I-Maroc Project at a Glance: Key Highlights and Overview

Artificial Intelligence (IA) and applied mathematics provide basic components for computational modelling of natural and social complex systems. These numerical simulation systems are more and more the outcome of multidisciplinary teams. The basis of this project is the International Research Unit UMMISCO ( www.ummisco.fr) whose co-direction and Mediterranean center direction is managed by UCA. UMMISCO researchers are computer scientists and mathematicians having long standing collaborations with thematical researchers about sustainable development goals. Among these goals, integrated approaches for health and environment represent a key UpToDate challenge because public health issues are more and more studied at the global ecosystemlevel. Within this context, the goal of I-Maroc is the conception and the implementation of numerical simulation systems for health and environment by means of advanced Artificial Intelligence and Mathematical tools. From a methodological point of view, a strong and original principle of I-Maroc consists in the joint use of advanced computer science tools (Deep Learning, Computer Vision, Graph Theory…) and applied mathematics tools (dynamic systems, control theory, data assimilation…). Within this context, we will particularly study the links between mathematical optimization and deep learning. The developed numerical tools will allow to evaluate complex scenarios by significantly reducing measures and real experiences. Thus we will get a big gain regarding time and cost.

From Vision to Reality: Objectives Driving the I-Maroc Project

Design and deploy Computational Modelling systems for health and the environment , jointly integrating advanced methods of artificial intelligence of artificial intelligence and applied mathematics.

Study the links between deep learning and mathematical optimization.

Evaluate virtually, in the context of decision support, scenarios integrating integrating aspects related to health, the environment and urban mobility. urban mobility.

Obtain a significant gain in time and cost compared to conventional methods of investigation and field studies.

Inside I-Maroc: A Peek into the Project's Organizational Structure

Workpackage 1 : « EPIMATINF »

Mathematical and Computer Epidemiology.

Workpackage 2 « EAUENV »

"Computational Modeling for Water and Environmental Management".

Workpackage 3 « MOBPOP »

Urban and Inter-Urban Mobility Modelling

Workpackage 4 « SYSTINF »

Integration of Simulation Tools in an Information System :
Numerical simulation software with ergonomics adapted for non-specialist users, accessible via an online platform. The software will have a compatibility at the level of the inputs and outputs which will make it possible to couple them according to the principle of the co-modeling (cf interrelations between the WPs)