Description
[University of Cambridge]The SDS is an application only intensive teaching programme structured around the life-cycle of a digital research project, covering principles of research design, data collection, cleaning and preparation, methods of analysis and visualisation, and data management and preservation practices.
Students will gain hands-on experience of data-intensive research methods from leading researchers and practitioners, as well as critically addressing theoretical assumptions about these practices. They will be equipped with tools, methods, and ideas to study the social in the ever-changing digital environment today.
As part of the application process, participants will propose a project to work on during the five days of the Data School. You may apply with a pre-existing project or propose a new project which you will develop during the course of the Data School. In either case, projects should show great potential to have an impact in the public interest. Taught sessions, workshops, keynotes, and other activities will provide opportunities for these projects to be developed with teachers and peers. Participants will be expected to present their progress and what they learned at the end of the school. See more details about projects and their relation to applications in the ‘How to apply’ section below.
Modules will cover the following content in the context of discussions about Machine Learning, Social Media and Decoloniality which will run across the whole curriculum:
Methodology for Digital Investigations
Introduction to Computer Vision and Machine Learning for Investigations
Basic Automations for Investigations
Geolocation and Open Source Investigations
Social Network Analysis
Critical Approaches to Data Visualisation
| Period | 26 Jun 2023 → 30 Jun 2023 |
|---|---|
| Event type | Workshop |
| Location | Cambridge, United KingdomShow on map |
| Degree of Recognition | International |
Keywords
- social
- data
- cambridge university
- 2023