The Climate + SDG Scanners
Tracking the world's progress towards sustainable solutions.
The Climate Trend Scanner
The Climate Trend Scanner is a machine learning project, commissioned by the United Nations Development Program, to find and track the most innovative climate solutions around the world in real-time. Our dedicated team of volunteer ML researchers and data scientists, in partnership with RISE and BWA, have been building the model from the ground up. In late spring of 2021, we secured a Microsoft AI for Earth grant to run our models. The Climate Trend Scanner was presented at this year’s COP 26 Conference in early November 2021, and we expect the first iteration of this project to be completed in Spring 2022.
Research Institute of Sweden
RISE is a state owned research institute collaborating with academia, industry and society as a central part of the Swedish innovation system.
United Nations Development Programme
UNDP works to eradicate poverty and reduce inequalities through the sustainable development of nations, in more than 170 countries and territories.
Multi-disciplinary design agency working to promote positive change, inspire action, interest and curiosity for high profile clients across the social, environmental and heritage sectors.
“The Climate Trend Scanner team has focused on developing a machine learning powered climate change news and media analysis toolkit. Our goal is to assist researchers and policymakers in better understanding the huge volume of climate change and sustainability media published daily, by augmenting traditional research methods.“
“Our analysis pipeline will surface trends and climate innovations, model the sentiment of articles, track the dynamics of global coverage for topics through time, and provide a network creation tool for probing the prominent organizations and individuals in the coverage of a given category.“
“We believe these capabilities can aid connection building, and allow resources to be allocated more effectively in the global fight against climate change.”
Eliot Frazier, Head of AI Infrastructure
Microsoft AI for Earth Grant Recipient
The SDG Trend Scanner
AI for Good and our project partners are leveraging AI and web-scale data to keep track of progress towards the United Nations’ Sustainable Development Goals in real time.
In partnership with the RISE Research Institutes of Sweden and UNDP, the AI for Good Foundation develops Artificial Intelligence algorithms capable of reading the web at scale, and identifying solutions and progress on the SDG’s.
Check out the SDG Trend Scanner Project – a project aimed to identity and track disruptive trends that can deliver on global sustainability.
Further Research and Resources
Call for Proposals: The Earthshot Prize
The search for the winners of The Earthshot Prize 2022 has begun and the AI for Good Foundation is proud to be an official Nominator. Launched in 2020 and with the first incredible winners announced in October 2021, The Earthshot Prize is the most prestigious global environment prize in history, aiming to find new solutions to the world’s biggest environmental problems.
Interview with Claudia Perlich
Council for Good member, Claudia Perlich served as a chief scientist at Two Sigma and is currently an adjunct professor teaching Data Mining in the M.B.A. program at the New York University Stern School of Business. In this interview with Program Coordinator Lindsey Asis, Claudia discusses what brought her to her career, how best to use AI for good and its accompanying challenges, and her call to arms of communal action towards the United Nations' Sustainable Development Goals.
Interview with Aymeric Maudous, the founder of Lord of the Trees
The AI for Good Foundation asks Aymeric Maudous, the founder of Lord of the Trees, about his company’s impact on SDG 15, Life on Land. We are proud to have Aymeric as a member of our Council for Good, and are inspired by the innovative ways LOTT is merging technology with natural processes to save crucial ecosystems.
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