The main conference on the scientific analysis
of mobile phone datasets

8-10 July 2019 Mathematical Institute, Oxford University, Oxford, UK


Monday July 8

Session Economic
Economical Segregation of Encounter Networks in cities
Esteban Moro, Dan Calacci, Xiaowen Dong, and Alex Pentland

Netflix or Youtube? Regional income patterns of mobile service consumption
Inaki Ucar, Marco Gramaglia, Marco Fiore, Zbigniew Smoreda and Esteban Moro

Enhancing financial inclusion with mobile phone data
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute,Bart Baesens and Jan Vanthienen
Coffee break
Session Social Good
FlowKit: An open-source CDR analysis toolkit for humanitarian and development purposes
Daniel Power, Martin Thom, Jonathan Gray, Maximilian Albert, Guilherme Zagatti, Chris Brooks, Sophie Delaporte, Tracey Li, James Harrison, Joshua Greenhalgh, Nick Thorne and Linus Bengtsson

Mapping geographical communities using Call Detail Records and OpenStreetMap
Joanna Wilkin, Eloise Biggs and Andrew J Tatem

CubicA – A recommender system improving information delivery to smallholder farmers through IVR
Christophe Bocquet, Kristýna Tomšů, Lucio Melito, Denys Sementsov, Jamie Arkin, Leah Newman, William Tinzaara, Vincent Johnson and Jérôme Urbain

Urban poverty mapping in Haiti
Guilherme A. Zagatti, Claudio Bosco, Samantha K. Watson, Nancy Lozano-Gracia, Emilie Perge, Sering Touray and Linus Bengtsson

Maximum likelihood reconstruction of population densities from mobile signalling data
Jan van der Laan and Edwin de Jonge
Lunch break
Session Social Good
AIDA, the Action Insights Data Platform
Rositsa Zaimova, Kristýna Tomšů, Astrid Van Lierde, Jérôme Urbain, Lucio Melito, Christophe Bocquet, Denys Sementsov, Damien Jacques and Frédéric Pivetta

Exploring the use of mobile phone data for national migration statistics
Shengjie Lai, Elisabeth zu Erbach-Schoenberg, Carla Pezzulo, Nick W Ruktanonchai, Alessandro Sorichetta, Jessica Steele, Tracey Li, Claire A Dooley and Andrew J Tatem

Employment Demographics of Refugees in Turkey: A Bayesian Probabilistic Approach using Weak Social Science Models
Steven Reece, Franck Duvell, Carlos Vargas-Silva and Zovanga Kone

Novel mobility and social network metrics to predict disaster-driven displacements from call detail records
Tracey Li, Jesper Dejby, Maximilian Albert and Véronique Lefebvre
Coffee break
Special session “Data for refugees"
Data for Refugees
Albert Ali Salah

Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul
Tarik Altuncu, Nur Sevencan and Ayse Seyyide Kaptaner

Measuring fine-grained multidimensional integration using mobile phone metadata: the case of Syrian refugees in Turkey
Michiel Bakker, Daoud Piracha, Patricia Lu, Keis Bejgo, Mohsen Bahrami, Yan Leng, Jose Balsa-Barreiro, Julie Ricard, Alfredo Morales, Vivek Singh, Burcin Bozkaya, Selim Balcisoy and Alex Pentland

Improve Education Opportunities for Better Integration of Syrian Refugees in Turkey
Marco Mamei, Seyit Cilasun, Marco Lippi, Francesca Pancotto and Semih Tumen

AROMA_CoDa: Assessing Refugees’ Onward Mobility through the Analysis of Communication Data
Harald Sterly, Benjamin Etzold, Lars Wirkus, Patrick Sakdapolrak, Jacob Schewe, Carl-Friedrich Schleussner and Benjamin Hennig

Tuesday July 9

Session Mobility
CDR-based descriptors of seasonal sensitivity and mobility
David Pastor-Escuredo, Federica Carfagna, Zbigniew Smoreda, Miguel Luengo-Oroz and Pedro J. Zufiria

Anomaly detection of urban dynamics in an extreme weather with mobile GPS data
Yutaro Mishima and Atsunori Minamikawa

Extracting meaningful mobility flows from mobile phone individual trajectory data for epidemic metapopulation models
Giulia Pullano, Stefania Rubrichi and Vittoria Colizza

Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale
Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Alessandro Nordio and Alberto Tarable

scikit-mobility: an open-source Python library for human mobility analysis and simulation
Luca Pappalardo, Gianni Barlacchi and Filippo Simini
Coffee break
Session Methods
MobiSenseUs: Predicting Objective and Subjective Well-Being from Aggregate Mobile Data
Martin Hillebrand, Imran Khan and Nuria Oliver

