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 [log in to unmask] 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.

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