Joint HEI ISA ISEN Group activities

Co-design and collective intelligence


Academic advisor : GAUJARD Chrystelle
LEM (Lille Economie Management UMR CNRS 8179)
The IDEFI label means the HEI-ISA-ISEN Group can apply an educational innovation, the ADICODE (Innovation and co-design workshops), with the aim of preparing tomorrow’s engineers for emerging challenges linked to issues of innovation and a search for new economic models to foster sources of growth and alternatives in the face of the current context of systemic crisis.
The development of skills linked to the spirit of innovation, initiative and project promoters within companies has become a crucial issue in training engineers.
In rolling out the ADICODE project, the accent has been placed on stimulation and the use of collective intelligence, a dynamic that seems to emerge in particular in complex situations and helps to improve the management of innovations, through practices such as co-design.
Between a desire to take part in this collective intelligence logic and its concrete application, the challenge is vast: how should it be adapted ? How should it be organised ? The ADICODE project managers apply and give concrete form to this logic of collective intelligence day after day, particularly by creating a favourable environment and methods, but also through learning by projects – the co-elab projects bringing together teams of student engineers with a range of profiles around issues of innovation that are provided by our business partners.
From the design to the application to the logic of collective intelligence, issues arise :
– What organisation of the applied approach could help bring out collective intelligence ? In other words, is the educational ecosystem that has been set up appropriate ?
(Programme, network, means, tools, space, project stages, communities in practice, digital tools, co-design, etc.)
– Is there a body of evidence or observable phenomena pointing to its emergence? In what form does it emerge?
–  Can one link the practices of collective intelligence (methods of innovation, co-design, team work in a community, characteristics of working spaces, etc.) to visible effects (learning, innovative ideas, resolution of complex problems, etc.) ?

The idea of this research project is to consider the ADICODE® as a pedagogic innovation, encouraging new transferable managerial experiments and educational approaches centred on collective intelligence practices in the service of innovation, in 4 areas.

This research-activity project is also based on work originating in other fields and on their earlier results in methodological and theoretical terms. These are two other projects:

– ALICE-LAB (Action Learning for Innovation Creativity and Entrepreneurship) : a research-activity project aiming to test new economic models for entrepreneurial training and the spirit of initiative. Inter-disciplinary themes are included, such as approach assessment, the study of entrepreneurial educational ecosystems, the management of creative and innovative processes and forecasting in entrepreneurial education.

– HUBHOUSE : a research project as part of the “SRIE” regional consortium in the Nord-Pas-de-Calais region. The idea is to work on the analysis of support approaches for young project promoters: providing a support-oriented, supply base, entrepreneurial processes, the assessment of integration effects in approaches such as these, etc.

Ubiquity and ICT



Academic advisor : LENCLUD Thierry

The team aims to explore new directions of research in the fields of ubiquitous networks, the integration and operation of data that they produce. Its name is SMARTD, translated as Adaptable Distributed Systems and Telecommunications for Decision-Making.
This research activity, both applied and fundamental, helps confirm HEI’s legitimacy in the field of digital sciences.
The team consists of :
Nicolas GOUVY, Researcher, PhD in Computer Science from the Université de Lille 1.
Kahina HASSAM-Ouari, Researcher, PhD in Computer Science from the Université de Bretagne sud.
Vincent LEFEVERE, Research Engineer, PhD in Computer Science from Lille 1.



This research activity is part of the development of the smart countryside and smart cities, aiming to adopt concepts of the third revolution.
Ubiquitous networks are one of the answers put forward by this third industrial revolution. They are made up of “sensors” that can correspond to everyday objects, to which the capacities of measurement, storage, treatment and transmission of information have been added. This extra element is an integrated I.T. system of a reduced size that is contained in the object itself.
Besides sensors, other connected objects, called “actuators”, have emerged to act on their environment.
The number of connected objects, their material diversity and the embedded aspect mean the traditional approaches to administration and individual configuration of these objects are now impossible. This state of affairs calls for the development of mechanisms and principles of self-configuration and self-adaptation to the environment. This first research theme will be broken down into two parts :
First, we look at the software approach, based in particular on engineering guided by the models. The goal is to make it easier to programme the objects making up the ubiquitous network.
Second, we look at the possibility for simultaneous software and hardware reconfiguration, in order to put forward a new model for ubiquitous networks that can be globally adapted by reconfiguring a particular network object.

These connected objects are and will be major sources of information about the real world. They point to the emergence of an intelligent environment, with decisions taken on the basis of available information. Currently, this intelligence, this decision-taking is external and requires dedicated computers. Yet potentially the ubiquitous network can use each of its own elements to calculate, treat and store information. Its power will originate from the number of interconnected objects. Over the medium term, we propose to develop a second theme pertaining to the development of this information (big data, data-mining, business intelligence) within the ubiquitous networks.

EHE chair (Energy Habitat Environment)


For more information:

Green chemistry


“Optimisation of the efficiency of Plant Defence Inducers (PDIs), bio-sourced for an alternative method in crop protection”

Laboratories taking part in the OPTISTIM project

Laboratory of organic chemistry, HEI
BioGAP Laboratory (Biotechnology and Pathogen Agents Management in Agriculture), ISA
Centre of Environmental Chemistry and Interaction on Living Things, Mycology Team, Université du Littoral Côte d’Opale


Strong pressure from field disease
Agro-ecological context (Ecophyto 2018, etc.)
Search for innovative solutions respecting the environment and human health
Lack of efficient PDIs in the field


Screening of new PDIs on the septoria leaf blotch pathosystem
Optimisation of the efficiency of effective PDIs by :
Chemical modification (functionalisation)
Improvement of application conditions (dosage, deficiency, application method, etc.)
Study of action method :
Assessment of direct effect
Stimulated defence mechanisms (enzymology, cytology, etc.)


HEI team : Cristina-Maria ABUHAIE
Philippe GAUTRET
Benoît RIGO

ISA team : Caroline DEWEER
Patrice HALAMA

ULCO associate team :
Beatrice RANDOUX


HEI-ISA-ISEN Group and Université Catholique de Lille

Functional materials


Project: “Design of an active filament reversibly coupling optical, fluidic and thermal. ”