Session: Computational social science

Time: Thursday 5th July, 09:15 - 10:45

Convenors:

Professor Maria Fasli (University of Essex)
Ms Katie Metzler (SAGE Publishing)

Abstract Details

This session will bring together computer and social scientists from the University of Essex to discuss the challenges and opportunities facing researchers applying methods from the fast-developing fields of natural language processing (NLP), artificial intelligence (AI) and machine learning to social science problems. The promise of “big data”, along with the affordances of new technology and advances in computational methods have transformed fields such as biology and astronomy, but take up within the social sciences has been slower. This session will introduce examples of computational methods that have been applied in social science problems and discuss challenges and opportunities.

Presentation downloads

Presenter: James Allen-Robertson

Programming Skills for Social Scientists

The level of the session is: Accessible

Presentation details

Presentation 1

Start time: 09:15

Presentation title: Big Data Research in the Social Sciences

Presenters:

Professor Nick Allum (University of Essex, Department of Sociology)
Ms Katie Metzler (SAGE Publishing)

Presentation 2

Start time: 09:30

Presentation title: Programming Skills for Social Scientists

Presenter:

Dr James Allen-Robertson (University of Essex)

Presentation 3

Start time: 09:45

Presentation title: Data Science and Computational Social Science for Knowledge Societies

Presenter:

Professor Maria Fasli (University of Essex)

Presentation 4

Start time: 10:00

Presentation title: Data Science for the Public Sector

Presenter:

Professor Slava Mikhaylov (University of Essex)

Presentation 5

Start time: 10:15

Presentation title: Discussion/Open Forum

Presenters:

Professor Maria Fasli (University of Essex)
Ms Katie Metzler (SAGE Publishing)