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Smarter Cities and Societies: What We Can and Cannot Optimize For

Participating journal: EPJ Data Science

Digital, information and communication technologies, together with Big Data, the Internet of Things, and Artificial Intelligence, are reshaping almost every aspect of our societies. From traffic to logistics, from mobility to smart cities and societies, much of this gears towards more predictability, controllability, and automation, using digital twins and many other approaches. Optimizing performance, sustainability, resilience, and health are often stated goals. But what roles will complexity and collective intelligence, democracy and human rights, ethics, agency and freedom, co-creation and co-evolution play? And how can scientific disciplines – from data science and complexity theory to computational social science, network analysis, transportation modeling, game theory, and agent-based as well as AI-driven models – contribute to understanding these challenges and to shaping future solutions?

This special collection seeks to reflect on recent advances in these fields and explore visions for the future. It will provide a platform for critical reflection on the scientific methodologies and technological strategies currently driving our world. We invite inspiring contributions that provoke innovative thoughts and stimulate rigorous debate on the future trajectory of these technologies and the socio-technical systems that are expected to result from them.

Submission Information: Submissions to this collection are by invitation only. Authors should select the appropriate collection “Smarter Cities and Societies: What We Can and Cannot Optimize For” under the “Details” tab during the submission stage.

This collection supports United Nations SDG 9: Industry, Innovation & Infrastructure, United Nations SDG 10: Reduced Inequalities, United Nations SDG 11: Sustainable Cities and Communities and United Nations SDG 17: Partnerships for the Goals

Participating journal

EPJ Data Science is an open access journal focusing on new scientific methods for analyzing and synthesizing massive data sets to achieve new insights into societal phenomena Covers...

Editors

  • Dr. Efrat Blumenfeld

    Dr. Efrat Blumenfeld

    Professor Efrat Blumenfeld Lieberthal is an architect and researcher specializing in urban complexity, smart cities, and transportation systems. She is a former head of the Azrieli School of Architecture at Tel Aviv University. Her work integrates complexity theories, AI-based urban planning, and smart mobility solutions. With a focus on traffic flow optimization and simulation models, she explores innovative strategies for sustainable, data-driven city planning and transportation management.
  • Dr. Anna Carbone

    Dr. Anna Carbone

    Full Professor at the Politecnico di Torino, Italy. Her research deals with the modelling of stochastic processes in a multidisciplinary context. She is author of several articles and serves as editor in international journals in the area of Complex Systems. She has been appointed Board Member of the Nonlinear and Statistical Physics Division of the European Physical Society from 2009 to 2015. She has been an associated researcher at the Institute of Complex Systems of the National Research Council (ISC CNR Italy), Boston University (USA) and ETH Zurich (CH).
  • Dr. Iain Couzin

    Max Planck Institute of Animal Behavior, Germany
  • Dr. Santo Fortunato

    Dr. Santo Fortunato

    Santo Fortunato is a Professor at Luddy School of Informatics, Computing, and Engineering of Indiana University. Prof. Fortunato got his PhD in Theoretical Particle Physics at the University of Bielefeld In Germany. His focus areas are network science, especially community detection in graphs, computational social science and science of science. His research has been published in leading journals and has collected over 49,000 citations. Fortunato received the Young Scientist Award for Socio- and Econophysics 2011, he is Fellow of the Network Science Society (2022) and of the American Physical Society (2022).
  • Dr. Carlos Gershenson

    SUNY Binghamton, USA
  • Dr. Carina I. Hausladen

    ETH Zurich, Switzerland
  • Dr. Dirk Helbing

    ETH Zurich, Switzerland
  • Dr. Cesar Hidalgo

    Toulouse School of Economics, France
  • Dr. Sachit Mahajan

    ETH Zurich, Switzerland
  • Dr. Viktoria Spaiser

    Dr. Viktoria Spaiser

    Viktoria Spaiser is Associate Professor in Sustainability Research and Computational Social Science in the School of Politics and International Studies, University of Leeds, United Kingdom. She holds the prestigious UKRI Future Leaders Fellowship award, researching how social change in response to climate change can be accelerated. In her work she combines experimental behavioural science, computational social science and climate politics approaches. She is also interested in the role of AI in facilitating social change for climate change mitigation and adaptation and is part of a global research network working on Global Tipping Points.

Articles

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