Call for Papers

As cities worldwide are becoming increasingly interconnected and technologically advanced, it is crucial to explore the implications of algorithmic decision-making and AI applications on urban environments. The proposed workshop aims to delve into the profound influence of algorithms (AI in particular), platforms and services on the structure and dynamics of the urban ecosystem. In particular, the workshop aims to foster studies on the interplay between algorithms/AI/platforms/services and human mobility flows, points of interest, road network structure, and mobility services within the urban environment.

This workshop will bring together experts from different disciplines to discuss challenges and opportunities related to the study of the impact of algorithms and AI on the urban ecosystem and its well-being. By participating in this workshop, attendees will gain a comprehensive knowledge needed to navigate the challenges and opportunities presented by these technologies in their respective communities.

Various facets of data analytics align with the objectives of this workshop, encompassing, but not confined to:

  • Exploration of the impact of Vehicle Routing and Alternative Routing on urban traffic flow.
  • In-depth analysis of routing algorithms influencing transportation efficiency.
  • Understanding the structure and dynamics of road networks and their implications for urban planning.
  • Evaluation of the impact of ride-hailing, car-sharing, and carpooling services on urban mobility.
  • Examination of algorithmic principles governing recommenders in these transformative transportation services.
  • Insights into the advancements and impact of autonomous driving technology.
  • Strategies for effective management of taxi fleets in the context of evolving transportation paradigms.
  • Investigation into the role of recommenders in real estate platforms and their broader impact on urban development.
  • Exploration of location prediction principles and their influence on the urban ecosystem.
  • Analysis of flow generation and prediction techniques and their consequences on urban dynamics.
  • Assessment of Points of Interest attractiveness and its correlation with urban mobility patterns.
  • Understanding the concept of Mobility-as-a-Service and its potential impact on urban transportation.
  • Forecasting urban, maritime, and aviation traffic flows, including travel time prediction.
  • Strategies for integrating mobility data with broader societal datasets.
  • Examination of Geo-social networks and their role in shaping urban connectivity.
  • Application of social computing in urban contexts and its influence on spatial epidemiology.
  • Optimization of urban resources allocation (e.g., energy, water, electric chargers, parking slots).
  • Insights into COVID-19 contact tracing methodologies and their ethical considerations.
  • Exploration of the philosophical and ethical dimensions surrounding mobility data analytics.
  • Deliberation on privacy issues related to the collection and utilization of mobility data in urban environments.

MAURO workshop acknowledges the support of the following EU Horizon projects and organizations:

  • Green.Dat.AI (Energy-efficient AI-ready Data Spaces, EU Horizon Programme, 2023-25)
  • SoBigData++ (European Integrated Infrastructure for Social Mining and Big Data Analytics, EU H2020 Programme, 2020-24)
  • URBAI (Urban Artificial Intelligence), finanziato dal PNRR (Piano Nazionale di Ripresa e Resilienza) nell’ambito del programma di ricerca 20224CZ5X4_PE6_PRIN 2022, CUP B53D23012770006, Finanziato dall’Unione Europea - Next Generation E

Important Dates

    Paper submission

    April, 19th, 2024 (AoE)

    April, 26th, 2024 (AoE)

  • Authors notification

    May, 3rd, 2024 (AoE)

  • Camera-ready due

    May, 12th, 2024 (AoE)

  • Workshop day

    June, 24th, 2024

Submission guidelines

We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or submitted to a journal or a conference with proceedings. Submitted papers must be maximum 6 pages long (including references) and should report original research results or significant case studies. Submissions should be formatted using the MDM 2024 camera-ready template and submitted through the workshop submission system. All submitted papers will be peer reviewed by at least two reviewers. If accepted, at least one of the authors must attend the workshop to present the work. All accepted papers will be published in the proceedings of the 2024 International Conference on Mobile Data Management and included in the IEEE Xplore® digital library.

Submission link: all papers must be submitted using Microsoft CMT through the following link:

Organizing committee

Eva Chondrodima, University of Piraeus, Greece, evachon[at]

Giuliano Cornacchia, University of Pisa, ISTI-CNR, Italy, giuliano.cornacchia[at]

Giovanni Mauro, University of Pisa, ISTI-CNR, Italy, giovanni.mauro[at]

Mirco Nanni, ISTI-CNR, Italy, mirco.nanni[at]

Luca Pappalardo, ISTI-CNR, Italy, luca.pappalardo[at]

Chiara Pugliese, University of Pisa, ISTI-CNR, Italy, chiara.pugliese[at]

Program committee

  • Nicklas Andersen, IMADA, Denmark
  • Maria Luisa Damiani, University of Milan, Italy
  • Steffen Knoblauch, Heidelberg Institute for Geoinformation Technology, Germany
  • Fatme Hachem, University of Milan, Italy
  • Giulio Loddi, IMT Lucca, ISTI-CNR, Italy
  • Francesco Lettich, ISTI-CNR, Italy
  • Kostas Patroumpas, IMIS - Athena Research Center, Greece
  • Fabio Pinelli, IMT Lucca, ISTI-CNR, Italy
  • Nikos Pelekis, University of Piraeus, Greece
  • Dieter Pfoser, George Mason University, USA
  • Guido Rocchietti, University of Pisa, ISTI-CNR, Italy
  • Nicklas Sindlev Andersen, University of Southern Denmark, Denmark
  • Amilcar Soares, Linnaeus University, Sweden
  • Konstantinos Tserpes, Harokopio University of Athens, Greece
  • Dimitrios Zissis, University of the Aegean, Greece


MAURO 2024 takes place at Université libre de Bruxelles (Solbosch Campus)

Workshop rooms: R42.5.110, R42.5.103, R42.5.107

09:00-09:10 Introduction to MAURO2024

09:10-10:00 First session

Spatio-temporal Idle Routing for Green Mobility (20' presentation + 5' Q&A)

Christine Bassem (Wellesley College Wellesley)

Efficient Task Allocation and Path Planning for Unmanned Surface Vehicle in Supply Chain (20' presentation + 5' Q&A)

Elias Xidias (University of the Aegean), Dimitrios Zissis (University of the Aegean)

10:00-10:30 Invited speaker @ GenAI4MoDA

11:00-11:50 Second session

Leveraging trajectory simplification for efficient map-matching on road network (20' presentation + 5' Q&A)

Tsukasa Ishiguro (Toyota), Tateyuki Sasai (Toyota), Shintaro Fukushima (Toyota), Sei Kato (Toyota)

A Preliminary Investigation of User- and Item-Centered Bias in POI Recommendation (20' presentation + 5' Q&A)

Marco Minici (CNR, Italy), Giovanni Mauro (University of Pisa), Chiara Pugliese (University of Pisa, ISTI-CNR)

11:50-12:20 Invited speaker @ CDF4MD

12:20-12:30 Conclusion and final remarks