Compsustnet: Computational Sustainability Network
CompSustNet is a research network of twelve U.S. academic institutions exploring new research directions in computational sustainability. Twelve U.S.
CompSustNet is a research network sponsored by the National Science Foundation through an Expeditions in Computing award. academic institutions led by Cornell University, along with many national and international collaborators, are exploring new research directions in computational sustainability. Interdisciplinary, multi-investigator research teams are focusing on cross-cutting computational top
09/11/2023
https://www.techbriefs.com/component/content/article/tb/stories/blog/49493
Big Data, AI Help Advance Ornithology For the first time, big data and artificial intelligence are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle.
09/11/2023
New AI model gives bird’s-eye view of avian distribution at vast scale Wildlife conservation actions tend to be focused in specific locations because the data that inform them also tend to be highly localized. But what if we could visualize where a species, or several, will be at any given time of the year, across vast — even continental — scales? An artificial int...
05/10/2023
https://news.cornell.edu/stories/2023/10/ai-analyzes-bird-sightings-help-conserve-species
AI analyzes bird sightings to help conserve species | Cornell Chronicle Researchers from the Cornell Lab of Ornithology and the Institute for Computational Sustainability are using big data and AI to model hidden patterns in nature – not just for one bird species, but for entire ecological communities across continents.
27/06/2023
Little by little, a bird builds its nest - Nature Computational Science Dr Carla Gomes, Ronald C. and Antonia V. Nielsen Professor of Computing and Information Science, director of the Institute for Computational Sustainability, and co-director of the newly established AI for Science Institute at Cornell University, discusses with Nature Computational Science her resear...
28/03/2023
Artificial Intelligence for Materials Discovery Finding novel materials needs more than pure machine learning.
16/06/2022
AI reveals scale of eelgrass vulnerability to warming, disease | Cornell Chronicle A combination of ecological field methods and AI has helped an interdisciplinary research group detect eelgrass wasting disease from San Diego to southern Alaska, and determine that it’s caused by warmer-than-normal water temperatures.
16/06/2022
Gomes receives ACM-AAAI Allen Newell Award | Cornell Chronicle Carla P. Gomes, the Ronald and Antonia Nielsen Professor of Computing and Information Science, is the 2022 recipient of the ACM – AAAI Allen Newell Award, given in recognition of her foundational contributions to artificial intelligence (AI) and for founding and developing the field of computation...
02/05/2022
https://mrsbulletin.buzzsprout.com/244633/10274308-episode-4-meet-research-team-member-sara
Episode 4: Meet research team member SARA - MRS Bulletin Materials News Podcast In this podcast episode, MRS Bulletin’s Sophia Chen interviews Carla Gomes, Michael Thompson, and Max Amsler of Cornell University about their robot, SARA—Scientific Autonomous Reasoning Agent. Unlike commonly known artificial intelligence (AI) ap...
18/02/2022
AI enables strategic hydropower planning across Amazon basin | Cornell Chronicle Biologist Alex Flecker and computer scientist Carla Gomes co-led a project that employed AI and around 40 researchers in an attempt to determine optimal placement of around 350 hydropower dams in the Amazon river basin.
04/01/2022
Autonomous experiment finds stable fuel-cell material in minutes Scientists say augmenting machine learning with physics rules can speed up materials research
17/12/2021
https://news.cornell.edu/stories/2021/12/ai-powers-autonomous-materials-discovery
AI powers autonomous materials discovery | Cornell Chronicle A new artificial intelligence tool developed by Cornell researchers promises to help speed up searches for novel metastable materials with unique properties in fields such as renewable energy and microelectronics.
10/12/2021
https://news.cornell.edu/stories/2021/12/climate-driven-disease-compromises-seagrass-health
Climate-driven disease compromises seagrass health | Cornell Chronicle In an oceanic omen for climate change’s intensifying effects, Cornell-led research shows that seagrass suffers from a wasting disease and root-system deterioration.
22/10/2021
Clarity & well-chosen examples are critical to communicating research — An interview with Carla P. Gomes Read this interview by Carla P. Gomes, Professor and Director at Institute of Computational Sustainability, Cornell University. She revealed her success mantra, including her early career journey, its challenges, and how she scaled up despite all odds.
17/09/2021
https://news.cornell.edu/stories/2021/09/drnets-can-solve-sudoku-speed-scientific-discovery
DRNets can solve Sudoku, speed scientific discovery | Cornell Chronicle An interdisciplinary research team led by Carla Gomes, professor of computing and information science, has developed Deep Reasoning Networks, which combine deep learning with an understanding of the subject’s boundaries and rules.
05/08/2021
Computational Sustainability Meets Materials Science Exploiting synergies between the disciplines advances both fields and can help establish a sustainable future.
07/07/2021
https://www.technologyreview.com/innovator/priya-donti/
Priya Donti Finding climate-change solutions via computer science and public policy.
15/06/2021
AI-driven autonomy to accelerate X-ray experiment-based discovery - CHESS 2030 Workshop - June 21-22 | CHESS The following science pages will show how X-rays have become a mainstream tool for examining the structure and function of our material world, with an eye towards designing new materials, solving technological problems, and even curing diseases.
