14 Aug 2020
Can't wait to hear...
▪️ Dwayne Smith from @GMU_COS on recidivism rates
▪️ @SamuelBaltz from @umichpolisci on alternative electoral systems
▪️ Chen-Shuo Hong from @UMassSociology on reducing polarization
...in the #pacss2020 #polnet2020 ABM session!
web.northeastern.edu/nulab/p…
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13 Aug 2020
The cat enjoyed his first PolNet.
But he missed a killer presentation by @margaretfoster and Tana Johnson (w/ @amauritsvdv)
#polnet2020 #PaCSS2020 @PolNetworks
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PolNet XIII has been unusual, but true to form, it still feeds my soul. So glad to catch up with these scholar friends --we've attended every PolNet. @davidlazer @michaeltheaney @AESokhey @PolNetworks #PolNet2020
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12 Aug 2020
Have questions about what it's like, what sort of jobs exist and how to find them, how to prepare, or how to collaborate? Or just want to chat? Come join! #polnet2020 #pacss2020
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12 Aug 2020
Join me and others in the mentoring session in ten minutes to talk about industry research! #polnet2020 #pacss2020
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12 Aug 2020
.@TahaYasseri uses cosine similarity of British MP voting behavior to show that there were more within-party differences among pro-Brexit supporters. #pacss2020 #polnet2020
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12 Aug 2020
.@SaminAref & @zpneal use partitioning to identify coalitions and measure polarization. Polarization has increased, bill passage has declined. But if not for increasing partisanship, congress would be more ineffective #pacss2020 #polnet2020
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12 Aug 2020
Koji Oishi and Kentaro Sakuwa have built a temporal dataset of rivalry and alliance in IR, to explore whether/when states balance one another. Great use of signed networks to explore classic IR theory. #pacss2020 #polnet2020
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12 Aug 2020
Cold email interview requests have lower response rate, but referrals and location-based requests have network effects (observations not independent) @Jwoldense on how cold emails can help you target different parts of the network to get more coverage. #pacss2020 #polnet2020
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12 Aug 2020
The real world is networks, which means that many experiments break SUTVA. Caleb Pomeroy and @SkylerCranmer are fighting the good fight by providing a toolkit for handling these complications #pacss2020 #polnet2020
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12 Aug 2020
Political elites have structural power because they can influence policy making.
Many of these networks are hard to observe because they aren't always formal, and ties differ across context. @Omerfyalcin uses wiki data to collect network data across context #pacss2020 #polnet2020
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11 Aug 2020
Miss the online poster session for #PaCSS2020 x #PolNet2020? Here's what we talked about! Women in the US House collaborate with women more than men... but it's not because more women are getting elected. @YanXqin @zpneal
Thread (1/6)⤵️
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11 Aug 2020
The #TwitterPoster session at #PaCSS2020 & @PolNetworks #PolNet2020 was excellent. If you missed it, check out this 🧵with all the animated GIF posters.
Sorry - you have to BYO room-temp domestic beer.
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11 Aug 2020
@jennifernvictor on the power of #networks to ignite change in Congress! #PACSS2020 #POLNET2020 jvictor.gmu.edu/index.php/re…
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11 Aug 2020
Late entry: The emergence of singularities from distributed intelligence.
Wayfinding through the maths of deep learning illustrates they way that singularities & their regulatory behaviors emerge from distributed intelligence. #PaCSS2020 #PolNet2020 #twitterposter
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11 Aug 2020
Mapping social perceptions of dry tropical forest degradation in Jalisco, Mexico.
#PaCSS2020 #PolNet2020
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I'm not superstitious or anything, but #PolNet2020 is PolNet # 13. @PolNetworks
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Making slides late at night. ✅
Crowd sourcing quotables. ✅
Uncomfortably hot and sticky outside. ✅
Bourbon in my glass. ✅
Looking around for @davidlazer @michaeltheaney & @AESokhey ✅
Must be #Polnet2020
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11 Aug 2020
One of the participants of #PACSS2020 #Polnet2020 made a new project today! Can you help magnify her voice? magnifyyourvoice.com/youthci… @Shugars
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Proposal: Conference paper titles should reflect the feedback one hopes to receive, hence my presentation tomorrow @ #Polnet2020: “SCOOPED: Is this result publishable despite a recent AJPS with the same finding (my data are superior, their model is superior)?”
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