Because of the coronavirus outbreak, and in order to streamline our online event schedule, we have taken the difficult decision to cancel the Social Data School that was due to take place in June 2020. We will post information about the 2021 school as soon as it is available.
Cambridge Social Data School
The Cambridge Social Data School main objectives are to:
- Democratise access to tools and methods for digital data collection, analysis and reporting
- Foster the development of ethical practices in digital research
- Encourage dialogue between academia, civil society, the public sector and industry about the social, ethical and policy implications of digital research methods.
The Data School will leverage expertise within and outside the University of Cambridge in internet-mediated research providing practical instruction and knowledge exchange across sectors, professions and disciplines. Participants will be drawn from civil society groups, academia and the public sector.
The Social Data School course content will be structured around the life-cycle of a digital research project, covering principles of research design, data collection and wrangling, methods of analysis and visualisation, to data sharing, sustainability and preservation.
The 2020 Social Data School teaching team will include:
- Dr Hugo Leal (Cambridge Digital Humanities Methods Fellow, Research Associate, Conspiracy and Democracy project, CRASSH, University of Cambridge)
- Dr Anne Alexander (Director of Learning, Cambridge Digital Humanities; Ethics of Big Data research group, University of Cambridge)
Questions related to the application procedure: Karen Herbane (Digital Humanities Learning and Events Coordinator): learning@cdh.cam.ac.uk Questions related to course content: Hugo Leal (Cambridge Data Schools Coordinator): hjl51@cam.ac.uk.
