Fragile Earth

Applying data science for a sustainable planet.

Fragile Earth is an annual gathering that brings together research, industry, and policy community around enhancing scientific discovery in the earth sciences through the joint use of data, theory, and computation.

Since 2016 the AI for Good Foundation has organised the Fragile Earth community and associated events, bringing together researchers, subject matter experts, governments, and policy groups under one roof to learn and discuss how Artificial Intelligence can help address problems with the Earth’s Biome and threats to its stability.

We’re partnering with a variety other organisations in order to develop workshops, datasets, community engagement, and research that can have a direct impact on these themes. 

Fragile Earth 2021

Accelerating progress towards equitable sustainability

Fragile Earth 2021, our annual workshop is taking place as part of the Earth Day events at ACM’s KDD 2021 Conference.

This year’s workshop will bring together the research community, industry, and policymakers to develop radically new technological foundations for advancing and meeting the Sustainable Development Goals in a way that ensures equitable and inclusive progress

Fragile Earth 2021 - Presentations

Catch up on the 2021 Fragile Earth presentation recordings

Registration: Fragile Earth 2021

Register for the Conference
August 15-16, 2021 Singapore Standard Time

Fragile Earth at KDD 2020

The Fragile Earth workshop brought together research, industry, and policy communities at KDD Virtual Conference 2020 to discuss, address and help develop the technological foundations for advancing and meeting the SDGs.

The applications and agenda of interest include food security, sustainable agricultural practices, crop yield forecasting and improvement, restoring degraded landscapes to productive landscapes, clean water management, sustainable and clean energy production, energy efficient and low waste food supply chain, and the future of intelligent technologies in tackling these topics in an ever urbanizing world.

The mission of KDD is to promote the rapid maturation of the field of knowledge discovery in data and data-mining.

Research Papers from KDD 2021

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Position Paper: Reducing Amazon’s packaging waste using multimodal deep learning

By Prasanth Meiyappan and Matthew Bales

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Model Generalization in Deep Learning Applications for Land Cover Mapping

By Lucas Hu, Caleb Robinson, and Bistra Dilkina

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Beyond modeling: NLP Pipeline for efficient environmental Policy Analysis

By Jordi Planas, Daniel Firebanks-Quevedo, Galina Naydenova, Ramansh Sharma, Cristina Taylor, Kathleen Buckingham, and Rong Fang

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Space, Time, and Counts: Improved Human vs Animal Detection in Thermal Infrared Drone Videos for Prevention of Wildlife Poaching

By Anika Puri and Elizabeth Bondi

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Detecting Cattle and Elk in the Wild from Space

By Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, and Juan M. Lavista Ferres

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Global Metagenomic Data from MetaSUB Enables City-specific Microbial Fingerprinting

By Chandrima Bhattacharya, Malay Bhattacharyya, Bodhisatwa Bhattacharya, and Christopher E. Mason

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A network fusion model pipeline for multi-modal, deep learning for tree crown detection

By Rebekah Loving, Arushi Agarwal, Ilya Sherstyuk, and Sergio Parra

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A Design Framework for Citizen-Science AI Platforms for Families

By Fangqing He*, Yifeng Wang*, and Stefania Druga

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Sustaining Renewable Resources under Uncertainty

By Francois Buet-Golfouse

Research Papers from KDD 2020

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Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling

By Nishant Yadav, Sai Ravela, and Auroop R. Ganguly

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High-Resolution Air Quality Prediction Using Low-Cost Sensors

By Thibaut Cassard, Grégoire Jauvion and David Lissmyr

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Online Learning Algorithm for Hurricane Intensity Prediction

By Ding Wang, Boyang Liu and Pang-Ning Tan

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People-Centered Climate Hazard Impact Assessment using Machine Learning: A Drought Risk Perspective

By Markus Enenkel and Molly Brown

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The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines

By Joyjit Chatterjee and Nina Dethlefs

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Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis

By Isabelle Tingzon, Niccolo Dejito, Ren Avell Flores, Rodolfo De Guzman, Liliana Carvajal, Katerine Zapata Erazo, Ivan Enrique Contreras Cala, Jeffrey Villaveces, Daniela Rubio and Rayid Ghani

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Trust and Transparency in Contact Tracing Applications

By Stacy Hobson, Michael Hind, Aleksandra Mojsilovic and Kush Varshney

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Optimizing crop cut collection for determining field-scale yields in an insurance context

By Ritvik Sahajpal, Inbal Becker-Reshef and Sylvain Coutu

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Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization

By Hannah Kerner, Ritvik Sahajpal, Sergii Skakun, Inbal Becker-Reshef, Brian Barker, Mehdi Hosseini, Estefania Puricelli and Patrick Gray

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Towards a Global Species Dataset by Fusing Remote Sensing and Citizen Science Data with Graph Neural Networks

By Kenza Amara, David Dao and Bjoern Luetjens

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Leveraging traditional ecological knowledge in ecosystem restoration projects utilizing machine learning

By Bogdana Rakova and Alexander Winter

Join us

Do you have research relevant to the earth’s biomes - oceans, water systems, food security, climate change, geospatial imaging or related topics?
Subscribe to community updates, send us your work to showcase, and get involved in organising our future workshops and summits.

Impact Network

IBM Research

At IBM Research, we're inventing what's next to catalyze and drive the advancements that shape our world.

World Resources Institute

A global research organization working on six critical goals that the world must achieve this decade in order to secure a sustainable future.

USC Center for AI in Society

Our mission is to conduct research in Artificial Intelligence to help solve the most difficult social problems facing our world.


Cargill is working to nourish the world. We're bringing together people, ideas, and resources to deliver products, technology and ways of operating that build successful businesses and communities.

Oak Ridge National Laboratory

We apply expertise in advanced materials, supercomputing, neutrons, and nuclear science to national priorities in energy, security, and scientific discovery.

Logo Tentree


Tentree is driving innovation in tree planting, monitoring technology and sustainable materials.

KDD Workshop Archive

Data Science for a Sustainable Planet

KDD 2020 - San Diego, CA

Theory Guided Data Science to Enhance Scientific Discovery

KDD 2019 - Anchorage

Theory Guided Data Science to Enhance Scientific Discovery

KDD 2018 - London

Data Science for Intelligent Food, Energy, and Water

KDD 2017 - Halifax, Canada

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