Chairs, Initiatives, and Research
Fintech & Digital Finance Chair
The Fintech Chair aims to help develop knowledge in the fields of fintech and digital finance. Their focus areas are:
- The business model of digital finance, particularly the role of finance-centered platforms and ecosystems (including blockchain mechanisms and cryptocurrency)
- Regulation, ethics, and cybersecurity
- Corporate financing through new marketplaces (e.g. crowdfunding) and new funding methods (e.g. ICO and tokens)
- The sustainability of digital finance, as well as the ethical questions it raises
This chair is led by Hervé Alexandre in partnership with Mazars and Crédit Agricole CIB.
FINTECH & DIGITAL FINANCE CHAIR
Quantitative Management Research Initiative
The QMI research initiative seeks to promote quantitative finance and its benefits in terms of research, risk management, and value creation for investors. One of its main priorities is the use of artificial intelligence in the production of market signals.
This research initiative is led by Gaëlle Le Fol in partnership with ENSAE and with support from LFIS.
QUANTITATIVE MANAGEMENT RESEARCH INITIATIVE
Digital Economics Chair
The mission of the Digital Economics Chair is to serve as a center for discussion and action bringing together stakeholders and experts from various relevant sectors. Its program is intended to take full advantage of the opportunities offered by communication and information technologies: personal data governance, cooperative economics, educational systems, the impact on employment and the ways people work, etc.
This chair is led by Dominique Roux in partnership with Avanade, Stim Plus, MediaTransports, Gredda, and Enedis.
Governance Analytics Initiative
The Governance Analytics initiative is part of a partnership (IRIS) between members of Université PSL, with Dauphine hosting the team under the guidance of Eric Brousseau, professor of economics and management at Dauphine.
Since October 2016, it has brought together researchers in economics, computer science, mathematics, political science, and sociology to analyze governance in our complex, evolving societies.
It is founded on the creation of a data factory intended to process data through collective decision-making mechanisms, institutional dynamics, and the functioning of markets and organizations. A team of post-doc students and engineers support the research teams from the PSL member institutions, enabling them to boost their skills in the design of research protocols, collection, and data processing, whether the data is: available on a massive scale (big data), unstructured, dispersed (e.g. archives), or presented in the form of weak signals.
GOVERNANCE ANALYTICS INITIATIVE
Governance and Regulation Chair
This chair focuses on several research areas surrounding issues connected to society and the regulation of future digital societies: effectiveness and privacy in online advertising, regulation in the digital transformation, subsidized net neutrality and competition, digital funding platforms, cryptocurrency, etc.
This chair is led by Eric Brousseau in partnership with IOA, SIOE, and a large number of industry partners.
Other Ongoing Projects
Project Team – INRIA/Mokaplan
This Dauphine-INRIA project team develops digital methods, algorithms, and software programs to solve variational problems related to optimal transport (MoKa stands for Monge-Kantorovitch) and inverse problems in imaging.
Project Team – Intelligent Agents for Decision-Making and Reasoning
The purpose of this project is to formulate models and algorithms for reasoning and decision-making processes with the aim of developing complex problem resolution systems for decision support and automated decision-making. The types of decision-making problems range from individual decisions to group decisions, while the tools used may be centralized or distributed. The key concept of the project is that of intelligent agents, positioned fairly broadly in the field of artificial intelligence.
Intelligent agents can demonstrate a degree of autonomy and have their own beliefs and preferences, along with a capacity for reasoning, communication, and decision-making.
Team hosted by the Decision Support Center at LAMSADE
Project Team – Machine Learning
The Machine Learning project team at LAMSADE deals with the theoretical, algorithmic, and applied aspects of machine learning.
In terms of theory, the team examines: 1) robustness against adversarial attacks on deep neural networks (deep learning); 2) causal learning; 3) differential privacy; 4) the connections between game theory, adversarial learning (generative adversarial networks), and online learning; 5) parsimony for the interpretability of learning models; and 6) reinforcement learning.
On the algorithmic side, current studies deal with the development of compact architecture with a low memory footprint for deep neural networks by harnessing the theory of structured matrices, data structures for effective learning using data streams, clustering based on dynamic-graph data, etc.
Finally, the team applies and deploys their algorithms, often with industry or academic partners, in a variety of applications, but with a particular focus on health care. Among these applications, there is the ANR (French National Research Agency) project being conducted in cooperation with the Bicêtre Hospital, which aims to develop algorithms for detecting and tracking brain disorders in newborns.
In collaboration with the company Adway, we are developing new approaches to predictive and precision medicine by utilizing the theory of causal learning. In partnership with INSERM, the Pitié Salpêtrière Hospital, and the Institute of Cardiometabolism and Nutrition (ICAN), the team develops deep learning algorithms for the classification of disorders using metagenomic data. Also in the field of health care, other applications involve robotics designed to assist individuals with motor impairment, as well as brain computer interfaces.
Additionally, the team works on applications in the recognition and classification of artistic styles (RASTA tools), the detection of illicit items (a collaboration with CEREMADE and the company Smiths Detection), finance, etc.
Team hosted by the Decision Support Center at LAMSADE
ANR Project – An Auction Language for General Auction Players
Project led by Stephane Airiau
ANR Project – Computation, Communication, Rationality, and Incentives in Collective and Cooperative Decision-Making
Project led by Jérôme Lang
Thematic Project – New Tools in Foresight
This project constitutes one of the three research areas at CR2D. In particular, it involves predictive justice and the impact of open data for legal decisions on French law.
Project hosted by CR2D
ANR Project – Market Design in the Digital Age
The aim of this research program is to study the impact of fintech on the financial system and to make recommendations in terms of market design solutions that would optimize the implementation of fintech products and services.
Project coordinator: Marius-Andrei Zoican
ANR Project – Market Design in the Digital Age
H2020 Project – Agile Co-Creation for Robots and Aging
The goal of this project is to enable the development of advanced robotics solutions based on ICT to prolong active, healthy aging in daily life by defining, developing, and testing an agile co-creation development process.
Project lead : Denis Guiot.
H2020 Project – Agile Co-Creation for Robots and Aging
ANR Project – MEADOW
The MEADOW project, entitled "The Meaning of Downsizing: Evidence from France, 1996-2015," is led by a multidisciplinary team. It analyzes the consequences of restructuring and assesses their causal effect on the performance of companies in France (1996-2015).
In particular, the project involves building a relational database that makes it possible to query a dozen publicly available statistical series.
Co-leaders : Paul Lagneau-Ymonet and Bénédicte Reynaud, IRISSO
ANR Project – Workers on Tap: The Social Impact of Platform Capitalism
This project deals with the transformation of the labor market as it relates to digitization, particularly in terms of its societal aspects.
Leader : Sarah ABDELNOUR
CIFRE Thesis – The Impact of Artificial Intelligence on Management Control Practices
The digital revolution has had a major impact on the entire corporate finance ecosystem. The introduction of new information and communications technologies has led to a transformation of traditional organizational models, governance management systems, and performance management.
In this climate, professions and the organization as a whole will be impacted, especially with the introduction of new control tools. The objective is to analyze control practices established in banking institutions within an environment marked by change.
Thesis director: Nicolas Berland, corporate partner with the Aurexia consulting firm