In a recent edition of the of the Health and Data Science Review published by MIT, the elements and evolution of the interdisciplinary field of data science were explored from … Continue reading “Data Science – A Recipe for Exploration”
Congratulations to Statistics Department Professor Susan A. Murphy who was recently named President of the Institute of Mathematical Statistics on July 31st, taking over from former Stat Chair Xiao-Li Meng.
Launched last week by founding editor Xiao-Li Meng, the Harvard Data Science Review (HDSR) is an open access platform of the Harvard Data Science Initiative and published by MIT Press that will feature leading global … Continue reading “New Harvard Data Science Review”
On July 18-20, the six-week Summer Program in Biostatistics & Computational Biology culminated with an extremely successful three days of workshops, symposium, meetings, reunions, and celebration. All Summer Program activities were designed … Continue reading “Another Successful Summer Program Concludes”
On July 19-21, the six-week Summer Program in Biostatistics & Computational Biology culminated with an extremely successful three days of workshops, symposium, meetings, reunions, evaluation and celebration. All Summer Program … Continue reading “Pipelines into Biostatistics Annual Symposium”
A Celebration of the 70th and 60th Anniversaries of the Harvard Biostatistics and Statistics Departments Friday, May 5, 2017 Harvard University Hilles Event Hall, 59 Shepard St | Cambridge After … Continue reading “Biostatistics and Statistics Anniversary Event – Friday”
On October 28th, faculty, students, alumni, and staff gathered in the Boston Red Sox Jimmy Fund Auditorium at the Dana-Farber Cancer Institute to celebrate David Harrington’s 70th birthday and to honor … Continue reading “Dave Harrington Symposium”
While not exactly as contentious as Ali vs. Frazier or Sugar Ray vs. Duran, debates occasionally arise about the fundamental nature of evolving academic fields. In his XL-Files article for … Continue reading “Learning from the Heavyweights: Predicting the Future of Biostatistics”