<?xml version="1.0" encoding="UTF-8"?>
 <rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://web.resource.org/cc/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:admin="http://webns.net/mvcb/">
  <channel rdf:about="http://pinboard.in">
    <title>Pinboard (cshalizi)</title>
    <link>https://pinboard.in/u:cshalizi/public/</link>
    <description>recent bookmarks from cshalizi</description>
    <items>
      <rdf:Seq>	<rdf:li rdf:resource="https://www.cclear.cc/2022"/>
	<rdf:li rdf:resource="http://danlarremore.com/sinm2019/"/>
	<rdf:li rdf:resource="https://www.cmu.edu/acic2018/"/>
	<rdf:li rdf:resource="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2016-17/01-27-17_paolo/paolofest.html"/>
	<rdf:li rdf:resource="https://icerm.brown.edu/topical_workshops/tw16-7-pp/"/>
	<rdf:li rdf:resource="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2015-16/10-02-15_scalemodel/scalemodel.html"/>
	<rdf:li rdf:resource="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2014-15/04-10-15_diagrams/diagrams-cfp.html"/>
	<rdf:li rdf:resource="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2014-15/2-7-15_emergence/emergence.html"/>
	<rdf:li rdf:resource="http://sites.lsa.umich.edu/collectiveintelligence/"/>
	<rdf:li rdf:resource="http://www.samsi.info/workshop/2013-knowledge-extraction-comparison-complex-computational-models-massive-data-sets-july-29"/>
	<rdf:li rdf:resource="http://people.clarkson.edu/~ebollt/Box/BTV_Workshop.html"/>
	<rdf:li rdf:resource="http://projects.iq.harvard.edu/acic/schedule"/>
	<rdf:li rdf:resource="http://www.birs.ca/events/2014/5-day-workshops/14w5079"/>
	<rdf:li rdf:resource="http://simons.berkeley.edu/program_bigdata2013.html"/>
	<rdf:li rdf:resource="http://snap.stanford.edu/social2012/#posters"/>
	<rdf:li rdf:resource="http://www.eurandom.nl/events/workshops/2013/Stat_Comp_Net/"/>
	<rdf:li rdf:resource="http://www.espci.fr/usr/fk/LESHOUCHES2013/home.htm"/>
	<rdf:li rdf:resource="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2012-13/04-20-13_social_org/04-20-13_social_org.html"/>
	<rdf:li rdf:resource="http://www.cs.cmu.edu/~apparikh/nips2012spectral/main.html"/>
	<rdf:li rdf:resource="https://sites.google.com/site/nips2012modernnonparametric/"/>
	<rdf:li rdf:resource="http://www.informs.org/Community/Conferences/ICS2013"/>
	<rdf:li rdf:resource="http://www.prokopenko.net/gso5.html"/>
	<rdf:li rdf:resource="http://www.sustain.bris.ac.uk/ws-causality/"/>
	<rdf:li rdf:resource="http://ergodicity.net/2011/10/30/banff-blog/"/>
	<rdf:li rdf:resource="http://www.flickr.com/photos/devinf/sets/72157626779839394/"/>
	<rdf:li rdf:resource="http://www.hss.cmu.edu/departments/sds/ddmlab/workshop/"/>
	<rdf:li rdf:resource="http://www.modelingepistemology.pitt.edu/"/>
	<rdf:li rdf:resource="http://www.aistats.org/cfp.php"/>
	<rdf:li rdf:resource="http://www.rss.org.uk/main.asp?group=&amp;page=1332&amp;event=1186&amp;month=&amp;year=&amp;date="/>
	<rdf:li rdf:resource="http://morrislab.med.utoronto.ca/~anna/networksnips2010/"/>
	<rdf:li rdf:resource="http://legacy.samsi.info/workshops/2010cn-opening201008.shtml"/>
	<rdf:li rdf:resource="http://www.sustain.bris.ac.uk/ws-stochapprox/"/>
	<rdf:li rdf:resource="http://event.cwi.nl/uai2010/schedule.html"/>
	<rdf:li rdf:resource="http://scifoo10.wiki.oreilly.com/wiki/index.php/Sci_Foo_Campers"/>
	<rdf:li rdf:resource="http://ise.tamu.edu/SOSWorkshop/"/>
	<rdf:li rdf:resource="http://cslgreenhouse.csl.illinois.edu/allerton/"/>
	<rdf:li rdf:resource="http://www.phil.vt.edu/dmayo/conference_2010/index.htm"/>
	<rdf:li rdf:resource="http://event.cwi.nl/uai2010/index.html"/>
	<rdf:li rdf:resource="http://www.aistats.org/"/>
	<rdf:li rdf:resource="http://sand.stat.cmu.edu/"/>
	<rdf:li rdf:resource="http://icwsm.org/2010/index.shtml"/>
	<rdf:li rdf:resource="https://wpweb2.tepper.cmu.edu/evite/NetworkScience/NetworkSciHome.html"/>
	<rdf:li rdf:resource="http://www.ipam.ucla.edu/programs/hum2010/"/>
	<rdf:li rdf:resource="http://www.ipam.ucla.edu/programs/onr2009/"/>
	<rdf:li rdf:resource="http://www.samsi.info/programs/2010aoodprogram.shtml"/>
	<rdf:li rdf:resource="http://www.milburnhotel.com/"/>
	<rdf:li rdf:resource="http://bayesml1.stat.cmu.edu/"/>
	<rdf:li rdf:resource="http://fitelson.org/few/schedule.html"/>
	<rdf:li rdf:resource="http://www.samsi.info/workshops/2009stodyn-opening200908.shtml"/>
	<rdf:li rdf:resource="http://www.cse.ohio-state.edu/mlss09/"/>
	<rdf:li rdf:resource="http://www.subtletechnologies.com/"/>
	<rdf:li rdf:resource="http://stat.sfu.ca/~dac5/workshop09/Welcome.html"/>
	<rdf:li rdf:resource="http://www.samsi.info/workshops/2008Blackwell-Tapia.shtml"/>
	<rdf:li rdf:resource="http://michaelnielsen.org/blog/?p=301"/>
      </rdf:Seq>
    </items>
  </channel><item rdf:about="https://www.cclear.cc/2022">
    <title>CLeaR</title>
    <dc:date>2021-07-22T19:14:47+00:00</dc:date>
    <link>https://www.cclear.cc/2022</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Causality is a fundamental notion in science and engineering. In the past few decades, some of the most influential developments in the study of causal discovery, causal inference, and the causal treatment of machine learning have resulted from cross-disciplinary efforts. In particular, a number of machine learning and statistical analysis techniques have been developed to tackle classical causal discovery and inference problems. On the other hand, the causal view has been shown to be able to facilitate formulating, understanding, and tackling a number of hard machine learning problems in transfer learning, reinforcement learning, and deep learning.
