An anonymous donor has pledged $252 million to help fund the construction of a building for the newly christened Division of Computing, Data Science, and Society (CDSS): it is the single largest gift in Berkeley’s history.  The new "Data Hub" will be located at the intersection of Hearst Avenue, Arch Street, and MacFarlane Lane, at the site previously occupied by Tolman Hall.    An additional $300 million of private support will need to be raised to complete the capital project.  The building will house faculty offices and labs, robotics and other artificial intelligence laboratories, research centers and workroom spaces, public gathering areas, and teaching space, including a large auditorium and classrooms to accommodate the 6,000+ undergraduates who take data science courses each year.

The Berkeley data science division, which was launched in July 2019, has just announced its new name: the Division of Computing, Data Science, and Society.  The name reflects the division's broad, cross-disciplinary approach to education, and encompasses the School of Information, BIDS, the Data Science Education Program, and the Data Science Commons, as well as involvement with the departments of Statistics and EECS.  The announcement follows the arrival of the new Associate Provost for the Division, Jennifer Chayes, who took the reins in January.

CS-intended major Kai Koerber, a survivor of the mass shooting at Marjory Stoneman Douglas High School in Parkland, Florida, and now an advocate for mental health education, is the subject of an interview in an episode of Fiat Vox, the Berkeley News podcast.  Koerber was a high school senior in February 2018 when he huddled in a closet to escape the gunman, a former student, who killed 17 people in one of the deadliest school shootings in the country.  He decided to take a stand and speak authentically about gun violence and mental health, contributing the perspective of a young black person living in the South.  That April, he founded Societal Reform Corporation, a nonprofit dedicated to supporting mental health in schools by implementing programs that teach students of all ages to “mitigate emotions, relax, learn and grow as human beings.”

The Data Science Showcase, which will highlight the amazing ways that students are using data science to advance discovery and impact across campus and beyond in over 30+ projects, will be held this Thursday, December 5, from 12 noon to 3:30 pm in Sutardja Dai Hall.  The Showcase will kick off with a series of presentations in the Banatao Auditorium, followed by posters, demonstrations, and light refreshments in the adjoining Kvamme Atrium.  RSVP requested.

The Hopper-Dean Foundation has awarded the EECS department $2 million over two years to support diversity initiatives in computer science.  The gift follows the success of a $1M grant awarded by Hopper-Dean in 2016 to include and support more CS students from underrepresented groups at Berkeley.   The grant will fund initiatives targeting high school students (Beauty & Joy of Computing), community college students (Transfer-To-Excellence), 1st and 2nd year undergraduates (CS Kickstart, CS Scholars, CS Mentors), 2nd and 3rd year undergraduates (Teaching at Scale), and 1st year graduates (EECS Graduate Fellows).  These initiatives have shown real results.  In just the past two years, the number of women who graduated in CS and EECS majors increased by 47%, and the number of underrepresented minority students increased by 43%.  Over the past eight years, the number of women enrolled in the EECS graduate program has more than doubled and minority graduate students increased by more than 50%.

Design Innovation from Nature, a new collaboration among the Colleges of Environmental Design, Letters & Science, and Engineering at Berkeley, will be holding an Art + Nature Symposium co-hosted by the University of Tokyo this weekend, November 9-10, 2019.   The symposium will explore how biological models stimulate the curiosity of today’s designers and researchers, and will bring together various lectures by experts from the fields of art, architecture, mathematics, chemistry, engineering, robotics, and biology.  Two of the lectures will by EECS Profs. Ron Fearing and Robert Full.

A data science course introduced this semester gives students the chance to delve into concepts and research that are rarely, if ever, offered at the undergraduate level. Data 102, which is being taught by CS Prof. Michael Jordan and Statistics Prof. Fernando Perez, builds on earlier data science courses by not only teaching students the “how to” of Data 100 and the “finding patterns” of Data 8, but also the applications, specifically in relation to decision making in the context of other decision makers and sequences of decisions. Students learn to use data to make decisions even when faced with uncertainty.  “There is no other class that brings statistics, computing, and real world problems together in such an embrace” Jordan said.

EECS Assistant Prof. Anca Dragan will be the keynote speaker at the 2019 Ada Lovelace Day Celebration of Women in Robotics on Tuesday, October 8, in Sutardja Dai Hall.   The celebration is sponsored by the Women in Tech Initiative (WITI), a joint program of Berkeley Engineering, CITRIS & the Banatao Institute, and CITRIS People & Robotics (CPAR).  It plans to offer "a deep dive into robotic applications for good " and will show participants how "to enter the robotics field with networking, mentoring opportunities, and demos from impressive student groups and supportive community organizations including Women in Robotics/SVR."   Panels will feature leaders from robotics startups, like Tessa Lau (Dusty Robotics), Nicole Kernbaum (Seismic), Jasmine Lawrence (EDEN BodyWorks) and Mai Nguyen (Optoceutics).  Robohub’s selection of the Top 25 Women in Robotics will also be revealed

CS alumnus Feng Zhou (Ph.D. '07, advisor: Eric Brewer) is the subject of a Bloomberg article titled "The U.S.-trained coder is helping NetEase find new life beyond games."  To help the company remain competitive, NetEase Youdao CEO Zhou is creating an all-in-one learning platform to tap the lucrative overlap between education and technology.  Addressing the pressure many Chinese families feel to prepare children for college entrance exams starting as early as Kindergarten, Zhou says courses can be taught through high-speed live-streaming, enabling smooth communication between teacher and student. Artificial intelligence-powered tutors can grade homework and use data to evaluate student test results.  “That’s what we have always been good at,” said Zhou. “Almost every industry in China has been transformed by the internet, but that’s not yet the case for education.”

The US News and World Report has ranked both the EE and CS engineering programs among the top 3 undergraduate programs in the country for 2020.  Berkeley once again took the #2 spot in the Electrical/Electronic/Communications (EEC) category, while moving up one spot to #3 from its 2019 ranking in the Computer engineering category.   Berkeley EECS ranks just behind MIT in the EEC category and behind MIT and CMU in the Computer category.   Berkeley Engineering programs were ranked #3 overall in the country.