military campaigns that helped the Mughals conquer North India and project their power beyond it. In the first part, Nath argues that these campaigns unfolded in constant negotiation with the diverse natural environment of South Asia. The empire sought to discipline the environment and harness its resources to satisfy its own military needs. At the same time, environmental factors like climate, terrain, and ecology profoundly influenced Mughal military tactics, strategy, and deployment of technology. In the second part, Nath makes three main points. Firstly, he argues that Mughal military success owed a lot to the efficient management of military logistics and the labour of an enormous non-elite, non-combatant workforce. Secondly, he explores the making of imperial frontiers and highlights the roles of forts, routes, and local alliances in the process. Finally, he maps the cultural climate of war at the Mughal court and discusses how the empire legitimized war and conquest. In the process, what emerges is a fresh interpretation of Mughal empire-building as a highly adaptive, flexible, and accommodative process."]]></description>
<dc:subject>to:NB books:noted mughal_empire climate_change india to_download</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:4ca1379f5590/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:mughal_empire"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:india"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_download"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/2101.00967">
    <title>[2101.00967] A Predictive Model for Geographic Distributions of Mangroves</title>
    <dc:date>2021-01-12T22:32:28+00:00</dc:date>
    <link>https://arxiv.org/abs/2101.00967</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Climate change is an impending disaster which is of pressing concern more and more every year. Countless efforts have been made to study the long-term effects of climate change on agriculture, land resources, and biodiversity. Studies involving marine life, however, are less prevalent in the literature. Our research studies the available data on the population of mangroves (groups of shrubs or small trees living in saline coastal intertidal zones) and their correlations to climate change variables, specifically, temperature, heat content, various sea levels, and sea salinity. Mangroves are especially relevant to oceanic ecosystems because of their protective nature towards other marine life, as well as their high absorption rate of carbon dioxide, and their ability to withstand varying levels of salinity of our coasts. The change in global distribution was studied based on global distributions of the previous year, as well as ocean heat content, salinity, temperature, halosteric sea level, thermosteric sea level, and total steric sea level. The best performing predictive model was a support vector regressor, which yielded a correlation coefficient of 0.9998."]]></description>
<dc:subject>to:NB statistics regression climate_change spatio-temporal_statistics to_teach:data_over_space_and_time mangroves</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f8a02409f635/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:regression"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:spatio-temporal_statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_teach:data_over_space_and_time"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:mangroves"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://science.sciencemag.org/content/370/6522/1295">
    <title>Recent global decline of CO2 fertilization effects on vegetation photosynthesis | Science</title>
    <dc:date>2020-12-11T06:21:30+00:00</dc:date>
    <link>https://science.sciencemag.org/content/370/6522/1295</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The enhanced vegetation productivity driven by increased concentrations of carbon dioxide (CO2) [i.e., the CO2 fertilization effect (CFE)] sustains an important negative feedback on climate warming, but the temporal dynamics of CFE remain unclear. Using multiple long-term satellite- and ground-based datasets, we showed that global CFE has declined across most terrestrial regions of the globe from 1982 to 2015, correlating well with changing nutrient concentrations and availability of soil water. Current carbon cycle models also demonstrate a declining CFE trend, albeit one substantially weaker than that from the global observations. This declining trend in the forcing of terrestrial carbon sinks by increasing amounts of atmospheric CO2 implies a weakening negative feedback on the climatic system and increased societal dependence on future strategies to mitigate climate warming."]]></description>
<dc:subject>to_read climate_change climatology ecology yikes</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:faa8f8c275c3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climatology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:ecology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:yikes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.bbc.com/future/article/20201119-atlantic-ocean-the-largest-seaweed-bloom-in-history">
    <title>The seaweed swamping the Atlantic Ocean - BBC Future</title>
    <dc:date>2020-11-29T18:52:00+00:00</dc:date>
    <link>https://www.bbc.com/future/article/20201119-atlantic-ocean-the-largest-seaweed-bloom-in-history</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[The role of fertilizer here is interesting.  It clearly indicates a waste of fertilizer, which isn't free --- why aren't farmers economizing on it?  Or on ways to make sure that more of what's applied is taken up by their crops?  And (putting on my "boy raised by <strike>wolves</strike> economist" hat) is there any way of charging farmers for fertilizer run-off, to internalize the cost it imposes on everyone?]]></description>
<dc:subject>climate_change oceanography ecology agriculture environmental_management</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:ee98d4412d06/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:oceanography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:ecology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:agriculture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:environmental_management"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www-washingtonpost-com.cdn.ampproject.org/v/s/www.washingtonpost.com/photography/2020/04/24/these-photos-explore-how-rising-sea-levels-are-affecting-miami/?outputType=amp&amp;usqp=mq331AQFKAGwASA%3D&amp;amp_js_v=0.1#referrer=https%3A%2F%2Fwww.google.com&amp;amp_tf=From%20%251%24s&amp;ampshare=https%3A%2F%2Fwww.washingtonpost.com%2Fphotography%2F2020%2F04%2F24%2Fthese-photos-explore-how-rising-sea-levels-are-affecting-miami%2F">
    <title>These photos explore how rising sea levels are affecting Miami - The Washington Post</title>
    <dc:date>2020-11-27T05:15:11+00:00</dc:date>
    <link>https://www-washingtonpost-com.cdn.ampproject.org/v/s/www.washingtonpost.com/photography/2020/04/24/these-photos-explore-how-rising-sea-levels-are-affecting-miami/?outputType=amp&amp;usqp=mq331AQFKAGwASA%3D&amp;amp_js_v=0.1#referrer=https%3A%2F%2Fwww.google.com&amp;amp_tf=From%20%251%24s&amp;ampshare=https%3A%2F%2Fwww.washingtonpost.com%2Fphotography%2F2020%2F04%2F24%2Fthese-photos-explore-how-rising-sea-levels-are-affecting-miami%2F</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>photos climate_change</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f5eb86a06946/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:photos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://cup.columbia.edu/book/super-polluters/9780231192170">
    <title>Super Polluters | Columbia University Press</title>
    <dc:date>2020-11-21T19:02:30+00:00</dc:date>
    <link>https://cup.columbia.edu/book/super-polluters/9780231192170</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Power plants are essential to achieving the standard of living that modern societies demand and the social and economic infrastructure on which they depend. Yet their indispensability has allowed them to evade responsibility for their vast carbon emissions. Fossil-fueled power plants are the single largest sites of anthropogenic greenhouse gases, making them one of the greatest threats to our planet’s climate. Significant as they are, we lack a comprehensive understanding of the social causes that enable power plant emissions and continue to delay their reduction.
