News

Whether confronting a category-five hurricane in the Bahamas or an Ebola outbreak in the Democratic Republic of Congo, response workers rarely have time to meticulously collect and tag data. But properly-coded data can provide valuable insight into the crises that humanitarian workers face. So last spring, the United Nations Office for the Coordination of Humanitarian Affairs (UN OCHA) and Microsoft AI partnered with UC Berkeley...

Amal Bhatnagar, a double major in data science and economics, reflects on his experiences working for the Data Science Education Program's External Pedagogy team, including presenting at the SciPy conference.

Don’t miss the showcase at Sutardja Dai Hall highlighting the amazing ways that students are using data science to advance discovery and impact across campus and beyond!

I School MIDS student Ben Arnoldy has been awarded the Fall 2019 Jack Larson Data Science for Good Fellowship for his work involving the use of data science to educate the public on climate change and pollution.

The National Science Foundation (NSF) has awarded UC Berkeley a $3 million grant to evaluate and expand its data science curriculum to ensure it is accessible to a broad range of students. David Harding, Faculty Director of the Social Sciences D-Lab, will oversee the Improving Undergraduate Stem Education (IUSE) project, titled “Undergraduate Data Science at Scale.” The grant will be used to implement, scale, and...

In recent years, many developments in the increasingly critical and complex field of data systems have been industry-driven, and as a result have focused more on industry concerns, like advertising and ride share routes. But UC Berkeley’s investment in a robust complement of faculty with data systems expertise positions the University to address broader issues, such as protecting privacy and enabling non-programmers to more easily...

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. [[{"fid":"153","view_mode":"width_200","fields":{"format":"width_200","field_file_image_alt_text[und][0][value]":"Fernando Perez photo, UC Berkeley","field_file_image_title_text[und][0][value]":"Fernando Perez photo, UC Berkeley"},"type":"media","field_deltas":{"2":{"format":"width_200","field_file_image_alt_text[und][0][value]":"Fernando Perez photo, UC Berkeley","field_file_image_title_text[und][0][value]":"Fernando Perez photo, UC Berkeley"}},"attributes":{"alt":"Fernando Perez photo, UC Berkeley","title":"Fernando Perez photo, UC Berkeley","style":"float: right;","class":"media-element file-width-200","data-delta":"2"}}]] Data 102: Data, Inference, and Decisions, taught by EECS Professor Michael...

Anthony Suen, who launched and runs the popular data science Discovery Program, along with an array of other cross-campus initiatives, will be among those receiving the 2019 Chancellor's Outstanding Staff Award in a ceremony next month. The award comes in recognition of Anthony’s contributions empowering students, forging connections, and advancing strategic innovations across the Division of Data Science and Information, campus, and beyond. Cathryn Carson...

The College of Letters & Science, College of Natural Resources, and College of Chemistry have approved the new data science minor, a program designed to serve students from a range of majors. Approval processes across the campus continue, with the hope of making the minor available to as many Berkeley students as possible this academic year.

[[{"fid":"1246","view_mode":"width_200","fields":{"format":"width_200","field_file_image_alt_text[und][0][value]":"Z Pardos","field_file_image_title_text[und][0][value]":"Z Pardos"},"type":"media","field_deltas":{"4":{"format":"width_200","field_file_image_alt_text[und][0][value]":"Z Pardos","field_file_image_title_text[und][0][value]":"Z Pardos"}},"attributes":{"alt":"Z Pardos","title":"Z Pardos","style":"float: left;","class":"media-element file-width-200","data-delta":"4"}}]]UC Berkeley Assistant Professor Zachary Pardos and his team have developed a machine learning approach that promises to help more community college students position themselves to transfer and succeed at four-year colleges and universities. Along the way, they’ve discovered that considering course enrollment patterns—or the classes that students take before, along with, and after a particular course—can...