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    <title>Does my home have lead pipes? Check your Chicago address - Chicago Sun-Times</title>
    <dc:date>2025-08-29T16:09:31+00:00</dc:date>
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    <dc:creator>msszczep</dc:creator><dc:subject>chicago health environment data map reference useful app database datasets</dc:subject>
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    <title>The Mothership Vortex: An Investigation Into the Firm at the Heart of the Democratic Spam Machine</title>
    <dc:date>2025-08-20T22:32:49+00:00</dc:date>
    <link>https://data4democracy.substack.com/p/the-mothership-vortex-an-investigation</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[After subtracting these massive operational costs—the payments to Mothership, the fees for texting services, the cost of digital ads and list rentals—the final sum delivered to candidates and committees is vanishingly small. My analysis of the network's FEC disbursements reveals that, at most, $11 million of the $678 million raised from individuals has made its way to candidates, campaigns, or the national party committees.

But here's the number that should end all debate:

This represents a fundraising efficiency rate of just 1.6 percent.

Here's what that number means: for every dollar a grandmother in Iowa donates believing she's saving democracy, 98 cents goes to consultants and o]]></description>
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    <title>Dr. James H. Gundlach: &quot;I now have pulled together from all the attempts I can find and figure out to measure how much conservative/religious forces increase death rates. See ALT to see why I focus on age 20-64. 🧪💡☠️ #Sociology #Population #Demo</title>
    <dc:date>2025-07-15T10:17:36+00:00</dc:date>
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    <dc:creator>msszczep</dc:creator><description><![CDATA[I now have pulled together from all  the attempts I can find and figure out to measure how much conservative/religious forces increase death rates.]]></description>
<dc:subject>graphic graphics infographic infographics data religion science death</dc:subject>
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    <title>SQL Noir - Interactive SQL Detective Game | Learn SQL Through Mystery Solving</title>
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    <title>64 Examples of Systemic Racism Against Black Americans — Curious Refuge</title>
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    <title>Godot Isn't Making it</title>
    <dc:date>2025-05-13T16:32:20+00:00</dc:date>
    <link>https://www.wheresyoured.at/godot-isnt-making-it/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Generative AI isn’t a revolution, it’s an evolution of a tech industry overtaken by growth-hungry management consultant types that neither know the problems that real people face nor how to fix them. It’s a sickening waste, a monument to the corrupting force of growth, and a sign that the people in power no longer work for you, the customer, but for the venture capitalists and the markets.

I also want to be clear that none of these companies ever had a plan. They believed that if they threw enough GPUs together they would turn generative AI – probabilistic models for generating stuff — into some sort of sentient computer. It’s much easier, and more comfortable, to look at the world as a series of conspiracies and grand strategies, and far scarier to see it for what it is — extremely rich and powerful people that are willing to bet insanely large amounts of money on what amounts to a few PDFs and their gut. ]]></description>
<dc:subject>ai chatgpt advertising tech technology bot business data</dc:subject>
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<item rdf:about="https://platform.coop/">
    <title>Platform Cooperativism Consortium | A hub that helps you start, grow, or convert to platform co-ops.</title>
    <dc:date>2025-04-29T18:16:59+00:00</dc:date>
    <link>https://platform.coop/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Platform cooperatives are businesses that sell goods or services primarily through a website, mobile app, or protocol. They rely on democratic decision-making and shared platform ownership by workers and users.]]></description>
<dc:subject>media inspiration inspiring business activism economy economics data career careers job jobs parecon justice money</dc:subject>
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<item rdf:about="https://www.vox.com/climate/377072/data-energy-trends-renewables-transition-escape-velocity">
    <title>Climate progress: What do the economic data reveal about the ongoing energy transition? | Vox</title>
    <dc:date>2025-04-27T15:32:36+00:00</dc:date>
    <link>https://www.vox.com/climate/377072/data-energy-trends-renewables-transition-escape-velocity</link>
    <dc:creator>msszczep</dc:creator><dc:subject>energy environment solar climate climatechange climatecrisis carbon data economics economy graphics infographic infographics chart</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:6fc41c1fe716/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:energy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:environment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:solar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatechange"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:carbon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:economy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:graphics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:infographic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:infographics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chart"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@n.bergsma/from-chaos-to-clarity-applying-domain-driven-design-with-functional-languages-in-a-serverless-wild-674d6bca8149">
    <title>From Chaos to Clarity: Applying Domain-Driven Design with Functional Languages in a Serverless Wild | by Niels Bergsma | Mar, 2025 | Medium</title>
    <dc:date>2025-04-02T14:51:28+00:00</dc:date>
    <link>https://medium.com/@n.bergsma/from-chaos-to-clarity-applying-domain-driven-design-with-functional-languages-in-a-serverless-wild-674d6bca8149</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[This article series will explore what happens when you mix DDD with functional programming — in our case, using Haskell and Elm — and let it loose inside a serverless architecture, specifically on Cloudflare Workers. We’ll talk about bounded contexts, aggregates, use cases, projections, and all those lovely DDD patterns. We’ll go from the usual cloud-first mindset toward something braver and bolder: local-first. Think of it as rethinking where your code lives and what it’s doing there, all while trying not to break the universe.]]></description>
<dc:subject>code philosophy software programming functional elm haskell data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:efe329f8b497/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:philosophy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:functional"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:elm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:haskell"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://theintercept.com/2025/03/17/lapd-surveillance-gaza-palestine-protests-dataminr/">
    <title>LAPD Surveilled Gaza Protests Using This Social Media Tool</title>
    <dc:date>2025-03-27T20:55:10+00:00</dc:date>
    <link>https://theintercept.com/2025/03/17/lapd-surveillance-gaza-palestine-protests-dataminr/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Police records obtained by The Intercept show Dataminr tracked Gaza-related protests and other constitutionally protected speech.

]]></description>
<dc:subject>protest activism surveillance twitter police data bigdata law legal socialmedia</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:631ad3973021/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:protest"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:surveillance"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:twitter"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:law"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:legal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:socialmedia"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://techcrunch.com/2025/03/06/a-quarter-of-startups-in-ycs-current-cohort-have-codebases-that-are-almost-entirely-ai-generated/">
    <title>A quarter of startups in YC's current cohort have codebases that are almost entirely AI-generated | TechCrunch</title>
    <dc:date>2025-03-11T22:59:44+00:00</dc:date>
    <link>https://techcrunch.com/2025/03/06/a-quarter-of-startups-in-ycs-current-cohort-have-codebases-that-are-almost-entirely-ai-generated/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[With the release of new AI models that are better at coding, developers are increasingly using AI to generate code. One of the newest examples is the current batch coming out of Y Combinator, the storied Silicon Valley startup accelerator. A quarter of the W25 startup batch have 95% of their codebases generated by AI, YC managing partner Jared Friedman said during a conversation posted on YouTube.