"Super Polluters offers a groundbreaking global analysis of carbon pollution caused by the generation of electricity, pinpointing who bears the most responsibility for the energy sector’s vast emissions and what can be done about them. The sociologists Don Grant, Andrew Jorgenson, and Wesley Longhofer analyze a novel dataset on the carbon dioxide emissions and structural attributes of thousands of fossil-fueled power plants around the world, identifying which plants discharge the most carbon. They investigate the global, organizational, and political conditions that explain these hyper-emitting facilities’ behavior and call into question the claim that improvements in technical efficiency will always reduce emissions. Grant, Jorgenson, and Longhofer demonstrate which energy and climate policies are most effective at abating power-plant pollution, emphasizing how mobilized citizen activism shapes those outcomes. A comprehensive account of who bears the blame for our warming planet, Super Polluters points to more feasible and effective emission reduction strategies that target the world’s most profligate polluters."]]></description>
<dc:subject>climate_change books:noted in_NB</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:db74fd766dc7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.annualreviews.org/doi/abs/10.1146/annurev-soc-121919-054614">
    <title>Climate Change and Society | Annual Review of Sociology</title>
    <dc:date>2020-11-19T22:10:47+00:00</dc:date>
    <link>https://www.annualreviews.org/doi/abs/10.1146/annurev-soc-121919-054614</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Climate change is one of the greatest ecological and social challenges of the twenty-first century. Sociologists have made important contributions to our knowledge of the human drivers of contemporary climate change, including better understanding of the effects of social structure and political economy on national greenhouse gas emissions, the interplay of power and politics in the corporate sector and in policy systems, and the factors that influence individual actions by citizens and consumers. Sociology is also poised to make important contributions to the study of climate justice across multiple lines of stratification, including race, class, gender, indigenous identity, sexuality and queerness, and disability, and to articulate the effects of climate change on our relationship to nonhuman species. To realize its potential to contribute to the societal discourse on climate change, sociology must become theoretically integrated, engage with other disciplines, and remain concerned with issues related to environmental and climate inequalities."]]></description>
<dc:subject>to:NB sociology climate_change</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:bf2a036bb13d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://science.sciencemag.org/content/370/6518/786?rss=1">
    <title>Terrestrial radiative cooling: Using the cold universe as a renewable and sustainable energy source | Science</title>
    <dc:date>2020-11-19T20:07:30+00:00</dc:date>
    <link>https://science.sciencemag.org/content/370/6518/786?rss=1</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Photonic materials designed at wavelength scales have enabled a range of emerging energy technologies, from solid-state lighting to efficient photovoltaics that have transformed global energy landscapes. Daytime passive radiative cooling materials shed heat from the ground to the cold universe by taking advantage of the terrestrial thermal radiation that is as large as the renewable solar energy. Newly developed photonic materials permit subambient cooling under direct sunshine, and their applications are expanding rapidly enabled by scalable manufacturing. We review here the recent advancement of daytime subambient radiative cooling materials, which allow energy-efficient cooling and are paving the way toward technologies that harvest the coldness from the universe as a new renewable energy source."]]></description>
<dc:subject>to:NB climate_change</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:d57d18641158/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-031219-041314">
    <title>Statistical Methods for Extreme Event Attribution in Climate Science | Annual Review of Statistics and Its Application</title>
    <dc:date>2020-11-19T20:03:42+00:00</dc:date>
    <link>https://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-031219-041314</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Changes in the Earth's climate have been increasingly observed. Assessing the likelihood that each of these changes has been caused by human influence is important for decision making on mitigation and adaptation policy. Because of their large societal and economic impacts, extreme events have garnered much media attention—have they become more frequent and more intense, and if so, why? To answer such questions, extreme event attribution (EEA) tries to estimate extreme event likelihoods under different scenarios. Over the past decade, statistical methods and experimental designs based on numerical models have been developed, tested, and applied. In this article, we review the basic probability schemes, inference techniques, and statistical hypotheses used in EEA. To implement EEA analysis, the climate community relies on the use of large ensembles of climate model runs. We discuss, from a statistical perspective, how extreme value theory could help to deal with the different modeling uncertainties. In terms of interpretation, we stress that causal counterfactual theory offers an elegant framework that clarifies the design of event attributions. Finally, we pinpoint some remaining statistical challenges, including the choice of the appropriate spatio-temporal scales to enhance attribution power, the modeling of concomitant extreme events in a multivariate context, and the coupling of multi-ensemble and observational uncertainties."

