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## Section: Partnerships and Cooperations

### National Initiatives

#### ANR Project SIM

The ANR SIM (Smart IoT for Mobility) is a PRCE project co-funded by ANR (AAPG 2019) and DGA for 42 months. The national coordinator is the LEAT (UMR CNRS) and the other partners are Renault Software Labs and Symag. The goal is to provide a formal meta-language to describe smart contracts that can be used in the context of an autonomous vehicles to provide services to the users. The services are related to the combined use of multi-model transportation systems by having a single smart contracts that can enforce all the intermediate transactions with all the actors involved (car manufacturing, parking lease, highway toll companies, insurances, bike rental companies).

#### Competitivity Clusters

The Kairos team is involved in the actions of the cluster SCS (Systèmes Communicants Sécurisés) and Frédéric MALLET is elected in the steering committee of SCS. One of the more prominent action is to build, in partnership with University Aix-Marseille, a Digital Innovation Hub, to open the access (with actions of transfer and valorization) to Digital Innovations for companies that would benefit from it, like public institutions (hospitals, human resources, employment institutions) or private companies that could use IoT for agriculture, tourism, smart infrastructures (harbours, buildings, cities).

#### CNRS GDRs

We are registered members of three GDR funded by CNRS : SoC${}^{2}$, on topics of Hardware-software codesign and Non-Functional Property modeling for co-simulation; LTP, on verification and language design for reactive CPS systems; GPL, on software engineering and Domain-Specific Languages.

#### PAI ES3CAP

ES3CAP (Embedded Smart Safe Secure Computing Autonomous Platform) is a PIA (Programme d'Investissements d'Avenir) project. Its budget is of 22.2MEuros, over 36 months. The national coordinator is Kalray, and other partners include Safran, Renault, and MBDA. The objectives of the project are to:

• Build a hardware and software industry-grade solution for the development of computation-intensive critical application. The solution should cover the needs of industrial end users, and target multi/many-core hardware platforms. The solution will come with 3 to 6 usage profiles specific to various industries (automotive, aerospace, defence)

• Improve the technology readiness level of the proposed development flow from TRL4-5 (technology development) to TRL6-7, thus approaching as much as possible commercialization.

• Build an alternate, perennial ecosystem for critical real-time OSs and development tools for computer vision, data fusion and neural networks. The tools and components must be available on a prototyping and demonstration platform that is safe and secure.

• Capitalize on the convergence between the automotive and aerospace markets on subjects such as security, safety, decision making, and big data.

Our technical contributions to this project are described in 7.16. This project partially finances Hugo Pompugnac's PhD and Jad Khatib's post-doc.