Data challenges

Challenges 2022

Challenges are proposed by public services, companies or scientific laboratories, and are based on real-life problems. Participants submit the results of their classification or prediction algorithms, which are then put into competition via the website. The challenges are integrated into Pr Stéphane Mallat's course at the Collège de France, and are offered as part of many data science courses in France and the French-speaking world.

The 2022 edition has now been launched with twelve new challenges, organized in partnership with the École normale supérieure and the Institut Louis Bachelier.

Bankers and Markets

Presented by Olivier Croissant of Natixis

Can You Predict the Tide?

Presented by Simon Coste for Louis Thiry, INRIA (Rennes) and Ifremer (Brest)

Data Centric Movie Reviews Sentiment Classification

Presented by Maxime Duval of Kili Technology

Learning Biological Properties of Molecules from their Structure

Presented by Aymeric Basset for Robert Fraczkiewicz of Simulations Plus

Learning Factors for Stock Market Returns Prediction

Presented by Adrien Hardy of QRT

Predicting Odor Compound Concentrations

Presented by Yannick Deleuze of Veolia

Prediction of Missing Bid-Ask Spread Values

Presented by Romain Picon of CFM

Real Estate Price Prediction

Presented by Louis Boulanger of Institut Louis Bachelier

Return Forecasting of Cryptocurrency Clusters

Presented by Hugo Schnoering of Napoleon X

Semantic Segmentation of Industrial Facility Point Cloud

Presented by Guillaume Terrasse of EDF R&D

Solar Forecasting Using Copernicus Radiation Images

Presented by Philippe Blanc, MINES ParisTech, PSL Research University

What Do You See in the Stock Market Data?

Presented by Iris Lucas, AMF company