News

A community based approach to universal energy access

A new paper from BIDS Faculty Affiliate Daniel Kammen and colleague Tam Kemabonta describes an alternative approach to addressing energy poverty, taking into account factors such as energy production, economic calculation, and the incentives for innovation. Their research analyzes how this new approach can be used to address energy access problems in energy poor communities, and includes case studies of the Nigerian off-grid mini-grid industry and the Ecoblock pilot project in California in the United States.

Examining the Global Spread of COVID-19 Misinformation

Using Mobile Phone and Satellite Data to Target Emergency Cash Transfers

Since March 2020, our research team has been helping the Government of Togo get cash to the poorest people in the country, using a mix of machine learning, satellite imagery, and mobile phone data. This article provides a non-technical summary of those efforts.

Concrete computational analysis: nanotomography of cement toward green concrete

Leading universities launch joint technology licensing program to support connectivity, autonomous vehicles, and data applications

This article cross-posted from  Leading Universities Launch Joint Technology Licensing Program  January 15, 2021 |  University Technology Licensing Program ___________________________

The Climate-COVID Connection: Understanding the links between environmental change and public health to create effective solutions

BIDS Faculty Affiliate Rediet Abebe to participate in U-M Africa Week and WiDS Worldwide conferences

BIDS Faculty Affiliate Rediet Abebe, an Assistant Professor of Computer Science at UC Berkeley, will be participating in two exciting upcoming events. 

BIDS announces "Data Science By Design"

This article cross-posted from: Data Science By Design By Ciera Martinez, Váleri Vásquez, and Sara Stoudt  January 28 2021  |  Data Science By Design, Medium

Berkeley’s data science leader dedicated to advancing diversity in computing

This article is cross-posted from  Berkeley’s data science leader dedicated to advancing diversity in computing  January 27, 2021  |  Kara Manke  |  Berkeley News

BIDS Data Science Fellow Váleri Vásquez named 2021 Microsoft Research PhD Fellow

Microsoft Research has selected BIDS Data Science Fellow Váleri Vásquez as one of ten PhD fellows recognized for their innovative research and capacity for future leadership. Fellows are chosen following a highly competitive process open to candidates throughout North America, and they are awarded two years of tuition and fees in addition to being invited to present their dissertation research at a two day workshop hosted by Microsoft Research.