Data science meets social sciences: Understanding origins, means and consequences of social computing

Mark
March 24, 2016

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Data science meets social sciences: Understanding origins, means and consequences of social computing

I wish I could take part in this – it looks fantastic:

Call for Submissions and Registration

We would like to invite submissions for the 2016 Social Study of IT Open Research Forum (SSIT ORF) Workshop at the London School of Economics on the 19th of May 2016. Aiming at PhD and junior researchers, this year’s workshop will investigate the variety of data centric research in the social sciences.

Arguably, we live in the age of the data revolution. The wave of data is redefining what we study, how we study it and how we theorise. Already acclaimed by some as a paradigmatic shift in science, the data revolution and data science receive considerable attention within the social sciences community. As such, this year’s Social Study of IT Open Research Forum of the Department of Management, LSE, aims at presenting research in progress in this area. If you are researching big data and analytics, this is the place for you to talk about your research, discuss potential stumbling blocks and hear from other participants who may be approaching similar research questions from different theoretical or methodological perspectives.

A significant feature of the Open Research Forum is its informality. While we discourage the use of slides, we will focus on panel presentations with plenty of time to focus on emerging questions and issues. You do not need to bring polished research, but rather to briefly present your topic, research question, theory, methodology and tentative or expected findings and engage in discussion with fellow researchers.

Registrations for the Open Research Forum are currently taking place. If you are interested in presenting, please submit a summary (500-1000 words) of the work or research issues you would like to present and discuss to SSIT-ORF@lse.ac.uk and register here. If you are interested in participating without a presentation, you can register to attend here. Deadline for submissions is the 14th of April 2016. Successful participants will be notified by the 22nd of April 2016.

https://orflse.wordpress.com/

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This entry was posted in Archive and tagged Archive, data science, Digital Capitalism and Digital Social Science, Digital Social Science, Interested, social computing. Bookmark the permalink.

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