Friedman said that this 95% figure didn’t include things like code written to import libraries but took into consideration the code typed by humans as compared to AI.]]></description>
<dc:subject>code ai chatgpt software programming machinelearning startup startups data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:3320894c620b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chatgpt"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:startup"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.warpnews.org/human-progress/economic-inequality-decreases-in-more-countries-2/">
    <title>💵 Economic inequality decreases in more countries</title>
    <dc:date>2025-03-11T20:30:35+00:00</dc:date>
    <link>https://www.warpnews.org/human-progress/economic-inequality-decreases-in-more-countries-2/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[The number of countries with high inequality has decreased from 74 to 51 between 2000 and 2020.

During the Covid-19 pandemic, inequality continued to decrease - 52 out of 72 studied countries showed reduced inequality.

The number of countries with low inequality increased from 20 to 32 between 2000 and 2020.]]></description>
<dc:subject>news information data economy economics world inspiration inspiring</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:a2a7919b0a95/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:news"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:information"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:inspiring"/>
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</item>
<item rdf:about="https://www.ft.com/content/7ba9da9c-2bba-4c0d-8ea0-ba907325a611">
    <title>Only 36 companies account for half of global emissions, report estimates</title>
    <dc:date>2025-03-09T13:45:46+00:00</dc:date>
    <link>https://www.ft.com/content/7ba9da9c-2bba-4c0d-8ea0-ba907325a611</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[More than half of the world’s greenhouse gas emissions in 2023 can be linked to just 36 fossil fuel and cement producers, according to a report from the Carbon Majors database. 

The climate watchdog found that emissions from the world’s largest oil, gas, coal and cement producers increased in 2023, with state-owned companies making up 16 of the top 20 emitters.

The top five state-owned emitters — Saudi Aramco, Coal India, CHN Energy, National Iranian Oil Company and Jinneng Group — accounted for nearly a fifth of all global emissions in 2023.

The top five investor-owned emitters — ExxonMobil, Chevron, Shell, TotalEnergies and BP — made up 5 per cent of emissions.  ]]></description>
<dc:subject>corporate corporation corporations government world climate carbon climatechange statistics data climatecrisis globalwarming environment parecon energy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:f78d4c9cda69/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:corporate"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatechange"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://choosedemocracy.us/resist-list/">
    <title>Choose Democracy – Resist List</title>
    <dc:date>2025-03-04T00:48:17+00:00</dc:date>
    <link>https://choosedemocracy.us/resist-list/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[They want us to think we’re alone. We are not.

The Resistance is Everywhere.

Hopescroll through stories of people’s noncooperation against Trump’s coup.

Jump to databases of noncooperation or trackers of ligitation and impact.

Follow our social media accounts to stay updated.]]></description>
<dc:subject>data database databases activism protest inspiration reference useful political politics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:3cbd29cc4276/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:databases"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:politics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://theness.com/neurologicablog/who-believes-misinformation/">
    <title>Who Believes Misinformation - NeuroLogica Blog</title>
    <dc:date>2025-02-15T18:54:42+00:00</dc:date>
    <link>https://theness.com/neurologicablog/who-believes-misinformation/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[First, I think we need to seriously consider how critical thinking is taught (or not taught) in schools. Real critical thinking skills need to be taught at every level and in almost every subject, but also as a separate dedicated course (perhaps combined with some basic scientific literacy and media savvy). Hey, one can dream.

The probability of doing something meaningful in terms of regulating media seems close to zero. That ship has sailed. The fairness doctrine is gone. We live in the proverbial wild west of misinformation, and this is not likely to change anytime soon. Therefore, individually, we can protect ourselves by being skeptical, working our analytical thinking skills, checking our own biases and motivated reasoning, and not relying on a few ideologically aligned sources of news. One good rule of thumb is to be especially skeptical of any news that reinforces your existing biases. But dealing with a societal problem on an individual level is always a tricky proposition.]]></description>
<dc:subject>media socialmedia rightwing political politics information data research science</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:f57d39543788/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:socialmedia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:rightwing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:political"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:politics"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://robhorning.substack.com/p/data-are-not-commons">
    <title>Data are not commons - by Rob Horning - Internal exile</title>
    <dc:date>2025-01-10T19:11:55+00:00</dc:date>
    <link>https://robhorning.substack.com/p/data-are-not-commons</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[“The web has become the primary communal source of data, or ‘data commons’, for general-purpose and multi-modal AI systems.”

What community are they talking about? And what aspect of the “web” do they mean? The text, the interactions, the metadata, the behavioral data, the location data, or what? Since when is the “web” owned in common? It verges on tautology, but if a piece of information is valuable, someone will assert property rights over it, and if property rights are invoked, you can assume the information involved can be exploited. Once machine learning models make seemingly valueless data purportedly useful again, property rights begin to be claimed again. There will likewise be an incentive for more data to be made, with or without the consent of the objects of that data.

“Data” is made, not found and depleted like a natural resource.]]></description>
<dc:subject>data bigdata internet datascience philosophy tech technology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:e17505ea2630/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:internet"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:datascience"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:technology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://bad-faith-times.ghost.io/jimmy-garoppolo-the-2024-election-and-how-i-learned-to-watch-the-game/">
    <title>Jimmy Garoppolo, The 2024 Election, And How I Learned To Watch The Game</title>
    <dc:date>2024-11-04T23:29:51+00:00</dc:date>
    <link>https://bad-faith-times.ghost.io/jimmy-garoppolo-the-2024-election-and-how-i-learned-to-watch-the-game/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Don't let the computers tell you Jimmy Garoppolo is elite or the 2024 presidential contest is a coin flip]]></description>
<dc:subject>sport sports football nfl political politics election elections media analysis data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:ce1eab354886/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:sport"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:sports"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:football"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:nfl"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2024/10/29/opinion/trump-national-decline-data.html">
    <title>Opinion | Trump Says America Is ‘Dying.’ The Data Say Otherwise. - The New York Times</title>
    <dc:date>2024-10-29T16:31:33+00:00</dc:date>
    <link>https://www.nytimes.com/2024/10/29/opinion/trump-national-decline-data.html</link>
    <dc:creator>msszczep</dc:creator><dc:subject>data statistics usa health society</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:51f7005855fc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:usa"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:health"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:society"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://theconversation.com/scientists-around-the-world-report-millions-of-new-discoveries-every-year-but-this-explosive-research-growth-wasnt-what-experts-predicted-237274">
    <title>Scientists around the world report millions of new discoveries every year − but this explosive research growth wasn’t what experts predicted</title>
    <dc:date>2024-10-18T21:53:15+00:00</dc:date>
    <link>https://theconversation.com/scientists-around-the-world-report-millions-of-new-discoveries-every-year-but-this-explosive-research-growth-wasnt-what-experts-predicted-237274</link>
    <dc:creator>msszczep</dc:creator><dc:subject>research science data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:8b939d0ab354/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://birdsoftheworld.org/bow/home">
    <title>Birds of the World - Cornell Lab of Ornithology</title>
    <dc:date>2024-09-30T12:02:16+00:00</dc:date>
    <link>https://birdsoftheworld.org/bow/home</link>
    <dc:creator>msszczep</dc:creator><dc:subject>biology life science reference useful research data database</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:bed5cc673e55/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:database"/>
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</item>
<item rdf:about="https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech">
    <title>Data center emissions probably 662% higher than big tech claims. Can it keep up the ruse? | Technology | The Guardian</title>
    <dc:date>2024-09-17T13:37:27+00:00</dc:date>
    <link>https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Big tech has made some big claims about greenhouse gas emissions in recent years. But as the rise of artificial intelligence creates ever bigger energy demands, it’s getting hard for the industry to hide the true costs of the data centers powering the tech revolution.

