News and Events

13-05-2026 - MoST at Urban Digital Futures 2026

Our research unit participated in the workshop "Futuri Digitali Urbani 2026" held at Politecnico di Milano on May 12-13, 2026, co-organized by Luca Gaeta, Carolina Pacchi, Otello Palmini, and Marco Pistore.

The two-day event explored how digital technologies are transforming urban spaces, bringing together experts from philosophy, urban planning, sociology, design, and computer science.

During the workshop, Marco Pistore chaired the third session on "Perceptions of the Cybernetic City", and Maryam Sajedinia presented her doctoral research on measured and lived city perspectives at the poster session.

Link

04-05-2026 - Civic-Digital-Twins version 0.9.0 is out!

v0.9.0 brings typed, named axes to the Civic-Digital-Twins framework, making it easier than ever to build and evaluate flexible digital twin models across any combination of scenarios, parameters, and uncertainty dimensions.

Link

22-04-2026 - Workshop on AI compliance at FBK

As MoST, we are proud to participate in the workshop focused on AI compliance and reliability organized by Digital Society Center at Fondazione Bruno Kessler.

The rapid expansion of artificial intelligence brings a critical challenge to the forefront: How do we guarantee that AI systems are reliable, and fully aligned with legal standards?Today, compliance is far more than a regulatory obligation-it is a fundamental pillar for ensuring that innovation is both high-quality and sustainable.

Link

21-04-2026 - Internship Opportunities Now Open

We are offering curricular internship opportunities for motivated students eager to work on cutting-edge urban research projects.

Example topics include:

• Urban mobility modeling and analysis: explore traffic patterns using data-driven models
• Urban environment characterization and analysis: analyze cities through geospatial and network data
Additional topics can be discussed based on the candidate's interests and alignment with the group's research activities.

These internships provide hands-on research experience, collaboration with interdisciplinary teams, and opportunities to contribute to scientific publications. For more details, please refer to the link below.

Link

20-04-2026 - PhD Opportunities - Join Our Research Group!

We are offering two fully funded PhD positions within our research group:

• C5 - Modeling and Simulation of Urban Digital Twins
  Application deadline: 15 May 2026
• Cognitive and Motivational Mechanisms for Active Citizen Engagement in Urban Digital Twins
  Application deadline: 21 May 2026

Both positions are hosted directly within our research group, ensuring that PhD candidates are fully integrated into a collaborative environment and actively involved in daily research activities.

For more details, please refer to the link below.

Link

12-04-2026 - Our Work Accepted at SIS-FENStatS 2026

We are pleased to announce that our team has been accepted to present our work at the SIS-FENStatS 2026 Conference at Sapienza University in Rome (June 22-25).

Our contribution, "Differentiated Imputation of Sporadic and Clustered Missing Values in Traffic Time Series", introduces a novel methodology that distinguishes between isolated and clustered missing data in time series and implements novel imputation techniques tailored for these missing data type.Validated on real traffic data, our approach applies tailored imputation strategies, improving accuracy over standard techniques and offering a scalable solution for traffic data analysis.

Link

05-03-2026 - Fast Traffic Simulator v0.1.0 is out!

We are pleased to announce the release of Fast Traffic Simulator, a new microscopic traffic simulator designed for directed road networks.

The library simulates individual vehicles travelling across a road network from origin to destination,allowing users to study traffic dynamics, congestion, and routing behavior. It supports dynamic routeupdates and realistic vehicle movement.

The library is easy to use: all it takes to get it up and running is the time-varying traffic demand and the list of nodes and edges of the network.

Link