"We invite submissions to the 1st conference on Causal Learning and Reasoning (CLeaR), and welcome paper submissions that describe new theory, methodology, and/or applications relevant to any aspect of causal learning and reasoning in the fields of artificial intelligence and statistics. Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential for addressing problems at the intersection of causality and machine learning."

--- Well, so much for my "never area chair" pledge.]]></description>
<dc:subject>causal_inference causal_discovery conferences have_blogged</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:35e9a76da2d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_discovery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:have_blogged"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://danlarremore.com/sinm2019/">
    <title>Statistical Inference for Network Models - Home</title>
    <dc:date>2019-03-08T15:52:08+00:00</dc:date>
    <link>http://danlarremore.com/sinm2019/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The Statistical Inference for Network Models symposium is a satellite of the NetSci2019 conference, to be held May 27, 2019 in Burlington, VT, USA. The exact location of the satellite is the Maple Room of the UVM Davis Center. It will feature a mix of invited and contributed talks, which you can view on the Symposium Schedule. All attendees of this symposium must be registered for the NetSci2019 conference in order to attend. Please note the important dates and deadlines on the right."


--- Memo to self: make sure NS submits his abstract on time!]]></description>
<dc:subject>conferences kith_and_kin network_data_analysis statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:cbbe989e2ea8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:kith_and_kin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.cmu.edu/acic2018/">
    <title>Atlantic Causal Inference Conference 2018 - Atlantic Causal Inference Conference - 2018 - Carnegie Mellon University</title>
    <dc:date>2017-11-08T16:53:56+00:00</dc:date>
    <link>https://www.cmu.edu/acic2018/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Here, in May.]]></description>
<dc:subject>causal_inference conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:fd56d894f4d7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2016-17/01-27-17_paolo/paolofest.html">
    <title>Center for Philosophy of Science ::: other conferences ::: Hermes and the Telescope: Author Meets Critics</title>
    <dc:date>2016-12-07T14:39:50+00:00</dc:date>
    <link>http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2016-17/01-27-17_paolo/paolofest.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["A workshop on Paolo Palmieri’s just published book, Hermes and the Telescope: In the Crucible of Galileo's Life-World.
"The life and work of Galileo have stirred debates and controversies in history and philosophy of science concerning the origin and motivation of the emergence of modern science. Paolo Palmieri’s new book calls into question the positivist myth of Galileo, the founder of modern science, and interrogates the historiography that has shaped the myth since the historic publication of the monumental edition of Galileo’s works at the turn of the twentieth century.
"The book highlights the entanglement of Galileo’s natural philosophy with his private unorthodox convictions about Christian theology, Biblical hermeneutic, sexuality, and the hidden traditions of Italian heretics and libertines. Furthermore, the book articulates the philosophical, pedagogical and political implications of this new reading of one of the founding fathers of modernity for both the sciences and the humanities."]]></description>
<dc:subject>conferences books:noted history_of_science scientific_revolution lives_of_the_scientists galilei.galileo in_NB</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:c87dd8b55af1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:books:noted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:history_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:scientific_revolution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:lives_of_the_scientists"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:galilei.galileo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:in_NB"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://icerm.brown.edu/topical_workshops/tw16-7-pp/">
    <title>ICERM: Topical Workshop on Predictive Policing</title>
    <dc:date>2016-06-21T21:07:17+00:00</dc:date>
    <link>https://icerm.brown.edu/topical_workshops/tw16-7-pp/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["This workshop is a one-week program aimed at 20-25 researchers interested in the opportunity to shape the future of research on the mathematics of crime. Small teams will come together to work on real problems with real crime and policing data provided by the Providence Police Department. Five teams will be assembled, each with a technical advisor who will share their expertise and serve as an anchor point and leader for hands-on research that will take place over the course of the week. This will be a truly hands-on experience in which groups will spend time brainstorming mathematical methods and models to approach the problem at hand, analyzing data provided, and creating code to implement ideas as necessary. There will also be research presentations from the technical advisors throughout the week, as well as closing presentations by each team to present their ideas and progress at the end of the workshop. We fully anticipate that lasting collaborations will be formed, and that work on the projects will continue after the workshop ends."]]></description>
<dc:subject>conferences data_mining prediction crime police_and_policing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:d93bac992a56/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:data_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:crime"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:police_and_policing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2015-16/10-02-15_scalemodel/scalemodel.html">
    <title>Center for Philosophy of Science ::: Effective Theories, Mixed Scale Modeling, and Emergence :::</title>
    <dc:date>2015-05-26T18:40:30+00:00</dc:date>
    <link>http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2015-16/10-02-15_scalemodel/scalemodel.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Calling for abstracts on multiscale models, effective theories, and emergence with a main focus on relations between theories and models at different scales. 
