Politics and Computational Social Science APSA Pre-Conference

SZ
Steinert-Threlkeld, Zachary
Wed, May 10, 2023 3:35 PM

The 6th annual Politics and Computational Social Science (PaCSS) conference will take place August 30, 2023 at UCLA.  We hope that you will join us to share your work.

Apply at https://docs.google.com/forms/d/e/1FAIpQLSedYZcCgPZdGOGf2by5xMC-CRplYGz9PQTtO7OOoe5yMaR27g/viewform by Friday, May 19.  Submissions should include an abstract for a single proposed talk. To get a sense of the breadth and diversity of content presented at PaCSS, take a look at the 2022 programhttps://cssh.northeastern.edu/nulab/pacss/.

Email politics.css@gmail.com with any questions.

PaCSS 2023 is co-chaired by Jennifer Pan (Stanford) and Zachary C. Steinert-Threlkeld (UCLA), with support from David Lazar (Northeastern) and Sarah Shugars (Rutgers).

About PaCSS

The data and methodologies available to social scientists have exploded with the emergence of archives of digital data collection, large scale online experimentation, and innovative uses of simulation. The analysis of these data requires more complex methodological approaches and greater computational complexity than the approaches that have dominated the study of politics for the last 50 years.

The analysis of digital data offers the potential for rich insights into society at scale, but it also introduces new ethical and infrastructural challenges. In parallel, the information and communication technologies that have driven this data revolution are also driving changes in politics, around the world, that require study.

In order to understand the political world, it is increasingly important to gain access to the political communication and behavior occurring online. PaCSS, started in 2018 with about 150 attendees, offers a forum for computational social science research in this emerging space. Examples of relevant topics/approaches include: analysis of social media; text analysis; use of finely granular geographic data; and large scale online experimentation. Deeply committed to elevating the voices and work of populations which are underrepresented in computational spaces, PaCSS actively seek, welcome, and encourage people from all fields, industries, backgrounds, experiences, and identities to submit their work and attend.

--

Zachary Steinert-Threlkeld (he, him)

Assistant Professor of Public Policy

Luskin School of Public Affairs

University of California – Los Angeles

www.zacharyst.comhttp://www.zacharyst.com/; @ZacharyST

The 6th annual Politics and Computational Social Science (PaCSS) conference will take place August 30, 2023 at UCLA. We hope that you will join us to share your work. Apply at <https://docs.google.com/forms/d/e/1FAIpQLSedYZcCgPZdGOGf2by5xMC-CRplYGz9PQTtO7OOoe5yMaR27g/viewform> by Friday, May 19. Submissions should include an abstract for a single proposed talk. To get a sense of the breadth and diversity of content presented at PaCSS, take a look at the 2022 program<https://cssh.northeastern.edu/nulab/pacss/>. Email politics.css@gmail.com with any questions. PaCSS 2023 is co-chaired by Jennifer Pan (Stanford) and Zachary C. Steinert-Threlkeld (UCLA), with support from David Lazar (Northeastern) and Sarah Shugars (Rutgers). About PaCSS The data and methodologies available to social scientists have exploded with the emergence of archives of digital data collection, large scale online experimentation, and innovative uses of simulation. The analysis of these data requires more complex methodological approaches and greater computational complexity than the approaches that have dominated the study of politics for the last 50 years. The analysis of digital data offers the potential for rich insights into society at scale, but it also introduces new ethical and infrastructural challenges. In parallel, the information and communication technologies that have driven this data revolution are also driving changes in politics, around the world, that require study. In order to understand the political world, it is increasingly important to gain access to the political communication and behavior occurring online. PaCSS, started in 2018 with about 150 attendees, offers a forum for computational social science research in this emerging space. Examples of relevant topics/approaches include: analysis of social media; text analysis; use of finely granular geographic data; and large scale online experimentation. Deeply committed to elevating the voices and work of populations which are underrepresented in computational spaces, PaCSS actively seek, welcome, and encourage people from all fields, industries, backgrounds, experiences, and identities to submit their work and attend. -- Zachary Steinert-Threlkeld (he, him) Assistant Professor of Public Policy Luskin School of Public Affairs University of California – Los Angeles www.zacharyst.com<http://www.zacharyst.com/>; @ZacharyST