]]></description>
<dc:subject>to:NB statistics climate_change extreme_values causal_inference</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:ecbe4ac62085/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:extreme_values"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.annualreviews.org/doi/abs/10.1146/annurev-control-053018-023725">
    <title>The Engineering of Climate Engineering | Annual Review of Control, Robotics, and Autonomous Systems</title>
    <dc:date>2020-11-18T22:52:00+00:00</dc:date>
    <link>https://www.annualreviews.org/doi/abs/10.1146/annurev-control-053018-023725</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["While reducing anthropogenic greenhouse gas emissions remains the most essential element of any strategy to manage climate change risk, it is also in principle possible to directly cool the climate by reflecting some sunlight back to space. Such climate engineering approaches include adding aerosols to the stratosphere and marine cloud brightening. Assessing whether these ideas could reduce risk requires a broad, multidisciplinary research effort spanning climate science, social sciences, and governance. However, if such strategies were ever used, the effort would also constitute one of the most critical engineering design and control challenges ever considered: making real-time decisions for a highly uncertain and nonlinear dynamic system with many input variables, many measurements, and a vast number of internal degrees of freedom, the dynamics of which span a wide range of timescales. Here, we review the engineering design aspects of climate engineering, discussing both progress to date and remaining challenges that will need to be addressed."]]></description>
<dc:subject>climate_change geo-engineering control_theory_and_control_engineering we_are_as_gods_and_might_as_well_get_good_at_it in_NB environmental_management well_when_you_put_it_that_way_how_could_it_possibly_go_epically_tragically_wrong</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:847dcc263560/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:geo-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:control_theory_and_control_engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:we_are_as_gods_and_might_as_well_get_good_at_it"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:environmental_management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:well_when_you_put_it_that_way_how_could_it_possibly_go_epically_tragically_wrong"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.92.035002">
    <title>Rev. Mod. Phys. 92, 035002 (2020) - The physics of climate variability and climate change</title>
    <dc:date>2020-11-13T06:46:32+00:00</dc:date>
    <link>https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.92.035002</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The climate is a forced, dissipative, nonlinear, complex, and heterogeneous system that is out of thermodynamic equilibrium. The system exhibits natural variability on many scales of motion, in time as well as space, and it is subject to various external forcings, natural as well as anthropogenic. This review covers the observational evidence on climate phenomena and the governing equations of planetary-scale flow and presents the key concept of a hierarchy of models for use in the climate sciences. Recent advances in the application of dynamical systems theory, on the one hand, and nonequilibrium statistical physics, on the other hand, are brought together for the first time and shown to complement each other in helping understand and predict the system’s behavior. These complementary points of view permit a self-consistent handling of subgrid-scale phenomena as stochastic processes, as well as a unified handling of natural climate variability and forced climate change, along with a treatment of the crucial issues of climate sensitivity, response, and predictability."

--- Ungated: [https://arxiv.org/abs/1910.00583]]]></description>
<dc:subject>climatology physics statistical_mechanics non-equilibrium to_read climate_change in_NB</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b417d7fb8f93/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climatology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:physics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistical_mechanics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:non-equilibrium"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.mitpressjournals.org/doi/abs/10.1162/glep_a_00578">
    <title>Prisoners of the Wrong Dilemma: Why Distributive Conflict, Not Collective Action, Characterizes the Politics of Climate Change | Global Environmental Politics | MIT Press Journals</title>
    <dc:date>2020-10-31T14:52:26+00:00</dc:date>
    <link>https://www.mitpressjournals.org/doi/abs/10.1162/glep_a_00578</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Climate change policy is generally modeled as a global collective action problem structured by free-riding concerns. Drawing on quantitative data, archival work, and elite interviews, we review empirical support for this model and find that the evidence for its claims is weak relative to the theory’s pervasive influence. We find, first, that the strongest collective action claims appear empirically unsubstantiated in many important climate politics cases. Second, collective action claims—whether in their strongest or in more nuanced versions—appear observationally equivalent to alternative theories focused on distributive conflict within countries. We argue that extant patterns of climate policy making can be explained without invoking free-riding. Governments implement climate policies regardless of what other countries do, and they do so whether a climate treaty dealing with free-riding has been in place or not. Without an empirically grounded model for global climate policy making, institutional and political responses to climate change may ineffectively target the wrong policy-making dilemma. We urge scholars to redouble their efforts to analyze the empirical linkages between domestic and international factors shaping climate policy making in an effort to empirically ground theories of global climate politics. Such analysis is, in turn, the topic of this issue’s special section."]]></description>
<dc:subject>to:NB collective_action climate_change inequality via:henry_farrell</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e9212a0f25ec/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:collective_action"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:inequality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:henry_farrell"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.mitpressjournals.org/doi/abs/10.1162/glep_a_00561?journalCode=glep">
    <title>Catalytic Cooperation | Global Environmental Politics | MIT Press Journals</title>
    <dc:date>2020-10-31T14:52:04+00:00</dc:date>
    <link>https://www.mitpressjournals.org/doi/abs/10.1162/glep_a_00561?journalCode=glep</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Scholars typically model the politics of global public goods or common pool resources as difficult collective action problems. Theories of international organization aim to explain how institutions can promote cooperation by solving the free rider problem. Based on an analysis of a quintessential global collective action problem—international climate mitigation—this article challenges both this diagnosis of the problem and the concomitant institutional remedies. Important elements of climate mitigation exhibit three key features that depart from the canonical model: joint goods, preference heterogeneity, and increasing returns. The presence of these features creates the possibility for “catalytic cooperation.” Under such conditions, the chief barrier to cooperation is not the threat of free riding but the lack of incentive to act in the first place. States and other actors seek to solve this problem by creating “catalytic institutions” that work to shift actors’ preferences and strategies toward cooperative outcomes over time. While catalytic institutions can be seen in many areas of world politics, the 2015 Paris Agreement on climate change has put this logic of cooperation at its core, raising the possibility that similar catalytic institutions may facilitate cooperation in other areas of world politics characterized by analogous problem structures."]]></description>