According to a Guardian analysis, from 2020 to 2022 the real emissions from the “in-house” or company-owned data centers of Google, Microsoft, Meta and Apple are likely about 662% – or 7.62 times – higher than officially reported.]]></description>
<dc:subject>company corporation corporations environment energy computing computers ai global globalwarming climate climatechange climatecrisis carbon data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:9a6edbd55b30/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:globalwarming"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatechange"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatecrisis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:carbon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
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</item>
<item rdf:about="https://www.climate.gov/climatedashboard">
    <title>Global Climate Dashboard | NOAA Climate.gov</title>
    <dc:date>2024-09-16T20:14:31+00:00</dc:date>
    <link>https://www.climate.gov/climatedashboard</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Tracking climate change and natural variability over time.]]></description>
<dc:subject>climate weather data science research earth globalwarming climatechange climatecrisis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:23a5bafbfce1/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatechange"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatecrisis"/>
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</item>
<item rdf:about="https://www.qbreader.org/">
    <title>QB Reader</title>
    <dc:date>2024-06-17T19:08:15+00:00</dc:date>
    <link>https://www.qbreader.org/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[A text-based quizbowl packet reader and database created by Geoffrey Wu.

]]></description>
<dc:subject>trivia quiz online questions data database</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:7f470aa41069/</dc:identifier>
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</item>
<item rdf:about="https://www.nytimes.com/2024/04/07/opinion/gmail-email-digital-shame.html">
    <title>Opinion | Happy 20th Anniversary, Gmail. I’m Sorry I’m Leaving You. - The New York Times</title>
    <dc:date>2024-04-10T00:43:31+00:00</dc:date>
    <link>https://www.nytimes.com/2024/04/07/opinion/gmail-email-digital-shame.html</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[There is no end of theories for why the internet feels so crummy these days. The New Yorker blames the shift to algorithmic feeds. Wired blames a cycle in which companies cease serving their users and begin monetizing them. The M.I.T. Technology Review blames ad-based business models. The Verge blames search engines. I agree with all these arguments. But here’s another: Our digital lives have become one shame closet after another.

A shame closet is that spot in your home where you cram the stuff that has nowhere else to go. It doesn’t have to be a closet. It can be a garage or a room or a chest of drawers or all of them at once. Whatever the space, it is defined by the absence of choices about what goes into it. There are things you need in there. There are things you will never need in there. But as the shame closet grows, the task of excavation or organization becomes too daunting to contemplate.

The shame closet era of the internet had a beginning. It was 20 years ago that Google unveiled Gmail.]]></description>
<dc:subject>internet google email data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:666933f8b65b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.ploeh.dk/2024/02/19/extracting-data-from-a-small-csv-file-with-haskell/">
    <title>Extracting data from a small CSV file with Haskell</title>
    <dc:date>2024-02-24T01:44:29+00:00</dc:date>
    <link>https://blog.ploeh.dk/2024/02/19/extracting-data-from-a-small-csv-file-with-haskell/</link>
    <dc:creator>msszczep</dc:creator><dc:subject>data code haskell blog programming tech technology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:cfeb7a02b979/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:haskell"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:blog"/>
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</item>
<item rdf:about="https://mariadb.org/">
    <title>MariaDB Foundation - MariaDB.org</title>
    <dc:date>2024-02-02T04:35:39+00:00</dc:date>
    <link>https://mariadb.org/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[MariaDB Server is one of the most popular open source relational databases. It’s made by the original developers of MySQL and guaranteed to stay open source. It is part of most cloud offerings and the default in most Linux distributions.]]></description>
<dc:subject>database mysql software data sql opensource</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:fe44edffed55/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:sql"/>
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</item>
<item rdf:about="https://prospect.org/health/2023-12-08-life-death-cost-conservative-power/">
    <title>The Life-and-Death Cost of Conservative Power - The American Prospect</title>
    <dc:date>2024-01-30T17:04:54+00:00</dc:date>
    <link>https://prospect.org/health/2023-12-08-life-death-cost-conservative-power/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[The shift of policymaking to the states is often justified on grounds of federalism and the belief that decisions should be left to the level of government closest to the people. But if conservatives genuinely believed in that principle, would they be agitating now for a national law to ban abortion? Would they be hoping that the Supreme Court continues to strike down state and local gun restrictions? Would they continue to support decisions by state legislatures to preempt local laws? What unites the right is not a principled belief in federalism or local control but a preference for making decisions at whatever level of government they dominate.

What also unites conservatives is a complete absence of any self-reflection about the impact of their policies on life and death in America. The futility thesis must be a great consolation to those who believe in it because otherwise they would have to confront the toll that their policies have taken. The balance of power in the states has been literally a life-and-death matter. Liberals and progressives should know that the policies they have struggled to enact have not been in vain.]]></description>
<dc:subject>government policy usa republican republicans democrats health healthcare life death statistics data research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:353a818cdab0/</dc:identifier>
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</item>
<item rdf:about="https://www.whoismakingnews.com/">
    <title>Who's Making News? - (for Sex Crimes Involving Children?)</title>
    <dc:date>2024-01-16T16:19:02+00:00</dc:date>
    <link>https://www.whoismakingnews.com/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Hi, I’m Kristen Browde, and this site was set up for two reasons: 1) because people wanted to see the data that goes into my TikTok series, Who's Making News for Sex Crimes Involving Children and 2) because I believe that data transparency is important - it’s vital that all this data be verifiable and that any researcher or fact checker can have easy access. This collection of data started in mid-February 2023 and is limited to the United States only. This data consists of crimes involving actual assaults on children. It does not include arrests in “sting” or CSAM possession cases, except where the perpetrator is charged with creating the CSAM, and thus has direct contact with a victim.

