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.

Our Partners

RISE Logo

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.

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BWA Design

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 focussed 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

Eliot Frazier, Head of AI Infrastructure

Our Volunteers

Mark Pauley

Mark Pauley was trained as a physical chemist but is a life, computer, and data scientist by profession, the latter by way of bioinformatics. He is a former research university faculty member and U.S. National Science Foundation program director
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Christine Mwase

Christine Mwase is excited about solving real world problems using Al/ML. She is currently pursuing research on distributed training at the loT edge. Her previous experience extends from teaching in academia to architecting innovative solutions for local impact. She holds a Masters in Communications Systems and Signal Processing from the University of Bristol and a Bachelors in Electrical and Electronic Engineering from the University of Bath.
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Sonal Singh

Sonal Singh is a CS graduate currently working as a Machine Learning Engineer with an Indian software services firm. She heads the Youth Outreach program for Women in Tech in India and is working towards extending this movement to more countries. She believes that by leveraging technology and adopting an interdisciplinary approach we can fight the issues that we face, and make this world more inclusive for the coming generations
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Pascal Eun Sig Cheon

Pascal Eun Sig Cheon has a Ph.D in Mathematics in which he studied mathematical/statistical modelling and fundamental machine learning concepts. He is currently a statistical research scientist for an economic research team. He is keen to extend his expertise to ML applications that make the world a better place for everyone.
» LinkedIn

Bahare Samadi

Bahare Samadi has a Ph.D. in biomedical engineering from Polytechnique Montreal focusing in biomechanics. Her experiences are in developing ML algorithms for healthcare to support clinical decision-making in pediatrics rehabilitation
» LinkedIn

Lori Jones - Tyrakowski

Lori is currently a Product Manager and has spent the last twenty years working across a variety of industries, most notably automotive, with very large global brands She is excited to apply these same principles (and many more) to help communities get what they need faster, with better outcomes and to help focus on the initiatives that will have the biggest possible impact.
» LinkedIn

Cesar Gustavo Seminario Calle

Cesar holds a bachelor’s in systems engineering at National Technological University of Lima Sur (Peru). Cesar works as a Data Scientist at Globant, and is highly passionate about helping to accomplish the SDG's goals in Quality Education(4), Climate Action(13) and Life below water (14). For these, Cesar participates in volunteer projects with high social impact such as Omdena projects, CodeHunters Lab (Social Entrepreneurship - Peru) and Loop (Life out of plastic - Peru).
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Mikael Berglund

Mikael Berglund has led IT & Data Science teams for 10 years and also worked as a Data Scientist. He has mainly worked within Healthcare and built a few Data Science projects within sustainability. Mikael is highly passionate about using technology for sustainability & for good
» LinkedIn

Valshnavi Kandala

Valshnavi Kandala helps organizations become Al-driven as an ML scientist. Over the last 10+ years, she has worked with multiple global clients, developing bespoke ML solutions for their business problems In her current role with Elsevier, she is helping organize global scientific research in an automated manner.
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Skander Soltani

Skander Soltani holds an MSc. in Computational Finance from Carnegie Mellon University and currently works as a Quantitative Researcher at an investment firm in San Francisco, CA. Skander is passionate about applying Al/ML to solve environmental and social Issues
» LinkedIn

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. 

Join us

We seek to collaborate on data, research, and frameworks that can help better track and achieve the SDGs. Contact us if you would like to join our research efforts as a colleague or funding partner.

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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