Mapping for Environmental Justice (MEJ) creates easy-to-use, publicly-available maps that paint a holistic picture of intersecting environmental, social, and health impacts experienced by communities across the US. MEJ's maps combine environmental, public health, and socioeconomic data into a single indicator that reflects the combined impacts of race, poverty, and pollution that low-income communities, communities of color, and historically marginalized communities experience.
October 14, 2020
October 7, 2020
September 29, 2020
The goal of the research project is to build a citation network from any collection of PDFs. The project data mines a large collection of sources from the disciplines of ancient Near Eastern Studies, Classics, Archaeology, and Middle Eastern Languages. The results of the project make this collection more internationally accessible for research by scholars in these fields by creating novel tools for computational textual analysis.
August 13, 2020
The COVID-Twitter Project, created by Ameek Bindra (Berkeley ‘22) and a team of undergraduates across the country, analyzes tweets about COVID-19 to map how reactions to the pandemic changed over the months. According to Ameek, the Discovery Exchange provided invaluable resources and guidance that helped the project come to fruition.
August 5, 2020
The Discovery Exchange would not be possible without the people who helped make the online hub into what it is: a summer program that provides undergraduate students with the support, community, and resources to engage in data science research remotely. Among them is Arlo Malmberg, who facilitated and advised student research teams.
June 24, 2020
This article was written by Jae Yeon Kim, a computational social scientist and PhD candidate in Political Science at UC Berkeley.
May 15, 2020
Students Michael Huang, Neha Hudait, Alan Liang, Arth Vidyarthi, Adhithya Basker and Lyle Lalunio worked with UCSF to apply deep learning to echocardiograms to detect heart disease.
May 11, 2020
Despite the difficult circumstances, student researchers in the UC Berkeley Data Science Discovery Research Program continue to push forward and work to come up with innovative solutions to the problems and issues they face, both with the situation of the current working environment and with the projects they work on.
April 20, 2020
Rent isn’t the only extreme price we pay to live in California. Natural disasters like wildfires, earthquakes, droughts, landslides, and floods are all too common, and increasingly so. Crises such as these, including the current coronavirus pandemic, rely heavily on donations to support affected communities. While cash donations are generally preferred by shelters and disaster relief agencies, donations of physical supplies are often necessary for immediate relief in times of sudden disasters.
December 12, 2019
Our Fall Data Science Showcase featured more than 30 student posters and project presentations on everything from understanding achievement gaps in public schools to improving water quality.
The Showcase on December 5 at Sutardja Dai Hall offered a window into the amazing ways that students are using data science to advance discovery and impact across campus and beyond, including:
January 7, 2019
Our Discovery Program is rolling out an exciting set of new projects this semester, offering data science students opportunities to contribute to a range of initiatives, from boosting the UN humanitarian efforts through data collaboration, to minimizing the ills of Bay Area traffic, to fighting pests des
December 1, 2018
Our Fall 2018 Data Science Showcase featured data science research and projects on everything from disaster response to gerrymandering to human rights and AI.
Researchers presented lightning talks and posters on a diverse array of projects with academic, government, and industry partners. Microsoft partner organizations highlighted opportunities to participate in projects pushing the frontiers of AI and exploring technology solutions to social challenges like energy and transportation.
July 26, 2018
January 18, 2018
In Fall 2017, the Data Science Discovery Program gave 50 Berkeley undergraduates the chance to deepen their learning in more than a dozen data science projects across a fabulously wide set of domains. Data science skills let students discover new knowledge and create solutions across a broad range of areas. The Data Science Discovery Program allows them to explore their interests and build their own pathways from Berkeley’s data science classes directly into hands-on research.
New page on BIDS formalizing the transition from the BIDS Collaborative to the Data Science Discovery Program.