08:55	Opening
09:00	Keynote Speaker: Fabio Duarte Urban phenomena through digital traces + As layers of networks and digital information blanket urban space, new approaches to the study of the built environment are emerging. The way we describe and understand cities is being radically transformed—as are the tools we use to design them. In this presentation, I will explore how we can use digital tools to understand urban phenomena in novel ways. In Desirable Streets, I will explore how we can quantify what makes some street more desirable than others by analyzing hundreds of thousands of actual pedestrians trips in Boston, based on data collected via self-tracking apps. In Favela 4D I will show how we’re combining community involvement with handheld laser scanning technologies and methods to mathematically understand the complex urban environment of informal settlements in Rio de Janeiro.
09:35	Oral Sessions O1: Mobility Planning and Economics Alessandra Cornaro and Daniele Grechi. The impact of investment decisions on railway network design and development Kakeru Niwa and Toshiyuki Kaneda. 3D Dynamic Simulator for Studying the Effects of Incentive Zoning Rules in Nagoya CBD Cyrille Bertelle, Patricia Sajous, Paul Salze, Valérie Bailly-Hascoët, Stefan Balev,Nathalie Corson and Ludovic Couturier. A simulation platform to explore the impact of regulatory measures in favour of ecomobility - the EM3 model Quentin Meurisse, Sesil Koutra, Hadrien Mélot, David Laplume, Vincent Becue,Thomas Brihaye, Jérémy Cenci, Emeline Coszach, Isabelle De Smet and Cédric Rivière. Building functionality assignment in dense and compact blocks using graph theory and game theory
10:40	Coffee Break
11:10	Keynote Speaker: Neave O'Clery Do higher order connections matter? Measuring urban and regional industry agglomeration patterns+ This talk will discuss a number of recent papers on the theme of measuring urban and regional industry agglomeration patterns. In particular, we will focus on the role of high order inter-industry connections, as encoded in the topology of industry networks or ’spaces', typically ignored in most common measures of industry agglomeration. Using data for the US, Ireland, Colombia and the UK, we show that these connections can play a key role in predicting a range of quantities such as local industry entry and employment growth.
11:45	Oral Sessions O2: Urban and Social Aspects Aaron Bramson. Discovering Neighborhood Types using Feature Clustering Laura Nino and Eduardo Mazuera. Inclusion and equity in urban mobility in main cities in Colombia: Comparative study based on models of archaeological relations Marcelo Mendoza, Hans Lobel, Naim Bro, Felipe Gutierrez, Francesca Lucchini, Hernán Valdivieso and Camila Vera. Finding Neighborhoods in Santiago, Chile: A Graph Neural Network Approach to Urban Cluster Detection
12:30	Keynote Speaker: Vittorio Loreto +
13:05	Lunch Break
14:30	Keynote Speaker: Michael Szell Making cities better with human-centric urban data science+ Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science offers new tools to quantify societal problems in cities and to propose human-centric solutions to policy makers. In this talk I outline our recent and ongoing efforts towards that end, focusing on urban transport and vulnerable road users. I discuss inequalities between transport modes through mobility space and collision threat distributions, and automated methods based on network science to generate and merge bicycle networks and to identify their gaps, for different urban development stages. All research comes with concrete policy recommendations that significantly increase urban livability, public health, and decarbonization./span>
15:05	Oral Sessions O3: Urban Computing Morgan Frank, Esteban Moro, Alex Pentland, Alex Rutherford, Manuel Cebrian and Iyad Rahwan. Universal resilience patterns in labor markets Xishun Liao, Guoyuan Wu, Matthew Barth and Alex Smolyak. A Data-Driven Approach to Estimating Environmental Impacts of Traffic Incident Management Strategies Morgan Frank, Esteban Moro, Tobin South, Alex Rutherford and Iyad Rahwan. Network constraints on worker mobility: How workplace skills determine a worker’s next move Harry Nakos, Kostis Pristouris and Yannis Stavrakas. Assessing Visitor Activity in Urban Parks Laura Niño Cáceres and Santiago De Francisco.Grassroots’ innovation in Bogota shapes eHealth model to tackle perinatal mortality nationwide: a Systemic Design case study.
16:20	Coffee Break
16:45	Keynote Speaker: Daniel B Neill Machine Learning and Event Detection for Urban Public Health + This talk will present new machine learning algorithms which can assist cities in monitoring and improving population health. First, we describe new approaches for targeting health interventions to address the opioid crisis. Our methods provide situational awareness of emerging patterns of overdoses, opioid use disorder, and risk behaviors at the geographic, subpopulation, and individual levels, as well as identifying networks of physicians and dispensaries engaged in unsafe opioid prescribing behaviors. Second, we describe a new event detection approach that provides public health practitioners with a "safety net" to detect newly emerging disease outbreaks and other previously unknown but potentially relevant patterns, using free-text chief complaint data from hospital emergency departments. Together, these methods will provide city public health agencies with a suite of tools and methods to improve the overall quality of population health and reduce health disparities.
17:20	Closing Ceremony