"This will be an open call conference bringing together philosophers interested in modeling, effective theories, emergence and reduction with scientists and applied mathematicians working on analytic and computational multiscale techniques.
"How can data be extracted from observations of systems at a variety of spatial and temporal scales and then be combined to understand phenomena without any attempt to reduce the theories or models appropriate at some scale to those appropriate at another? Many such "mixed-level" explanations are, it seems, essential to successful scientific investigation. Multiscale modeling is playing an increasing role in many areas of science, including climate science, materials science, and developmental biology. This work suggests that interesting methods have by and large been overlooked by philosophers who primarily treat modeling (and intertheory relations) as restricted to two (spatial) scales---the "macroscopic" and the "microscopic." One aim of the conference is to consider the implication of recent work on the nature of multiscale modeling for our understanding of material behaviors, effective theories, and the kind of autonomy that often accompanies claims about emergence."

--- Goldenfeld and Kadanoff as speakers...]]></description>
<dc:subject>conferences philosophy_of_science renormalization macro_from_micro physics emergence</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e4cd8728a8a7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:renormalization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:macro_from_micro"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:physics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:emergence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2014-15/04-10-15_diagrams/diagrams-cfp.html">
    <title>Diagrams as Vehicles of Scientific Reasoning</title>
    <dc:date>2014-12-01T16:57:40+00:00</dc:date>
    <link>http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2014-15/04-10-15_diagrams/diagrams-cfp.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Diagrams are ubiquitous in scientific talks, papers, and textbooks. Although diagrams are clearly a tool for communicating experimental procedures, empirical results, relations between causal factors, and mechanistic explanations, they are also key vehicles of reasoning—diagrams provide essential tools for exploring variations in experimental design, identifying new explanatory relations in experimental data, and advancing and revising mechanistic models. They also play a crucial role in the design of computational models that show how an identified mechanism would behave under a variety of conditions (including alterations to the environment and to the mechanism).
"This interdisciplinary workshop seeks to expand our understanding of the ways in which diagrams contribute to science through analysis of diagrams used in actual scientific research and theoretical accounts and experimental investigations of the ways scientists construct or reason with diagrams. We invite papers from both philosophers and historians of science, cognitive scientists who study diagrams, and scientists who use them. Hotel accommodations for three nights will be provided for those whose papers are accepted, but we are not able to cover travel costs. "]]></description>
<dc:subject>conferences visual_display_of_quantitative_information cognition natural_born_cyborgs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:3858f513eb3f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:visual_display_of_quantitative_information"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:cognition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:natural_born_cyborgs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2014-15/2-7-15_emergence/emergence.html">
    <title>Multiscale Modeling and Emergence</title>
    <dc:date>2014-12-01T16:55:42+00:00</dc:date>
    <link>http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2014-15/2-7-15_emergence/emergence.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["There has been much interest of late in issues of emergence and reduction in the philosophy of science literature. The battle line is largely drawn between reductive "bottom-up" modeling and "top-down" modeling employing so-called "phenomenological" theories. This workshop aims to examine the nature and plausibility of structuring the debate in this way. We bring physicists and mathematicians together with philosophers interested in modeling systems across scales. Multiscale models and beginning to succeed in showing how to upscale from statistical/atomistic models to continuum/hydrodynamic models. A proper understanding of the mathematics involved in such multiscale modeling should show how overly simplified the philosophical debates have been and should refocus the debate on questions of explaining the (relative) autonomy of upper scale models and theories."]]></description>
<dc:subject>emergence conferences macro_from_micro philosophy_of_science pittsburgh</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:dbf121310712/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:emergence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:macro_from_micro"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:pittsburgh"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sites.lsa.umich.edu/collectiveintelligence/">
    <title>Collective Intelligence 2015 | May 31 – June 2, 2015 @ the Marriott Santa Clara in Santa Clara, CA</title>
    <dc:date>2014-11-05T18:23:28+00:00</dc:date>
    <link>http://sites.lsa.umich.edu/collectiveintelligence/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences social_life_of_the_mind collective_cognition</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:6111c0b9cbd6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_life_of_the_mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:collective_cognition"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.samsi.info/workshop/2013-knowledge-extraction-comparison-complex-computational-models-massive-data-sets-july-29">
    <title>2013: Knowledge Extraction via Comparison of Complex Computational Models to Massive Data Sets: July 29-31, 2013 | Statistical and Applied Mathematical Sciences Institute (SAMSI)</title>
    <dc:date>2013-06-19T02:45:53+00:00</dc:date>
    <link>http://www.samsi.info/workshop/2013-knowledge-extraction-comparison-complex-computational-models-massive-data-sets-july-29</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Advances in computation have significantly improved our abilities to model complex processes in science, engineering and the social sciences. In parallel, experimental observations have grown in size and complexity as well. Gaining knowledge and insight from these efforts requires rigorous comparison of models and data. The ever increasing sophistication of the models along with the size and detail of the heterogeneous data sets demands commensurate advances in the processes and practices of data analysis.
