The Office for National Statistics (ONS) Data Science Campus, the Alan Turing Institute, and the Financial Conduct Authority (FCA) are relaunching the economic data science seminar series online.
The series brings together economists and data scientists to showcase work and explore the potential for future development in this discipline.
The intended audience for these seminars includes both policymakers and academics. The seminars will be overseen by a group of seminar partners made up of representatives of key stakeholder organisations.
Further seminars will be announced in due course.
|Date and time||Session title||Speaker||Venue||Materials|
|Thursday 24 June 2021, 3 to 4pm||Causal Inference and Machine Learning in Panel Data Models||Susan Athey, Stanford Graduate School of Business||Online||Presentation slides|
Economic data science is a fledgling discipline. Applying the tools and techniques of data science to economic challenges offers rich new opportunities for measuring and understanding the economy.
One important challenge in realising the full benefits of the synthesis of data science and economics is in bringing economists and data scientists together to explore the collaborative opportunities.
The economic data science series has four objectives:
- to promote economic data science as a discipline
- to link researchers across institutions and disciplines and bring together the academic and policy communities
- to demonstrate cutting-edge applications of data science to economic questions to an audience of economists, data scientists and economic data scientists
- to provide a forum for addressing challenges in current work.