Track / Overview

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. 

Track / Schedule

Urban Computing for Sustainable Urban Systems

With Marta Gonzalez

POSMO – Mobility Tracking with Machine Learning

With Roger Fischer & Valery Fischer

Machine learning for travel mode detection

With Roman Prokofyev

Graph neural networks and reinforcement learning in traffic optimization in cities

With Kamil Kaczmarek

Using global positioning system to improve humans’ physical activity type detection in the urban environment

With Hoda Allahbakhshi

Knowledge graph construction for semantic trajectories and knowledge extraction in the context of mobility, place, and health

With Doori Oh


Location Intelligence in urban planning: Making better decisions with the use of human mobility data

With Javier Pérez Trufero

Integrating Gender Expertise into Urban Infrastructure Production

With Ellie Cosgrave

Digital Twins and Smart Cities – high frequency data for long-term urban policy?

With Jens Kandt

The Turing e-Atlas

With Layik Hama

Modelling clusters from ground up: a web data approach

With Emmanouil Tranos

Data and Cities: Experiences in Chicago and Roadmap to the Future

With Nick Lucius

Rocket, pocket and socket: Utilizing diverse data sources for smart and resilient cities

With Nyalleng Moorosi, Marta Gonzalez, Nicholas Jones & Ran Goldblatt

Automatic identification of eyewitness messages on Twitter during disasters

With Kiran Zahra

Trends of Machine Learning in Zanzibar, Tanzania subsequently Zanzibar Mapping Initiative

With Yussuf Said Yussuf


Understanding African Cities through Remote Sensing

With Nyalleng Moorosi

Deep Learning for feature extraction from point clouds

With Dmitry Kudinov

DetecTree: a Python library for tree detection from aerial imagery

With Martí Bosch

Predicting OSM Coverage by Means of Remote Sensing

With Ran Goldblatt

Building Modeling Optimization using Machine Learning

With Camille Lechot


With Konstantin Klemmer, Nicholas Jones, Shin Koseki & Eun-Kyeong Kim

Track / Speakers

Konstantin Klemmer

PhD Student, University of Warwick / NYU

Shin Koseki

Assistant professor, University of Montreal

Eun-Kyeong Kim

Postdoctoral Research Fellow, University of Zurich

Nicholas Jones

Data Scientist, World Bank / GFDRR

Kamil Kaczmarek

Product Owner, & Reinforcement Learning ResearcherTensorCell

Kiran Zahra

PhD Student, University of Zurich

Roger Fischer

Founder & CEO, Datamap

Doori Oh

Graduate Student, University of Georgia, Athens

Ran Goldblatt

Chief Scientist, New Light Technologies

Martí Bosch

PhD Student, EPFL

Roman Prokofyev

Chief Scientist, FAIRTIQ

Dmitry Kudinov

Senior Principal Data Scientist

Camille Lechot

Junior Software Engineer

Ellie Cosgrave

Lecturer, UCL

Javier Pérez Trufero

Head of Data, CARTO

Layik Hama

Researcher, University of Leeds

Hoda Allahbakhshi

PhD Student, University of Zurich

Marta Gonzalez

Associate Professor, University of California Berkeley

Valery Fischer

Machine Learning Engineer, Datamap

Emmanouil Tranos

Reader in Quantitative Human Geography, University of Bristol

Jens Kandt

Lecturer, University College London

Yussuf Said Yussuf

Head Pilot and Trainer/Drone Lab coordinator, TFL/SUZA

Nyalleng Moorosi

Software Engineer - Google AI

Nick Lucius

Chief Data Officer

Track / Co-organizers

Konstantin Klemmer

PhD Student, University of Warwick / NYU

Shin Koseki

Assistant professor, University of Montreal

Eun-Kyeong Kim

Postdoctoral Research Fellow, University of Zurich

Nicholas Jones

Data Scientist, World Bank / GFDRR

AMLD EPFL 2020 / Tracks & talks

AI & Climate Change

Lynn Kaack, Nikola Milojevic-Dupont, Nicholas Jones, Felix Creutzig, Buffy Price, Slava Jankin, Olivier Corradi, Liam F. Beiser-McGrath, Marius Zumwald, Eniko Székely, Max Callaghan, Soon Hoe Lim, Mohamed Kafsi, Daniel de Barros Soares, Matthias Meyer, Chris Heinrich, Emmanouil Thrampoulidis, Marta Gonzalez, Kristina Orehounig, David Dao, Bibek Paudel

13:30-17:00 January 2709:00-12:30 January 285ABC

AI & Humanitarian Action

Neil Davison, Max Tegmark, Carmela Troncoso, Alessandro Mantelero, Michela D'Onofrio, Francois Fleuret, Amina Chebira, John C. Havens, Marc Brockschmidt, Helen Toner, Dustin Lewis, Subhashis Banerjee, Netta Goussac, Volkan Cevher, Anika Schumann, Nadia Marsan, Massimo Marelli, Anja Kaspersen

09:00-17:00 January 283A

AI & Cities

Konstantin Klemmer, Shin Koseki, Eun-Kyeong Kim, Nicholas Jones, Kamil Kaczmarek, Kiran Zahra, Roger Fischer, Doori Oh, Ran Goldblatt, Martí Bosch, Roman Prokofyev, Dmitry Kudinov, Camille Lechot, Ellie Cosgrave, Javier Pérez Trufero, Layik Hama, Hoda Allahbakhshi, Marta Gonzalez, Valery Fischer, Emmanouil Tranos, Jens Kandt, Yussuf Said Yussuf, Nyalleng Moorosi, Nick Lucius

09:00-17:00 January 281BC

AMLD / Global partners