Stanford and UC Berkeley, long known for their spirited rivalry in athletics and academics, are proving that collaboration can yield transformative results in research and social impact. Across disciplines ranging from genomics to public-interest data science, the two universities are joining forces to tackle some of the most pressing challenges in science and democracy. One standout example is the Evo 2 Project at the Arc Institute, a nonprofit research center based in Palo Alto. Scientists from Stanford, UC Berkeley, and UCSF have united to develop Evo 2, one of the most advanced genomic AI models ever created. Trained on over 9.3 trillion nucleotides from more than 128,000 genomes, Evo 2 can analyze and generate genetic sequences up to 1 million nucleotides long—far surpassing earlier models. This breakthrough enables researchers to identify disease-causing mutations, decode gene function, and design synthetic biological systems with greater precision. Joseph Caputo, communications lead at the Arc Institute, highlighted the synergy between the institutions: “While Stanford and Berkeley compete on the football field, Arc shows how their scientists can team up to push the boundaries of what’s possible in biology.” The collaboration leverages Stanford’s strengths in computational biology and artificial intelligence with Berkeley’s expertise in evolutionary genomics and large-scale data science. Together, they created an environment where such a complex, ambitious project could thrive. Another powerful example is the Police Records Access Project, launched in August 2025. Born from a 2019 initiative by UC Berkeley journalism students filing public records requests under California’s S.B. 1421 transparency law, the project evolved into a statewide effort involving over 100 journalists, researchers, and data scientists from both universities. Stanford’s Big Local News, part of the School of Humanities and Sciences, partnered with Berkeley’s Investigative Reporting Program and the Institute for Data Science to process millions of pages of misconduct and use-of-force records. Aditya Parameswaran, associate professor at Berkeley and co-director of the EPIC lab, emphasized the value of the collaboration: “Stanford’s Big Local News team handled the frontend experience, while we managed the backend—data extraction, processing, and organization.” Generative AI tools were used to sort cases, extract key details, and enhance search functionality, with human reviewers ensuring accuracy and context. The final product is a publicly accessible database hosted by major news outlets including CalMatters, KQED, the San Francisco Chronicle, and the Los Angeles Times—giving Californians unprecedented access to police conduct across hundreds of agencies. Cheryl Phillips, founder of Big Local News and a Stanford faculty affiliate, described the effort as a groundbreaking model of collaboration: “Local journalism is resource-constrained. This kind of partnership is essential. It required innovative problem-solving and trust across institutions.” From advancing genomic AI to strengthening civic accountability, the joint efforts of Stanford and Berkeley demonstrate that cooperation can drive progress far beyond rivalry. As complex global challenges grow, such cross-institutional partnerships may become not just beneficial—but necessary.