Road crash hotspot identification through bystander Tweets
Guadalupe Bedoya, Arianna Legovini, Robert Marty, Sveta Milusheva, Elizabeth Resor and Sarah Williams

Inactivity prediction using Convolutional Neural Networks
Elisabetta Alfonsetti, Paola Jafrancesco, Francesco Calabrese, Carlo Baldassi and Riccardo Zecchina

Measuring the Relationship between Apps and Urban Context
Eduardo Graells-Garrido, Diego Caro and Rossano Schifanella
Lunch break
Special session “Future Cities Challenge”: Urban Phenomena and Systems
Disentangling activity-aware human flows reveals the hidden functional organization of urban systems
Riccardo Gallotti, Giulia Bertagnolli and Manlio De Domenico

Identifying Similar Urban Areas Using Mobility Networks
Xin Liu, Konstantinos Pelechrinis and Alexandros Labrinidis

PolisNet: Designing Future Cities with Deep Neural Networks
Gianni Barlacchi, Marco De Nadai, Yahui Liu, Bruno Lepri and Luca Pappalardo

Mining behavioural constraints in urban mobility sequences of Tokyo
Galina Deeva and María Óskarsdóttir

Using Foursquare data to reveal spatial and temporal patterns in London
Maarten Vanhoof, Antonia Godoy-Lorite, Roberto Murcio, Iacopo Iacopini, Natalia Zdanowska, Juste Raimbault, Richard Milton, Elsa Arcaute and Mike Batty

A Geographic Data Science Framework for the Functional and Contextual Analysis of Human Dynamics within Global Cities
Alex Singleton, Daniel Arribas-Bel, Sam Comber, Alessia Calafiore and Greggory Palmer
Coffee break
Special session “Future Cities Challenge”: Future Cities for Good
An Intelligent Tree Planning Approach Using Location-based Social Networks Data
Jan van Staalduinen, Jaco Tetteroo, Daniela Gawehns and Mitra Baratchi

Love of food: Do eateries drive London property prices
Matthias Qian, Charles Rahal and Jan Calliess

Metaheuristic macro scale traffic flow optimisation from urban movement data
Laurens Arp, Dyon van Vreumingen, Daniela Gawehns and Mitra Baratchi

A Multi-Objective Approach for Optimal Store Placement
Jeroen Rook, Brent Verpaalen, Daniela Gawehns and Mitra Baratchi

Crime Rate Prediction with Region Risk and Movement Patterns
Shakila Khan Rumi, Phillip Luong and Flora Salim

[Closing Next Challenge Presentation]
Poster session (with social drinks)

Wednesday July 10

Session Methods
Empirical Evidence For Networks Effects Of Urbanisation, Fertility Transition, And Migration
Tamas David-Barrett, Sebastian Diaz, Loreto Bravo, Carlos Rodriguez-Sickert and Janos Kertesz

Multichannel Social Signatures and Persistent Features of Ego Networks
Sara Heydari, Sam G.B. Roberts, R.I.M. Dunbar and J. Saramäki

Computable reachability of limited waiting-time processes in large temporal networks
Arash Badie Modiri, Márton Karsai and Mikko Kivelä

Clean up or mess up: the effect of sampling biases on measurements of degree distributions in mobile phone datasets
Adeline Decuyper, Arnaud Browet, Vincent Traag, Alexey Medvedev, Vincent D. Blondel and Jean-Charles Delvenne

Going beyond communication intensity for estimating tie strengths in social networks
Javier Ureña-Carrion, Jari Saramäki and Mikko Kivelä
Coffee break
Session Epidemics
Human Mobility Shapes the HIV Epidemic in Namibia
Eugenio Valdano, Justin Okano, Vittoria Colizza and Sally Blower

Comparing Sources of Mobility Information for Modelling the Spread of Zika in Colombia
Daniela Perrotta, Enrique Frias-Martinez, Miguel Luengo-Oroz, Daniela Paolotti, Michele Tizzoni and Alessandro Vespignani

Telecom data in public health: building generic prediction models for transmission risk
Jérôme Urbain, Kristýna Tomšů, Jonathan Frisch, Astrid Van Lierde, Rositsa Zaimova and Christophe Bocquet

Exploiting Population Activity Dynamics to Predict Urban Epidemiological Incidence
Gergana Todorova and Anastasios Noulas