"This workshop, co-sponsored by SAMSI and the NSF funded MADAI collaboration (Models and Data Analysis Initiative, http://madai.us) is devoted to applying and developing new techniques for the statistical analysis of massively complex models and the application of cutting edge visualization tools to drive data exploration. Currently, MADAI's analysis infrastructure and work- flows are being designed to address scientific challenges in Heavy-Ion Physics, Cosmology and Climate Sciences. Once fully developed these should be broadly extensible to other domains.
"The purpose of the workshop is to introduce a broader base of domain scientists in the aforementioned communities to statistical and visualization tools that facilitate knowledge extraction via complex model to data comparisons. The workshop will also provide opportunities for the Statistical Science community to learn about recent developments in complex modeling and computer experiments as well as engage in new collaborative ventures. Two half-day hands-on tutorials will showcase a modular visualization platform (based on Paraview) that allows for advanced visualization of complex model dynamics as well as statistical analysis tools. The statistical tools are based on Gaussian process surrogate models for rapid exploration of a model's parameter space."

- Can't attend, but looks interesting.]]></description>
<dc:subject>conferences computational_statistics data_analysis simulation nonparametrics visual_display_of_quantitative_information</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:fc88e04dfe27/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:computational_statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:nonparametrics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:visual_display_of_quantitative_information"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://people.clarkson.edu/~ebollt/Box/BTV_Workshop.html">
    <title>Information in Dynamical Systems and Complex Systems July 18-19, 2013</title>
    <dc:date>2013-03-12T02:58:15+00:00</dc:date>
    <link>http://people.clarkson.edu/~ebollt/Box/BTV_Workshop.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Here we offer a workshop of leading members of the research community in the area of ``Information in Dynamical Systems and Complex Systems" toward future planning and identifying interesting open directions in this general area of dynamical systems. We wish to discuss how information theoretic perspective impacts dynamical systems theory, and how this leads to useful understanding in scientific fields, and even toward engineering applications."

- I can't go, but I wish I could.]]></description>
<dc:subject>conferences information_theory dynamical_systems</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e30d93a5f056/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:information_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:dynamical_systems"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://projects.iq.harvard.edu/acic/schedule">
    <title>Schedule | acic</title>
    <dc:date>2013-02-28T22:17:06+00:00</dc:date>
    <link>http://projects.iq.harvard.edu/acic/schedule</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences causal_inference statistics gigs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b134b9891ab9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.birs.ca/events/2014/5-day-workshops/14w5079">
    <title>2014 5 Day Workshop: Statistics and Nonlinear Dynamics in Biology and Medicine | Banff International Research Station</title>
    <dc:date>2013-02-13T07:47:26+00:00</dc:date>
    <link>http://www.birs.ca/events/2014/5-day-workshops/14w5079</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences dynamical_systems time_series statistical_inference_for_stochastic_processes statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:abfd2053ad28/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:dynamical_systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:time_series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistical_inference_for_stochastic_processes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://simons.berkeley.edu/program_bigdata2013.html">
    <title>Simons Institute for the Theory of Computing - Programs | Fall 2013: Theoretical Foundations of Big Data Analysis</title>
    <dc:date>2012-12-29T15:56:18+00:00</dc:date>
    <link>http://simons.berkeley.edu/program_bigdata2013.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["We live in an era of "Big Data": science, engineering and technology are producing increasingly large data streams, with petabyte and exabyte scales becoming increasingly common. In scientific fields such data arise in part because tests of standard theories increasingly focus on extreme physical conditions (cf., particle physics) and in part because science has become increasingly exploratory (cf., astronomy and genomics). In commerce, massive data arise because so much of human activity is now online, and because business models aim to provide services that are increasingly personalized.
"The Big Data phenomenon presents opportunities and perils. On the optimistic side of the coin, massive data may amplify the inferential power of algorithms that have been shown to be successful on modest-sized data sets. The challenge is to develop the theoretical principles needed to scale inference and learning algorithms to massive, even arbitrary, scale. On the pessimistic side of the coin, massive data may amplify the error rates that are part and parcel of any inferential algorithm. The challenge is to control such errors even in the face of the heterogeneity and uncontrolled sampling processes underlying many massive data sets. Another major issue is that Big Data problems often come with time constraints, where a high-quality answer that is obtained slowly can be less useful than a medium-quality answer that is obtained quickly. Overall we have a problem in which the classical resources of the theory of computation—e.g., time, space and energy—trade off in complex ways with the data resource.