<dc:subject>institutions collective_action climate_change via:henry_farrell in_NB</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:9463389341d2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:institutions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:collective_action"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:henry_farrell"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nap.edu/catalog/25887/understanding-and-responding-to-global-health-security-risks-from-microbial-threats-in-the-arctic?goal=0_96101de015-b15458a542-102447869&amp;mc_cid=b15458a542&amp;mc_eid=1fdc781427">
    <title>Understanding and Responding to Global Health Security Risks from Microbial Threats in the Arctic: Proceedings of a Workshop | The National Academies Press</title>
    <dc:date>2020-09-30T21:33:41+00:00</dc:date>
    <link>https://www.nap.edu/catalog/25887/understanding-and-responding-to-global-health-security-risks-from-microbial-threats-in-the-arctic?goal=0_96101de015-b15458a542-102447869&amp;mc_cid=b15458a542&amp;mc_eid=1fdc781427</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The National Academies of Sciences, Engineering, and Medicine in collaboration with the InterAcademy Partnership and the European Academies Science Advisory Committee held a workshop in November 2019 to bring together researchers and public health officials from different countries and across several relevant disciplines to explore what is known, and what critical knowledge gaps remain, regarding existing and possible future risks of harmful infectious agents emerging from thawing permafrost and melting ice in the Arctic region. The workshop examined case studies such as the specific case of Arctic region anthrax outbreaks, as a known, observed risk as well as other types of human and animal microbial health risks that have been discovered in snow, ice, or permafrost environments, or that could conceivably exist. The workshop primarily addressed two sources of emerging infectious diseases in the arctic: (1) new diseases likely to emerge in the Arctic as a result of climate change (such as vector-borne diseases) and (2) ancient and endemic diseases likely to emerge in the Arctic specifically as a result of permafrost thaw. Participants also considered key research that could advance knowledge including critical tools for improving observations, and surveillance to advance understanding of these risks, and to facilitate and implement effective early warning systems. Lessons learned from efforts to address emerging or re-emerging microbial threats elsewhere in the world were also discussed. This publication summarizes the presentation and discussion of the workshop."]]></description>
<dc:subject>to:NB plagues_and_peoples climate_change books:noted havent_I_seen_this_movie</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:11f6125555b1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:plagues_and_peoples"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:havent_I_seen_this_movie"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.annualreviews.org/doi/full/10.1146/annurev-polisci-052615-025801">
    <title>Social Movement Theory and the Prospects for Climate Change Activism in the United States | Annual Review of Political Science</title>
    <dc:date>2020-09-09T17:49:48+00:00</dc:date>
    <link>https://www.annualreviews.org/doi/full/10.1146/annurev-polisci-052615-025801</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The issue of climate change poses something of a puzzle. For all the attention accorded the issue, climate change/global warming has spawned surprisingly little grassroots activism in the contemporary United States. Drawing on social movement theory, the author seeks to explain this puzzle. The prevailing consensus among movement scholars is that the prospect for movement emergence is facilitated by the confluence of three factors: the expansion of political opportunities, the availability of mobilizing structures, and cognitive and affective mobilization through framing processes. The author then applies each of these factors to the case of climate change, arguing that (a) awareness of the issue developed during an especially inopportune period in American politics, (b) the organizations that arose to address the issue were ill suited to the kind of grassroots mobilization characteristic of successful movements, and (c) the amorphous nature of the issue played havoc with efforts at strategic framing."]]></description>
<dc:subject>to:NB political_science social_movements climate_change us_politics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:5be99070238c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_movements"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:us_politics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3634572">
    <title>Asset Revaluation and the Existential Politics of Climate Change by Jeff Colgan, Jessica F. Green, Thomas Hale :: SSRN</title>
    <dc:date>2020-07-22T15:36:57+00:00</dc:date>
    <link>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3634572</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["While scholars have typically modeled climate change as a global collective action challenge, we offer a dynamic theory of climate politics based on the present and future revaluation of assets. Climate politics can be understood as a contest between owners of assets that accelerate climate change, such as fossil fuel plants, and owners of assets vulnerable to climate change, like coastal property. To date, obstruction by “climate-forcing” asset holders has been a large barrier to effective climate policy. But as climate change and decarbonization policies proceed, holders of both climate-forcing and “climate-vulnerable” assets stand to lose some or even all of the value of their assets over time, and with them, the basis of their political power. This dynamic contest between opposing interests is likely to intensify in many sites of political contestation, from the subnational to transnational levels. As it does so, climate politics will become increasingly existential, potentially reshaping political alignments within and across countries. Such shifts may further undermine the LIO: as countries develop pro-climate policies at different speeds and magnitudes, they will have incentives to diverge from existing arrangements over trade and economic integration."]]></description>
<dc:subject>to:NB political_economy climate_change</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:a483635e0b48/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_economy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.eenews.net/stories/1063407645">
    <title>OIL AND GAS: Slip-up reveals Chevron ties to architect of climate attack -- Thursday, June 18, 2020 -- www.eenews.net</title>
    <dc:date>2020-06-18T15:58:18+00:00</dc:date>
    <link>https://www.eenews.net/stories/1063407645</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>deceiving_us_has_become_an_industrial_process climate_change the_american_dilemma</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:705fea93033a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:deceiving_us_has_become_an_industrial_process"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:the_american_dilemma"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.hup.harvard.edu/catalog.php?isbn=9780674241077">
    <title>Power after Carbon — Peter Fox-Penner | Harvard University Press</title>
    <dc:date>2020-04-20T18:52:58+00:00</dc:date>
    <link>https://www.hup.harvard.edu/catalog.php?isbn=9780674241077</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["As the damaging and costly impacts of climate change increase, the rapid development of sustainable energy has taken on great urgency. The electricity industry has responded with necessary but wrenching shifts toward renewables, even as it faces unprecedented challenges and disruption brought on by new technologies, new competitors, and policy changes. The result is a collision course between a grid that must provide abundant, secure, flexible, and affordable power, and an industry facing enormous demands for power and rapid, systemic change.
