DePERU project

DePERU : Decision-making Processes under Extreme Radical Uncertainties

The Decision-making Processes under Extreme Radical Uncertainties (DePERU) project aims to analyze the impact of radical uncertainties on decision-making processes, exploring how these forms of uncertainty influence deliberation, choice, and legitimation in an ever-evolving geopolitical, ecological, technological, and social context.

 

715 000 €

in funding from the Initiative of Excellence

4 years

Project duration - renewable

46

Researchers involved

11

Research units

6

Research areas

The DePERU strategy: understanding the project

Major global transitions are expected to take place in the coming years, in geopolitical, ecological, technological and social dimensions. The drastic nature of these changes and their simultaneous occurrence will generate radical forms of uncertainty, perhaps to an unprecedented level in human history.

This situation raises a critical question: how do humans manage such extreme radical uncertainties? While previous studies on decision-making have focused on less radical forms of uncertainty (risk and ambiguity), this project aims to understand how radical uncertainty influences decision-making.

DePERU methodology

This research program requires new methods and approaches, particularly a truly interdisciplinary perspective.

The central idea of the project is to document current forms of radical uncertainty in order to produce scenarios that will serve as material for empirical research on the decision-making of actors, conducted through a combination of methods (experiments, surveys, observation).

DePERU research areas

Radical uncertainty (RU)

Production of Disruptive Scenarios

This research focus aims to develop disruptive and almost inconceivable scenarios through interdisciplinary collaboration between scientific experts, social science researchers, and fiction writers, drawing inspiration from the French Ministry of Armed Forces' "Red Team Defense" initiative. The approach will explore the interactions between various dimensions of potential crises (environmental, technological, sociopolitical) to create a dynamic mapping of radical uncertainties and a database of scenarios, while maintaining scientific rigor.

The project will also examine the epistemic status of this scenario-based approach and the role of fiction in understanding radical uncertainty, particularly through studying the impact of these narratives on behavior and civil society.

Deliberation

This research axis examines the influence of extreme radical uncertainty on deliberation processes, analyzing how it affects information gathering, scenario development, and reasoning at group, organizational, and institutional levels. The research studies the role of various forms of knowledge, expertise, and new technologies (including artificial intelligence and simulations) in strategic decision-making, with particular attention to crisis situations and hybrid systems involving multiple actors. The analysis also extends to how European democracies and the transatlantic alliance adapt to emerging strategic challenges, including hybrid threats and environmental crises.

Choices

This research axis explores the impact of radical uncertainty on decision-making processes at both individual and collective levels, examining how it influences different stages of choice, from initial deliberations to final decisions. The project analyzes whether radical uncertainty encourages automatic responses or more deliberate reasoning, drawing on models from various disciplines (psychology, economics, ethology, computational neuroscience), and including the study of non-human models such as insect societies. The research combines qualitative and quantitative approaches, using concrete scenarios related to radical uncertainty (climate change, armed conflicts, AI) to gather behavioral, physiological, and neuroscientific data, in order to understand how radical uncertainty modulates known influencing factors in decision-making.

Legitimacy

This research area examines the normative aspects of decision-making in radical uncertainty, analyzing how decisions are perceived as fair, justified, or legitimate by both decision-makers and those who are affected by the outcomes. It explores the three dimensions of legitimacy (pragmatic, cognitive, and moral) and investigates how various social, psychological, and economic factors influence the perception of decisions made by different actors (businesses, states, international organizations), particularly in crisis situations.

The research combines qualitative and quantitative approaches to analyze the impact of these perceptions of legitimacy on future behaviors (voting, civil disobedience, boycotts), through case studies conducted at different scales (local, national, international).

Application and mediation

This research area aims to establish close connections with civil society through participatory action research and scientific mediation, with the ambition of positioning the University of Lille as a leader in collaborative sciences and creating the Lille Interdisciplinary Institute on Radical Uncertainty (LIIRU). The project adopts a "team science" approach based on the HOT-fit framework (Human, Organization, Technology) to facilitate interdisciplinary work and participatory action research, while focusing on continuous training to address radical uncertainties such as the digital revolution and ecological transitions.

Finally, the project proposes research, training, and consultancy services to businesses and institutions, drawing inspiration from the Red Team methodology to develop scenarios that will enhance their ability to adapt to radical uncertainty.

At a glance

In response to the major transitions anticipated in the geopolitical, ecological, technological, and social domains, this project aims to understand how radical uncertainty influences individual decision-making processes. It will rely on an innovative interdisciplinary approach combining both quantitative and qualitative methods. The project will develop radical uncertainty scenarios in collaboration with experts, authors, and researchers. These scenarios will then be used in a research setting to simulate situations, allowing the study of actors' reactions, decisions, and choices.

Partners
Discover the structures and actors involved in the AREA project

CECILLE, Centre d'Études en Civilisations, Langues et Lettres Étrangères, ULR 4074 – Université de Lille

 

CERAPS, Centre d'Etudes et de Recherches Administratives, Politiques et Sociales, UMR 8026 - CNRS

 

CHJ, Centre d'Histoire Judiciaire, UMR 8025 - CNRS, Université de Lille

 

 

CLERSÉ, Centre lillois d’études et de recherches sociologiques et économiques, UMR 8019 – CNRS, Université de Lille

 

CRDP, Centre de Recherche Droits et Perspectives du droit, ULR 4487 - Université de Lille

 

CRIStAL, Centre de Recherche en Informatique, Signal et Automatique de Lille, UMR 9189 – Université de Lille, Centrale Lille, CNRS, Inria

 

IRHis, Institut de Recherches Historiques du Septentrion, UMR 8529 - CNRS, Université de Lille

LEM, Lille Économie Management, UMR 9221 - CNRS, Université de Lille, IESEG School of Management

LUMEN, Lille University Management, ULR 4999 - Université de Lille

 

PSITEC, Psychologie : Interactions, Temps, Emotions, Cognition, ULR 4072 - Université de Lille

 

SCALab – Sciences Cognitives et Sciences Affectives, UMR 9193  – Université de Lille, CNRS

 

STL, Savoirs, Textes, Langage, UMR 8163 - CNRS, Université de Lille

 

The project is led by Fabrice Le Lec (LEM) and Sami Maki (CERAPS). The executive committee is composed of the leaders of the various research axes ("work packages"), with the following composition:

  • WP1: Alexandra Hyard (CLERSE), Claudio Majolino (STL)
  • WP1: Damien Charabidze (CHJ), Mikael Toulza (CECILLE)
  • WP2: Justine Faure (IRHiS), Sami Makki (CERAPS)
  • WP3: Julien Benistant (LEM), Arthur Prével (SCALAB)
  • WP4: Elsa Bernard (CRDP), Jean-François Totti (LUMEN)
  • WP5: Massil Benbouriche (PSITEC), Damien Charabidze (CHJ), Maud Herbert (LUMEN)