Breaking Barriers: Social and Data Sciences

Are you a University of Leeds researcher looking to develop interdisciplinary research collaborations between the social sciences and data sciences, but don’t know where to begin?

Then join us for this ‘Breaking Barriers: Social and Data Sciences' Workshop. This event will bring those in data and social sciences together to gain a new appreciation of each other’s approaches, methods and values and aim to provide you with a strong basis on which to find shared ground with those from other research areas and be able to explore future collaborative opportunities. It will help you understand how the different skills, expertise and methods of other fields of research can complement your own area, giving insights into how interdisciplinary collaborations could help better address complex societal challenges.

This workshop is particularly suitable for researchers at the University of Leeds who:

• Are interested in applying for interdisciplinary funding calls which bring together data science with social science research methods (potentially including novel combined methods through the new UKRI interdisciplinary pilot scheme).
• Struggle to respond to directed interdisciplinary calls with tight application deadlines as you don’t have the knowledge or connections with other disciplinary areas.
• Feel concerned that your own methods or approaches are not properly valued or understood by those in other fields, or that proposals to collaborate come too late to develop meaningful interdisciplinary research proposals.
• Want to increase your knowledge, skills and capacity to take future interdisciplinary collaboration opportunities.

We are aiming to have a good balance of attendees from each disciplinary area, so please pick a ticket based on whether you consider yourself to primarily be a 'social scientist' or 'data scientist'.

The timing includes a networking session with lunch at the end of the event.

This is an in person only event.

This work was supported by the LSSI Impact Acceleration Account.