"Various aspects of this general problem are being faced in the theory of computation, statistics and related disciplines—where topics such as dimension reduction, distributed optimization, Monte Carlo sampling, compressed sampling, low-rank matrix factorization, streaming and hardness of approximation are of clear relevance—but the general problem remains untackled. This program will bring together experts from these areas with the aim of laying the theoretical foundations of the emerging field of Big Data."]]></description>
<dc:subject>machine_learning statistics computational_complexity approximation conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:676245d65f53/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:computational_complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:approximation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://snap.stanford.edu/social2012/#posters">
    <title>Social Network and Social Media Analysis: Methods, Models and Applications</title>
    <dc:date>2012-12-16T19:22:41+00:00</dc:date>
    <link>http://snap.stanford.edu/social2012/#posters</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I didn't go, though my students and collaborators who did had only good things to say.]]></description>
<dc:subject>network_data_analysis social_networks statistics machine_learning conferences track_down_references</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:70552d74ea07/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:track_down_references"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.eurandom.nl/events/workshops/2013/Stat_Comp_Net/">
    <title>Statistics for Complex Networks</title>
    <dc:date>2012-12-12T16:13:24+00:00</dc:date>
    <link>http://www.eurandom.nl/events/workshops/2013/Stat_Comp_Net/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Some very good people speaking; I won't be going.]]></description>
<dc:subject>networks network_data_analysis statistics conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:85ace86fe7ad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.espci.fr/usr/fk/LESHOUCHES2013/home.htm">
    <title>Les Houches Meeting: Statistical physics, Optimization, Inference and Message-Passing algorithms</title>
    <dc:date>2012-11-25T13:40:35+00:00</dc:date>
    <link>http://www.espci.fr/usr/fk/LESHOUCHES2013/home.htm</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["In the last decade, there have been an increasing convergence of interest and methods between theoretical physics and fields as diverse as probability, machine learning, optimization and compressed sensing. In particular, many theoretical and applied works in statistical physics and computer science have relied on the use of message passing algorithms and their connection to statistical physics of glasses and spin glasses. The aim of this school, especially adapted to PhD students, post-docs, and young researchers, is to present the background necessary for entering this fast developing field."]]></description>
<dc:subject>conferences statistical_mechanics computational_statistics optimization theoretical_computer_science kith_and_kin</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:c5e353406b9b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistical_mechanics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:computational_statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:theoretical_computer_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:kith_and_kin"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2012-13/04-20-13_social_org/04-20-13_social_org.html">
    <title>Choosing the Future of Science: The Social Organization of Scientific Inquiry</title>
    <dc:date>2012-11-08T20:48:25+00:00</dc:date>
    <link>http://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2012-13/04-20-13_social_org/04-20-13_social_org.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The operation and achievements of the present social organization of science are well-studied. Less attention has been given to alternative forms of organization and their consequences. This conference will examine past, present, and especially novel forms of social organization of science and their consequences, using methods from philosophy, history, psychology, economics, sociology, and science studies.
"The conference will follow Philip Kitcher’s Salmon Lecture at the University of Pittsburgh (tentatively entitled “Collective Inquiry”) on 19 April. Additional invited talks will be given by David Guston (Co-Director, Consortium for Science, Policy & Outcomes / Arizona State University), Rainer Hegselmann (Universitat Bayreuth), Miriam Solomon (Temple University), Kyle Stanford (UC Irvine / Center for Philosophy of Science, University of Pittsburgh), Michael Strevens (New York University), Michael Weisberg (University of Pennsylvania), and Kevin Zollman (Carnegie Mellon University)."]]></description>
<dc:subject>social_life_of_the_mind sociology_of_science philosophy_of_science conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:2cba3d6f6afe/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_life_of_the_mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:sociology_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.cmu.edu/~apparikh/nips2012spectral/main.html">
    <title>NIPS Spectral Learning Workshop 2012</title>
    <dc:date>2012-08-27T18:57:25+00:00</dc:date>
    <link>http://www.cs.cmu.edu/~apparikh/nips2012spectral/main.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Recently, linear algebra techniques have given a fundamentally different perspective for learning and inference in latent variable models. Exploiting the underlying spectral properties of the model parameters has led to fast, provably consistent methods for structure and parameter learning that stand in contrast to previous approaches, such as Expectation Maximization, which suffer from local optima and slow convergence. Furthermore, these techniques have given insight into the nature of latent variable models.
"In this workshop, via a mix of contributed/invited talks, posters, and discussion, we seek to explore the theoretical and applied aspects of spectral methods including the following major themes:
"How can spectral techniques help us develop fast and local minima free solutions to real world problems involving latent variables in natural language processing, dynamical systems, computer vision etc. where existing methods such as Expectation Maximization are unsatisfactory? 
"How can these approaches lead to a deeper understanding and interpretation of the complexity of latent variable models? "]]></description>
<dc:subject>conferences machine_learning spectral_methods inference_to_latent_objects statistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:5e6995fe4417/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:spectral_methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:inference_to_latent_objects"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://sites.google.com/site/nips2012modernnonparametric/">
    <title>Modern Nonparametric Methods in Machine Learning</title>
    <dc:date>2012-08-21T02:02:10+00:00</dc:date>
    <link>https://sites.google.com/site/nips2012modernnonparametric/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Workshop at NIPS 2012.  Paper deadline Sept. 15.  Anything we can pull together by then?]]></description>
<dc:subject>conferences machine_learning statistics nonparametrics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:03a8066d53fc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:nonparametrics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.informs.org/Community/Conferences/ICS2013">
    <title>ICS2013 / Conferences / Community / IOL Home - INFORMS.org</title>
    <dc:date>2012-06-15T18:41:03+00:00</dc:date>
    <link>http://www.informs.org/Community/Conferences/ICS2013</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>gigs conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:c4d958c9eb6c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.prokopenko.net/gso5.html">
    <title>GSO-2012</title>
    <dc:date>2012-04-26T12:23:32+00:00</dc:date>
    <link>http://www.prokopenko.net/gso5.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The goal of Guided Self-Organization (GSO) is to leverage the strengths of self-organization while still being able to direct the outcome of the self-organizing process. GSO typically has the following features: (i) an increase in organization (structure and/or functionality) over some time; (ii) the local interactions are not explicitly guided by any external agent; (iii) task-independent objectives are combined with task-dependent constraints.