Who is actually committing crimes against children?]]></description>
<dc:subject>data children reference rightwing politics sex crime religion</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:0fa2b546b299/</dc:identifier>
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</item>
<item rdf:about="https://www.bls.gov/opub/reports/womens-earnings/2021/home.htm">
    <title>Highlights of women's earnings in 2021 : BLS Reports: U.S. Bureau of Labor Statistics</title>
    <dc:date>2023-11-20T02:08:47+00:00</dc:date>
    <link>https://www.bls.gov/opub/reports/womens-earnings/2021/home.htm</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[In 2021, women who were full-time wage and salary workers had median usual weekly earnings that were 83 percent of those of male full-time wage and salary workers. In 1979, the first year for which comparable earnings data are available, women’s earnings were 62 percent of men’s earnings. Most of the growth in women’s earnings relative to men’s occurred in the 1980s (when the women’s-to-men’s ratio went from 64 percent to 70 percent) and in the 1990s (when the ratio went from 72 percent to 77 percent). Since 2004, the women’s-to-men’s earnings ratio has remained in the 80 to 83 percent range. ]]></description>
<dc:subject>statistics money reference data government usa men women woman gender sex sexism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:b76ea7c669cd/</dc:identifier>
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</item>
<item rdf:about="https://www.nytimes.com/2023/11/11/opinion/marriage-women-men-dating.html">
    <title>Opinion | Why Aren’t More People Getting Married? Ask Women What Dating Is Like. - The New York Times</title>
    <dc:date>2023-11-12T04:59:17+00:00</dc:date>
    <link>https://www.nytimes.com/2023/11/11/opinion/marriage-women-men-dating.html</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Having written about gender, dating, and reproduction for years, I’m struck by how blithely these admonitions to get married skate over people’s lived experience. A more granular look at what the reality of dating looks and feels like for straight women can go a long way toward explaining why marriage rates are lower than policy scholars would prefer.

On the rare occasions that women are actually asked about their experiences with relationships, the answers are rarely what anyone wants to hear. In the late 1990s, the sociologists Kathryn Edin and Maria Kefalas interviewed 162 low-income single mothers in Camden, N.J., and Philadelphia to understand why they had children without being married. “Money is seldom the primary reason” why mothers say they are no longer with their children’s fathers. Instead, mothers point to “far more serious” offenses: “It is the drug and alcohol abuse, the criminal behavior and consequent incarceration, the repeated infidelity, and the patterns of intimate violence that are the villains looming largest in poor mothers’ accounts of relational failure.”]]></description>
<dc:subject>marriage women men feminism sexism data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:c976b3a8b285/</dc:identifier>
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</item>
<item rdf:about="https://www.nytimes.com/2023/10/19/technology/allen-institute-open-source-ai.html">
    <title>An Industry Insider Drives an Open Alternative to Big Tech’s A.I. - The New York Times</title>
    <dc:date>2023-10-19T13:39:27+00:00</dc:date>
    <link>https://www.nytimes.com/2023/10/19/technology/allen-institute-open-source-ai.html</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[The nonprofit Allen Institute for AI, led by a respected computer scientist who sold his company to Apple, is trying to democratize cutting-edge research.]]></description>
<dc:subject>chatgpt ai code opensource software programming bigdata data hope future tech technology</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:38902feb26f9/</dc:identifier>
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</item>
<item rdf:about="https://blog.wolfram.com/2023/09/15/creamy-or-crunchy-visualizing-food-protein-structures-in-wolfram-language/">
    <title>Creamy or Crunchy: Visualizing Food Protein Structures in Wolfram Language—Wolfram Blog</title>
    <dc:date>2023-10-16T11:21:26+00:00</dc:date>
    <link>https://blog.wolfram.com/2023/09/15/creamy-or-crunchy-visualizing-food-protein-structures-in-wolfram-language/</link>
    <dc:creator>msszczep</dc:creator><dc:subject>chemistry biochemistry food code wolfram software programming data bigdata visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:882c15f259b4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chemistry"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:visualization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.kaggle.com/datasets/abhinavwalia95/entity-annotated-corpus">
    <title>Annotated Corpus for Named Entity Recognition</title>
    <dc:date>2023-10-02T19:03:55+00:00</dc:date>
    <link>https://www.kaggle.com/datasets/abhinavwalia95/entity-annotated-corpus</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Context:
Annotated Corpus for Named Entity Recognition using GMB(Groningen Meaning Bank) corpus for entity classification with enhanced and popular features by Natural Language Processing applied to the data set.

Tip: Use Pandas Dataframe to load dataset if using Python for convenience.

Content:
This is the extract from GMB corpus which is tagged, annotated and built specifically to train the classifier to predict named entities such as name, location, etc.

]]></description>
<dc:subject>nlp software data bigdata useful programming code corpora</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:675e5db86e7e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:useful"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:corpora"/>
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</item>
<item rdf:about="https://mskellymhayes.substack.com/p/a-major-victory-in-the-fight-to-erase">
    <title>A Major Victory In The Fight to Erase Chicago's Gang Database</title>
    <dc:date>2023-09-26T01:01:10+00:00</dc:date>
    <link>https://mskellymhayes.substack.com/p/a-major-victory-in-the-fight-to-erase</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[This month, Chicago’s interim Community Commission for Public Safety and Accountability voted to call off plans for a new Chicago gang database. This vote is a major victory for Chicago organizers, who have been waging a campaign to “Erase the Database” for years. In 2019, Chicago’s former inspector general released a report revealing that 134,242 people were listed in the database as gang members. About 95% of those police had listed as gang members in the database were Black or Latinx. The youngest person police entered into the database was nine years-old, and the oldest was 75. As Alyxandra Goodwin wrote in 2017, “The gang database is an excuse to justify further surveillance and excessive force against Black and Brown folks in this very sensitive time regarding citizenship.”]]></description>
<dc:subject>chicago data database police black city justice activism success inspiration inspiring</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:96fd1b54ec29/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chicago"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:police"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:black"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:justice"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:activism"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:inspiration"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:inspiring"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://nymag.com/intelligencer/article/ai-artificial-intelligence-humans-technology-business-factory.html">
    <title>Inside the AI Factory: The Humans That Make Tech Seem Human</title>
    <dc:date>2023-09-25T04:03:02+00:00</dc:date>
    <link>https://nymag.com/intelligencer/article/ai-artificial-intelligence-humans-technology-business-factory.html</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[ChatGPT seems so human because it was trained by an AI that was mimicking humans who were rating an AI that was mimicking humans who were pretending to be a better version of an AI that was trained on human writing.

