News

Deb Agarwal named interim director of Berkeley Lab’s new Scientific Data (SciData) Division

Rediet Abebe awarded 2022 Andrew Carnegie Fellowship

Bin Yu delivers UNC Hotelling Lectures

BIDS Faculty Affiliate Bin Yu presented the Hotelling Lectures as part of an annual event hosted by the Department of Statistics & Operations Research at the University of North Carolina – Chapel Hill.  Bin Yu to deliver Hotelling Lectures April 13, 2022  |   UNC News

The battle against online disinformation is urgent. Here’s what it looks like in Europe.

This article is cross-posted with The battle against online disinformation is urgent. Here’s what it looks like in Europe. April 25, 2022  |   Rachel Leven   |   CDSS News ___________________________

The computer says no. But can I believe him? Thoughts on auditing artificial intelligence with Anni Hellman

This article is cross-posted from The computer says no. But can I believe him? Thoughts on auditing artificial intelligence with Anni Hellman April 20, 2022  |   CLTC News ___________________________

Timnit Gebru and DAIR: Creating a new incentive structure for AI research

Mothra: BIDS-developed computer vision pipeline used in new study to evaluate environmental impacts of climate change

BIDS’ researchers Alex de Siqueira and Stéfan van der Walt have been working with a team of researchers from London’s Natural History Museum and the University of Southampton to analyze over 180,000 photographed specimens from the Natural History Museum’s digitized butterfly collections in order to evaluate the impacts of climate change. 

Fernando Pérez to co-lead UC Berkeley’s new Schmidt Center for Data Science and the Environment

BIDS Faculty Affiliate Fernando Pérez will co-lead the new Schmidt Center for Data Science and the Environment (DS4E) at UC Berkeley.  The new research center will combine data science and environmental science to address environmental challenges such as climate change and biodiversity – e.g. developing models to predict wildfires and building tools that optimize carbon capture methods – with a focus on practical, replicable, open-access solutions scaled for society’s benefit.

The data lifecycle problem: An opportunity for data scientists

Mobile phone data and machine learning improve targeted humanitarian aid in Togo