People, Society, and Data

People, Society, and Data will introduce students to the ways in which researchers are combining social science research methodologies with recent advances in field of data science to tackle challenges such as climate change, the role of misinformation in elections, and the factors leading to education inequality in the UK and beyond. Students will leave the programme with a firm grounding in the challenges and opportunities of employing data analytics in the social sciences.

Dates

Six sessions, to be held on weekdays between January and May, both in and out of term time.

 DayDateTimeLocation
Session 1 Wednesday 22nd January 2020 13:00–16:00 Streatham campus, Exeter
Session 2 Wednesday 29th January 2020 13:00–16:00 Streatham campus, Exeter
Session 3 Wednesday 12th February 2020 13:00–16:00 Streatham campus, Exeter
Session 4 Wednesday 25th March 2020 13:00–16:00 Streatham campus, Exeter
Session 5 Saturday 4th April 2020 10:00–15:30 Streatham campus, Exeter
Session 6 Wednesday 13th May 2020 13:00–16:00 Streatham campus, Exeter

Activity Locations

All subject activity sessions will take place on the University of Exeter Streatham campus.

Meeting point: Clayden Building, Streatham campus 

Subject Activity Strand Content

People, Society, and Data will provide students with an introduction to the challenges and opportunities of employing advanced data analytics to key societal challenges. You will gain insight into cutting-edge research from our leading academics from Exeter, while also getting the opportunity to learn and apply data analytic techniques to answer the research questions that are important to you.

The pathway is organised around six sessions. The first four sessions will introduce students to the fundamentals of data analysis in the social sciences (e.g. an introduction to measurement, causal inference, etc.), provide examples of advanced data analytics in practice by drawing on the research expertise of academics at Exeter, and introduce students to the fundamentals of computer programming for data analysis. The fifth session will offer students the opportunity to work in teams to solve real-world social science problems. The final session will bring together what you have learnt and give you the opportunity to present your work.

The course would benefit any student interested generally in the social sciences, and how these subjects are taught at degree level. Although you will be taught how to use some methods of data analysis, you don’t need to be studying maths. 

 

This subject activity strand has contributions from the following degree programmes:

  • BSc Politics and International Relations

  • BSc Sociology
  • BSc Criminology

Entry Requirements

There are no specific entry requirements for this subject activity strand. 

Pass Criteria

A minimum of 5 out of the 6 subject activity sessions must be attended, in addition to the Exeter Scholars Student Conference.