Social data science in evidence-based policy-making
Event Information
Description
The Alan Turing Institute and ESRC invites you to attend a two day event exploring Social Data Science in Evidence-Based Policy-Making.
Day 1: Tuesday 11th September 10:30 – 18:00
Day 2: Wednesday 12th September 10:00 – 17:00
The vast quantities of heterogeneous data that are increasingly available have the potential to revolutionise our understanding of human behavior. Harnessing this knowledge to support better evidence-based policy making will have enormous benefits for society.
Realising the full potential of these possibilities depends on finding solutions to a number of important methodological and practical challenges.
The workshop will provide an important opportunity for social scientists and data scientists to present their research and debate the challenges.
It will help to establish priority areas for research, develop a common understanding of the methodological and ethical challenges for social data science, identify training requirements for future researchers and build relationships between researchers and policy makers.
Through presentations and debates the event will strengthen the UK social and economic research community’s capacity to address increasingly complex social science research questions in robust ways that will have lasting benefits for UK citizens.
The event will bring together leading academic and non-academic stakeholders from the UK and internationally.
Presentation sessions will explore the opportunities and challenges for social data science to address diverse social and economic issues in the areas of:
- Health and Wellbeing
- Cities and Public Services
- Economy and Trade
- Crime and Security
Organiser The Alan Turing Institute
Organiser of Social data science in evidence-based policy-making
We are the UK’s national institute for data science and artificial intelligence.
The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data.
Click here to join our newsletter