This circuitous technique is called “reinforcement learning from human feedback,” or RLHF, and it’s so effective that it’s worth pausing to fully register what it doesn’t do. When annotators teach a model to be accurate, for example, the model isn’t learning to check answers against logic or external sources or about what accuracy as a concept even is. The model is still a text-prediction machine mimicking patterns in human writing, but now its training corpus has been supplemented with bespoke examples, and the model has been weighted to favor them. Maybe this results in the model extracting patterns from the part of its linguistic map labeled as accurate and producing text that happens to align with the truth, but it can also result in it mimicking the confident style and expert jargon of the accurate text while writing things that are totally wrong. ]]></description>
<dc:subject>ai data chatgpt bot machinelearning code software bigdata programming labor inequality</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:a767b61d4d54/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:ai"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chatgpt"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bot"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:labor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:inequality"/>
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</item>
<item rdf:about="https://github.com/susanli2016/NLP-with-Python/blob/master/LDA_news_headlines.ipynb">
    <title>NLP-with-Python/LDA_news_headlines.ipynb at master · susanli2016/NLP-with-Python</title>
    <dc:date>2023-09-23T12:27:25+00:00</dc:date>
    <link>https://github.com/susanli2016/NLP-with-Python/blob/master/LDA_news_headlines.ipynb</link>
    <dc:creator>msszczep</dc:creator><dc:subject>nlp python data code software programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:eae3898d4bdd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.fakenewsradio.org/">
    <title>Fake News Radio</title>
    <dc:date>2023-09-22T18:11:06+00:00</dc:date>
    <link>https://www.fakenewsradio.org/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[87 universities support 260 radio stations that deny global warming
 
Republican talk radio is worth $4.6 Billion FREE every year to the GOP - what are they selling?]]></description>
<dc:subject>media radio rightwing republican republicans data analysis audio climate climatechange climatecrisis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:74b01751d780/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:radio"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:rightwing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:republican"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:republicans"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:audio"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatechange"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatecrisis"/>
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</item>
<item rdf:about="https://thewalrus.ca/are-we-losing-the-war-on-cancer/">
    <title>Are We Losing the War on Cancer? | The Walrus</title>
    <dc:date>2023-09-21T16:47:16+00:00</dc:date>
    <link>https://thewalrus.ca/are-we-losing-the-war-on-cancer/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[A cancer groundshot would include an emphasis on prevention. Anti-smoking campaigns have resulted in fewer deaths from lung cancer. The HPV vaccine has the potential to eliminate cervical cancer. Screening has reduced deaths from colon cancer. In 2014, a huge research project conducted by Cancer Epidemiology and Prevention Research at Cancer Care Alberta, in partnership with the Canadian Cancer Society, brought together scientists from across the country to quantify the risks for cancer that we can control. The study, called ComPARe (Canadian Population Attributable Risk of Cancer), resulted in a series of reports published in 2019. The main conclusion: four out of ten cancers are preventable.

According to ComPARe’s analysis of 2015 data, smoking was linked to 17.5 percent of all cases in that year, mostly lung cancers, but also to cancers related to the liver, esophagus, pancreas, bladder, and kidneys. Physical inactivity was linked to almost 4.9 percent of all cancers. Ultraviolet radiation from the sun and tanning beds: 2.3 percent. Other risk factors include alcohol, sedentary behaviour, low fruit and vegetable consumption, red and processed meat. Emerging in the research is the increasing role that excess body weight will play in the future. Unless trends reverse, cancer deaths related to obesity will double to 5,600 deaths per year within the next twenty-five years. In all, the study identified more than twenty modifiable risk factors—behaviours or circumstances we can change—linked to thirty cancer types. The ComPARe findings suggest we can prevent 85 percent of lung cancers, 43 percent of colorectal cancers and 21.4 percent of female breast cancers.]]></description>
<dc:subject>cancer health biology research science disease statistics data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:9e312063f0ec/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:cancer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:health"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:disease"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://40thward.org/cirr-new-arrival-dashboard/">
    <title>Chicago's Committee on Immigrant and Refugee Rights' New Arrival Dashboard - 40th Ward of Chicago</title>
    <dc:date>2023-09-12T21:12:28+00:00</dc:date>
    <link>https://40thward.org/cirr-new-arrival-dashboard/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Since August 2022, Chicago has experienced an unprecedented and alarming surge of forced migration. Governor Abbott of Texas and other conservative leaders have sent, without any coordination, over 13,500 asylum seekers to Chicago in order to stress the city’s status as a ‘Sanctuary City.’

In a short period of time, forced migration from Texas has created a localized humanitarian crisis in Chicago. To quickly mobilize and respond to this crisis, Chicago has had to ‘build a plane while flying it,’ so to speak.]]></description>
<dc:subject>chicago statistics data reference resource resources</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:f0f06154da48/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chicago"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:resource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:resources"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/hot-or-not-analyzing-60-years-of-billboard-hot-100-data-21e1a02cf304">
    <title>Hot or Not: Analyzing 60 Years of Billboard Hot 100 Data | by Azhad Syed | Towards Data Science</title>
    <dc:date>2023-08-23T13:50:04+00:00</dc:date>
    <link>https://towardsdatascience.com/hot-or-not-analyzing-60-years-of-billboard-hot-100-data-21e1a02cf304</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Releasing music as a new artist in 2020 is a wildly different experience than in the 20th century. Some of the gate-keeping forces of those days have been eschewed by social media, YouTube and the internet as we known it. However, new-age gatekeepers like algorithms, playlists and digital advertising continue to impact the industry in unique ways. All in all, the effect of these forces seems to be shrinking the opportunities for new musicians, but I believe that as music revenues return to former glory, opportunities will increase for new artists to make it big.]]></description>
<dc:subject>music song songs analysis data bigdata history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:7597ee8e0cb1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:song"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:songs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/guoguo12/billboard-charts">
    <title>guoguo12/billboard-charts: Python API for downloading Billboard charts.</title>
    <dc:date>2023-08-23T13:45:07+00:00</dc:date>
    <link>https://github.com/guoguo12/billboard-charts</link>
    <dc:creator>msszczep</dc:creator><dc:subject>python code software programming data song songs bigdata music history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:95082979d9e9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:song"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:history"/>
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</item>
<item rdf:about="https://www.newyorker.com/science/elements/the-race-to-save-the-worlds-dna">
    <title>The Race to Save the World’s DNA | The New Yorker</title>
    <dc:date>2023-08-12T22:30:00+00:00</dc:date>
    <link>https://www.newyorker.com/science/elements/the-race-to-save-the-worlds-dna</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Osborn is part of a group of scientists who are mounting a kind of scientific salvage mission. It is known as the Earth BioGenome Project, or E.B.P., and its goal is to sequence a genome from every plant, animal, and fungus on the planet, as well as from many single-celled organisms, such as algae, retrieving the results of life’s grand experiment before it’s too late. “This is a completely wonderful and insane goal,” Hank Greely, a Stanford law professor who works with the E.B.P., told me. The effort, described by its organizers as a “moonshot for biology,” will likely cost billions of dollars—yet it does not currently have any direct funding, and depends instead on the volunteer work of scientists who do. Researchers will need to scour oceans, deserts, and rain forests to collect samples before species die out. And, as new species are discovered, the task of sequencing all of them will only grow. “]]></description>
<dc:subject>dna genomics bioinformation biology tech technology bigdata science research biotech data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:9533304a7018/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:genomics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bioinformation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:tech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:biotech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.nytimes.com/2023/08/05/science/space-asteroids-rubin-heliolinc3d.html">
    <title>Killer Asteroid-Spotting Software Could Help Save the World - The New York Times</title>
    <dc:date>2023-08-06T22:26:42+00:00</dc:date>
    <link>https://www.nytimes.com/2023/08/05/science/space-asteroids-rubin-heliolinc3d.html</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[The ability of technology to solve global problems is often overhyped. But when it comes to saving the world from asteroid strikes, lines of code may prove to be our savior.

