Track / Overview

Can AI help us make cities and metropolitan regions more sustainable, livable and equitable? The “Smart Cities” movement hails AI as a universal tool to solve pressing issues of urban planning, governance and quality of life. But how much of that is actually true? How will AI actually change the face of our cities? Looking beyond buzzwords, our panel of experts addresses these pressing questions and present solutions currently under development in universities, the industry and the civil society.

Track / Schedule

Introduction

13:30-13:40 January 28
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Panel Discussion

With Alex “Sandy” Pentland, Valentine Goddard & Stephen Goldsmith

13:40-15:00 January 28
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Coffee Break

15:00-15:30 January 28
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Mining large-scale human mobility data for crime modelling

With Cristina Kadar

15:30-15:40 January 28
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Perceiving the City with Crowds and AI

With Daniel Gatica-Perez

15:40-15:55 January 28
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Talk Title TBD

With Alex “Sandy” Pentland

15:55-16:05 January 28
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Learning to Navigate in Cities Without a Map

With Piotr Mirowski

16:05-16:25 January 28
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Geospatial Data Science, Telco Data, and the Mobility of the Future

With Christopher Nowzohour

16:25-16:35 January 28
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Geospatial deep learning for solving real-world problems

With Niklas Goby

16:35-16:45 January 28
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Mobility Insights at Swisscom: Large-scale Machine Learning for Describing Collective Mobility in Switzerland

With Mohamed Kafsi

16:45-16:55 January 28
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Track / Speakers

Mohamed Kafsi

Co-organizer of AMLD Africa

Cristina Kadar

Senior Data Scientist, NZZ

Alex “Sandy” Pentland

Professor, MIT Media Lab

Valentine Goddard

Founder/CEO, AI Impact Alliance - Founder/Executive Director, AI on a Social Mission

Daniel Gatica-Perez

Professor, Idiap-EPFL

Piotr Mirowski

Research Scientist, Google DeepMind

Niklas Goby

Co-founder, Geospin

Christopher Nowzohour

Data scientist, Teralytics

Stephen Goldsmith

Professor of Government, Harvard Kennedy School

Track / Co-organizers

Konstantin Klemmer

PhD Student, University of Warwick / NYU

Shin Koseki

Assistant professor, University of Montreal

Nicholas Jones

Data Scientist, World Bank / GFDRR

AMLD EPFL 2019 / Tracks & talks

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09:00-12:30 January 295ABC

AI & Language

Jakob Uszkoreit, Nicolas Perony, Andrei Popescu-Belis, Lars Maaløe, Vered Shwartz, Hrant Khachatrian, Christian Reisswig, João Graça, Michele Sama, Richard Zens, Joern Wuebker, Ines Montani

13:30-17:00 January 285ABC

AI & Transport

Sunil Mallya, Erik Nygren, Francisco Pereira, Matthieu Cord, Arnaud de La Fortelle, Julian Kooij, Adrien Gaidon, Roxanne Tison, Alberto Chiappa, Mark Meeder, Adrian Egli

09:00-12:30 January 293A

AMLD / Global partners