"The fashionable solution is to think small: smart buildings, small-scale renewables, and locally distributed green energy. But Peter Fox-Penner makes clear that these will not be enough to meet our increasing needs for electricity. He points instead to the indispensability of large power systems, battery storage, and scalable carbon-free power technologies, along with the grids and markets that will integrate them. The electric power industry and its regulators will have to provide all of these, even as they grapple with changing business models for local electric utilities, political instability, and technological change. Power after Carbon makes sense of all the moving parts, providing actionable recommendations for anyone involved with or relying on the electric power system."]]></description>
<dc:subject>to:NB books:noted climate_change infrastructure books:suggest_to_library</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:fccd7e6dc4fd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:infrastructure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:suggest_to_library"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://press.princeton.edu/books/hardcover/9780691058863/beyond-global-warming">
    <title>Beyond Global Warming | Princeton University Press</title>
    <dc:date>2020-03-12T15:04:50+00:00</dc:date>
    <link>https://press.princeton.edu/books/hardcover/9780691058863/beyond-global-warming</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Syukuro Manabe is perhaps the leading pioneer of modern climate modeling. Beyond Global Warming is his compelling firsthand account of how the scientific community came to understand the human causes of climate change, and how numerical models using the world’s most powerful computers have been instrumental to these vital discoveries.
"Joined by atmospheric scientist Anthony Broccoli, Manabe shows how climate models have been used as virtual laboratories for examining the complex planetary interactions of atmosphere, ocean, and land. Manabe and Broccoli use these studies as the basis for a broader discussion of human-induced global warming—and what the future may hold for a warming planet. They tell the stories of early trailblazers such as Svante Arrhenius, the legendary Swedish scientist who created the first climate model of Earth more than a century ago, and they provide rare insights into Manabe’s own groundbreaking work over the past five decades. Expertly walking readers through key breakthroughs, they explain why increasing atmospheric carbon dioxide has caused temperatures to rise in the troposphere yet fall in the stratosphere, why the warming of the planet’s surface differs by hemisphere, why drought is becoming more frequent in arid regions despite the global increase in precipitation, and much more."

]]></description>
<dc:subject>books:noted climate_change climatology history_of_science popular_science in_NB books:suggest_to_library</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:8210171fea4a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climatology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:history_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:popular_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:suggest_to_library"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.dissentmagazine.org/article/after-carbon-democracy">
    <title>After Carbon Democracy | Dissent Magazine</title>
    <dc:date>2020-02-12T20:28:31+00:00</dc:date>
    <link>https://www.dissentmagazine.org/article/after-carbon-democracy</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Capitalism is at the heart of the climate challenge."
No, no, no.
(1) Look at the environmental record of the USSR, or of pre-Deng China.  Soviet Earth would be facing ~ as big a climate crisis as Neoliberal Earth (only with Comrade Mann in the role of Sakharov at best).
(2) Maintaining our _current_ sized economies _with our current technologies_ would get us cooked, so it's not _economic growth_ that's the problem.

Purdy knows better.]]></description>
<dc:subject>climate_change environmentalism progressive_forces have_read honestly_disappointed</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:9b12823ab56d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:environmentalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:progressive_forces"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:honestly_disappointed"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.vox.com/energy-and-environment/2019/10/10/20904213/climate-change-steel-cement-industrial-heat-hydrogen-ccs">
    <title>Climate change: this problem is bigger than cars and much harder to solve - Vox</title>
    <dc:date>2020-02-10T05:14:53+00:00</dc:date>
    <link>https://www.vox.com/energy-and-environment/2019/10/10/20904213/climate-change-steel-cement-industrial-heat-hydrogen-ccs</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>climate_change steel cement</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:a6265212610c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:steel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:cement"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.cambridge.org/us/academic/subjects/earth-and-environmental-science/climatology-and-climate-change/statistical-analysis-climate-extremes?format=PB">
    <title>Statistical analysis of climate extremes | Climatology and climate change | Cambridge University Press</title>
    <dc:date>2020-01-30T23:57:18+00:00</dc:date>
    <link>https://www.cambridge.org/us/academic/subjects/earth-and-environmental-science/climatology-and-climate-change/statistical-analysis-climate-extremes?format=PB</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>books:noted statistics extreme_values climate_change to_teach:data_over_space_and_time books:owned in_NB books:suggest_to_library</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:0630e951d710/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:extreme_values"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_teach:data_over_space_and_time"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:owned"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:suggest_to_library"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.cambridge.org/9781108476874">
    <title>Climate mathematics theory and applications | Climatology and climate change | Cambridge University Press</title>
    <dc:date>2019-12-21T16:08:07+00:00</dc:date>
    <link>https://www.cambridge.org/9781108476874</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills."

--- My critical remarks: [http://bactra.org/weblog/algae-2020-07.html#climate]]]></description>
<dc:subject>climate_change climatology mathematics have_read in_NB books:can't_really_recommend</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:34e46ada601e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climatology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:can't_really_recommend"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nber.org/papers/w26084">
    <title>The Cost of a Carbon-Free Electricity System in the U.S.</title>
    <dc:date>2019-12-19T02:03:30+00:00</dc:date>
    <link>https://www.nber.org/papers/w26084</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["I calculate the cost of replacing all power stations in the U.S. using coal and gas by wind and solar power stations by 2050, leaving electric power generation in the U.S. carbon free. Allowing for the savings in the cost of fossil fuel arising from the replacement of fossil fuel plants this is roughly $55 billion annually. Allowing in addition for the fact that most fossil plants in the U.S. are already old and would have to be replaced before 2050 even if we were not to go fossil free, this annual cost is reduced to $23 billion."

