
Han Zhang
@hanzhang_pton
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Assistant Professor @HKUST PhD in Sociology @Princeton, Computational Social Scientist and Political Sociologist
Hong Kong
Joined July 2011
Delighted to share videos from many of the events at the 2021 SICSS Festival. Tutorials and panel discussions on a variety of topics related to computational social science:
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Thanks for the inspiring panel on using text and images as social science data to kick off the #SICSS festival! @thomasrdavidson @LauraK_Nelson @michtorresp @hanzhang_pton @brycejdietrich @msalganik
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It was so much fun organizing #SICSS in Hong Kong with @jaemin_lee_phd and Haohan Chen! #SICSS_HK @msalganik @chris_bail
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Are you a social scientist who loves description, digital media & fast reviews? Submit to the Journal of Quantitative Description @journalqd, which publishes *non-causal* work about digital media. Thanks @kmmunger @eszter @andyguess @jenjpan ! #SICSS festival 2021 @msalganik
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It's a great fun and thanks @thomasrdavidson for the great organizing work!
Big thanks to @michtorresp @LauraK_Nelson @hanzhang_pton @brycejdietrich for the brilliant #SICSS festival panel on computer vision. The recording will be posted soon for anyone who couldn't attend. Check out the other events happening this week here: https://t.co/mGCgOFVCdU
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It's a great honor!! thanks so much @ica_cm I noticed this too late๐
๐ฅ๐ฅ Announcing Computational Methods Division Best Paper Awards ๐๐ The second Best Paper Award goes to ๐ Image Clustering: An Unsupervised Approach to Categorize Visual Data in Communication Research by Han Zhang (HKUST) & Yilang Peng @pengyilang (U. of Georgia).
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Excited to see that our paper (w @hanzhang_pton) was awarded a top paper @ica_cm . We compared several unsupervised approaches to categorize unlabeled image data. If u r interested in visual analysis, check our video #ICA21
https://t.co/jBQ4bGPZ25
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Big thanks to @michtorresp @LauraK_Nelson @hanzhang_pton @brycejdietrich for the brilliant #SICSS festival panel on computer vision. The recording will be posted soon for anyone who couldn't attend. Check out the other events happening this week here: https://t.co/mGCgOFVCdU
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NEW: Warren, "How Much Do You Have to Publish to Get a Job in a Top Sociology Department? Or to Get Tenure? Trends over a Generation" https://t.co/P6xqPa7lLv .@warre046
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A visual analogy of linear regression and PCA using a straight rod (the regression line, in black), pegs (data points, in orange), and springs (in green).
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The @nytimes claims "As we reach more people, our [live] poll will become more stable and the margin of sampling error will shrink." https://t.co/5vVDEctjhI This is true for random sampling, but false for live polls. See Xiao-Li Meng's
nytimes.com
This affluent, coastal district was one of the most reliably Republican areas of the 20th century, and Republicans still have a 10-point registration advantage. But Hillary Clinton won it by two...
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Dogs herding sheep ๐๐๐ via Tysonism.
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Very intriguing results; image as data. | Working Paper: Graphs in the American Economic Review - Policy Viz
policyviz.com
Iย collect, categorize, classify, and rate more than 2,600 graphs that appear in the first issue of theย American Economic Reviewย since 1911.
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Follow along with my computational #sociology course this fall: https://t.co/K1vld9ul5x (Syllabus), https://t.co/z2ejGsGpAZ (Week 1 Slides)
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Material for recent @iussp workshop on Social Media for Demographic Research by @ezagheni @kpolimis @monjalexander
github.com
IUSSP EPC Mainz 2016 Social Medial Workshop. Contribute to CSDE-UW/iussp-mainz-social-media development by creating an account on GitHub.
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I'll be giving a talk about my new book "Bit by Bit: Social Research in the Digital Age" today at 2:30pm, Convention Center Rm 307 #asa2016
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I had the privilege to read the book. It's a fantastic idea to put a book in Open Review. You can make it better!
"Bit by Bit: Social Research in the Digital Age" a new book by @msalganik now in Open Review. Read & participate at
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Computational and practical challenges in running a socialist economy https://t.co/jQOfNt5xwE by @Chris_Said
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