"What is common to many examples of GSO is the characterization of a system-environment loop (e.g., sensorimotor or perception-action loop) in information-theoretic terms. For instance, given an agent's behavior, the empowerment measures the amount of Shannon information that the agent can "inject into" its sensors through the environment, affecting future actions and future perceptions. On the other hand, maximization of the predictive information or excess entropy enables an adaptive/evolutionary change in controllers' logic in such a way that the system becomes coordinated. Methods relying on the use of predictive information in a sensorimotor process may produce explicit learning rules for the agent optimizing its behavior. However, the lack of a broadly applicable mathematical framework across multiple scales and contexts leaves GSO methodology incomplete. Devising such a framework and identifying common principles of guidance are the main themes of GSO workshops.
"The GSO-2012 workshop will bring together invited experts and researchers in self-organizing systems, with particular emphasis on the information- and graph-theoretic foundations of GSO and the information dynamics of adaptive systems."]]></description>
<dc:subject>self-organization conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:55baace79a30/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sustain.bris.ac.uk/ws-causality/">
    <title>Time for Causality - Causal Inference and Dynamic Decisions in Longitudinal Studies</title>
    <dc:date>2011-11-15T20:38:26+00:00</dc:date>
    <link>http://www.sustain.bris.ac.uk/ws-causality/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>causal_inference conferences</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:16869cc6ca6f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ergodicity.net/2011/10/30/banff-blog/">
    <title>Banff blog « An Ergodic Walk</title>
    <dc:date>2011-10-30T20:31:58+00:00</dc:date>
    <link>http://ergodicity.net/2011/10/30/banff-blog/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Sounds delightful (and Banff is beautiful).
]]></description>
<dc:subject>conferences statistics learning_theory statistical_inference_for_stochastic_processes track_down_references markov_models network_data_analysis estimation van_handel.ramon nonparametrics re:smoothing_adjacency_matrices information_theory</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:cshalizi/b:b9e4e121c609/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:learning_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistical_inference_for_stochastic_processes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:track_down_references"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:markov_models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:estimation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:van_handel.ramon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:nonparametrics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:re:smoothing_adjacency_matrices"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:information_theory"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.flickr.com/photos/devinf/sets/72157626779839394/">
    <title>ACIC 2011 - a set on Flickr</title>
    <dc:date>2011-06-03T21:05:41+00:00</dc:date>
    <link>http://www.flickr.com/photos/devinf/sets/72157626779839394/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[We all look far more intellectual in B&W than I remember feeling.  And we keep talking with our hands!
]]></description>
<dc:subject>conferences causal_inference photos</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:75b53f15c782/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:causal_inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:photos"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.hss.cmu.edu/departments/sds/ddmlab/workshop/">
    <title>Experience, heuristics, and choice: Prospects for bounded rationality: Workshop, CMU,1 December 2010</title>
    <dc:date>2010-11-29T19:57:54+00:00</dc:date>
    <link>http://www.hss.cmu.edu/departments/sds/ddmlab/workshop/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I'll have to miss this, since I'll be teaching and otherwise working, but it looks very interesting.
]]></description>
<dc:subject>heuristics heuristics_and_biases decision-making epistemology bounded_rationality conferences cognitive_science carnegie_mellon</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:0063e898b6d5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:heuristics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:heuristics_and_biases"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:decision-making"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:epistemology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:bounded_rationality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:cognitive_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:carnegie_mellon"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.modelingepistemology.pitt.edu/">
    <title>Home | Epistemology of Modeling &amp; Simulation: Conference, Pittsburgh, 1--3 April 2011</title>
    <dc:date>2010-11-09T15:42:23+00:00</dc:date>
    <link>http://www.modelingepistemology.pitt.edu/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I should probably submit something, shouldn't I?
]]></description>
<dc:subject>conferences simulation philosophy_of_science modeling methodology</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f92c7d7cd479/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<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:modeling"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:methodology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.aistats.org/cfp.php">
    <title>AI Statistics 2011</title>
    <dc:date>2010-09-14T12:15:25+00:00</dc:date>
    <link>http://www.aistats.org/cfp.php</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Deadline 1 November
]]></description>
<dc:subject>conferences machine_learning statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e10c28352a9b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.rss.org.uk/main.asp?group=&amp;page=1332&amp;event=1186&amp;month=&amp;year=&amp;date=">
    <title>The Royal Statistical Society - Future Events: Complexity and statistics: tipping points and crashes</title>
    <dc:date>2010-09-10T17:56:32+00:00</dc:date>
    <link>http://www.rss.org.uk/main.asp?group=&amp;page=1332&amp;event=1186&amp;month=&amp;year=&amp;date=</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>gigs conferences complexity statistics heavy_tails self-promotion</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e7d5326c9d67/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:heavy_tails"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:self-promotion"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://morrislab.med.utoronto.ca/~anna/networksnips2010/">
    <title>Workshop on Networks Across Disciplines in Theory and Applications will take place on December 10 or 11th in Whistler, BC</title>
    <dc:date>2010-08-15T19:12:48+00:00</dc:date>
    <link>http://morrislab.med.utoronto.ca/~anna/networksnips2010/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Again with Whistler!  (I should see if there'll be something new ready by the deadline...)
