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: August 7, 2023
KDD Conference August 6-10th
Long Beach, CA
Paper Notification Date: June 23rd, 2023
Wildfires and related disasters are increasing globally, making highly destructive megafires a part of our lives more frequently. This increasing prevalence of devastating megafires has necessitated innovation in wildland fire science and management. A common observation across these large events is that fire behavior is changing, making applied data-driven fire research more important and time critical.Significant improvements towards modeling wildland fires and the dynamics of fire related environmental hazards and socio-economic impacts can be made through intelligent integration of modern data and computing technologies with techniques for data management, machine learning and artificial intelligence. However, there are many challenges and opportunities in integration of the scientific discoveries and data-driven methods for hazards with the advances in technology and computing in a way that provides and enables different modalities of sensing and computing. The WIFIRE cyberinfrastructure took the first steps to tackle this problem with a goal to create an integrated infrastructure, data and visualization services, and workflows for wildfire mitigation, monitoring, simulation, and response. Today, WIFIRE provides an end-to-end management infrastructure from the data sens- ing and collection to artificial intelligence and modeling efforts using a continuum of computing methods that integrate edge, cloud, and high-performance computing. This talk reviews our recent work on building this dynamic data driven cyberinfrastructure and impactful application solution architectures that showcase integration of a variety of existing technologies and collaborative expertise. This talk will also describe opportunities to address complex societal-scale wildland fire challenges through science and data-driven innovations and cross-sector partnerships. We will discuss how collaboration among researchers, practitioners, policymakers, educators, and citizens can foster knowledge exchange, accelerate the development of new tools, and facilitate the implementation of sustainable practices in fire management. Through real-world examples of collaborative initiatives, we will highlight common obstacles faced in establishing and maintaining partnerships and propose strategies to overcome these challenges to foster long-lasting and effective collaborations. We will conclude by exploring emerging technologies, standards and approaches in wildland fire science, highlighting the importance of continued collaboration and partnership in driving future advancements in fire management.
Janine A. Baijnath-Rodino (UCLA) Dr. Janine Baijnath-Rodino is the Director of Meteorology and Adjunct Assistant Professor in the Department of Atmospheric and Oceanic Sciences at UCLA. Her current research focuses on identifying surface-atmospheric hydrometeorological processes that drive wildland fire behaviour across multiple spatial and temporal scales.
Thomas Huang (NASA JPL) is a Group Supervisor at NASA JPL’s Instrument Software and Science Data Systems section and the Strategic Lead for Interactive Analytics. Thomas is the NASA Principal Investigator for Earth System Digital Twins and the System Architect for NASA’s Sea Level Change Portal. As an expert in large-scale, distributed intelligent data systems, Thomas led both planetary and Earth information system projects.
Tom Gulbransen (NSF) is Program Director, Office of Advanced Cyberinfrastructure, Computer and Information Science and Engineering where his concentration is on the nexus of cyberinfrastructure and workforce development. Tom focuses on the Advanced Cyberinfrastructure Coordination Ecosystem of Service & Support program (https://ACCESS-CI.org).
Prof. İlkay Altıntaş (UCSD), a research scientist at the University of California San Diego, is the Chief Data Science Officer of the San Diego Supercomputer Center as well as a Founding Fellow of the Halıcıoğlu Data Science Institute. She is the Founding Director of the Workflows for Data Science (WorDS) Center of Excellence and the WIFIRE Lab.
Call for Papers
Call for Papers
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). Over the years, Fragile Earth workshop has focused on SDGs. This year we also focus on two other aspects, Environmental Justice and Planetary Health. Environmental Justice can be defined as the effort to “document and redress the disproportionate environmental burdens and benefits associated with social inequalities” (Chakraborty et. al 2016), as well as SDG 13: Climate Action. Planetary Health involves complex spatial–temporal interactions. Various methods in earth data analytics, including spatial–temporal statistics, spatial evolutionary algorithms, remote sensing image analysis, wireless geo-sensors, and location-based analytics, are emerging disciplines in understanding complex interactions in planetary health.
The application problems and agenda of interest include the Sustainable Development Goals, accelerating progress on the United Nations’ 2030 agenda, envisioning solutions for climate mitigation and adaptation, and measuring and diminishing the inequitable benefits and burdens across socioeconomic groups. In particular, the workshop has maintained a strong focus and community in the following areas: food security, sustainable agricultural practices and supply chains, ecosystem restoration, water management, sustainable energy, climate action and adaptation, socioeconomic equality, and resilience across a broad range of natural disasters such as wildfires, storms, and hurricanes. Fragile Earth Workshop invites ML and AI researchers, social and behavioral scientists, as well as natural scientists and engineers, to convene and discuss interdisciplinary solutions for progress towards
The papers from last year can be found here:
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