UC Berkeley’s Division of Computing, Data Science and Society, or CDSS, nominated four associate deans with the purpose of diversifying leadership and strengthening the division’s outreach.
The nominations include Charis Thompson as associate dean for campus partnerships, Catherine Choy as associate dean of diversity, equity, inclusion, belonging and justice, Armando Fox as associate dean of online programs and John DeNero as associate dean of undergraduate studies, according to Tiffany Lohwater, chief communications officer for CDSS in an email.
Kathy Yelick, CDSS’s former associate dean for research, will also transition from her previous role, becoming the new executive associate dean, Lohwater noted.
In early May, the Harvard Data Science Review, or HDSR, assessed UC Berkeley’s leadership in the field of data science and UC Berkeley’s Division of Computing, Data Science and Society, or CDSS.
HDSR is a multimedia platform launched in July 2019 by the Harvard Data Science Initiative, according to a Harvard University press release. HDSR features leading thinkers in the field of data science and makes data science research more accessible to the general public, the release added.
HDSR’s May issue examined the work UC Berkeley has done in the field of data science from a multitude of perspectives, comprehensively displaying the department as a whole, according to a UC Berkeley press release. The issue featured an extensive conversation between HDSR Editor In Chief Xiao-Li Meng, UC President Michael Drake and UC Berkeley Associate Provost Jennifer Chayes.
Reporting by Helen Popkin, Aayushi Pratap and Nina Wolpow
The Covid-19 pandemic was devastating for many industries, but it only accelerated the use of artificial intelligence across the U.S. economy. Amid the crisis, companies scrambled to create new services for remote workers and students, beef up online shopping and dining options, make customer call centers more efficient and speed development of important new drugs.
Even as applications of machine learning and perception platforms become commonplace, a thick layer of hype and fuzzy jargon clings to AI-enabled software.That makes it tough to identify the most compelling companies in the spaceâespecially those finding new ways to use AI that create value by making humans more efficient, not redundant.