Telescopes surveying the skies for errant space rocks are overseen by astronomers, but their systematic movements are driven by ones and zeros. With so much inky sky to peruse, scientists rely on algorithms to spot suspicious and speedy objects, including asteroids that may threaten Earth.

Conventional algorithms need four images, taken during a single night, of a moving object to confirm whether it’s a genuine space rock. But new software developed by researchers at the University of Washington cuts the number of necessary nightly observations by half, boosting the ability of observatories to quickly identify these lithic projectiles. And the program, named HelioLinc3D, has already found a near-Earth asteroid that older surveys had missed.]]></description>
<dc:subject>astronomy code programming software world inspiring inspiration useful data bigdata analysis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:1f0f76db2b91/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:analysis"/>
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</item>
<item rdf:about="https://digg.com/data-viz/link/highest-earning-songs-world-spotify-mapped-KFWm0IbndP">
    <title>The Highest Earning Songs In The World, Mapped | Digg</title>
    <dc:date>2023-08-04T14:08:10+00:00</dc:date>
    <link>https://digg.com/data-viz/link/highest-earning-songs-world-spotify-mapped-KFWm0IbndP</link>
    <dc:creator>msszczep</dc:creator><dc:subject>music song songs data reference bigdata world</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:03d4ee8db573/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:song"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:songs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:world"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://osf.io/8k23f/">
    <title>OSF | Pop Oligopoly</title>
    <dc:date>2023-07-14T13:49:03+00:00</dc:date>
    <link>https://osf.io/8k23f/</link>
    <dc:creator>msszczep</dc:creator><dc:subject>music song songs data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:0fe66a4f9f6b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:song"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:songs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.datawars.io/">
    <title>DataWars - Free Data Science Interactive Projects</title>
    <dc:date>2023-07-04T20:36:05+00:00</dc:date>
    <link>https://www.datawars.io/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Practice Data Science
with Real Life Projects

Tired of just watching videos? Our collection of +100 of projects will help you put your skills to a test.]]></description>
<dc:subject>data learning education python bigdata r code software programming project projects skills learn</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:cc12cc7fdee3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:project"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:projects"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:skills"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:learn"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://theness.com/neurologicablog/index.php/checkup-on-climate-change/">
    <title>Checkup on Climate Change - NeuroLogica Blog</title>
    <dc:date>2023-06-25T16:39:39+00:00</dc:date>
    <link>https://theness.com/neurologicablog/index.php/checkup-on-climate-change/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[There is good evidence that if you want to lose weight, you need to weigh yourself at least weekly. You need the constant feedback of the scale to adjust your behavior. This is a good general principle – having outcome feedback to measure the effect of what you are doing so you can make adjustments. This is the basic concept of many AI learning algorithms. Plug output into input and let it run.

Along these lines, a group of 50 scientists have made a website and report that tracks several useful measures of how the world is doing tackling climate change. They are doing this in part in preparation for the upcoming (and future) IPCC meetings. But it’s also a useful resource for journalists and the public. So – how are we doing? Brace yourself.]]></description>
<dc:subject>climate climatechange climatecrisis globalwarming globalheating data analysis future</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:4fab88b2e5e6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:globalwarming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:globalheating"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:future"/>
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</item>
<item rdf:about="https://climatechangetracker.org/igcc">
    <title>Indicators of Global Climate Change for Policy Makers</title>
    <dc:date>2023-06-25T16:38:31+00:00</dc:date>
    <link>https://climatechangetracker.org/igcc</link>
    <dc:creator>msszczep</dc:creator><dc:subject>global globalwarming data science climate climatechange climatecrisis statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:4ec14776a6f3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:global"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:globalwarming"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:statistics"/>
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</item>
<item rdf:about="https://github.com/jwolle1/jeopardy_clue_dataset">
    <title>jwolle1/jeopardy_clue_dataset: A dataset containing 402,000 Jeopardy! clues (1984–2022).</title>
    <dc:date>2023-06-17T15:45:20+00:00</dc:date>
    <link>https://github.com/jwolle1/jeopardy_clue_dataset</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[This dataset contains Jeopardy! clues from Season 1 through Season 38 (July 2022). It does not contain every clue that has appeared on the show. The data source prefers not to be credited.

