23nd INTERNATIONAL CONFERENCE
CREDIT 2024
The frontiers of new risks:
AI, digital and sustainability transitions 

Venice, Italy
3 – 4 October 2024

GRETA Associati (Venice, Italy), CRIF (Bologna, Italy), European Datawarehouse (Frankfurt am Main, Germany), European Investment Fund (Luxembourg), Intesa Sanpaolo (Milan, Italy) and Modefinance (Trieste, Italy) are partners in organising a Conference to be held in Venice on October 3-4, 2024.

The CREDIT 2024 conference will bring together academics, practitioners and PhD students working in various areas of financial and socio-economic risk with the aim of creating a unique opportunity for participants to discuss research progress and policy as well as industry-relevant insights and  directions for future research.

CREDIT 2024 is the twenty-third in a series of events dedicated to various aspects of credit risk and organised under the auspices of: the Department of Economics and VERA - Venice centre in Economic and Risk Analytics for public policies - of the Ca’ Foscari University of Venice, Joint Research Center European Commission, ABI - Italian Banking Association, AIAF - Associazione Italiana per l'Analisi Finanziaria, AIFIRM - Associazione Italiana Financial Industry Risk Managers.

Sustainability necessarily involves the adaptation of today’s business model to the dynamic nature of the current digitalised environments. Corporations need to make sure that resources, especially technology, are being used responsibly and efficiently to improve the lives of the present generations and future generations as well as strengthen their relationships with the environment as to solve sustainability-related problems such as poverty, environmental degradation, pollution and inequality.
Artificial Intelligence (AI) has the potential to address these societal problems including sustainability. The climate crisis and the degradation of the physical environment are complex problems that require the most innovative and advanced solutions. The real value of AI hence lies in its ability to facilitate and foster environmental and social governance, rather just as a tool to reduce pollution, poverty and resource depletion.
In the age of AI, societies depend on big data, social media, knowledge management and data science to survive and achieve these sustainability goals. AI has the potential to reshape not only finance and industry but also the whole society. There is need to understand opportunities and challenges as to properly manage all relevant risks.

The SCIENTIFIC COMMITTEE for the Conference consists of:
Marcin Kacperczyk (Imperial College London, Programme Chair)
Monica Billio (Ca’ Foscari University of Venice & GRETA)
Marie Brière (AMUNDI & Université Libre de Bruxelles)
Lucia Alessi (Joint Research Center, European Commission)
Leonardo Gambacorta (Bank For International Settlements)
Mila Getmansky (Isenberg School of Management, UMass Amherst)
Christian Gollier (Toulouse School of Economics)
Helmut Kraemer-Eis (European Investment Fund)
Jan Pieter Krahnen (Leibniz Institute for Financial Research SAFE & Goethe University)
Steven Ongena (University of Zurich, Swiss Finance Institute, KU Leuven, NTNU Business School & CEPR)
Roberto Rigobon (MIT Sloan School of Management)
Stephen Schaefer (London Business School)
Marti Subrahmanyam (NYU Stern Business School)   


PROGRAMME: https://www.greta.it/index.php/it/general-information-credit24/programme-2024

REGISTRATION: https://registration.nexave.org/it/iscrizione-evento/32/23rd-international-conference-on-credit-risk-evaluation

For the Registration Fees  and more detailed information, please visit the Conference website: https://www.greta.it/index.php/it/credit-2024 


ACKNOWLEDGEMENT OF EUROPEAN FUNDING
The organization of the conference has benefitted from financial support by:
- the European Union – NextGenerationEU, as part of the GRINS project - Growing Resilient, INclusive and Sustainable (GRINS PE00000018)
- ESG UPTAKE — TSI-2023-ESGRM-IBA - ESG risk management framework for the financial sector.  Funded by the European Commission - Grant Agreement N° 101145727.