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The UC Board of Regents today voted to establish UC Berkeley’s College of Computing, Data Science, and Society (CDSS), the campus’s first new college in more than 50 years. The college will develop, implement and share high-quality, ethics-oriented and accessible curricula, educating a diverse student body in data science, computing and statistics. It will also create new fields, applications and solutions to societal problems through groundbreaking, multidisciplinary research that capitalizes on Berkeley’s excellence across campus. The vote culminates a three-year process by Berkeley and the UC system to transform the Division of Computing, Data Science, and Society into a college. Now, the college can more effectively form new programs and partnerships, support instruction and research and foster identity and community among faculty, students and alumni.

UC Berkeley’s Division of Computing, Data Science, and Society will receive four grants to increase access to and awareness of data science, a California state initiative announced. The California Education Learning Lab grants will fund CDSS and partner institution efforts to expand data science curriculum and pipelines at state community colleges and UC Merced. CDSS will also be the lab’s cohort coordinator for other academic data science grant recipients. “This is an influential foundation at the state level investing in areas we’ve already been working in,” said Eric Van Dusen, outreach and tech lead for the Data Science Undergraduate Studies program, which is housed within the CDSS. “We’ve had successful pilots with a few partners, and these resources offer us a chance to make a much deeper impact in California.”

College of Engineering: The National Science Foundation (NSF) has announced a sweeping effort to address risks and advance the science and technology and broad applications of artificial intelligence, involving universities across the nation. The $140 million investment will establish seven new National Artificial Intelligence Research Institutes (AI Institutes). Five UC Berkeley faculty members will join one of the key institutions, the AI Institute for Agent-based Cyber Threat Intelligence and Operation (ACTION). Dawn Song, computer science professor and co-director of the UC Berkeley Center on Responsible Decentralized Intelligence, will act as principal investigator for the Berkeley team. She’ll be joined by electrical engineering and computer sciences professor Stuart Russell on the executive committee, as well as by professors Pieter Abbeel, David Wagner and Bin Yu.

College of Engineering: The National Science Foundation (NSF) recognized electrical engineering and computer sciences assistant professors Yakun Sophia Shao and Gireeja Ranade with Faculty Early Career Development (CAREER) awards. The awards are part of NSF’s prestigious Faculty Early Career Development (CAREER) Program, which supports early-career faculty “who have the potential to serve as academic role models” and to become leaders in their field, according to the NSF website. They are among the agency’s most competitive honors.

When Alice Xie moved from China to California as a teenager, she experienced major culture shock. She understood the words people spoke, but conversations were still hard to follow. She often felt isolated and underestimated. Through art, Xie found a way to explore and communicate about this period in her life. So it was no surprise when she came to UC Berkeley and became an art history major. What caught her off-guard was that her other major – statistics – helped her understand herself, too. “How stats [statistics] works is just how our brain works,” said Xie, remembering the moment her sophomore year this idea clicked. “We receive the data – the information – from all over the place. We process them in our mind and the mind is like a ‘layer’ – a gateway or a hole. Then we create our own interpretation and knowledge and reflect back to us or to the world.” After this realization, Xie said, she felt “relief and also clarity in how I think about myself and my work in so many aspects.”

Safe, clean and affordable drinking water is a human right in California. But making that legal requirement a reality is a difficult challenge exacerbated further by climate change. Two water engineers believe artificial intelligence can help. Working with UC Berkeley’s Data Science Discovery program students, they are building a chatbot they hope will help California Water Resources Board staff discern, communicate and enforce rules to ensure the public’s water is safe to drink.

Berkeley News: John Schulman cofounded the ambitious software company OpenAI in December 2015, shortly before finishing his Ph.D. in electrical engineering and computer sciences at UC Berkeley. At OpenAI, he led the reinforcement learning team that developed ChatGPT — a chatbot based on the company’s generative pre-trained (GPT) language models — which has become a global sensation, thanks to its ability to generate remarkably human-like responses. During a recent campus visit, Berkeley News spoke with Schulman about why he chose Berkeley for graduate school, the allure of towel-folding robots, and what he sees for the future of artificial general intelligence.

School of Information: Nestled atop the sprawling Berkeley hills and on the ancestral land of the Chochenyo Ohlone stands the Lawrence Hall of Science, a place of scientific discovery and exploration. With opportunities to get up close and personal with animals, build and test inventions, and watch engaging 3D films, the Lawrence offers youth a chance to explore their STEM-related interests. However, one of the many groups that have historically been underrepresented in museum spaces, including the Lawrence Hall of Science, are Indigenous groups. In fact, Indigenous sciences, which is characterized by an engagement with one’s location, embodied cognition, and intergenerational knowledge, is often considered at odds with Western science. A group of researchers, including the I School’s own Professor Kimiko Ryokai, recently received a grant of $1.29M from the National Science Foundation (NSF) to tackle this challenge.

On March 14, 2020, the United States was on the brink of a pandemic. Covid-19 had killed at least 60 people and two cruise ships with ill passengers were set to dock in San Francisco. That’s when DJ Patil received a call: How can data help California combat this? So the former White House chief data scientist put together a plan. His team acquired hospital and community data, developed surveys, models, dashboards and data catalogs, and used those tools and insights to inform public officials across the state and the country. “All of this came together in this effort to really take on Covid,” said Patil, who is now a general partner at GreatPoint Ventures, at an April 10 UC Berkeley lecture on the foundations of data science. “Data science made a massive impact in – not just the nation – but the world.”

Technology companies are racing to release increasingly powerful artificial intelligence (AI) tools. Some researchers claim this technology exhibits artificial general intelligence (AGI), a significant milestone where AI could independently learn and complete tasks like human beings. This technology has the power to change the world, said Stuart Russell, a UC Berkeley computer science professor and leading AI expert. It could improve quality of life for people across the planet or destroy civilization, he said. At an April 5 CITRIS Research Exchange and Berkeley AI Research Lab event, he urged both companies to pivot how they’re building AI and countries to regulate AI to ensure it furthers human interests.