MAURO 2024 - 1st International Workshop on Impact of Algorithms and Services on the Urban Ecosystem

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.