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Ted Chen

@tedhchen.com

123 followers 169 following 8 posts

Social scientist studying climate change politics and social networks. tedhchen.com

Ted Chen @tedhchen.com · 21/03/2025

Reminder! CFP and workshop registration for the Political Networks and Computational Social Science Conference. We have a great lineup of network analysis workshop instructors: @michaeltheaney.bsky.social, @ognyanova.bsky.social, Shahryar Minhas, & Cassie McMillan. sites.google.com/view/confpol...

Poster for the 2025 Political Networks and Computational Social Science Conference.

Workshop information for the PolNet-PaCSS conference.

The workshops will be August 11 and August 12, 2025. There are four sessions: Introduction to Network Analysis in R taught by Michael Heaney; Network Visualization with R taught by Katya Ognyanova; Introduction to Latent Variable Models for Networks taught by Shahryar Minhas; and Introduction to Exponential Random Graph Models (ERGMs) taught by Cassie McMillan.

More information: https://sites.google.com/view/confpolinetworks/political-networks-conference/2025-polnet-workshops

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Ted Chen @tedhchen.com · 04/03/2025

Cfp: come join us at the 2025 Political Networks and Computational Social Science conference! sites.google.com/view/confpol...

Poster for the Political Networks and Computational Social Science conference.

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Ted Chen @tedhchen.com · 27/02/2025

We find a similar pattern in Texas. Personal experience with extreme weather (Hurricane Harvey and the 2021 winter storms) shifted Republican's climate attitudes. bsky.app/profile/cjfa...

Abstract of paper: Disaster experience mitigates the partisan divide on climate change: Evidence from Texas.
Despite the abundance of real world events and scientific information linking the worsening extreme weather to climate change, public attitudes toward climate issues in the United States remain highly divided along partisan lines. We compare the effect of different stimuli linking extreme weather events to climate change – personal experiences and scientific information – in reducing the partisan gap. A two-wave survey corresponding to multiple extreme weather events in Texas, including a natural experiment with power outage data from the 2021 North American Winter Storms, shows that personal experiences with extreme weather reduce the partisan divide in climate beliefs and polices. Scientific information attributing extreme weather events to climate change, however, had no effect in closing the partisan gap. These findings suggest that extreme climate events and disaster experiences force vividly tangible information about the proximity and severity of climate change on exposed individuals, prompting belief-updating and preference-shifting toward pro-climate policies.

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