]]></description>
<dc:subject>conferences network_data_analysis kith_and_kin</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:bc53b3566c8a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:kith_and_kin"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://legacy.samsi.info/workshops/2010cn-opening201008.shtml">
    <title>SAMSI - Tutorials and Opening Workshop - Program on Complex Networks</title>
    <dc:date>2010-07-27T15:54:26+00:00</dc:date>
    <link>http://legacy.samsi.info/workshops/2010cn-opening201008.shtml</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I'll be doing a poster version of "Homophily, Contagion & Confounding"
]]></description>
<dc:subject>conferences networks network_data_analysis gigs statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:832169ec6a92/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sustain.bris.ac.uk/ws-stochapprox/">
    <title>Stochastic approximation: methodology, theory and applications in statistics</title>
    <dc:date>2010-07-17T18:58:47+00:00</dc:date>
    <link>http://www.sustain.bris.ac.uk/ws-stochapprox/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["The aim of this workshop is to gather 20-25 world specialists on stochastic approximation and its applications, who might not have the opportunity to meet otherwise, in order to present and discuss recent methodological and theoretical developments in the area, as well as applications."  Looks interesting, can't go.
]]></description>
<dc:subject>conferences stochastic_approximation statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:54100cf57611/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:stochastic_approximation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://event.cwi.nl/uai2010/schedule.html">
    <title>UAI 2010: Schedule</title>
    <dc:date>2010-07-05T12:20:07+00:00</dc:date>
    <link>http://event.cwi.nl/uai2010/schedule.html</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences gigs machine_learning uai</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:2f79beed2ccf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:uai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://scifoo10.wiki.oreilly.com/wiki/index.php/Sci_Foo_Campers">
    <title>Sci Foo Campers - SciFoo10</title>
    <dc:date>2010-06-02T00:26:40+00:00</dc:date>
    <link>http://scifoo10.wiki.oreilly.com/wiki/index.php/Sci_Foo_Campers</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I foresee many moments where I act embarrassingly fanboyish.  (On the other hand: John Brockman.)
]]></description>
<dc:subject>scifoo gigs conferences</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:ab5be6d1da0f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:scifoo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ise.tamu.edu/SOSWorkshop/">
    <title>Self-Optimizing Systems Workshop</title>
    <dc:date>2010-06-01T14:02:42+00:00</dc:date>
    <link>http://ise.tamu.edu/SOSWorkshop/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>self-organization conferences gigs adaptive_behavior</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:9254a1f30fc7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:self-organization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:adaptive_behavior"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cslgreenhouse.csl.illinois.edu/allerton/">
    <title>Allerton Conference</title>
    <dc:date>2010-05-07T17:10:37+00:00</dc:date>
    <link>http://cslgreenhouse.csl.illinois.edu/allerton/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>information_theory conferences gigs</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:9bbdff314472/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:information_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.phil.vt.edu/dmayo/conference_2010/index.htm">
    <title>Statistical Science &amp; Philosophy of Science: Where Do/Should They Meet in 2010?</title>
    <dc:date>2010-02-10T15:30:50+00:00</dc:date>
    <link>http://www.phil.vt.edu/dmayo/conference_2010/index.htm</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>gigs conferences statistics philosophy_of_science kith_and_kin mayo.deborah spanos.aris</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:54a23c688bb3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:kith_and_kin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:mayo.deborah"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:spanos.aris"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://event.cwi.nl/uai2010/index.html">
    <title>UAI 2010</title>
    <dc:date>2009-11-29T00:06:17+00:00</dc:date>
    <link>http://event.cwi.nl/uai2010/index.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I'll be speaking on "causal states".
]]></description>
<dc:subject>conferences machine_learning artificial_life gigs</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:778215f2be89/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:artificial_life"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.aistats.org/">
    <title>AI Statistics 2010</title>
    <dc:date>2009-10-30T02:27:59+00:00</dc:date>
    <link>http://www.aistats.org/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Good: Sardinia!  Bad: Deadline Nov. 6th.  Can I cut the Bayes paper down by then? --- They wouldn't have taken it anyway, as already published in EJS.
]]></description>
<dc:subject>conferences statistics machine_learning sardinia artificial_intelligence</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:e8faefc59269/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:sardinia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:artificial_intelligence"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sand.stat.cmu.edu/">
    <title>Sand5 HomePage</title>
    <dc:date>2009-10-30T01:20:51+00:00</dc:date>
    <link>http://sand.stat.cmu.edu/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA["Fifth International Workshop Statistical Analysis of Neuronal Data (SAND5): May 20-22, 2010 Pittsburgh, PA"
]]></description>
<dc:subject>neuroscience statistics neural_data_analysis fmri time_series conferences pittsburgh neural_coding_and_decoding</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:d8ef06adc78c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:neuroscience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:neural_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:fmri"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:time_series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:pittsburgh"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:neural_coding_and_decoding"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://icwsm.org/2010/index.shtml">
    <title>ICWSM 2010 - International AAAI Conference on Weblogs and Social Media</title>
    <dc:date>2009-10-06T01:36:01+00:00</dc:date>
    <link>http://icwsm.org/2010/index.shtml</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I'm there.
]]></description>
<dc:subject>conferences blogging social_media social_networks network_data_analysis</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:696297de6b36/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:blogging"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://wpweb2.tepper.cmu.edu/evite/NetworkScience/NetworkSciHome.html">
    <title>Network Science Workshop</title>
    <dc:date>2009-10-05T13:55:50+00:00</dc:date>
    <link>https://wpweb2.tepper.cmu.edu/evite/NetworkScience/NetworkSciHome.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[CMU, October 19.  Free but registration req'd.
