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Berkeley Computational Social Science Training Program: Call for Fellowship Nominations

/ March 17, 2021

Update April 21, 2021: The deadline for submitting nominations has been extended to April 29, 2021. UC Berkeley’s Computational Social Science Training Program (CSSTP) announces its 2021 call for nominations for the second cohort of CSSTP Fellows.

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New Deepfakes Signal That Near Flawless Forgeries May Be Here

/ March 11, 2021

In this recent All Things Considered podcast, BIDS Faculty Affiliate Hany Farid talks with NPR's Emma Bowman about the "misinformation apocalypse," the evolving sophistication of video technology and how recent advancements in machine learning are enabling the creation and proliferation of impressively believable "deepfake" videos. "This is clearly a new category of deepfake that we have not seen before," said Farid, who researches digital forensics and misinformation.

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A Day In The Half Life: Dark Energy

/ March 10, 2021

In the latest episode of Berkeley Lab's new podcast series A Day In The Half Life, BIDS Faculty Director Saul Perlmutter, a professor in UC Berkeley's department of Physics and a 2011 Nobel Laureate — and the co-discoverer of dark energy — talks with LBL Science Writer Aliyah Kovner and Claire Poppett, the Lead Fiber Scientist for Berkeley Lab's Dark Energy Spectroscopic Instrument (DESI) and an Assistant Research Physicist in UC Berkeley's Space Sciences Laboratory.  

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GraphXD: Network analysis for data science applications across STEAM

Adam G. Anderson / February 26, 2021

Graphs are models of data, and are used to analyze and visualize different features / variables across a dataset. They have proven to be useful in providing at-a-glance summaries (e.g. ‘signals’) of big and complex datasets. Typically a Euclidean graph (with X and Y axes, representing one dimension each) can only view two dimensions of a given dataset. In order to view multiple dimensions in the same graph, one needs to employ non-Euclidean methods, and this is why networks are so useful.

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Eight priorities for calculating the social cost of carbon

/ February 22, 2021

In this recent commentary in Nature, BIDS Faculty Affiliate David Anthoff and colleagues present eight clear steps to effectively recalculate the social cost of carbon (SCC), a metric that is used in cost–benefit analyses to inform climate policy by putting a monetary value on the harmful environmental and human health effects of climate change.

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A community based approach to universal energy access

/ February 18, 2021

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.