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Although Data Science only just became an official Berkeley major in Fall 2018, its versatility and applicability in almost all domains have led to its rapid expansion across campus. At Berkeley, data science can even be found in traditionally non-technological, liberal arts classes… in the form of data science modules.
Over the past five years, the Data Science Discovery program has helped hundreds of Berkeley undergraduate students join data science research projects. Students work on a team-based research project for a semester with one of Discovery’s project partners, which yield from a variety of fields and comprises Berkeley faculty, campus-affiliated start-ups, and non-profit agencies. The research projects tackle real-world issues utilizing data science techniques.
I think a lot of the time when students first get into data science, they’re a little intimidated because they feel that they have to learn math, stats, and CS, which is a lot, but I think doing personal projects in the domain that they really like can be really encouraging because they can see what they can do with data science versus without it.
Oliver O’Reilly, Computing, Data Science, and Society’s (CDSS) Associate Dean for Graduate Education and professor of Mechanical Engineering, has been selected as co-recipient of the 2021 Berkeley Faculty Service Award. Alice Agogino, the Roscoe and Elizabeth Hughes Chair in Mechanical Engineering, was also selected for the award.
This nationwide campaign is designed to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and other research data services. Students, faculty, researchers, librarians, and data specialists are invited to attend these events to gain hands-on experience, learn about resources, and engage in discussions around data needs throughout the research process.
UC Berkeley and Berkeley Lab is using data-driving models to understand the impacts of climate variability and long-term change on ecosystem functions, as well as related feedbacks to the atmosphere through ecosystem carbon cycling and water use. Kathy Yelick, CDSS Associate Dean of Research forecasts the future of climate research will require a broader range of disciplines to fully understand and try to mitigate the impacts. Areas such as economics, sociology, engineering, material science, law and public policy will need to join the community.
UC Berkeley Statistics Professor Deborah Nolan readily admits that writing is difficult for her, as well for many of her students. To help students and others better communicate their research, Nolan and UC Berkeley Ph.D. Sara Stoudt teamed up to teach a class in writing about statistics. This month, an article they wrote on the topic was published in Significance, the journal of the Royal Statistical Society, and in March 2021 their book "Communicating with Data: The Art of Writing for Data Science," will be published by the Oxford University Press.
A UC Berkeley research team led by Prof. Sanjit Seshia has been awarded a four-year, $8.4M project by the Defense Advanced Research Projects Agency (DARPA) to research artificial intelligence-based approaches that augment humans to perform correct-by-construction design of cyber-physical systems (CPS).
With the COVID-19 virus spiking worldwide and the need for accurate information about it more important than ever, four data science experts from UC Berkeley held an online discussion on the origins, amplification and impacts of the current infodemic of mis- and disinformation that is jeopardizing measures to control the pandemic.
Berkeley's Data Science Undergraduate Studies hosted a virtual workshop to bring together academic and corporate leaders actively innovating in the intersection of undergraduate data science and undergraduate economics education.