News and Announcements - HBS PhD Newsletter - June 4, 2021
Good morning, HBSC PhD Students!
As we gear up for Fall 2021 and the return to on-campus operations, Sulastri and Anne Marie will be transitioning to holding on-campus hours in June. The front office will be regularly staffed Monday-Thursday 9am-3pm beginning in July.
Here are some important highlights of return to campus safety protocols as of June 1:
Vaccinated individuals do not need to wear masks except in certain designated shared spaces (such as elevators, bathrooms, and classrooms).
Unvaccinated individuals do need to wear masks at all times and complete the daily health attestation prior to coming to campus. Beginning in August, those individuals will also need to be tested weekly for COVID-19.
There will be free parking available on campus in June and July.
The EcoPass will be available for purchase for $135 and covers July 1-December 31. If you already have an EcoPass, you will need to get a new one. Masks will continue to be required on public transit through at least September 13 per federal mandate.
There is a new bike shelter by North Classroom if you prefer to bike to campus.
There will be more information coming from the universtiy as we get closer to Fall semester - keep an eye on your email for more details.
Have a wonderful summer!
PhD Student Shoutouts
Leah Pauline Successful Prospectus Defense
Leah Pauline successfully defended her prospectus last month. Please join us in congratulating her and wishing her good luck in her dissertation research.
NASEM Math and Statistics Symposium
Data Collection and Integration to Enhance Public Health: Making Sense of a Patchwork of Data(June 10, 2021): As policymakers and community leaders have worked to respond to the COVID-19 pandemic, it has become increasingly clear that statistics and data science can play a critical role in protecting public health and determining the best path forward. Moving from theory to practice presents challenges for working with a patchwork of data from many different sources across public and private sectors. Speakers will discuss how their work in modeling, inference, predictive analysis, and machine learning has been applied to track the spread of COVID-19, drug use, air pollution, and human trafficking. Panelists will explore the strengths and weaknesses of available surveillance data and how to integrate and draw insight from multiple imperfect data sources.
Session 1: Data Collection, Surveillance, and Modeling (11:00am-1:00pm MST): Moderator: Amy Herring (Duke University), Veronica Berrocal (University of California Irvine), Stephanie Eckman (RTI International), Nick Reich (University of Massachusetts Amherst), Ryan Tibshirani (Carnegie Mellon University).
Session 2:Data Integration (1:30-3:30pm MST): Moderator: Elizabeth Stuart (Johns Hopkins University), Joe Hogan (Brown University), Bernard Silverman (University of Nottingham), Minge Xie (Rutgers University), Bhramar Mukherjee (University of Michigan).