Fragile Earth 2022

AI for climate mitigation, adaptation, and environmental justice

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).

Fragile Earth 2022: AI for Climate Mitigation, Adaptation, and Environmental Justice is a workshop taking place as part of the ACM's KDD 2022 Conference on research in knowledge discovery and data mining and their applications. The dates for the Conference are August 14-18, 2022

The workshop will be a full day event on August 15, 2022.

Fragile Earth 2022
Dates: August 14-18, 2022
Venue: Washington DC Convention Center

Contact:

Call for Papers

Deadline: May 26, 2022

Organizers

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

Emre Eftelioglu

Amazon
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

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

Kathleen Buckingham

veritree
Kathleen is Director of Sustainability for veritree. She is an experienced research lead tackling Sustainable Development and Natural Resource Management challenges. Kathleen holds a Doctor of Philosophy (PhD) in Geography and the Environment from the University of Oxford. She is experienced in leading teams and building skills in Data Analytics and Data Science approaches to both social and biophysical challenges.
» 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

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

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.
Website

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