KPMB: The Center for Computing & Data Sciences wins New England AIA Design Award
The BU Center for Computing & Data Sciences has been recognized for its architectural impact. Read about the award and the team behind it.
MetroWest Daily News: “How Did They Build That” to explain Boston University’s Jenga building, how to watch
The “How Did They Build That?” Smithsonian Channel special has aired and continues to make waves. Read more about the episode and where to watch it.
BU Today: Smithsonian Channel to Air Segment on BU’s Center for Computing & Data Sciences
BU’s Center for Computing & Data Sciences is the focus of the Smithsonian Channel’s latest edition of their “How Did They Build That?” series
3 Questions with MassMutual’s Adam Fox
MassMutual’s Adam Fox discusses what inspired him to enter to the field of data science and offers tools to enter the professions.
CCDS Featured in the Smithsonian Channel Series “How Did They Build That?”
The Center for Computing & Data Sciences is featured on the Smithsonian Channel’s “How Did They Build That?” program, October 2024.
BU Today: Career Development Professorships Awarded to Five BU Researchers
Read about Boston University’s Office of the Provost has announcement of this year’s winners of the prestigious Career Development Professorships, including CDS awardee Assistant Professor Brian Cleary.
KPMB: CTBUH selects the Center for Computing & Data Sciences as America’s Best Tall Building
Boston University is making national headlines once again, as the Center for Computing & Data Sciences is awarded as the best tall building in America.
Director Georgios Zervas on CDS’s New OMDS
In this Q&A, CDS Director of Online Master’s in Data Science discusses the vision for OMDS, the role of AI in the program, and the value of bringing practitioners in to speak to students.
Cleary Awarded Shibulal Family Career Development Professorship
Read about CDS Assistant Professor Brian Cleary, a Shibulal Family Career Development Professorship awardee.
Nature: Why AI might be a game-changer for Africa
Read about Professor Elaine Nsoesie’s research and work devoted to developing more accessible AI and machine learning programs in Africa.