Editorial: Special Issue on Artificial Intelligence for Sustainability

Authors

Keywords:

climate change, sustainability, machine learning, artificial intelligence

Abstract

Sustainability is the challenge of our time. It is an exciting and necessary problem to be solved that requires an all- hands-on-deck attitude. Given the demonstrated capabilities developed in Artificial Intelligence (AI) during the last decades, the techniques it provides may ease the ancestral problems in Latin America and the Caribbeans (LAC) related to its development. Current climatological models predict that given its relatively little contribution to the emission of greenhouse gases, LAC will suffer a disproportionate effect of extreme weather events (EWEs) in the form of droughts, forest fires, and flooding. These events could significantly alter the life of about 660 million LAC’s inhabitants, mak- ing it harder to thrive in societies that have historically demonstrated low fluidity, inequality, and gender and family- based violence. Furthermore, EWEs have the potential to be catastrophic for the biodiversity of LAC, which holds about 60% of the terrestrial life.

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Author Biographies

Joaquin Salas, Instituto Politécnico Nacional

Joaquin Salas is a professor in the field of Computer Vision at Instituto Politécnico Nacional. Member of the Mexican National Research Sys- tem, his research interests include monitoring nat- ural systems using visual perception and aerial platforms. Salas received a Ph.D. in computer science from ITESM, México. He has been a visiting scholar at MIT, Stanford, Duke, Oregon State, Xerox PARC, the Computer Vision Center, and the ÉNST de Bretagne. He has served as co- chairperson of the Mexican Conference for Pattern Recognition three times. Salas was a Fulbright scholar for the US State Department. He has been invited editor for Elsevier Pattern Recognition and Pattern Recognition Letters. For his services at the Instituto Politécnico Nacional, he received the Lázaro Cárdenas medal from the President of Mexico.

Genevieve Patterson, Climate Change AI

Geneviève Patterson is a freelance researcher. Until July 2022, she was the Head of Applied Research at Visual Supply Company (VSCO), specializing in Computer Vision and Blockchain technologies and is a Core Team Volunteer at Cli- mate Change AI. Previously, she was CTO of the TRASH app (acquired by VSCO). Before working on her start-up, she was a Postdoctoral Researcher at Microsoft Research New England. Her research focuses on human-in-the-loop AI methods. Her interests include AI for climate science, cinematic video understanding, and active learning. She received her Ph.D. from Brown University in 2016. 

Flavio de Barros Vidal, University of Brasilia

Flavio de Barros Vidal received a B.Sc. in Electrical Engineering from the Federal University of Juiz de Fora (UFJF), Juiz de Fora, Brazil, in 2002. Then, in 2005, he received an M.Sc. in Elec- trical Engineering from the University of Brasilia (UnB), Brasília, Brazil. In 2009, he received a Ph.D. in Electrical Engineering from the Univer- sity of Brasília, Brasília, Brazil. He is currently an Senior professor in the Department of Com- puter Science at the University of Brasilia, Brazil. His current research interests include forensics, biometrics, deep learning, and computer vision. He is the leader of the Biometric and Technologies Group (BiTGroup) and a member of the Image, Signal, and Acoustic research group (LISA), both at the University of Brasília, Brazil.

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Published

2022-08-27

How to Cite

Salas, J. ., Patterson, G., & de Barros Vidal, F. (2022). Editorial: Special Issue on Artificial Intelligence for Sustainability. IEEE Latin America Transactions, 20(11), 2309–2311. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/7311

Issue

Vol. 20 No. 11 (2022): Special Issue on Artificial Intelligence for Sustainability

Section

Special Isssue on AI for Sustainability