09/07/24
- Vie de la Chaire
Présentation des travaux à la Conférence "Data for Policy 2024 – Decoding the Future: Trustworthy Governance with AI?"
The Data for Policy conference series is the premier global forum for multiple disciplinary and cross-sector discussions around the theories, applications and implications of data science innovation in governance and the public sector. The general chairs Dr Zeynep Engin (Founder, Data for Policy), Jon Crowcroft (University of Cambridge) and Stefaan Verhulst (NYU) are delighted to be working with local chairs from our host Imperial College, Professor Mark Kennedy and Dr Rosella Arcucci for the 2024 edition in this conference series. Data for Policy is an independent non-profit initiative, registered as a community interest company in the UK.
08/04/24
- Vie de la Chaire
Présentation des travaux au Conseil National des Moyens de Paiement
David Bounie et Abel François présenteront les travaux de recherche sur l'accès aux équipements bancaires dans les territoires au Conseil National des Moyens de paiement.
05/04/24
- Vie de la Chaire
12th biennial Postal Economics Conference - April 4-5, 2024 à la Toulouse School of Economics
Ivan Shchapov présentera les travaux sur l'accès aux équipements bancaires à la 12th biennial Postal Economics Conference - April 4-5, 2024 à la Toulouse School of Economics
18/03/24
- Vie de la Chaire
17th FINANCIAL RISKS INTERNATIONAL FORUM "Big Data & Algorithmic Finance"
The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or using new methods of data generation such as text mining are now widespread. Banks, insurance and investors are using an increasing amount of data to understand consumers’ or firms’ behavior, and design investment or trading strategies. Algorithms start to be major players in many areas, and regulations, which were mostly designed for humans, need to adapt to this new environment.
This upcoming 17th Financial Risks International Forum aims to discuss the challenges posed by the use of big data and algorithmic finance.
