1. From smart city to data-driven city 2. Governance, decision-making, and strategy for urban development 3. Data Science technologies 4. Roadmap to develop a data-driven city 5. Enabling technologies for data-driven cities 6. Data analysis, modeling, and visualization in smart cities 7. Data-driven policy evaluation
Didier Grimaldi, PhD is Associate Professor at the La Salle-Ramon Llull University, Barcelona, Spain. His scholarly interests span novel forms of innovation to develop new or existing businesses by analyzing different models of public-private governance, which offer a more active role to the citizens. Dr. Grimaldi's research focuses on evaluating the real effect of emerging technologies (big data, Internet of Things, drones, social media, etc.) to promote new services for citizens that improve their quality of life.
Carlos Carrasco-Farré in the Department of Operations, Innovation and Data Science at ESADE Business School, Barcelona, Spain. His research interest is in human-machine interactions and decision-making. More specifically, his research focuses in computational social science, the intersection of technology (artificial intelligence, machine learning, data science) and society (management, decision-making and strategy). He has contributed to various academic and nonacademic publications and books on economics, management, and urban strategy.