News  >  Events

AI & Cities at AMLD

Co-organized by the dhCenter UNIL-EPFL, this track will offer a discussion platform for both urban theorists and urban practitioners. By integrating the urban perspectives of researchers, private companies and the public sector, we want to foster a dialogue centered around the real challenges facing cities around the globe today.

By 2050, 66 percent of the world population will live in urban areas. This urbanization and the increasing densification of metropolitan areas will lead to various challenges. The emergence of the Smart Cities paradigm aims at using technological advances to equip cities around the globe with the tools to tackle issues like transportation, housing, flood protection and many more. Within this framework, AI is a key factor: from empowering self-driving fleets to predicting dangerous gas leaks, autonomous and self-learning systems will become more and more important to urban life. Beyond city operations, AI will also be key to urban society: To understand collective human behaviors in urban contexts is of crucial importance for implementing social and planning policies that will reduce the risk of conflicts and foster cooperation between individuals, groups and communities.


  • Kamil Kaczmareh, product owner, and Reinforcement Learning Research Tensor Cell (PL);
  • Kiran Zahra, PhD student at the University of Zurich (CH);
  • Roger Fischer, Founder and CEO, Datamap (CH);
  • Doori Oh, PhD student, University of Georgia in Athen (US);
  • Ran Goldblatt, Chief scientist, New Light Technologies (US);
  • Martí Bosch, PhD student, EPFL (CH);
  • Roman Prokofyev, Chief scientist, FAIRTIQ (CH);
  • Dmitry Kudinov, Senior principal data scientist, ESRI (US);
  • Camille Lechot, Junior software engineer, ESRI (CH);
  • Ellie Cosgrave, Lecturer, University College London (UK);
  • Javier Pérez Trufero, Head of data, CARTO (SP);
  • Layik Hama, Researcher, University of Leeds (UK);
  • Hoda Allahbakhshi, PhD student, University of Zurich (CH);
  • Marta Gonzalez; Associate professor, University of California Berkeley (US);
  • Valéry Fischer, Machine learning engineer, Datamap (CH);
  • Emmanouil Tranos, Reader in quantitative human geography, University of Bristol (UK);
  • Jens Kandt, Lecturer, University College London (UK);
  • Yussuf Said Yussuf, Head pilot and trainer and Drone lab coordinator, Tanzania Flying Lab (TZ);
  • Nyalleng Moorosi, Software engineer, Google AI (GH);
  • Nick Lucius, Chief data officer, City of Chicago (US).


  • Konstantin Klemmer, PhD student, University of Warwick (UK);
  • Shin Alexandre Koseki, Scientist, EPFL (CH);
  • Eun-Kyeong Kim, Scientist, University of Zurich (CH);
  • Nick Jones, Data scientist, The Work Bank (US).
From: 28 Jan, 2020
To: 28 Jan, 2020
The UNIL-EPFL dhCenter ceased its activities on December 31, 2022. The contents of this site, with the exception of our members' pages, are no longer updated. Thanks to all of you for having kept this space alive! More information