Why drought risk is underestimated when demand and long-term variability are ignored Publication Type: Policy Brief Publication Date: May 11, 2026 Authors: Kim, S.-H., Gangopadhyay, S., McGuire, M., Lall, U., & Devineni,
Why drought risk is underestimated when demand and long-term variability are ignored Publication Type: Policy Brief Publication Date: May 11, 2026 Authors: Kim, S.-H., Gangopadhyay, S., McGuire, M., Lall, U., & Devineni,
CREST & UNU-Hub at CCNY-R-SIRUS Celebrate World Water Day 2026 The City University of New York Remote Sensing Earth System Institute (CUNY CREST) and the United Nations University Hub at The City
CUNY CREST & R-SIRUS Join the Women’s Empowerment Roundtable at the United Nations The City University of New York Remote Sensing Earth System Institute (CUNY CREST) and the United Nations University Hub
CUNY CREST & R-SIRUS Research Professor, Kaveh Madani Named 2026 Stockholm Water Prize Laureate NEW YORK, NY- Professor Kaveh Madani, Director of the UNU-INWEH and Research Professor at the City University of
R-SIRUS Researchers Call for Scientists to Lead Global Water Agenda in Nature Water Opinion In a new opinion article published in Nature Water, Dr. Kaveh Madani, Director of the United Nations University
R-SIRUS and CREST at the Water Policy Roundtable hosted by United Nations Headquarters in New York On the occasion of the 30th anniversary of the The United Nations University Institute for Water, Environment
CREST Hosts D4 Seminar on Engineering Sustainability Featuring India’s Govardhan EcoVillage as a Global Model for UN Sustainability Goals NOVEMBER 21, 2025 The most recent CREST D4 Seminar spotlighted innovative pathways for
Adequate housing: Design for 7 generations United Nations Headquarters, New York Monday, November 17th Conference 3 PM–6 PM, Networking 2 PM– 3 PM The conference will explore how traditional knowledge and cutting-edge innovation
Digital Earth and Artificial Intelligence for Sustainability As climate challenges grow more complex, the need for professionals who can harness remote sensing, Artificial Intelligence/Machine Learning (AI/ML), and open-science tools have never been
Urban flooding remains one of the most pressing climate-induced challenges, particularly in densely populated and socioeconomically vulnerable regions. In this Science Talk, Prof. Reza Khanbilvardi presents an integrated, multi-regional approach to urban