The D2C initiative welcomes academics and industrialists of the field to facilitate exchanges, create a bond of trust and pave the way for future collaborations.

It is set up in order to identify in advance the priority research issues of researchers and the problems of industrialists and to make them converge. The contacts and collaboration opportunities proposed are then closely monitored until they are set up and launched.

The typical D2C program is organised around :

• Pitches to enable researchers and industrial experts to get to know each other better and present their respective prospective subjects before meeting;
• Small round tables to exchange and formalise an action plan around common needs;
• Individual meetings to address more specific needs for bilateral collaborative projects.

This initiative is part of the ambition to facilitate the setting up of several levels of collaboration and to create a constructive dynamic:

1. Expertise / student projects / internships
2. Research collaborations / CIFRE thesis
3. Common laboratoires / common teams
4. Multi-partner chairs

• D2C ML NLP: new ML and DL models associated to NLP tools

• D2C ML Medical computer vision: ML modelling to optimize bio-markers selection

• D2C Ethics and AI: How to evaluate Ethics' ROI

• D2C Causality: How to evaluate quality and strength of causal modelling

• D2C RGPD Privacy: RGPD applications. Access to privacy ML and fairness

• D2C ML for biomarkers: ML modelling to optimize bio-markers selection

• D2C mobile services: prediction and behaviour analysis

• D2C interface and data visualisation: progressive data analysis

Invitations to the D2Cs are private and targeted, in order to guarantee an excellent level of expertise and balanced exchanges and thus best meet expectations.
If you wish to participate in the initiative, please contact Eric Tordjeman, head of industrial partnerships.