Representation, Management, and Processing of Data for Humans (ReGaRD)

Facilitators:

Eric Benoit / Lamia Berrah

A look ahead to the future of data and people.

The emergence of digital technology has formalized a fact that is now trivial: computer systems, humans, and society interact. More and more computer systems are designed to adapt to human behavior and meet human expectations.  These systems measure, analyze, and model the behavior of their targets in order to detect typical situations or contexts, thereby enabling humans to control the physical system being observed and to which the computer device is associated.

In this context, the ReGaRD research theme focuses on human data, from modeling to processing and management. The key point of this theme is to take humans into account in its research.

Keywords: representation, management, human data processing, graph, modeling, network, distributed system, decision support, etc.

Issues and challenges

Data is everywhere, whether it be information, knowledge, or data from sensors, social networks, or the economic world. It plays a vital role in our societies, shaping them and driving their evolution. The emergence of digital technology has formalized a fact that is now trivial: computer systems, humans, and society interact with each other.

The ReGaRD research theme focuses on this general issue: data, people, and their interactions. There are many issues related to this context, raising questions about the representation of this particular data for digital processing, its location—often stored and accessed in a distributed manner—and its processing and representation for decision support.

Scientific objectives

With regard to our scientific objectives, we focus more specifically on issues relating to the representation of data that incorporates human factors, its accessibility, and its processing with a view to assisting humans.

The issue of representing human data raises the question of how to model human knowledge and behavior, as well as the environment and context in which humans evolve.
Using tools such as graphs and ontologies, our work aims to model knowledge through terminologies and model human behavior in different environments such as housing, education, and business.

Access to data, information, and knowledge is a key issue in our digital societies. Managingthis data is therefore a crucial challenge.
In this context, we are interested in its adaptive distributed processing, secure access, and consistency. We are also working on the issue of cyberspace mapping in collaboration with the French Institute of Geopolitics, one of the goals being to analyze the strategy of states in cyberspace.

Data is the basis for decision-making. In this context, our work focuses on data processing and analysis for decision-making ordecision support. Using regression, fusion, and statistical techniques, we will study human/machine and machine/human interactions. The areas of application include industrial performance in business, propaganda detection and analysis of fake news propagation strategies on the web, and education for monitoring learners and training programs.

Ongoing projects

  • ATROCE (2025): "Decentralized and frugal federated learning on continuous data" (LISTIC, cross-disciplinary project)
  • AI4DHN (2024-2027): "Comparative study of the contribution of AI to the management of heating networks" (LOCIE-USMB, LISTIC / ANR, SHINE project)
  • NCU2 @SPIRE: "Support, Progressive Specialization, and Individualization for the Success of All Students" in collaboration with Imperial College London
  • GEODE: certified in November 2018 as a center of excellence in defense strategy research by MINARM with the Center for Internet and Human Rights (CIHR) in Berlin
  • DATASPHERE: INRIA project in collaboration with the Institute for Higher National Defense Studies (IHEDN)
  • Condillac: international research group whose interests concern Terminology and Ontology
  • ANR PARFAIT (2022-2025): Planning and Learning for AI-Edge Computing (CEDRIC, LISTIC, LIA, Inria)
  • Lab Human Capital – Career paths and training paths (Pôle Emploi, Prismo, CERAG) 
  • UNITA: (2020-): "Universitas Montium"
  • MariCybERA (2020-): Maritime cybersecurity
  • Ambient intelligence: "Measuring human activities in the home" (LISTIC)

Members

I. Alloui (McF)

K. Arfaoui (McF)

E. Benoit (McF)

L. Berrah (Professor)

Mr. Bettinelli (McF)

J. Boissière (McF)

J. Bou-Slihim (Assistant Professor)

K. Boutalbi (Doc)

F. Bronzino (Partner)

S. Cimpan (McF)

V. Couturier (McF)

A. Dahhani (Doc)

L. Damascus (McF)

R. Dapoigny (Professor Emeritus)

R. El-Hadri (Doc)

R. Ferrer (Doc)

L. Foulloy (Professor Emeritus)

F. Loukil (McF)

A. Mary Huet de Barochez (Doc)

P. Mathieu (Doc)

Y. Mhiri (McF)

S. Monnet (Professor)

S. Naama (Doc)

 

S. Perrin (McF)

B. Pichon (Doc)

S. Plassart (McF)

F. Pourraz (McF)

C. Roche (Professor Emeritus)

K. Salamatian (Professor)

D. Telisson(McF)

L. Valet (McF)

H. Verjus (McF)

F. Vernier (McF-HDR)

X. Zhang (Doc)

 

Completed projects

  • AFREU (2024): "Federated Resilient and Dynamic Learning" (LISTIC, cross-disciplinary project)
  • EraDA (2023-2024): "Spatial extrapolation of snow test results for avalanche hazard forecasting" (LISTIC / USMB Foundation)
  • Music, disability, and IoT (2018-2024): "Automatic measurement of sensory disorders related to autism using IoT" (LISTIC, LPNC / USMB Foundation, ED SIE)
  • IA2BIERE (2022-2023): "Identification of Human Activities through Distributed, Ethical, and Benevolent Ambient Intelligence" (LISTIC)
  • RestAdom (2021-2023): "Detecting the reasons why elderly people leave their homes" (LISTIC, SYMME/SOMFY, CSMB)
  • HyPE13 (2020-2022): "HYbridizing and Sharing Lessons Learned"
  • CIME (2018-2022): "Decision-making tools for determining the appropriate level of vigilance in mountain environments presenting risks," in partnership with HES-SO Valais, HEIG-VD, Aléa, data-avalanche.org, and the Swiss Mountain Guides Association.
  • ANR RainbowFS and are carried out in collaboration with LIP6 (UPMC), Scality, LIG (CNRS), and Télécom SudParis.
  • UPPA-USMB Transfrontour: "Recommendation methods for collaborative tourist itineraries" with LIUPPA, HES-SO Valais school, and the "Montagne Inventive" Tourism Cluster
  • FP7 GAINS: "Geopolically Aware Internet Security" with the Center for Internet and Human Rights (CIHR) in Berlin