]]></description>
<dc:subject>networks social_networks social_media random_graphs network_data_analysis conferences kith_and_kin carnegie_mellon</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:f2da9de0d689/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:social_media"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:random_graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:kith_and_kin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:carnegie_mellon"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.ipam.ucla.edu/programs/hum2010/">
    <title>Networks and Network Analysis for the Humanities: An NEH Institute for Advanced Topics in Digital Humanities: Institute For Pure and Applied Mathematics</title>
    <dc:date>2009-09-16T16:43:52+00:00</dc:date>
    <link>http://www.ipam.ucla.edu/programs/hum2010/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Sounds cool.
]]></description>
<dc:subject>networks network_data_analysis text_mining conferences humanities digital_humanities</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:bf45f6c5e969/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:text_mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:humanities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:digital_humanities"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.ipam.ucla.edu/programs/onr2009/">
    <title>Agent-Based Complex Systems October 12 - 14, 2009: Institute For Pure and Applied Mathematics</title>
    <dc:date>2009-09-16T16:42:46+00:00</dc:date>
    <link>http://www.ipam.ucla.edu/programs/onr2009/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences agent-based_models</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:fa70bc920fe9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:agent-based_models"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.samsi.info/programs/2010aoodprogram.shtml">
    <title>SAMSI Program on Analysis of Object Oriented Data</title>
    <dc:date>2009-09-08T19:35:07+00:00</dc:date>
    <link>http://www.samsi.info/programs/2010aoodprogram.shtml</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I am so there.
]]></description>
<dc:subject>statistics machine_learning network_data_analysis time_series functional_data_analysis events conferences bioinformatics gene_expression_data_analysis spatial_statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:197be10d1fa6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:network_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:time_series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:functional_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:events"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gene_expression_data_analysis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:spatial_statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.milburnhotel.com/">
    <title>Milburn Hotel</title>
    <dc:date>2009-06-22T15:21:03+00:00</dc:date>
    <link>http://www.milburnhotel.com/</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[For the Columbia "correlatons in fMRI" mini-conference, 2009-07-15.
]]></description>
<dc:subject>new_york conferences travel hotels</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:bcd74d60bcc8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:new_york"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:travel"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:hotels"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bayesml1.stat.cmu.edu/">
    <title>Case Studies in Bayesian Statistics and Machine Learning 1 - 2009</title>
    <dc:date>2009-05-28T23:53:11+00:00</dc:date>
    <link>http://bayesml1.stat.cmu.edu/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences statistics machine_learning bayesianism</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:4ad609fbdebb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:bayesianism"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://fitelson.org/few/schedule.html">
    <title>FEW 2009 Schedule</title>
    <dc:date>2009-05-21T04:06:38+00:00</dc:date>
    <link>http://fitelson.org/few/schedule.html</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences epistemology philosophy_of_science logic rationality occams_razor carnegie_mellon</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:31369c602951/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:epistemology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:philosophy_of_science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:logic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:rationality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:occams_razor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:carnegie_mellon"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.samsi.info/workshops/2009stodyn-opening200908.shtml">
    <title>SAMSI - Tutorials and Opening Workshop - Program on Stochastic Dynamics</title>
    <dc:date>2009-05-18T20:32:35+00:00</dc:date>
    <link>http://www.samsi.info/workshops/2009stodyn-opening200908.shtml</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences stochastic_processes</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:42cde3fe2395/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:stochastic_processes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cse.ohio-state.edu/mlss09/">
    <title>2009 Chicago Summer School/Workshop on Theory and Practice of Computational Learning</title>
    <dc:date>2009-03-11T14:06:37+00:00</dc:date>
    <link>http://www.cse.ohio-state.edu/mlss09/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>machine_learning learning_theory computational_statistics conferences</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:414285e42a5c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:machine_learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:learning_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:computational_statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.subtletechnologies.com/">
    <title>Subtle Technologies Festival</title>
    <dc:date>2009-01-26T13:24:15+00:00</dc:date>
    <link>http://www.subtletechnologies.com/</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>conferences gigs art art_and_science</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:3731ac197127/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:gigs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:art_and_science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://stat.sfu.ca/~dac5/workshop09/Welcome.html">
    <title>Workshop on Statistical Methods for Dynamic Systems Models</title>
    <dc:date>2008-11-04T22:16:11+00:00</dc:date>
    <link>http://stat.sfu.ca/~dac5/workshop09/Welcome.html</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[Vancouver in June.
]]></description>
<dc:subject>time_series statistics dynamical_systems conferences</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:68970ebdc118/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:time_series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:dynamical_systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.samsi.info/workshops/2008Blackwell-Tapia.shtml">
    <title>SAMSI Special Workshop: 2008 Blackwell-Tapia Conference</title>
    <dc:date>2008-09-25T21:40:47+00:00</dc:date>
    <link>http://www.samsi.info/workshops/2008Blackwell-Tapia.shtml</link>
    <dc:creator>cshalizi</dc:creator><dc:subject>statistics conferences good_causes</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:694c3748504f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:good_causes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://michaelnielsen.org/blog/?p=301">
    <title>Michael Nielsen » SciBarCamp</title>
    <dc:date>2008-02-05T13:17:12+00:00</dc:date>
    <link>http://michaelnielsen.org/blog/?p=301</link>
    <dc:creator>cshalizi</dc:creator><description><![CDATA[I'd so be there, if it weren't for a previous obligation
]]></description>
<dc:subject>conferences scibarcamp nielsen.michael</dc:subject>
<dc:identifier>https://pinboard.in/u:cshalizi/b:62ccb324cdc2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:conferences"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:scibarcamp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:cshalizi/t:nielsen.michael"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>