Cornell and WWF will host a virtual conference Feb. 23 focused on the link between humans and wildlife, and the subsequent prevention of future pandemics.
Date Time
Jane Goodall to keynote Cornell, WWF COVID-19 conference
A live virtual event focused on preventing future pandemics, as human health is inextricably linked to wildlife, livestock and the environment, will be moderated by New York Times journalist Thomas L. Friedman with a keynote address from noted naturalist Jane Goodall.
Jane Goodall
This event is free and open to the public. It will feature public health and conservation experts from Cornell and other institutions, including the World Health Organization and the United Nations Environment Program.
“This virtual dialogue will be a robust exploration on how we as humanity can better govern our behavior to reduce the likelihood of future pandemics,” said Dr. Steve Osofsky, D.V.M. ’89, the Jay Hyman Professor of Wildlife Health & Health Policy and director of the Cornell Wildlife Health Center. “The experts we’ve assembled will be sharing their ideas on how our global community of nations can hopefully come t
Supporting Responsible Use Of AI And Equitable Outcomes In Financial Services â Federal Reserve Governor Lael Brainard At The AI Academic Symposium Hosted By The Board Of Governors Of The Federal Reserve System, Washington, D.C. (Virtual Event) Date
12/01/2021
Today s symposium on the use of artificial intelligence (AI) in financial services is part of the Federal Reserve s broader effort to understand AI s application to financial services, assess methods for managing risks arising from this technology, and determine where banking regulators can support responsible use of AI and equitable outcomes by improving supervisory clarity.1
The potential scope of AI applications is wide ranging. For instance, researchers are turning to AI to help analyze climate change, one of the central challenges of our time. With nonlinearities and tipping points, climate change is highly complex, and quantification for risk assessments requires the analysis of vast amounts of data, a task