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What can data scientists learn from social scientists?

Whether you're a current or aspiring data scientist, social scientist, or you are just interested to find out more, come along!

Social scientists are known for being meticulous in ensuring their work is rigorously robust and ethical. They have agreed methodologies for conducting research and established best practices in place. They have grappled with ethical challenges, and that was all before the concept of data science was even born.

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We want to know: What can data scientists learn from social scientists?

The session will be chaired by Fran Bennett, CEO of Mastodon C and trustee of DataKind UK.

Panel

Christian Arnold - School of Law & Politics, Cardiff University
Christian’s research focuses on institutions in governance. He uses natural language processing (NLP), drawing from classic statistical approaches, and also machine learning to aid his research.

James Allen-Robertson - Department of Sociology, University of Essex
James is a digital sociologist interested in the relationship between humans and technology, digital cultures, and in the development of new digital methods using data science.

Lorien Jasny - College of Social Sciences & International Studies, University of Exeter
Lorien is a computational social scientist focused on questions of public involvement in environmental decision making. She studies how we bring about societal change, often involving large, dynamic, and relational data sets.

Iulia Cioroianu - Institute for Policy Research, University of Bath
Iulia’s previous work includes Understanding News Bias (UNBias) and developing algorithms for measuring topic-specific ideological positions in news articles.

Whether you're a current or aspiring data scientist, social scientist, or you are just interested to find out more, come along!

6.30pm: Doors open and sign-in
7pm: 'What can data scientists learn from social scientists?' - brief talk from each speaker
7.45pm: Questions to the panel
8.30pm: Finish

**Post meetup drinks TBC!**