PhD Course - Socialising Big Data
Organiser(s):
Brit Ross Winthereik
Lectureres:
Adrian Mackenzie, Lancaster University, Velux Visiting Professor at the ITU in 2014
Penny Harvey, University of Manchester
Evelyn Ruppert, Goldsmiths College, University of London
Celia Lury, University of Warwick
Date(s) of the course:
10-11 June 2014
Time:
10 June: 11.00-18.00
11 June: 09.00-14.00
Room:
TBA
Course description:
This advanced interdisciplinary PhD workshop will involve ‘socialising’ Big Data in two ways. First it will comprise training in the concept and conduct of collaboratories as a social science method of working with practitioners not as informants or users but as co-producers of concepts and knowledge. The workshop will do this through illustrations and discussions of collaboratories that have been conducted with practitioners who work with Big Data in three different contexts: bioscience, national statistics and waste management. In addition to attending to how these collaboratories worked methodologically, the workshop will explore their substantive discussions and findings concerning the range of meanings and the problems, risks and potentials of Big Data across the different practical settings. In this way the workshop will involve both training in how to ask critical questions about Big Data that can be taken up in relation to other substantive and practical contexts as well as the collaboratory as a social science method.
Program:
Tuesday 10
- 11-12 Public Lecture on Big Data
- 12-13 Lunch for workshop participants in canteen
- 13-17 Lectures and group exercises
- 18- Dinner for participants and lecturers
Wednesday 11
- 9-10.30 Exercises
- 10.30-12 Student presentations and discussion
- 12-13 Lunch
- 13-14 Sum up and evaluation
Prerequisites:
Social science/humanities background/interests (STS, anthropology, sociology, media or cultural studies).
Exam:
Students will prepare and hold an oral presentation.
Credits:
2 ECTS
Amount of hours the student is expected to use on the course:
Participation: 11 hrs.
Preparation : 45 hrs.
How to sign up:
Please send a short description of your PhD project (including information on how far into it you are), your institutional affiliation, and your motivation for participating in the course (1 page) to Brit Ross Winthereik (brwi@itu.dk) before March 15.