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What can data scientists learn from... social scientists? (1/3)
This meetup is the first in a three-part series exploring what data scientists can learn from partnering with other disciplines. This time, we're turning the spotlight on social scientists and asking: What can data scientists learn from social scientists? 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. The session will be chaired by Fran Bennett, CEO of Mastodon C and trustee of DataKind UK. It's organised in collaboration with Sage Publishing and UCL. Bringing years worth of research and some fresh ideas to help us consider this question, we have a panel of speakers from the world of social sciences, including: 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. Reka Solymosi - School of Law, University of Manchester 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!** Thanks to Sage Publishing for their kind sponsorship of this event.

Room G03

26 Bedford Way WC1H 0AP · London

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    What we're about

    Calling all data do-gooders: DataKind UK is a charity, and the UK chapter of DataKind. We're a community of data scientists and non-profits working together to better collect, analyze, and visualize data in the service of humanity.

    At our meetups you can hang out with other conscientious data enthusiasts and tech-savvy social innovators doing great things for the world here in the UK.

    Meetups are just a small slither of what we do; we are best known for our DataDive weekends which take place once a quarter. We also run monthly office hours for non-profits as well as longer term projects. To find out more about how you can get involved and to join our mailing list, please visit (

    If you're organizing a Data for Good meetup in the UK, drop a line to - we'd love to chat!

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