The SMART-map project provides innovators with tools  that will help them meet society’s needs, concerns and expectations on new technologies. A roadmap towards responsible innovation.

It pioneered a participatory method that enabled innovators, civil society organisations, and other stakeholders to design this new tools together.

It tested these SMART Maps in actual industrial settings, ensuring that innovators can use them easily within their existing processes.

Funded by the European Commission under the
Horizon 2020 Framework Programme.


September 28th 2018

#futureRRI is the hashtag of the final conference of SMART-map, which on Monday 1st October 2018 will discuss 3 “SMART Maps”

September 6th 2018

The third multistakeholder workshop has been planned on 6th September in Pavia

May 31st 2018

The RRI tools selected through the Industrial Dialogues have been tested in three different contexts

March 28th 2018

Participants from different sectors will compare approaches and experiences in the field of responsible innovation

Synthetic Biology

Synthetic Biology has the potential to transform the industrial landscape and lead to more sustainable manufacturing. But public acceptance is essential for its commercial and societal viability.

Precision Medicine

Several industries are pioneering technologies that will change the way genomics is impacting on medicine. As the market grows and public health services explore new possibilities, the role of citizens is also changing.

3D Printing in the biomedical field

Thanks to 3D printing, biomedical devices and consumables can be custom-made, tailored to the needs of a single patient. Products can be developed on the spot, fostering bottom-up approaches in which patients have an unprecedented key role.


RRI roadmaps and the goal of the project

The aim of SMART-map (RoadMAPs to Societal Mobilisation for the Advancement of Responsible Industrial Technologies) was to define and implement concrete roadmaps (SMART Maps) for the responsible development of technologies and services in three key time-changing fields. It builds on the Responsible Research and Innovation (RRI) approach promoted by the European Commission. This approach asks innovators to take into account potential implications and societal expectations in their work, and to adapt their business process accordingly.

The project  aimed to reach its ambitious goals by developing a new format for open and collaborative dialogues between industry and societal actors (Industrial Dialogues) which allowed the co-design of the roadmaps. Based on the Societal Challenges of Horizon2020, SMART-map addressed the areas of precision medicine, 3D printing in the biomedical field, and synthetic biology.

Stakeholders selection
Industrial dialogues
Industries training
Smart maps

The calendar of the events

2016 2017 2018
May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct

The partners and the geography of the project

SMART-map partners represent a diverse range of backgrounds both in terms of topics and in terms of professions: social scientists, life scientists, journalists and managers who all have experience in interacting with industries.

  1. Aarhus Universitet (Coordinator)
    Aarhus, Denmark
  2. Közép-európai Egyetem
    Budapest, Hungary
  3. Fondazione Giannino Bassetti
    Milan, Italy
  4. Formicablu srl
    Bologna, Italy
  5. Fraunhofer Gesellschaft
    Karlsruhe, Germany
  6. Instituto de Medicina Genómica
    Valencia, Spain
  7. Manchester Metropolitan University
    Manchester, UK
  8. University of Manchester
    Manchester, UK
  9. Zentrum für Soziale Innovation GmbH
    Wien, Austria

SMART-map addressed the areas of precision medicine, 3D printing in the biomedical field, and synthetic biology. On each of these areas we paired two regions of Europe, on the North/South and East/West axes, and the unique partnership enabled a comparative assessment of these innovation fields.


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