About this Event
Please join us for Critical Care Medicine Grand Rounds on Wednesday, June 12, 2024, at noon in S120 BST and on Zoom Webinar.
Dr. Satchit Balsari is Associate Professor in Emergency Medicine at Harvard Medical School, and in Global Health and Population at the Harvard TH Chan School of Public Health.
Balsari studies the impact of public health emergencies, disasters and war on the most vulnerable. The Balsari Lab collaborates closely with populations in distress, humanitarian organizations, governments, and international agencies to bridge information gaps that often exclude the marginalized from decisions that affect their health and livelihoods in the aftermath of disasters. The lab has pioneered digital tools that have advanced data-driven decision-making in public health crises in the US and overseas.
Balsari co-directs CrisisReady.io, a global research-response platform at Harvard that builds decision-tools to help health care systems anticipate and respond in real-time to populations displaced by extreme weather events. Balsari teaches courses across the university on disasters, climate change and multi-dimensional problem solving. He directs Harvard’s Climate and Human Health Fellowship; and leads several interfaculty, interdisciplinary projects, hosted at Harvard’s Salata Institute for Climate and Sustainability and the Mittal South Asia Institute. He is currently curator of the Hum Sab Ek mixed-media exhibition examining how a group of trade unions and cooperatives comprising 3 million poor women working in India’s informal economy successfully navigated the pandemic.
Balsari is Asia Society Fellow, an Aspen Ideas Scholar and recipient of the BC Roy Award, India’s highest honor in medicine. Balsari received his medical and public health training from Bombay University, Columbia, Cornell and Harvard.
He will present:
"Of the people, by the people: leveraging data science in a changing climate"
Please let us know if you require an accommodation in order to participate in this event. Accommodations may include live captioning, ASL interpreters, and/or captioned media and accessible documents from recorded events. At least 5 days in advance is recommended.