There are 402,416 clues in total. They can be found in combined_season1-38.tsv. Note that the file is zipped. When uncompressed it is approx. 59 MB.]]></description>
<dc:subject>jeopardy data github datasets trivia reference useful</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:5fb3599ecfcf/</dc:identifier>
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</item>
<item rdf:about="https://venturebeat.com/ai/the-ai-feedback-loop-researchers-warn-of-model-collapse-as-ai-trains-on-ai-generated-content/">
    <title>The AI feedback loop: Researchers warn of 'model collapse' as AI trains on AI-generated content | VentureBeat</title>
    <dc:date>2023-06-15T19:29:08+00:00</dc:date>
    <link>https://venturebeat.com/ai/the-ai-feedback-loop-researchers-warn-of-model-collapse-as-ai-trains-on-ai-generated-content/</link>
    <dc:creator>msszczep</dc:creator><dc:subject>ai chatgpt machinelearning code software programming data statistics future problem problems research</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:d014761f92ba/</dc:identifier>
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</item>
<item rdf:about="https://theclimatebrink.substack.com/p/emissions-are-no-longer-following">
    <title>Emissions are no longer following the worst case scenario</title>
    <dc:date>2023-06-12T21:58:38+00:00</dc:date>
    <link>https://theclimatebrink.substack.com/p/emissions-are-no-longer-following</link>
    <dc:creator>msszczep</dc:creator><dc:subject>climate climatechange climatecrisis data analysis energy globalwarming globalheating blog future environment</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:88a0e611575b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climate"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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</item>
<item rdf:about="https://twitter.com/AssaadRazzouk/status/1667079204607868929">
    <title>Assaad Razzouk on Twitter: &quot;The renewables revolution is unfolding live, fast and furiously. &quot;It's exponential, global, and this decade&quot;: look at the data and do the math THREAD&quot; / Twitter</title>
    <dc:date>2023-06-09T16:31:37+00:00</dc:date>
    <link>https://twitter.com/AssaadRazzouk/status/1667079204607868929</link>
    <dc:creator>msszczep</dc:creator><dc:subject>energy future hope data math environment climate globalwarming globalheating climatechange climatecrisis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:4a302f10bb28/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:energy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:future"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:hope"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:environment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:globalwarming"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:climatecrisis"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gist.github.com/w0ng/c8fdec47649679cb064d04a3d8fa429b">
    <title>Massive list of trivia questions</title>
    <dc:date>2023-06-09T02:45:45+00:00</dc:date>
    <link>https://gist.github.com/w0ng/c8fdec47649679cb064d04a3d8fa429b</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[In JSON format, as a big Github gist.]]></description>
<dc:subject>trivia github data bigdata questions reference</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:92fc9b03f2ad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:trivia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:github"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:questions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:reference"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24">
    <title>Topic Modeling and Latent Dirichlet Allocation (LDA) in Python | by Susan Li | Towards Data Science</title>
    <dc:date>2023-06-05T16:29:23+00:00</dc:date>
    <link>https://towardsdatascience.com/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Topic modeling is a type of statistical modeling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic. It builds a topic per document model and words per topic model, modeled as Dirichlet distributions.]]></description>
<dc:subject>bigdata datamining statistics words model data python code software programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:b40028b2211d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:words"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:model"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:programming"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.dailykos.com/stories/2023/5/4/2167558/-COVID-was-the-fourth-leading-cause-of-US-deaths-in-2022-other-health-news-is-even-worse">
    <title>COVID was the fourth leading cause of US deaths in 2022 - other health news is even worse</title>
    <dc:date>2023-05-06T21:36:32+00:00</dc:date>
    <link>https://www.dailykos.com/stories/2023/5/4/2167558/-COVID-was-the-fourth-leading-cause-of-US-deaths-in-2022-other-health-news-is-even-worse</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[If money equaled health, Americans would be the healthiest, longest-living people on the planet. The US spends more on health as a percentage of GDP than any other industrial nation — by a lot. Americans, however, are not getting a bang for their healthcare buck.

The life expectancy of citizens of every country on that chart is longer than that of the US — usually by several years. America is even behind Cuba. Why?

I am not a healthcare maven. So I cannot answer with authority why Americans are generally more unhealthy and shorter-lived than people in all industrial and some undeveloped countries. But here are a few possibilities. First, let us consider where the money goes.]]></description>
<dc:subject>health healthcare usa coronavirus death statistics reference list lists data public</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:d5f870959799/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:health"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:healthcare"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:usa"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:coronavirus"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:death"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:reference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:list"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:lists"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:public"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://istheresewageinthechicagoriver.com/">
    <title>Is there sewage in the Chicago River?</title>
    <dc:date>2023-04-26T03:55:30+00:00</dc:date>
    <link>http://istheresewageinthechicagoriver.com/</link>
    <dc:creator>msszczep</dc:creator><dc:subject>chicago api data bigdata environment water</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:957a1a6d5b1c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chicago"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:environment"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:water"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.technologyreview.com/2023/04/19/1071789/openais-hunger-for-data-is-coming-back-to-bite-it/">
    <title>OpenAI’s hunger for data is coming back to bite it | MIT Technology Review</title>
    <dc:date>2023-04-21T11:34:53+00:00</dc:date>
    <link>https://www.technologyreview.com/2023/04/19/1071789/openais-hunger-for-data-is-coming-back-to-bite-it/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[OpenAI has just over a week to comply with European data protection laws following a temporary ban in Italy and a slew of investigations in other EU countries. If it fails, it could face hefty fines, be forced to delete data, or even be banned. 

But experts have told MIT Technology Review that it will be next to impossible for OpenAI to comply with the rules. That’s because of the way data used to train its AI models has been collected: by hoovering up content off the internet. ]]></description>
<dc:subject>openai chatgpt data privacy policy europe government law legal ai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:62c8469294b3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:openai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chatgpt"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:policy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:europe"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:government"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:law"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:ai"/>
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</item>
<item rdf:about="https://ourworldindata.org/grapher/people-living-in-democracies-autocracies?country=~OWID_WRL">
    <title>People living in democracies and autocracies, World</title>
    <dc:date>2023-03-25T18:00:47+00:00</dc:date>
    <link>https://ourworldindata.org/grapher/people-living-in-democracies-autocracies?country=~OWID_WRL</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Political regimes are based on the criteria of the classification by Lührmann et al. (2018) and the assessment by V-Dem’s experts.

]]></description>
<dc:subject>world population government democracy data graphics chart bigdata demographics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:703d71e9419e/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:population"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:government"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:democracy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:graphics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:chart"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:demographics"/>
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</item>
<item rdf:about="https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=5120&amp;context=gc_etds">
    <title>A Data Exploration of Jeopardy! from 1984 to the Present</title>
    <dc:date>2023-02-16T04:50:13+00:00</dc:date>
    <link>https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=5120&amp;context=gc_etds</link>
    <dc:creator>msszczep</dc:creator><dc:subject>jeopardy trivia data analysis statistics math mathematics bigdata research paper</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:eacdaf4411a5/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:trivia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:bigdata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:research"/>
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</item>
<item rdf:about="https://jaykmody.com/blog/gpt-from-scratch/">
    <title>GPT in 60 Lines of NumPy | Jay Mody</title>
    <dc:date>2023-02-10T17:05:35+00:00</dc:date>
    <link>https://jaykmody.com/blog/gpt-from-scratch/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text.]]></description>
<dc:subject>python ai machinelearning intelligence text numbers data bigdata code software programming</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:36230f46d210/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:intelligence"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:numbers"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:code"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:software"/>
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</item>
<item rdf:about="https://informationisbeautiful.net/visualizations/what-is-the-most-successful-hollywood-movie-of-all-time/">
    <title>What is The Most Successful Hollywood Movie of All Time? — Information is Beautiful</title>
    <dc:date>2023-02-07T23:55:03+00:00</dc:date>
    <link>https://informationisbeautiful.net/visualizations/what-is-the-most-successful-hollywood-movie-of-all-time/</link>
    <dc:creator>msszczep</dc:creator><dc:subject>data visualization movies cinema movie film films history analysis infographic infographics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:5a3086274977/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:movies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:cinema"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:movie"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:film"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:films"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:history"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:infographic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:infographics"/>
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</item>
<item rdf:about="https://blog.opensyllabus.org/about-the-open-syllabus-project/">
    <title>The Open Syllabus Project</title>
    <dc:date>2023-01-26T13:41:37+00:00</dc:date>
    <link>https://blog.opensyllabus.org/about-the-open-syllabus-project/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[Open Syllabus is a non-profit research organization that collects and analyzes millions of syllabi to support novel teaching and learning applications.  Open Syllabus helps instructors develop classes, libraries manage collections, and presses develop books.  It supports students and lifelong learners in their exploration of topics and fields.  It creates incentives for faculty to improve teaching materials and to use open licenses.  It supports work on aligning higher education with job market needs and on making student mobility easier.  It also challenges faculty and universities to work together to steward this important data resource.

