Scientific Data in Science Diplomacy:
Introducing the new ERC project Neworld@a in collaboration with
STAND – The Historical Commission on Science, Technology and Diplomacy
24-25 February 2022
Pentahouse Room, Alliance Manchester Business School,
University of Manchester and on Zoom
This meeting launched the new project NEWORLD@A – Negotiating World Research Data: A Science Diplomacy Study (2022-2027) funded by the European Research Council. The project is a cross-continental collaborative scheme aiming to investigate world data exchange systems with the ambition of both reconstructing their historical ancestry and better understanding their geographical unevenness.
10-10.30 Meet and Greet/breakfast
10.30-11.20 Simone Turchetti, University of Manchester), Presentation of Neworld@a followed by Q&A session (Convenor: Aya Homei, University of Manchester)
This session will introduce participants to the new project, its content, aims and general outline.
11.30-13.30 Session 1: Data in Perspective (Convenor: Gordon Barrett, University of Oxford)
This session reflects on ongoing research on data from a variety of perspectives drawing on recent work in different disciplines.
- Stefania Milan (University of Amsterdam), Data and the Global South
- Anna Scaife (University of Manchester), Big Data and Big Science
- Bruno Strasser (University of Geneva), How Small is Big Data?
14.30-15.50 Session 2: Studying Data through Social Network Analysis (Convenor: Lif Lund Jacobsen, Danish National Archive)
This session will focus on the quantitative element of the new project, which aims to better understanding the shaping of world data systems through a social network analysis of data centres and their connections.
- Dirk Wintegrun (Max Planck Institute for the History of science)
- Roberto Lalli (Max Planck Institute for the History of science)
- Carringtone Kinyanjui (University of Manchester/Technical University of Kenya)
16.00-17.00 Session 2: NEWORLD@A Research Projects (Convenor: Simone Turchetti)
This session will offer further details on some of the project’s strands encompassing a variety of data-intensive scientific areas: from marine science to population research and nuclear studies.
- Gordon Barrett (University of Oxford)
- Doubravka Olsakova (Institute of Contemporary History, Czech Academy of Sciences)
- Aya Homei (University of Manchester)
- Sam Robinson (University of Southampton)
- Lif Lund Jacobsen (Danish National Archive), Matthew Adamson (Corvinus University, Budapest)