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

Break

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

Break

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

Wrap-up

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, neptune.ml & 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 & Nutrition

Marinka Zitnik, Marcel Salathé, Fabio Mainardi, Tome Eftimov, Barbara Koroušić Seljak, Nives Ogrinc, Aleksandra Kovachev

13:30-17:00 January 282A

AI & Policy

Joanna Bryson, Sofia Olhede, Emanuele Baldacci, Sabrina Kirrane, Bruno Lepri, Dennis Diefenbach, Ioannis Kaloskampis, Benoît Otjacques, Steve MacFeely, Christina Corbane

13:30-17:30 January 272A

Challenge Track

Danny Lange, Sunil Mallya, Marcel Salathé, Florian Laurent, Erik Nygren, Sharada Mohanty, Parth Kothari, Navid Rekabsaz, Wilhelmina Welsch, Ewan Oglethorpe, Nicholas Jones, Gokula Krishnan, Jeremy Watson, Andrew Melnik

13:30-17:00 January 284A

AMLD / Global partners