06/06/2021
Professor Christopher Barrett of Cornell University and the Computational Sustainability Network is interviewed on food supply chains during the pandemic recovery. https://www.npr.org/2021/06/06/1003713821/as-americans-return-to-dining-restaurants-see-trouble-procuring-supplies
As Americans Return To Dining, Restaurants See Trouble Procuring Supplies We take a look at how re-opening restaurants has put a strain on the U.S. food supply chain, which was already experiencing disruptions due to labor shortages across the board.
14/05/2021
On behalf of the planning team, we invite you to participate in the 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, which will be a hybrid event on September 13–17, 2021. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” As a hybrid event, in-person capacity at Boulder will be limited in accordance with the most recent public health guideline while the virtual event will be open broadly.
We invite you to submit an abstract relevant to the theme of this year’s workshop. The major topics that will be covered by this September include:
· AI for Weather & Climate: Using AI to advance the understanding of weather and climate systems and improve the capability to predict extreme events and future changes.
· AI for Blue Economy: Using AI to enhance all sectors of the American Blue Economy, such as fishery stock assessment, efficient marine resource surveys, automated data acquisition and analysis, image processing, coastal resilience planning, and protection of the marine ecosystem.
· Workforce Development & Education: Development and educational activities to promote workforce proficiency and increase workforce diversity around AI.
· Research-to-Operation/Commercialization (R2X) for AI: Examples and lessons learned on how to transfer AI-based research into operational and/or commercial products.
· Trustworthy & Responsible AI in Environmental Sciences: Tools and case studies to address the ethical concerns of AI applications in environmental sciences and their societal impacts, such as explainable AI and risk communication.
· Seamless AI system: Development of end-to-end AI-based systems that provide workflows, products, and/or services to build customized AI applications for end-users.
· Community of Practices: Strategies and examples of how to organize communities of practice around AI in environmental sciences to accelerate the adoption of AI and the collaborations with communities of practice that are relevant to other NOAA’s Science and Technology focus areas.
· Tools, Resources, and Datasets: Development of open source tools, resources, and datasets to improve the efficiency and efficacy of AI applications in environmental sciences, such as deep learning tools, reference datasets for AI application benchmarking, and AI-ready data development.
You can submit an abstract until June 18, 2021 using this Google form or directly visit https://bit.ly/NOAA-AI-2021.
Please visit the workshop page (https://2021noaaaiworkshop.sched.com/info) for more information. If you have any questions, please email [email protected].
Eric Kihn, Rob Redmon, Douglas Rao &
the 3rd NOAA AI Workshop Planning Team
3rd NOAA Workshop on Leveraging AI in Environmental Sciences Schedule Check out the schedule for 3rd NOAA Workshop on Leveraging AI in Environmental Sciences
Rising Stars Speaker Series
Date: Tuesday, March 30, 2021, 12:00pm to 1:30pm
Repeats every 3 weeks every Tuesday, 1 times Also
includes Thu Apr 08 2021, Tue Apr 20 2021, Thu Apr 29 2021
Location: Virtual (See registration links below)
https://crcs.seas.harvard.edu/event/workshop_ai_society .
19/03/2021
The Data Science Institute invites you to the next virtual spring speaker series event Friday, March 19 at 2pm CT.
Join us as Dr. Tanya Berger-Wolf, Professor of Computer Science Engineering and Director of the Translational Data Analytics Institute at the Ohio State University, discusses AI and wildlife.
Registration is required. https://vanderbilt.zoom.us/meeting/register/tJMrdOmsqTksG9OMlrs_V_-AymhwBcMM6RPj
Read the full story and details here: https://news.vanderbilt.edu/2021/03/12/vanderbilt-data-science-institute-hosts-ai-for-conservation-expert-tanya-berger-wolf-in-virtual-event-on-march-19/
Vanderbilt Data Science Institute hosts AI for conservation expert Tanya Berger-Wolf in virtual event on March 19 A virtual discussion, “Trustworthy AI for Wildlife Conservation: AI and Humans Combating Extinction Together,” will take place on March 19 at 2 p.m. CT. The discussion is hosted by the Vanderbilt Data Science Institute.
18/03/2021
This PBS story aired tonight. It tells the tale of the catastrophic decline of bats due to white-nose syndrome, and of the benefits of bats for sustainable, environmentally-friendly agriculture. Below this, in comments, I have posted a scientific article from 2020 on statistical modeling of bat populations under different conditions, flagging drops in activity for further investigation. The paper cites a recent Computational Sustainability article. If you find other CompSust relevant work on bat population modeling and/or white-nose syndrome, feel free to post it as a comment.
https://www.pbs.org/newshour/show/the-fate-of-bats-is-hanging-in-the-balance-that-could-have-very-real-consequences-for-us
The fate of bats is hanging in the balance. That could have very real consequences for us The World Health Organization is expected to release a report on its investigation into the origins of the novel coronavirus in the coming days. Among the many theories is the unproven belief that it was passed on from bats — leading to much public fear of the mammals. But the growing threat to ba...
09/03/2021
https://news.cornell.edu/stories/2021/03/computational-sustainability-trailblazer-honored
Computational sustainability trailblazer honored | Cornell Chronicle Carla P. Gomes, professor of computing and information science and a pioneer in computational sustainability, is the recipient of the 2021 Feigenbaum Prize, given by the Association for the Advancement of Artificial Intelligence.