Transitions through the Lens of Digital Technology, Computing, and Mathematics
2025/01/20 – 2025/01/24
This thematic week is part of the Graduate Program Numerics.
Description
The week will examine a number of transitions currently underway, whether environmental, energy-related, economic or societal in nature.
The objective is to provide participants with an understanding of a range of topics related to transitions, including environmental, energy, economic and societal issues. Discussions will focus on the potential contributions, impacts and limitations of digital technology, computing and mathematics.
Four topics will be discussed:
– Topic A : Investigating the digital transformation of the society and its impact.
– Topic B : Discovering how computing methods may help addressing some of the challenges associated with the transition to sustainable energy sources.
– Topic C : Exploring the environmental impact of AI and ways to reduce its carbon footprint.
– Topic D : Exploring models to support biodiversity conservation and management.
Target audience
This week is aimed at Master 2, engineering school and doctoral students in the fields of mathematics, computer science and data science.
Schedule
Mornings: scientific presentations introducing and exploring one of the above topics (below are the details of the talks:
- Topic A: Digital technology
– Recommendation systems: functioning, role and impact in the digital ecosystem of our society
– Digitalisation of agriculture - Topic B: Energy
– Renewable energies: focus on marine and wind energy
– Transmission and generation expansion planning problems: challenges, modeling and solutions
– Scheduling demand response in energy communities with distributed generation and storage - Topic C: Artificial intelligence
– Green and frugal AI
– Optimizing Memory Usage when Training Deep Neural Networks - Topic D: Biodiversity
– Modelling the effect of global warming on high altitude tree species
– Modeling species spatial distributions in ecology
Afternoons: collaborative project work with practical and methodological guidance from one or more tutors, aimed at delving deeper into a specific topic relevant to the theme (five half-days)
| Lundi 20/01 | Mardi 21/01 | Mercredi 22/01 | Jeudi 23/01 | Vendredi 24/01 |
| — Topic A — | — Topic B — | — Topic C — | — Topic D — | |
| 8h30 – 9h00 Introduction of the week + coffee 9h00 – 11h00 Recommendation systems: functioning, role and impact in the digital ecosystem of our society (G. Lagarde) | 8h30-10h00 Transmission and generation expansion planning problems: challenges, modeling and solutions (A. Froger) | 9h00-10h30 Green and frugal AI (A. Vincent) | 9h00-10h30 Modeling the effect of global warming on high altitude tree species (V. Couaillier) | 9h00-12h30 Collaborative project work + Internal presentation of the project work within each of the thematic groups |
| –Coffee break– | –Coffee break– | –Coffee break– | –Coffee break– | |
| 11h15–12h15 Modeling the direct carbon footprint of digital agriculture (P. La Rocca) | 10h20-11h20 Scheduling demand response in energy communities with distributed generation and storage (M. Sangaré) 11h30-12h30 Numerical modeling of marine and wind energy (M. Bergman) | 11h00–12h15 Optimizing Memory Usage when Training Deep Neural Networks (X. Zhao) | 11h00–12h15 Modeling species spatial distributions in ecology (A. Luis Luza) | Collaborative project work + Internal presentation of the project work within each of the thematic groups |
| —Lunch— | —Lunch— | —Lunch— | —Lunch— | —Lunch— |
| 13h30-17h30 Collaborative project work | 13h30-17h30 Collaborative project work | 13h30-17h30 Collaborative project work | 13h30-17h30 Collaborative project work | 14h00-15h00 Oral summary of the work carried out in each thematic group |