--- Encouraging, if true.]]></description>
<dc:subject>to:NB economics climate_change via:jbdelong</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:05c5d3fafb69/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:via:jbdelong"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nap.edu/catalog/10590/sea-level-rise-and-coastal-disasters-summary-of-a-forum">
    <title>Sea Level Rise and Coastal Disasters: Summary of a Forum, October 25, 2001, Washington DC | The National Academies Press</title>
    <dc:date>2019-10-30T19:23:35+00:00</dc:date>
    <link>https://www.nap.edu/catalog/10590/sea-level-rise-and-coastal-disasters-summary-of-a-forum</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Summary of a Forum, October 25, 2001, Washington DC (2002)"]]></description>
<dc:subject>to_read climate_change disasters re:coastal_risks we_were_warned</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:41ac22fb5389/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:disasters"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:re:coastal_risks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:we_were_warned"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nap.edu/catalog/18811/reducing-coastal-risk-on-the-east-and-gulf-coasts">
    <title>Reducing Coastal Risk on the East and Gulf Coasts | The National Academies Press</title>
    <dc:date>2019-10-30T17:07:43+00:00</dc:date>
    <link>https://www.nap.edu/catalog/18811/reducing-coastal-risk-on-the-east-and-gulf-coasts</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Hurricane- and coastal-storm-related losses have increased substantially during the past century, largely due to increases in population and development in the most susceptible coastal areas. Climate change poses additional threats to coastal communities from sea level rise and possible increases in strength of the largest hurricanes. Several large cities in the United States have extensive assets at risk to coastal storms, along with countless smaller cities and developed areas. The devastation from Superstorm Sandy has heightened the nation's awareness of these vulnerabilities. What can we do to better prepare for and respond to the increasing risks of loss?
"Reducing Coastal Risk on the East and Gulf Coasts reviews the coastal risk-reduction strategies and levels of protection that have been used along the United States East and Gulf Coasts to reduce the impacts of coastal flooding associated with storm surges. This report evaluates their effectiveness in terms of economic return, protection of life safety, and minimization of environmental effects. According to this report, the vast majority of the funding for coastal risk-related issues is provided only after a disaster occurs. This report calls for the development of a national vision for coastal risk management that includes a long-term view, regional solutions, and recognition of the full array of economic, social, environmental, and life-safety benefits that come from risk reduction efforts. To support this vision, Reducing Coastal Risk states that a national coastal risk assessment is needed to identify those areas with the greatest risks that are high priorities for risk reduction efforts. The report discusses the implications of expanding the extent and levels of coastal storm surge protection in terms of operation and maintenance costs and the availability of resources.
"Reducing Coastal Risk recommends that benefit-cost analysis, constrained by acceptable risk criteria and other important environmental and social factors, be used as a framework for evaluating national investments in coastal risk reduction. The recommendations of this report will assist engineers, planners and policy makers at national, regional, state, and local levels to move from a nation that is primarily reactive to coastal disasters to one that invests wisely in coastal risk reduction and builds resilience among coastal communities."]]></description>
<dc:subject>to:NB books:noted downloaded climate_change disasters re:coastal_risks have_read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:7deafe69d949/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:downloaded"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:disasters"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:re:coastal_risks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1910.11987">
    <title>[1910.11987] Evidence for higher Earth-system sensitivity from long-term carbon-cycle observations</title>
    <dc:date>2019-10-30T13:41:08+00:00</dc:date>
    <link>https://arxiv.org/abs/1910.11987</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Projections of future temperature are critical for developing sound strategies to address climate risks, but depend on deeply uncertain Earth system properties, including the Earth-system sensitivity (ESS). The ESS is the long-term (e.g., millennial-scale and longer) global warming resulting from a doubling of atmospheric carbon dioxide (CO2) levels, relative to pre-industrial conditions. Long-term carbon cycle models provide a common approach to estimate ESS, but previous efforts either lack a formal data assimilation framework, or focus on paleo periods with the most available data. Here, we improve on ESS estimates by using a Bayesian approach to fuse deep-time paleoclimate data with a long-term carbon cycle model. Our updated ESS estimate of 5.1 ∘C (3.8-6.6 ∘C; 5-95% range) shows a higher and narrower range than previous assessments, implying increased long-term future temperatures and risks. Our sensitivity analysis reveals that chemical and plant-assisted weathering parameters interact strongly with ESS in affecting the simulated atmospheric CO2. Research into improving the understanding about these weathering processes hence provides potentially powerful avenues for further constraining this fundamental and policy-relevant Earth-system property."]]></description>
<dc:subject>to:NB climate_change climatology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:affd85a1279b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climatology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1910.11492">
    <title>[1910.11492] Causal inference for climate change events from satellite image time series using computer vision and deep learning</title>
    <dc:date>2019-10-29T14:19:32+00:00</dc:date>
    <link>https://arxiv.org/abs/1910.11492</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["We propose a method for causal inference using satellite image time series, in order to determine the treatment effects of interventions which impact climate change, such as deforestation. Simply put, the aim is to quantify the 'before versus after' effect of climate related human driven interventions, such as urbanization; as well as natural disasters, such as hurricanes and forest fires. As a concrete example, we focus on quantifying forest tree cover change/ deforestation due to human led causes. The proposed method involves the following steps. First, we uae computer vision and machine learning/deep learning techniques to detect and quantify forest tree coverage levels over time, at every time epoch. We then look at this time series to identify changepoints. Next, we estimate the expected (forest tree cover) values using a Bayesian structural causal model and projecting/forecasting the counterfactual. This is compared to the values actually observed post intervention, and the difference in the two values gives us the effect of the intervention (as compared to the non intervention scenario, i.e. what would have possibly happened without the intervention). As a specific use case, we analyze deforestation levels before and after the hyperinflation event (intervention) in Brazil (which ended in 1993-94), for the Amazon rainforest region, around Rondonia, Brazil. For this deforestation use case, using our causal inference framework can help causally attribute change/reduction in forest tree cover and increasing deforestation rates due to human activities at various points in time."]]></description>
<dc:subject>to:NB causal_inference climate_change statistics spatio-temporal_statistics to_teach:data_over_space_and_time</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:513f9e53ff5f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:spatio-temporal_statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_teach:data_over_space_and_time"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1910.09700">
    <title>[1910.09700] Quantifying the Carbon Emissions of Machine Learning</title>
