From Princeton to London via Chicago: My Summer Institute in Computational Social Science journey

Continuing our series on the Summer Insitute in Computational Social Science, Joshua Becker traces his SICSS journey.

Before I get into this, you should know I’m a network researcher. So even though this is ostensibly about a summer program, it’s also about networking. I almost didn’t participate in the Summer Institute in Computational Social Science, or SICSS as I now know it fondly. At the time, I thought it was just about learning the skills — and I felt I had a solid methods foundation — and mainly just applied because it seemed like the kind of thing I was supposed to do as a grad student. Having never previously seen the gorgeous Princeton campus, I imagined the trip itself as little more than spending two weeks in suburban New Jersey rather than at home with my wife. Luckily, I applied. And luckily, I was accepted. Mileage may vary, but I made out well on the deal.

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Impact & Society Chris Burnage Impact & Society Chris Burnage

Exploring social justice in an age of datafication

At the start of 2020 we welcomed Data Justice Lab Co-Founder/Director Lina Dencik to the SAGE Ocean Speaker Series. Dencik is reader at Cardiff University’s School of Journalism, Media and Culture. The Data Justice Lab ‘carry out research that engages with data analytics from a social justice perspective. This includes research that examines the implications of institutional and organizational uses of data as well as research that provides critical responses to potential data harms and misuses’. Watch the talk below to discover past and ongoing projects from the Data Justice Lab.

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Stop, collaborate listen: Gender equality in social data science. Watch the panel discussion now

And talking about gender equality in social data science means talking about the representation of women in tech and attitudes towards women in tech. It means confronting the stubborn prejudices and perceptions that women can’t code or can’t do stats. It means having a discussion about how as this new community of thought and practice is forming, we have a chance to make it look different than the communities that came before. And in particular, it seems vital to challenge ourselves to do so because of the questions social data scientists are asking and the methods they are using - because of the danger of biased algorithms, of reinforcing inequality through policies based on big but dirty data. 

Watch the panel discussion.

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Impact & Society, Communicating Research Heather Estop Impact & Society, Communicating Research Heather Estop

Euro CSS 2019: European Symposium Series on Societal Challenges in Computational Social Science

The 2nd-4th September 2019 marked the third in a series of symposia on Societal Challenges in Computational Social Science (Euro CSS). Computer scientists, political scientists, sociologists, physicists, mathematicians and psychologists from 24 countries gathered in Zurich for a day of workshops and tutorials followed by a two-day one track conference.

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Tools & Technology, Methods Innovation Heather Estop Tools & Technology, Methods Innovation Heather Estop

Event roundup: Future or fad? VR in social science research

At the end of February we ran a most enthralling event experience. Three panelists, two hosts and about 20 attendees all put their headsets on from their labs, offices and homes to join a virtual classroom decorated with trees, a castle, a slightly scary tiger and a hippo, to talk about the future of VR in social science research.

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Tools & Technology, Data Analysis Heather Estop Tools & Technology, Data Analysis Heather Estop

Roundup: #text2data - new ways of reading

‘From text to data - new ways of reading’ was a 2-day event organised by the National Library of Sweden, the National Archives and Swe-Clarin. The conference brought together librarians, digital collection curators, and scholars in digital humanities and computational social science to talk about the tools and challenges involved in large scale text collection and analysis.

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Methods Innovation, Teaching Methods Chris Burnage Methods Innovation, Teaching Methods Chris Burnage

Two weeks at the Summer Institute for Computational Social Science

In June, I attended the second iteration of the Summer Institute for Computational Social Science (SICSS), an intensive two-week program held at Duke that was intended to bring together researchers from across the social science and data science disciplines to learn and discuss topics in computational social science (CSS). Each day, the organizers Chris Bail and Matt Salganik taught mini-lectures on different CSS topics, we split into groups to work on activities together, and a speaker came in to present their research.

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