Govern responsibly
Frameworks, evidence and practical tools for transparent, fair and accountable AI and data use.
A research unit within FBK's Digital Society Center · Trento
We connect people, knowledge and technology to make digital innovation more open, accountable and useful to society.
01 / What we do
Digital Commons Lab is a research unit of FBK’s Digital Society Center. Our work moves between policy, communities and technology: studying how digital systems affect society, then building practical ways to govern them better.
Frameworks, evidence and practical tools for transparent, fair and accountable AI and data use.
Open data, maps and civic technologies that people and institutions can inspect, reuse and improve.
Participatory research that combines local knowledge, public institutions and technical expertise.
Data visualisation and digital twins that turn evidence into a shared basis for decisions.
Work with us
We team up with public institutions, research organisations, communities and companies to develop funding proposals on digital commons, open data, responsible AI, civic technology and data governance.
Talk to us about a call ↘02 / Current projects
We work to create digital commons that help society improve.
Horizon Europe · Knowledge valorisation
An open, AI-supported toolbox helping researchers and knowledge-transfer professionals move research results towards real-world use.
Climate · Digital twins
Environmental data and simulation for urban green spaces, climate resilience and citizen engagement in Bologna.
Health data · Data governance
We work on data governance for an infrastructure that brings together clinical, health and environmental data for research and personalised medicine.
Education · AI governance
Practical learning programmes that help citizens and public servants understand how AI works, where it fails and how to use it responsibly.
In collaboration with the Autonomous Province of Trento ↗WebGIS · Social infrastructure
An interactive territorial atlas for exploring co-presence, local vitality and social infrastructure across Povo, Trento.
Project archive
Methods, data and software from previous projects remain available to visit and reuse.
Ethical and transparent AI frameworks for public administration.
Street-level imagery and AI for open urban-infrastructure data.
Local knowledge and technology for sustainable rural logistics.
Open data and digital tools for smarter waste collection.
Open visualisations of the pandemic in Trentino.
A historical exploration of Trentino emigration.
Mapping the width and accessibility of Italian pavements.
Car and bicycle parking availability in Trento.
Making the value of individual urban trees visible.
03 / Products, maps & data
Tools, maps and visual work that make research easier to discuss, challenge and use.

Identifying heat patterns to support urban climate adaptation.

Reading the road network through cyclists’ perceived stress.
Open the map ↗
Exploring Trentino emigration through historical data and maps.

A structured canvas for planning, designing and deploying ethical AI solutions in public administrations.
Explore the canvas ↗04 / Publications
A selection of recent publications involving members of the group, spanning digital commons, responsible AI, urban data and open mapping. Newest first.
05 / Team
Researchers, technologists and social scientists working across data, law, design and participation.

Head of Unit
Leads Digital Commons Lab and has spent over two decades working on OpenStreetMap, open data and open source within FBK's Digital Society Center. Also serves on the Board of the OpenStreetMap Foundation.
Postdoctoral researcher
Data scientist researching AI and data governance, with a background in applied mathematics and physics and previous experience leading data-governance projects at Cineca.

Postdoctoral researcher, AI & Data Governance
Studies how AI and data regulation play out in practice — from the EU AI Act's research exemptions to terms-and-conditions contracts — and helped build the AI Ethics Canvas used by public administrations to design responsible AI.
PhD researcher
PhD researcher contributing to the lab's work on responsible AI and civic technology.
AI engineer
AI engineer building and maintaining the models, pipelines and tools behind the lab's AI-powered projects.

Intern & thesis student
Researching how Italian cities comply with the 3-30-300 urban greenery rule — 3 visible trees, 30% canopy cover, a park within 300m — measuring compliance address by address using orthophotos, OpenStreetMap and computer-vision tree detection.
Intern & thesis student
Builds UrbanScope3D, a web-based 3D visualisation tool that combines city models with environmental data layers to explore urban dynamics.
ARCADIA project reviewer
Supports the review process for ARCADIA, the lab's Horizon Europe toolbox helping researchers and knowledge-transfer professionals move research results towards real-world use.
06 / Alumni
People who worked and studied with us, contributing to the lab’s projects, methods and community.
Join us
We welcome students who are eager to get involved and build something that interests both them and us. An internship can begin with one of our proposals or with your own idea and develop into a thesis, a scientific publication, a project or a new digital commons.
If this way of working appeals to you, contact us and tell us what you would like to do.
Students, interns and thesis students
Social vulnerability to extreme heat, heat islands and climate shelters
Data-driven tools for planning urban tree-planting strategies

AI regulation, public administration and citizens' rights
Participatory cycling improvement and project coordination
GIS-based environmental sustainability assessment of alpine huts
E-scooter mobility data and urban transport analysis in Trento
Historical mobility, migration data and digital mapping
Open mapping and cycling infrastructure analysis
Former workers and collaborators

Open data policy, civic participation and data communities

Data governance and responsible digital innovation

Open-source Web GIS, geospatial data and interactive visualisation

Cycling network analysis and infrastructure-improvement priorities

Collaborative knowledge, online communities and computational social science
Remote sensing, open geospatial data and machine learning for urban and environmental mapping
Data governance, dataspaces and Internet governance research
07 / Contact
Digital Commons Lab
Digital Society Center
Fondazione Bruno Kessler
Via Sommarive 18
38123 Trento, Italy