    <dc:date>2019-10-24T13:43:58+00:00</dc:date>
    <link>https://arxiv.org/abs/1910.09700</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["From an environmental standpoint, there are a few crucial aspects of training a neural network that have a major impact on the quantity of carbon that it emits. These factors include: the location of the server used for training and the energy grid that it uses, the length of the training procedure, and even the make and model of hardware on which the training takes place. In order to approximate these emissions, we present our Machine Learning Emissions Calculator, a tool for our community to better understand the environmental impact of training ML models. We accompany this tool with an explanation of the factors cited above, as well as concrete actions that individual practitioners and organizations can take to mitigate their carbon emissions."]]></description>
<dc:subject>to:NB machine_learning climate_change to_teach:data-mining</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e28426d7dbab/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_teach:data-mining"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.ucpress.edu/book/9780520303676/the-gospel-of-climate-skepticism">
    <title>The Gospel of Climate Skepticism by Robin Globus Veldman - Paperback - University of California Press</title>
    <dc:date>2019-10-22T13:54:47+00:00</dc:date>
    <link>https://www.ucpress.edu/book/9780520303676/the-gospel-of-climate-skepticism</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Why are white evangelicals the most skeptical major religious group in America regarding climate change? Previous scholarship has pointed to cognitive factors such as conservative politics, anti-science attitudes, aversion to big government, and theology. Drawing on qualitative fieldwork, The Gospel of Climate Skepticism reveals the extent to which climate skepticism and anti-environmentalism have in fact become embedded in the social world of many conservative evangelicals. Rejecting the common assumption that evangelicals’ skepticism is simply a side effect of political or theological conservatism, the book further shows that between 2006 and 2015, leaders and pundits associated with the Christian Right widely promoted skepticism as the biblical position on climate change. The Gospel of Climate Skepticism offers a compelling portrait of how during a critical period of recent history, political and religious interests intersected to prevent evangelicals from offering a unified voice in support of legislative action to address climate change."

--- The phenomenon which may yet doom us all.]]></description>
<dc:subject>to:NB books:noted ethnography vast_right-wing_conspiracy climate_change us_politics us_culture_wars</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:2edd3c16e758/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:ethnography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:vast_right-wing_conspiracy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:us_politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:us_culture_wars"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.harrowell.org.uk/blog/2019/09/29/coal-the-manski-bounds-and-the-correct-choice-of-milibands/">
    <title>Coal, the Manski bounds, and the correct choice of Milibands – The Yorkshire Ranter</title>
    <dc:date>2019-10-01T15:59:25+00:00</dc:date>
    <link>http://www.harrowell.org.uk/blog/2019/09/29/coal-the-manski-bounds-and-the-correct-choice-of-milibands/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I didn't know about this stuff by Manski (but should have).]]></description>
<dc:subject>track_down_references markets_as_collective_calculating_devices climate_change carbon_pricing re:in_soviet_union_optimization_problem_solves_you manski.charles_f.</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:6da897924419/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:track_down_references"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:markets_as_collective_calculating_devices"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:carbon_pricing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:re:in_soviet_union_optimization_problem_solves_you"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:manski.charles_f."/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://b8f65cb373b1b7b15feb-c70d8ead6ced550b4d987d7c03fcdd1d.ssl.cf3.rackcdn.com/cms/reports/documents/000/002/327/original/Carbon-Majors-Report-2017.pdf?1499691240">
    <title>The Carbon Majors Database</title>
    <dc:date>2019-10-01T13:42:58+00:00</dc:date>
    <link>https://b8f65cb373b1b7b15feb-c70d8ead6ced550b4d987d7c03fcdd1d.ssl.cf3.rackcdn.com/cms/reports/documents/000/002/327/original/Carbon-Majors-Report-2017.pdf?1499691240</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[--- Turning to the appendix with the actual figures. the dominance of state-owned enterprises as sources is striking, but in retrospect perhaps unsurprising. ]]></description>
<dc:subject>climate_change pollution fossil_fuels</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:512eef589e66/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:pollution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:fossil_fuels"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.ucpress.edu/book/9780520298934/destination-anthropocene">
    <title>Destination Anthropocene by Amelia Moore - Paperback - University of California Press</title>
    <dc:date>2019-08-27T22:06:17+00:00</dc:date>
    <link>https://www.ucpress.edu/book/9780520298934/destination-anthropocene</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Destination Anthropocene documents the emergence of new travel imaginaries forged at the intersection of the natural sciences and the tourism industry in a Caribbean archipelago. Known to travelers as a paradise of sun, sand, and sea, The Bahamas is rebranding itself in response to the rising threat of global environmental change, including climate change. In her imaginative new book, Amelia Moore explores an experimental form of tourism developed in the name of sustainability, one that is slowly changing the way both tourists and Bahamians come to know themselves and relate to island worlds. "]]></description>
<dc:subject>to:NB books:noted tourism climate_change bahamas</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:509121ef5b29/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:tourism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:bahamas"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://link.springer.com/article/10.1007/s11229-017-1617-3">
    <title>Ethics of the scientist qua policy advisor: inductive risk, uncertainty, and catastrophe in climate economics | SpringerLink</title>
    <dc:date>2019-08-03T23:10:21+00:00</dc:date>
    <link>https://link.springer.com/article/10.1007/s11229-017-1617-3</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The main claim is that economists who ignore or downplay catastrophic risks in their representations of uncertainty likely fall afoul of ethical constraints on scientists acting as policy advisors. Such scientists have duties to honestly articulate uncertainties and manage (some) inductive risks, or the risks of being wrong in different ways."]]></description>
<dc:subject>to:NB ethics climate_change philosophy_of_science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:484b8552711b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:ethics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nybooks.com/daily/2019/06/27/the-pentagons-outsized-part-in-the-climate-fight/">
    <title>The Pentagon's Outsized Part in the Climate Fight | by Bill McKibben | NYR Daily | The New York Review of Books</title>
    <dc:date>2019-07-29T18:40:12+00:00</dc:date>
    <link>https://www.nybooks.com/daily/2019/06/27/the-pentagons-outsized-part-in-the-climate-fight/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>have_read climate_change us_military american_hegemony</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:120cb7970227/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:us_military"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:american_hegemony"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arxiv.org/abs/1906.05433">
    <title>[1906.05433] Tackling Climate Change with Machine Learning</title>
    <dc:date>2019-06-14T11:45:20+00:00</dc:date>
    <link>https://arxiv.org/abs/1906.05433</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change."

