More details to come!

October 19

Keynote Address
Mauricio Santillana Guzman
How Can Machine Learning, Internet Digital Traces, and Computational Epidemiology Help Public Health
12:30 to 1:20 p.m.
Callaghan Auditorium

Dr. Santillana will describe data-driven machine learning methodologies that leverage Internet-based information from search engines (clinicians and the general public), Twitter microblogs, crowd-sourced disease surveillance systems, news alerts, electronic medical records, wastewater, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. He will present how these approaches can be used to build early warning and forecasting systems to anticipate communicable disease outbreaks including COVID-19 outbreaks.

October 20

Staff, Faculty, and Postdoc Networking Social
8:30 to 10:00 a.m.
Fifth Floor Atrium
Refreshments will be served. Drop in as your schedule allows.

October 21

Distinguished Faculty Lecture
Dr. Gideon Zamba
Navigating Perpetual Change: A Framework for Flexible Thinking
12:30 to 1:20 p.m.
Callaghan Auditorium
Reception to follow in first floor atrium

System change is the continual process of adjusting how people, processes, and resources work together to address new challenges and improve outcomes. In health science and medicine, change can be driven proactively through planned improvements or reactively in response to unexpected events. These two approaches can be illustrated by the concepts of elective surgery (planned change) and emergency trauma response (reactive change). Just as health systems must constantly adapt, health science and medical professionals must remain flexible in how they think and work. In this non-technical presentation, Dr. Zamba will introduce a practical framework for understanding change and show how analysis, diagnosis, and strategic alignment can help individuals and organizations successfully navigate an ever-evolving health science environment.