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, tune in and find out what our speakers had to say.

Interdisciplinary Alchemy: Data Science + Social Science (1/3). This event was the first in a three-part series by DataKind UK exploring what data scientists can learn from partnering with other disciplines.

This session was chaired by Fran Bennett, CEO of Mastodon C and trustee of DataKind UK. It was organized in collaboration with SAGE Ocean and UCL.

Speakers:

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 behavior and subjective experiences, particularly focusing on crime, transport, and spatial research.
...
SAGE Ocean
Find out more - https://ocean.sagepub.com/

DataKind UK
Find out more - https://www.datakind.org/chapters/datakind-uk
....
You can find the questions discussed at this meet-up below:

https://docs.google.com/document/d/1Cy8iXMIT_kV-n1O_IWya0LLpQRF8RhqFQKk73MNQSUc/edit#