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.
Whether you're a current or aspiring data scientist, social scientist, or you are just interested to find out more about how different disciplines can learn from each other to better tackle social problems - come along!
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
Reka is a lecturer in quantitative methods focused on making use of new forms of data to gain insight into people's behaviour and subjective experiences, particularly focusing on crime, transport, and spatial research.
6.30pm: Doors open and sign-in
7pm: 'What can the worlds of data science and social science learn from working together? - brief talk from each speaker
7.45pm: Questions to the panel
8.30pm: Post meetup drinks at the Marquis Cornwallis
After the meetup we'll be carrying on the conversation at the Marquis Cornwallis pub, a 4 minute walk from the venue. Please join us for drinks and informal networking - we've a small bar tab so arrive promptly! :)
Huge thanks to Sage Publishing for their kind sponsorship of this event.