Econom'IA 2025 - May 19-20, 2025, Nanterre, France

  Poster (PDF)

We are proud to announce the second Econom’IA workshop that will take place at EconomiX (Université Paris Nanterre), Nanterre, France, on May 19-20, 2025.

This conference aims to explore and foster the cutting-edge applications of Artificial Intelligence (AI), Data Analysis Methods, Data Visualization, and other innovative techniques across all fields of Economics. Econom'IA brings together academic researchers and entrepreneurs who use advanced techniques to analyze economic data.

 This 2-day workshop includes:

• morning sessions with formal lectures and practical workshops led by established scholars introducing new tools and techniques,
• afternoon sessions dedicated to presentations and discussions of papers using at least one of these innovative techniques.

For this second edition, we are honored to have César Hidalgo (TSE, Toulouse School of Economics) on May 19^th and Christophe Bénavent (PSL, Paris-Dauphine) on May 20^th as our keynote speakers.

• Graph analysis methods, with special training given by Lionel Villard on CorText, a publicly available web platform providing data analysis methods.
• Large Language Models (LLM), with a special lecture given by Gaël Lejeune, an Associate Professor in Computer Science at the Faculty of Arts of Sorbonne University, specializing in Natural Language Processing (NLP) and Image Analysis.
• Innovative Methods Applied to Economics: leveraging AI or data science methods.
  

César Hidalgo, Research Director, ANITI, Toulouse University

César A. Hidalgo is well-known for his influential work in economic complexity, data visualization, and artificial intelligence. He is a Professor at the Toulouse School of Economics and head of the Center for Collective Learning (CCL), a multidisciplinary research laboratory with offices in Toulouse and  Corvinus University of Budapest.
Additionally, he is an Honorary Professor at the University of Manchester.
Prior to moving to Europe, César led the Collective Learning group at MIT and was a research fellow at Harvard’s Kennedy School of Government. He is also a co-founder of Datawheel, a company specializing in data distribution and visualization systems that released the Observatory of Economic Complexity (OEC).
César has authored several scientific papers, and three books, including the acclaimed Why Information Grows.
His work has been recognized with several prestigious awards, including the Lagrange Prize and multiple Webby Awards.

Christophe Benavent, Professor at Paris Dauphine - PSL

Christophe BENAVENT is a Professor at the University of Paris Dauphine. His work focuses on the digital phenomenon as a whole, specifically on commerce and consumption, at the intersection of economics, sociology, and organizational sciences. He is the author of Platforms: Collaborative sites, social networks, and marketplaces... how they influence our choices.

Graph analysis

 May 19, 2025

Training morning

8:45am to 9:30am: Welcome greetings

9:30am to 12:30am (including a break): Textual Graph Analysis with CorText

Speaker: Lionel Villard (director of  CorText platform)

 12:30pm to 2pm: Lunch 

 2:00pm to 2:15pm: Nadine LEVRATTO, Director of EconomiX

Afternoon of presentations

2:15pm to 3:15pm : Key-note speaker César Hidalgo (Research director, ANITI, Toulouse University)

Economic Complexity: How Machine Learning is Helping us Understand Economic Development

For more than a decade, economic complexity has been a flagship application of machine learning methods to questions of sustainable economic growth and development. In this talk I will introduce the main methods used in the field, connect them to similar concepts in AI, and explore recent and upcoming research in economic complexity. I will conclude by discussing new research directions in the field including the use of economic complexity methods to explore questions of economic history, digital trade, and international development strategy.

 3:15pm to 3:55pm : Guillaume Hollard (Centre de Recherche en Économie et STatistique (CREST), Ecole Polytechnique Université Paris Saclay), Gwen-Jiro Clochard (Osaka University)

What Really is in Phone Data? Matching Census and Mobile Phone Data in Senegal.

3:55pm to 4:10pm : Pause

4:10pm to 4:50pm : Robin Meneust (CY Tech) and Benoît Couderc (CY Tech)

Author Name Disambiguation of Bibliographic Data Based on Maching Learning Models Applied to PhD Thesis Matching Case Study.

4:50pm to 5:30pm : Fabienne Llense (EconomiX, Université Paris Nanterre, CNRS)

Environmental and climate mandatory disclosure: a paper tiger? Evidence from France

 5:30pm to 6:10pm : Olivier Caron (Dauphine Recherches en Management  (DRM), Université Paris Dauphine-PSL, CNRS), Christophe Benavent (Dauphine Recherches en Management  (DRM), Université Paris Dauphine-PSL, CNRS)

Public Reaction to Pharmaceutical Preannouncements on Social Media: A Signaling Perspective

Large Language Models (LLM)

 May 20, 2025

Training morning

 8.45am to 9am: Welcome greetings

 9am to 12.30pm (including a break) : Use of LLMs

Gaël Lejeune is an Associate Professor in Computer Science at the Faculty of Arts of Sorbonne University, specializing in Natural Language Processing (NLP) and Image Analysis. He holds a PhD in Computer Science from the University of Caen on multilingual epidemiological monitoring (2013) and a habilitation to supervise research from Sorbonne University on the impact of data variation on the application of NLP methods (2023).

His research focuses on the robustness of NLP systems in various contexts of variation, whether linguistic (multilingualism, text genres, diachrony) or qualitative (noisy textual data obtained through web scraping, OCR, or ASR).

 12.30pm to 2pm: Lunch

Afternoon of presentations

2pm to 3pm : Key-note speaker Christophe Benavent (Professor at Paris Dauphine - PSL)

 AI, LLM and social sciences: a methodological perspective.

Starting in 2017, with the advent of Transformers, the field of Natural Language Processing (NLP) has rapidly advanced, leading to the emergence of very large generative models. This approach has extended beyond text processing and now enables multimodal document processing, opening new perspectives for corpus analysis in social sciences across four methodological domains: annotating documents for quantification and integration into econometric procedures, transforming documents for secondary processing, interacting with documents for interactive analysis, and finally, experimenting in silico. The main challenges revolve around the reliability of AI for these tasks, as well as the development of protocols to ensure the validity and reproducibility of measurements.

3pm to 3:40pm  :  Maria Manera (University of Turin, Bureau of Reasearch on Innovation Complexity and Knowledge  (BRICK)), Francesco Quatraro (University of Turin, Bureau of Reasearch on Innovation Complexity and Knowledge  (BRICK))

 Mapping European Circular Economy Patents Using Deep Learning Models

3:40pm to 4pm  :  Pause

4pm to 4:40pm  :  Josep Domenech (Universitat Politècnica de València  (UPV)), Pablo De Pedraza (Universitat Politècnica de València  (UPV))

 Using AI for Evaluating Public Policy Communication: Insights from the Comunitat Valenciana Case Study.

4:40m to 5:20pm  :  François Lafont (Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux  (CESAER)), Eulalie Saïsset (Centre de Recherche sur les Inégalités Sociales  (CRIS), Sciences Po Paris)

 Contested Ground: Exploring Land Use Conflicts in France.

5:20m to 6:00pm  : Del Puente Francesco (Parthenope, Italy), Yanhong Jin (Rutgers University, US), Alessandro Sapio (Parthenope, Italy), Carl Pray (Rutgers University, US)

 Assessing the impact of a European Union's policy on Agricultural Innovation in Italy.