taka_gordes.jpg

Postdoctoral Associate 
Massachusetts Institute of Technology
Institute for Data, Systems, and Society (IDSS)
Media Lab, Human Dynamics Group

Email: tyabe@mit.edu

Phone: +1-773-383-3510

Bio:
My research develops tools and models for analyzing large-scale human behavior data to better understand collective social dynamics during disruptions, and to improve the resilience of communities and cities to urban shocks (e.g., disasters, pandemics, and disruptive technology). My recent works have focused on modeling the resilience of complex urban sociotechnical systems to natural hazards [PNAS, Sustainable Cities and Society], human behavior analysis during and after disasters and pandemics [
CEUS, Sci. Rep.], quantifying the long-term dynamics of diversity in urban encounters in cities [arXiv], and geospatial AI methods for transferring urban dynamics across cities [ACM KDD , Nature Machine Intelligence]. My research lies in the intersections of civil engineering, computational social science, network science, and urban informatics.

I am a Postdoc at the MIT Institute for Data, Systems, and Society (IDSS) and Media Lab mentored by Alex 'Sandy' Pentland and Esteban Moro. I received my Ph.D. from Purdue University, advised by Satish V. Ukkusuri (Civil Engineering) and Seungyoon Lee (Communication). Prior to that, I obtained my Masters and Bachelor Degrees from the University of Tokyo, advised by Yoshihide Sekimoto (Urban Informatics). I am also passionate in transforming my research to help policy making. I was a Data Science Consultant for the World Bank, working on human mobility data analytics for urban disaster risk management and transportation resilience modeling.


Please take a look at the Research page or Google Scholar for more.

News:​​​​

  • [Presentations] 2022 July. I presented our 2 most recent works at IC2S2 and Netsci22. You can find one of our works on arXiv.

  • [Paper] 2022 March. "Quantifying the spatial homogeneity of urban road networks via graph neural networks" is published in Nature Machine Intelligence!

  • [Paper] 2022 Feb. "Toward data-driven, dynamical complex systems approaches to disaster resilience" is now published in PNAS!

  • [Paper] 2021 Dec. "Resilience of Interdependent Urban Socio-Physical Systems using Large-Scale Mobility Data: Modeling Recovery Dynamics" is published in Sustainable Cities and Society!

  • [Paper] 2021 Aug. "Mobile Phone Location Data for Disasters: A Review from Natural Hazards and Epidemics" is published in Computers, Environment, and Urban Systems!

  • [Paper] 2021 Aug. I will present "Location Data Reveals Disproportionate Disaster Impact Amongst the Poor during Puebla Earthquake" at the KDD Workshop on Data-Driven Humanitarian Mapping! You can find the paper here, and video here

  • [Paper] 2021 Aug. We will present "Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data" at the KDD Workshop on Data-Driven Humanitarian Mapping! You can find the paper here​, and the Github Repo here

  • [Award] 2021 July. Our paper "Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data" was one of the Top 10% Cited Papers in PLoS ONE