--- My gut reaction is that this is well-intentioned but point-missing, but note the final tags.]]></description>
<dc:subject>to:NB climate_change machine_learning to_read color_me_skeptical</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:8384f7af78ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_read"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:color_me_skeptical"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.annualreviews.org/doi/full/10.1146/annurev-environ-102017-025826">
    <title>Mapping Sea-Level Change in Time, Space, and Probability | Annual Review of Environment and Resources</title>
    <dc:date>2019-05-26T17:49:57+00:00</dc:date>
    <link>https://www.annualreviews.org/doi/full/10.1146/annurev-environ-102017-025826</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Future sea-level rise generates hazards for coastal populations, economies, infrastructure, and ecosystems around the world. The projection of future sea-level rise relies on an accurate understanding of the mechanisms driving its complex spatio-temporal evolution, which must be founded on an understanding of its history. We review the current methodologies and data sources used to reconstruct the history of sea-level change over geological (Pliocene, Last Interglacial, and Holocene) and instrumental (tide-gauge and satellite alimetry) eras, and the tools used to project the future spatial and temporal evolution of sea level. We summarize the understanding of the future evolution of sea level over the near (through 2050), medium (2100), and long (post-2100) terms. Using case studies from Singapore and New Jersey, we illustrate the ways in which current methodologies and data sources can constrain future projections, and how accurate projections can motivate the development of new sea-level research questions across relevant timescales."

(Last tag unusually tentative)
]]></description>
<dc:subject>to:NB climate_change prediction oceanography to_teach:data_over_space_and_time</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:845bd35cc686/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:oceanography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to_teach:data_over_space_and_time"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.annualreviews.org/doi/abs/10.1146/annurev-polisci-050317-070830">
    <title>Climate Change and Conflict | Annual Review of Political Science</title>
    <dc:date>2019-05-26T16:58:09+00:00</dc:date>
    <link>https://www.annualreviews.org/doi/abs/10.1146/annurev-polisci-050317-070830</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The link between climate change and conflict has been discussed intensively in academic literature during the past decade. This review aims to provide a clearer picture of what the research community currently has to say with regard to this nexus. It finds that the literature has not detected a robust and general effect linking climate to conflict onset. Substantial agreement exists that climatic changes contribute to conflict under some conditions and through certain pathways. In particular, the literature shows that climatic conditions breed conflict in fertile grounds: in regions dependent on agriculture and in combination and interaction with other socioeconomic and political factors such as a low level of economic development and political marginalization. Future research should continue to investigate how climatic changes interact with and/or are conditioned by socioeconomic, political, and demographic settings to cause conflict and uncover the causal mechanisms that link these two phenomena."]]></description>
<dc:subject>to:NB climate_change war</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:7f1910348a14/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:war"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.thenation.com/article/political-theory-for-an-age-of-climate-change/">
    <title>What Will the State Look Like in an Era of Ecological Disaster? | The Nation</title>
    <dc:date>2018-12-11T16:32:04+00:00</dc:date>
    <link>https://www.thenation.com/article/political-theory-for-an-age-of-climate-change/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[None of these sound like they're worth the time to read, so the review is useful.]]></description>
<dc:subject>book_reviews climate_change progressive_forces political_philosophy books_losslessly_compressible_to_their_titles</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:027d8950cffa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:book_reviews"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:progressive_forces"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:political_philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books_losslessly_compressible_to_their_titles"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://keith.seas.harvard.edu/publications/climatic-impacts-wind-power">
    <title>Climatic Impacts of Wind Power | The Keith Group</title>
    <dc:date>2018-10-15T00:54:31+00:00</dc:date>
    <link>https://keith.seas.harvard.edu/publications/climatic-impacts-wind-power</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["We find that generating today’s US electricity demand (0.5 TWe) with wind power would warm Continental US surface temperatures by 0.24C. Warming arises, in part, from turbines redistributing heat by mixing the boundary layer. Modeled diurnal and seasonal temperature differences are roughly consistent with recent observations of warming at wind farms, reflecting a coherent mechanistic understanding for how wind turbines alter climate. The warming effect is: small compared with projections of 21st century warming, approximately equivalent to the reduced warming achieved by decarbonizing global electricity generation, and large compared with the reduced warming achieved by decarbonizing US electricity with wind. For the same generation rate, the climatic impacts from solar photovoltaic systems are about ten times smaller than wind systems. Wind’s overall environmental impacts are surely less than fossil energy. Yet, as the energy system is decarbonized, decisions between wind and solar should be informed by estimates of their climate impacts."

--- Via a student's answer to the midterm exam!]]></description>
<dc:subject>to:NB climate_change</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b789dd911efb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:to:NB"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:climate_change"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>