Open Syllabus currently has a corpus of nine million English-language syllabi from 140 countries.  It uses machine learning and other techniques to extract citations, dates, fields, and other metadata from these documents.  The resulting data is made freely available via the Syllabus Explorer and for academic research. 

The project was founded at The American Assembly, a public policy institute associated with Columbia University. It has been independent since 2019.]]></description>
<dc:subject>college university school book books education data database bigdata open opensource analysis</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:6d1728a97eca/</dc:identifier>
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</item>
<item rdf:about="https://pudding.cool/2023/01/lit-canon/">
    <title>What literature do we study from the 1990s?</title>
    <dc:date>2023-01-26T04:07:38+00:00</dc:date>
    <link>https://pudding.cool/2023/01/lit-canon/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[J. D. Porter: "We do not merely study what people read; people read what we study."]]></description>
<dc:subject>lit literature books book history data database academic academia college university education</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:f01d15aaad64/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:academic"/>
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</item>
<item rdf:about="https://www.thisiscolossal.com/2023/01/mars-pastel-drawing/">
    <title>A Scientific Paint-By-Number Pastel Drawing Was Our First Closeup Image of Mars — Colossal</title>
    <dc:date>2023-01-19T14:34:55+00:00</dc:date>
    <link>https://www.thisiscolossal.com/2023/01/mars-pastel-drawing/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[On July 15 [1965], when NASA’s Mariner 4 probe flew within 6,118 miles of Mars as it passed the planet, it was big news, but when the image data was transmitted back to Earth, scientists didn’t have the technology to quickly render a photograph that could be televised. Taking a queue from a popular mid-century pastime, the very first representation of another planet viewed from a vantage point in space was a data-driven paint-by-number drawing.]]></description>
<dc:subject>science visualization data space nasa photography photo art photos</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:394555b4b092/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:data"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:nasa"/>
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</item>
<item rdf:about="https://j-ometry.com/">
    <title>J!ometry: Jeopardy! Data Visualizations</title>
    <dc:date>2022-11-03T21:24:51+00:00</dc:date>
    <link>https://j-ometry.com/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[J!ometry is built and maintained by 2021 4-day champion and 2022 TOC qualifier John Focht. The origin story is that I realized that the published box score PNGs would be difficult to work with in the long run, and so I wanted to make sure there was a spreadsheet or CSV or something that research could be done with, once there was enough data. Then it turned out that I wanted to do some of that research and talk about it. It became useful to put it all in one stable place and semi-standardize the things I found most interesting. And then it also became part of my TOC prep.]]></description>
<dc:subject>jeopardy data bigdata database datamining trivia visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:5848f5baf1b4/</dc:identifier>
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<item rdf:about="https://www.vox.com/recode/2022/9/21/23363242/media-landscape-owner-amazon-apple-netflix-comcast-warner-discovery-peter-kafka-column">
    <title>This map shows which media company owns your favorite show - Vox</title>
    <dc:date>2022-11-01T01:53:25+00:00</dc:date>
    <link>https://www.vox.com/recode/2022/9/21/23363242/media-landscape-owner-amazon-apple-netflix-comcast-warner-discovery-peter-kafka-column</link>
    <dc:creator>msszczep</dc:creator><dc:subject>media infographic infographics visualization data capitalism television tv movie movies film films</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:dd317cbfe621/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:msszczep/t:media"/>
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</item>
<item rdf:about="https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-people-additional-dose-totalpop">
    <title>CDC COVID Data Tracker: Vaccinations in the US</title>
    <dc:date>2022-10-15T13:06:41+00:00</dc:date>
    <link>https://covid.cdc.gov/covid-data-tracker/#vaccinations_vacc-people-additional-dose-totalpop</link>
    <dc:creator>msszczep</dc:creator><dc:subject>coronavirus statistics usa vaccine data bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:6acda89c64a4/</dc:identifier>
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</item>
<item rdf:about="http://crr.ugent.be/programs-data/subtitle-frequencies/subtlex-pl">
    <title>crr » SUBTLEX-PL</title>
    <dc:date>2022-09-29T04:39:19+00:00</dc:date>
    <link>http://crr.ugent.be/programs-data/subtitle-frequencies/subtlex-pl</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[SUBTLEX-PL is a database of Polish word frequencies based on 101 million words from film and television subtitles.]]></description>
<dc:subject>polish data word words language useful bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:2bee8e938334/</dc:identifier>
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</item>
<item rdf:about="https://www.solutionsjournalism.org/">
    <title>Solutions Journalism Network</title>
    <dc:date>2022-09-18T21:25:04+00:00</dc:date>
    <link>https://www.solutionsjournalism.org/</link>
    <dc:creator>msszczep</dc:creator><description><![CDATA[The Solutions Journalism Network is leading a global shift in journalism, focused on what the news misses most often: how people are trying to solve problems and what we can learn from their successes or failures.]]></description>
<dc:subject>media journalism news education reference data database</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:msszczep/b:6582b28364c7/</dc:identifier>
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</item>
<item rdf:about="https://www.vice.com/en/article/qjk3wb/facebook-engineers-admit-they-dont-know-what-they-do-with-your-data">
    <title>Facebook Engineers Admit They Don’t Know What They Do With Your Data</title>
    <dc:date>2022-09-09T12:28:28+00:00</dc:date>
    <link>https://www.vice.com/en/article/qjk3wb/facebook-engineers-admit-they-dont-know-what-they-do-with-your-data</link>
    <dc:creator>msszczep</dc:creator><dc:subject>facebook data tech bigdata technology engineering</dc:subject>
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<dc:identifier>https://pinboard.in/u:msszczep/b:3709be8fcc99/</dc:identifier>
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