Federico Bartolomucci

Federico is a junior assistant professor in management engineering at Politecnico di Milano, the largest technical university in Italy, where he conducts research within the TIRESIA research group. He specialises in social innovation, social impact measurement, and data in the social economy. Currently, he’s focused on the intersection of cross-sectoral partnerships, innovation ecosystems, and data.

Achievements include

• Co-chair of the special group created by the EU Commission on the Code of Conduct for Data Sharing and Use in the Social Economy
• Visiting scholar at the Massachusetts Institute of Technology
• Won the 2022 European Microcredit Network Best Research Award for FintechforGood: unveiling social value creation in the fintech sector

In my own words… 

We need to recognise and embrace the value of social innovation in how we design, use and share the results of data science and AI algorithms. To rethink how we manage these incredible practices and the data behind them, and empower citizens, social innovators and civil society to use these practices for good.

We should also embrace social innovation methodologies in data science practices, for instance making them accessible, allowing a plurality of stakeholders to take part, breaking the barriers to data exploitation, understanding collection and sharing, and making data interpretation participatory.

I hope the Datavysts network shows that a different way of dealing with AI and data science is possible — and that when it’s done in the proper way, it can bring great societal benefits.