FE2022: Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice Washington DC Convention Center Washington, DC, DC, United States, August 14-18, 2022 |
Conference website | https://ai4good.org/fragile-earth-2022/ |
Submission link | https://easychair.org/conferences/?conf=fe2022 |
Submission deadline | June 10, 2022 |
Call for Papers
Fragile Earth: 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 (August 14-18, 2022, Washington, DC). The workshop will be a full day event on August 15, 2022. For more information, see the Fragile Earth website.
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).
We will give priority to work that clearly measures and shows potential for impact in achieving the United Nations SDGs in an open and equitable manner.
All submissions should use the standard ACM Proceedings templates. DEADLINE: EXTENDED TO JUNE 10TH, 2022. 11:59:59PM Anywhere on Earth (AoE)
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.
Special issue in Environmental Data Science: Environmental Data Science (EDS) is a new open access journal published by Cambridge University Press dedicated to the use of data-driven approaches to understand environmental processes and aid sustainable decision making. Submissions accepted into KDD Fragile Earth workshop 2022 will be invited to participate in a Fragile Earth special issue in EDS, after undergoing review in the journal. See cambridge.org/eds for more details about EDS.
Background and Call Details
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 Environmental Justice, which in the scope of scientific research 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.
In 2021, the Intergovernmental Panel on Climate Change (IPCC) released their report on “physical science basis” stating that climate change was caused “unequivocally” by human action, while in 2022, they followed that up with their latest report on “impacts, adaptation and vulnerability” emphasizing that the time for action is now. These reports, parts of the Sixth Assessment Report (AR6), provide new estimates of the chances of crossing global warming thresholds, discuss the urgent need for adaptation pathways, and find that unless there are immediate, rapid, and large-scale reductions in greenhouse gas emissions, limiting warming will be beyond reach. The ramifications of these climate scenarios are devastating for the planet. As we fail to reach mitigation and adaptation targets, we will witness the triggering of more frequent sweltering heat waves, stronger storms, higher floods, severe droughts, and drastic ecosystem shifts, with disastrous consequences for human lives, economies and health, as well as biodiversity.
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 disaster resilience. In our Fragile Earth Workshop, we invite 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 SDGs, Environmental Justice, and climate change mitigation and adaptation.
List of Topics
The Workshop will target both methodological and applied research agenda within these areas of investigation.
- Domains of interest include but are not limited to:
- food security, sustainable agricultural practices and supply chains, ecosystem restoration, water management, sustainable energy, climate action and adaptation, socioeconomic equality, and disaster resilience
- innovations in data science and predictive modeling, applied to earth sciences
- investigations centering sustainability, including but not limited to environmental justice
- data-informed climate change and resource management policy discussions
- carbon removal technologies
- easily usable and publicly available data+model+frameworks (possibly challenge problems) based on satellite/drone data to monitor and predictively model the fragile earth
- natural catastrophes under a changing climate ranging from improved modeling to development of resilient infrastructures
- economic/quantitative characterization of climate change risk and associated incentives towards policy/decision making.
- The methodological topics of interest are relevant areas of KDD, including but not limited to:
- the integration of physics into data-driven modeling
- the use of machine learning to enhance physical simulations
- model explainability, uncertainty quantification, privacy and fairness questions in environmental modeling
- causal learning in complex physical world as foundations for model trustworthiness
- ML applications at low energy edge devices
- frameworks for helping the scientific and KDD communities to work together
- combining predictive and prescriptive tasks
- multi-agent systems for participatory modeling that integrate stakeholders into knowledge creation and decision processes.
- Any other topics related to the themes of the workshop are welcome!
Organizers
- Naoki Abe (IBM Research)
- Kathleen Buckingham (veritree)
- Bistra Dilkina (University of Southern California)
- Emre Eftelioglu (Amazon)
- Auroop Ganguly (Northeastern University and Pacific Northwest National Laboratory)
- James Hodson (AI for Good Foundation)
- Ramakrishnan Kannan (Oak Ridge National Laboratory)
- Rose Yu (UC San Diego)
Steering Committee
- Vipin Kumar (University of Minnesota),
- Thomas E. Potok (Oak Ridge National Laboratory),
- Shashi Shekhar (University of Minnesota),
- Raju Vatsavai (North Carolina State University),
- Angel Hsu (Yale University),
- Arindam Banerjee (University of Illinois Urbana-Champaign),
- Marta Gonzalez (University of California Berkeley).
- Peder Olsen (Microsoft Research)
Venue
The conference will be held in-person at Washington DC Convention Center from August 14-18th, 2022. The workshop will be held on August 15. For details: https://www.kdd.org/kdd2022/
Contact
All questions about submissions should be emailed to fragileearth@ai4good.org