The second SMART-map Annual Meeting was successfully completed in Rome

May 3rd 2018 events

On 23 April 2018, the SMART-map consortium met in Rome for the second Annual Meeting of the project. The event was joined also by three RRI Angels (Agnes Allansdottir, Arie Rip and Mélanie Marcel) and two representatives of SMART-map sister projects, Katharina Jarmai from COMPASS and Andrea Porcari from PRISMA.

During the first part of the meeting, the members of the consortium presented updates on the three pilots. The synthetic biology pilot has taken place in the UK and involved several companies that participated in the Manchester Industrial Dialogue. The chosen tool for the pilot is a repository of learning cases. The pilot on Precision Medicine was carried out by IMEGEN along with Aarhus University and it was focused on a specific DNA sequencing technique. The chosen RRI tool has been an advisory panel, involving patients and doctors. The company who has participated in in the 3D Med pilot is Sintea PLUSTEK s.r.l., an SME producing medical devices implants and coordinator of the SYMBIONICA project. The tools were an RRI training and multi-stakeholder workshop. After this introduction, participants were involved in World Café activities where they analysed the contribution of the pilot activities to the final SMART Maps.

In the second part of the meeting, plenary sessions were devoted to discuss whether the pilots can be considered an example to be followed by other companies. Katharina Jarmai and Andrea Porcari presented they experiences from COMPASS and PRISMA and participants debated on differences, commonalities and potential synergies among the three projects. Interesting points emerged also during the final discussion on drafting and communicating the final SMART Maps. The Advisory Board members provided very concrete and practical suggestions, that take into consideration the main target of the project: the industrial actors.


Project Coordination
prof. Francesco Lescai,
Aarhus University

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This project has received funding from the European Union’s Horizon 2020 Framework Programme for research and innovation, under grant agreement no. 710500