The winners of the Data for Climate Action challenge were announced on Sunday, 12 November, 2017 at a high-level event in Bonn, Germany. Read the press release announcing the winners here.

Meet the challenge winners and learn more about their outstanding projects:

CHALLENGE WINNERS & HONORABLE MENTIONS

GRAND PRIZE WINNER

“Electro-mobility: Cleaning Mexico City’s Air with Transformational Climate Policies Through Big Data Pattern Analysis in Traffic & Social Mobility”

Claudia Octaviano (Instituto Nacional de Ecología y Cambio Climático), Sergio Castellanos (UC Berkeley), Fabiola Ramirez (Instituto Nacional de Ecología y Cambio Climático), Oscar Araiza (Instituto Nacional de Ecología y Cambio Climático), Itzchel Nieto (Instituto Nacional de Ecología y Cambio Climático), Adolfo Contreras (Instituto Nacional de Ecología y Cambio Climático), Ulises Ruiz (Instituto Nacional de Ecología y Cambio Climático), Daniel Kammen (UC Berkeley), Apollo Jain (UC Berkeley), Pedro Sánchez (UC Berkeley), Alan Xu (UC Berkeley), Hector Rincón (UC Berkeley), Alex Gao (UC Berkeley)

THEMATIC AWARD WINNERS

• “Predicting and Alleviating Road Flooding for Climate Mitigation,” Caleb Robinson (Georgia Institute of Technology), Amrita Gupta (Georgia Institute of Technology), Bistra Dilkina (Georgia Institute of Technology)
• “EMMA: Ecosystem Monitoring for Management Application,” Jasper Slingsby (South African Environmental Observation Network and SEEC, Biological Sciences, University of Cape Town), Adam Wilson (University at Buffalo, Buffalo, NY), Glenn Moncrieff (Ixio Analytics and South African Environmental Observation Network)
• “Air Pollution Induced Micro-migrations: Impacts on Consumer Spending,” John Brandt (Yale University), Angel Hsu (Yale University), Matt Moroney (Yale University), and Sophie Janaskie (Yale University)

DATA VISUALIZATION AWARD WINNERS

• “A Framework for the Optimization of Winter Wheat Seeding Date,” Erdem Erikçi (Eriktronik Inc.) and Alper Erdoğan (Eriktronik Inc.)
• “A Dynamic Spatial-Temporal Model of Urban Carbon Emissions to Drive Climate Action by Cities,” Constantine Kontokosta (New York University), Yuan Lai (New York University), Bartosz Bonczak (New York University), Sokratis Papadopoulos (New York University), Boyeong Hong (New York University), Awais Malik (New York University) and Nicholas Johnson (New York University)

HONORABLE MENTIONS

• “Uncovering the Impact of Climate Stress on Human Mobility and Resilience Using Mobile Phone Data,” Kamol Roy (University of Central Florida) and Samiul Hasan (University of Central Florida)
• “Investigating Urban Climate Issues Through Multiple Geodata Sources: The ICARO Project,” Daniele Oxoli (Politecnico di Milano), Guilia Ronchetti (Politecnico di Milano), Marco Minghini (Politecnico di Milano), Monia Elisa Molinari (Politecnico di Milano), Gabriele Prestifilippo (Politecnico di Milano), Maria Antonia Brovelli (Politecnico di Milano), Giovanna Sona (Politecnico di Milano), Maryam Lotfian (Politecnico di Milano)
• “Climate Fluctuations and Economic Sentiment,” Christos Makridis (Stanford University), Yi-Lin Tsai (Stanford University)
• “Large High Resolution Display Environment for Visualizing and Analyzing CDR-based Mobility,” Timothy F. Truong (Imperial College London), David Birch (Imperial College London), Emmanuel Letouze (Data-Pop Alliance), Yves-Alexandre de Montjoye (Imperial College London)
• “Tracking Poverty Using Satellite Imagery and Big Data,” Steffen Fritz (IIASA), Michael Van-Dijk (IIASA), Inian Moorthy (IIASA), Binh Nguyen (IIASA), Olha Danylo (IIASA), Jesus Crespo Cuaresma (IIASA)
• “Understanding Gender Differentiated impacts of Climate Change in Social Media Discourse,” Amit Pariyar (Institute of Social Informatics and Technological Innovations, Universiti Malaysia Sarawak)
• “Floods Impact Dynamics Quantified From Big Data Sources,” David Pastor-Escuredo (Technical University Madrid, LifeD Lab), Yolanda Torres (Technical University Madrid), Maria Martínez-Torres (Technical University Madrid), Pedro J. Zufiria (Technical University Madrid)

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