Over the past months, colleges and universities everywhere have faced difficult and critical decisions in planning their response to the COVID-19 pandemic. In this live webcast, Cornell University experts will share their unique approach to reopening safely, including how they used scenario-based data modeling to drive evidence-based decision making and implemented robust public health measures such as surveillance testing, contact tracing, and an extensive behavioral campaign aimed at preventing the spread of coronavirus across campus and into the local community. The conversation will provide a live overview on the application of data science to a complex situation and highlight key lessons learned in managing an unprecedented public health challenge.
