AI for Good Foundation
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Fragile Earth 2023

Fragile Earth: AI for Climate Sustainability - from Wildfire Disaster Management to Public Health and Beyond

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Since 2016, the Fragile Earth Workshop has brought together the research community to find and explore how data science can measure and progress climate and social issues, following the framework of the United Nations Sustainable Development Goals (SDGs).

The Fragile Earth Workshop was one of three workshops associated with the planned Earth Day event at KDD 2019 (organized by our OC members, Shashi Shekhar and James Hodson), provided keynotes and panels for Earth Day in 2020, and has been a recurring workshop at the annual KDD conference for the past seven years. We hope to continue this tradition in 2023.

Fragile Earth 2023
Dates: August 7, 2023
KDD Conference August 6-10th
Long Beach, CA

Paper submission deadline: June 16th, 2023

Notification Date: June 23rd, 2023

The paper submission time is over, if you have not submitted your paper please contact us at
Submission is now open, and we are seeking:
  • full papers (up to 8 pages)
  • position papers (up to 4 pages), and
  • policy notes (up to 2 pages).

Accepted submissions will have papers and videos archived on the Fragile Earth website, but will not be included in the official KDD Proceedings. Authors will not be asked to assign copyright or rights to future submission elsewhere by participating in this workshop.

We will give priority to work that clearly measures and shows potential for impact in achieving the United Nations Sustainable Development Goals (SDGs) in an open and equitable manner.

Call for Papers

The papers from last year can be found here:



Fragile Earth 2023

Naoki Abe

IBM Research
Naoki is a distinguished research staff member and manager of Foundations of Computational and Statistical Learning group within the Foundations of Trusted AI Department, IBM Research AI. He has been involved in the applications of data analytics specifically to agriculture, currently leading the IBM team in a government funded joint project with Purdue University on integrated genotype phenotype analysis for accelerating breeding of biofuel crops.
» Website
Auroop Ganguly

Auroop Ganguly

Northeastern University and Pacific Northwest National Laboratory
Auroop works in climate extremes, water sustainability and critical infrastructures, by integrating scientific knowledge and simulations with machine learning, nonlinear dynamics and network science. His experience spans academia, private IT (data) sector and government research labs.
» LinkedIn
Fragile Earth 2023

Emre Eftelioglu

Emre Eftelioglu is an Applied Scientist working with geospatial datasets to identify patterns which were overlooked by traditional machine learning methods. His main research focus is on Urban Mobility, but he also works on understanding the interconnections between Food Energy and Water resources to improve sustainability.
» LinkedIn
Fragile Earth 2023

Bistra Dilkina

University of Southern California
Bistra is an Associate Professor of Computer Science at the University of Southern California. She is also the co-Director of the USC Center for AI in Society. She is one of the junior faculty leaders in the young field of Computational Sustainability, and her work spans discrete optimization, network design, stochastic optimization, and machine learning.
» LinkedIn
Fragile Earth 2023

Kathleen Buckingham

Kathleen is Director of Impact for veritree, a ground-based, restoration monitoring tool that unlocks finance for planting organizations. She is an experienced research lead tackling natural resource and planetary health data challenges. At veritree, Kathleen leads a team that investigates new methods and technologies to collect and assess data in order to understand restoration impact. Kathleen holds a Ph.D in Geography and the Environment from the University of Oxford.
» LinkedIn
Ramakrishnan Kannan

Ramakrishnan Kannan

Oak Ridge National Laboratory
Ramki is the Group leader for Discrete Algorithms in Oak Ridge National Laboratory focusing on large scale data mining, machine learning and graph algorithms on HPC systems and modern architectures with applications from scientific domain.
» Website
Fragile Earth 2023

James Hodson

AI for Good Foundation
James is the AI for Good Foundation’s Co-founder and CEO, who has previously spearheaded Artificial Intelligence initiatives at a number of global firms, and has built successful (and sustainable) for-profit ventures in a variety of industries.
» LinkedIn
Fragile Earth 2023

Rose Yu

UC San Diego
Rose is an assistant professor at UC San Diego department of Computer Science and Engineering and Halıcıoğlu Data Science Institute. She is a primary faculty with the AI Group and am affiliated with Contextual Robotics Institute, Bioinformatics and Systems Biology, and Center for Machine-Integrated Computing and Security.
Fragile Earth 2023

Yuzhou Chen

Temple University.
Yuzhou Chen is an Assistant Professor in the Department of Computer and Information Sciences at Temple University. He is also a Visiting Research Collaborator in the Department of Electrical and Computer Engineering at Princeton University. Before joining Temple University, he worked as a postdoctoral scholar in the Department of Electrical and Computer Engineering at Princeton University.
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Fragile Earth 2023

Jiafu Mao

University of Tennessee
Jiafu Mao is a Senior Staff Scientist at Oak Ridge National Laboratory and a Professor in the Department of Industrial and Systems Engineering and Institute for a Secure & Sustainable Environment of University of Tennessee. His work primarily involves understanding and modeling of carbon, hydrology and vegetation dynamics in the Earth terrestrial ecosystem using field measurements, satellite data, process- oriented land surface and Earth system models.
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Fragile Earth 2023

Yulia R. Gel

University of Texas at Dallas
Yulia R. Gel is a Professor in the Department of Mathematical Science at the University of Texas at Dallas. Her research interests include statistical foundation of Data Science, inference for random graphs and complex networks, time series analysis, and predictive analytics. She holds a Ph.D in Mathematics, followed by a postdoctoral position in Statistics at the University of Washington.
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Fragile Earth 2023

Huikyo Lee

Jet Propulsion Laboratory
Huikyo Lee is a Data Scientist with Jet Propulsion Laboratory, California Institute of Technology. He has a Ph.D. in Atmospheric Sciences from the University of Illinois at Urbana-Champaign, and a B.S. in Earth and Environmental Sciences from Seoul National University in Korea. Dr. Lee has also had extensive experience with stratospheric dynamics, neural network modeling for satellite remote sensing, atmospheric chemistry, and air quality modeling.
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Fragile Earth 2023