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Thousands of UC Berkeley data science and computing students are preparing to graduate in May amidst a slew of technology company layoffs. Some are worried about finding a job. Berkeley advisors are urging expected graduates to take a beat and embrace a more nuanced job market view. They’re reminding students of what they have control over in their search and what they’ve already accomplished. And they’re telling students to give themselves grace. “This generation will have 12 plus jobs in their lifetime. I often emphasize to students that this is just the first one,” said Amanda Dillon, a Berkeley Data Science Undergraduate Studies advisor. “Students tend to really overwhelm themselves with expectations … [but] it’s just a stepping stone.”

When Joyce Shen began teaching data science at UC Berkeley nearly a decade ago, she noticed a problem she’d also seen in industry. There were barely any women. The nascent data science field that would forever change how we live was being primarily developed by men, creating products that would shape society for decades. Today, due to intensive Berkeley recruitment efforts, she has seen the numbers in her classes change. “We have much more representation of students from all walks of life, including more women,” said Shen, a School of Information continuing lecturer and an investor focused on data and AI companies, at the Women in Data Science, Berkeley conference on March 7. That’s had an impact, she said. “Our discussions are much richer when we talk about ethics, when we talk about data quality.”

Since its launch last November, the artificial intelligence chatbot ChatGPT has been an international sensation, with people using the platform to do everything from writing essays, computer code, poems and research proposals to planning vacations, flirting with Tinder matches and creating malware. According to UC Berkeley computer scientist Ken Goldberg, the computer program’s facility with natural language — particularly its ability to consistently demonstrate creativity — is forcing many AI experts to rethink what machines may be capable of and even our understanding of intelligence. “ChatGPT may catalyze a paradigm shift,” said Goldberg.

On Wednesday, March 8, 2023, Hany Farid, professor in the UC Berkeley School of Information and Department of EECS testified at a hearing with the House Committee on the Judiciary and the Subcommittee on Privacy, Technology, and the Law entitled: “Platform Accountability: Gonzalez and Reform.” In his testimony, Farid points out how a platform such as YouTube’s recommendation system can lead to misinformation, extremism, and various other negative impacts. To fix this issue, he recommends clarifying Section 230’s role and protections to exclude such design flaws: “This can be accomplished,” he said, “by clarifying that Section 230 is intended to protect platforms from liability based exclusively on their hosting of user-generated content, and not – as it has been expanded to include – a platform’s design features that we now know is leading to significant harms to individuals, societies, and our very democracy.”

Arlyn Moreno Luna and her family immigrated from Mexico to Oregon when she was 13 years old. Learning a new educational system and English with little support from her high school, she relied on her sister and friends to find her own way to college and beyond. Her experience fueled her to study access to higher education and equity issues related to first-generation, historically underrepresented and Latinx students. Today, as a fourth-year doctoral candidate at UC Berkeley’s School of Education, she examines topics like how a community college’s location impacts the attainment of associate degrees. Moreno Luna participated in the Data Science + Social Justice Workshop, a summer introductory data science program run by Berkeley’s D-Lab and Graduate Division. In this Q+A, she discusses her journey, why she’s interested in data science and how this field has expanded the possibilities of her higher education research. 

The Committee of Presidents of Statistical Societies (COPSS) has selected Bin Yu for the 2023 Distinguished Achievement Award and Lectureship (DAAL). Formerly known as the R. A. Fisher Award and Lectureship, the DAAL recognizes meritorious achievement and scholarship in statistical science and recognizes the highly significant impact of statistical methods on scientific investigations. She will deliver the DAAL Lecture at JSM in 2023 on veridical data science. Yu’s current research focuses on practice, algorithm, and theory of statistical machine learning, interpretable machine learning, and causal inference.

Professor Deirdre K. Mulligan has been tapped to join the White House’s Office of Science and Technology Policy (OSTP) as Deputy U.S. Chief Technology Officer for Policy. Mulligan, who is on leave from UC Berkeley, will help the Office of the U.S. Chief Technology Officer (CTO) in its efforts to ensure that U.S. policy is informed by tech and data expertise, and will also act as a principal advisor to the National AI Initiative Office, which coordinates key activities and strategic planning on AI across the U.S. government. “I’m excited to bring the insights I’ve garnered through my interdisciplinary research and my decades of experience working on internet policy issues to assist the Biden Administration in advancing the privacy and equity priorities set out in the Blueprint for an AI Bill of Rights,” Mulligan stated. 

Prabhakar Raghavan, a senior vice president at Google, will be the keynote speaker at the spring 2023 UC Berkeley commencement ceremony for Data Science undergraduate majors, the Division of Computing, Data Science, and Society (CDSS) announced today. Raghavan leads Google’s Knowledge & Information products, including Google Search, News, Assistant, Geo, Ads, Commerce and Payments. He is a member of the CDSS advisory board, providing guidance on promising areas of research, the education of data-driven leaders and opportunities for computing and data science in technology and society. He is an expert on search with more than 20 years of research, 100 papers and 20 issued patents on algorithms, web search and databases. Raghavan, who joined Google in 2012, previously served as vice president of Google Apps in Google Cloud. Before Google, he founded and led Yahoo! Labs, served as chief technology officer at Verity, Inc. and worked for 14 years at IBM Research.

The U.S. Supreme Court will consider this week whether social media companies are shielded from liability when they use algorithmic systems to recommend relevant content to users. UC Berkeley experts say this case could be a defining moment for Section 230 of the Communications Decency Act, which generally states technology companies like Google aren’t responsible for content others post on their platforms. The oral arguments will preview how large an impact the court’s rulings could have.

Maura McGinnity has recently been appointed senior assistant dean for development at UC Berkeley’s Division of Computing, Data Science, and Society (CDSS). Her first day at Berkeley will be Feb. 21. McGinnity will lead CDSS development and external relations as the senior staff member responsible for engaging donors with outreach and relationship strategies in support of an innovative vision. Launched in 2018, CDSS at Berkeley provides accessible and equitable educational opportunities in computing and data science and catalyzes groundbreaking research to meet society’s greatest challenges in health and biomedicine, climate and sustainability, and human welfare and social justice. The division is on a pathway to become the first new college at Berkeley in more than 50 years, with a decision from the UC Board of Regents expected this year.