FEED'21: Fragile Earth: Accelerating Progress towards Equitable Sustainability KDD Workshop Online, CA, United States, August 14-18, 2021 |
Conference website | https://ai4good.org/what-we-do/fragile-earth/ |
Submission link | https://easychair.org/conferences/?conf=feed21 |
Submission deadline | June 6, 2021 |
Call for Papers
Fragile Earth: Accelerating Progress towards Equitable Sustainability, is a workshop taking place as part of the ACM's KDD 2021 Conference on research in Machine Learning and its applications. The workshop will be part of the "Earth Day" events. 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). All submissions should use the standard ACM Proceedings templates. 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.
SUBMIT HERE: https://easychair.org/conferences/?conf=feed21
EXTENDED DEADLINE: June 6th, 2021, 11:59:59PM Anywhere on Earth (AoE)
Background and Call Details
The United Nations launched the Sustainable Development Goals (SDGs) as part of a shared blueprint for peace and prosperity for people and the planet. Ensuring security and sustainability of critical resources, namely food, energy, and water, form the backbone for meeting the bulk of the global goals for 2030. This year’s workshop--the 5th to date--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. The last year has given us a glimpse of the devastation global crises can create. However, global mitigation efforts illustrate how lessening consumption, travel, and even work levels are possible and can have positive spill-over effects.
The technological challenges posed by these development goals are twofold: how to achieve accurate, robust, and scalable modeling on physical, environmental, system, and societal data, and how to ensure that the obtained models are socially acceptable in the chosen context.
We invite both methodological and applied research work within these areas of investigation. The methodological agenda of interest include but are not limited to the integration of physics into data-driven modeling and causal inference, the use of machine learning to enhance physical simulations, model interpretability, privacy-aware data sharing, combining predictive and prescriptive tasks, and multi-agent systems for participatory modeling that integrate stakeholders into knowledge creation and decision processes.
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.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. All submissions must follow the standard ACM Proceedings template, which can be found here: ACM Template. The following paper categories are welcome:
- Full papers (up to 8 pages in length)
- Position Papers (up to 4 pages in length)
- Policy Notes (up to 2 pages in length)
List of Topics
- Innovations in data science and predictive modeling, applied to earth sciences.
- Investigations centering equity in regards to sustainability.
- Data-informed climate change and resource management policy discussions.
- Frameworks for helping the scientific and KDD communities to work together.
- Any other related topics to the themes of the workshop are welcome!
Organizers
- Naoki Abe (IBM Research)
- Kathleen Buckingham (tentree)
- Ramakrishnan Kannan (Oak Ridge National Laboratory)
- Bistra Dilkina (Center for Artificial Intelligence in Society)
- Auroop Ganguly (Northeastern University)
- James Hodson (AI for Good Foundation)
- Ramakrishnan Kannan (Oak Ridge National Laboratory)
- Emre Eftelioglu (Amazon)
Venue
The conference will be held virtually. For details: https://www.kdd.org/kdd2021/
Contact
All questions about submissions should be emailed to hodson@ai4good.org