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Benjamin Nachman receives 2021 Guido Altarelli Award

Marsha Fenner / April 20, 2021

BIDS Research Affiliate Benjamin Nachman has been awarded the 2021 Guido Altarelli Award. Nachman is a Staff Scientist in the Physics Division at LBNL where he is the group leader of the cross-cutting Machine Learning for Fundamental Physics group. The award recognizes Nachman's research contributions "for precision measurements of observables sensitive to jet substructure and use of innovative machine learning techniques."

BIDS and Accenture welcome first Global Environmental Change Research Fellow

Marsha Fenner / April 15, 2021

BIDS and Accenture Applied Intelligence are pleased to welcome R.J. Cody Markelz as the inaugural BIDS-Accenture Global Environmental Change Research Fellow. The Data Science and Global Environmental Change Independent Research Fellowship is a full-time two-year position at BIDS made possible by funding from Accenture Applied Intelligence. 

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Rediet Abebe: A Computer Scientist Who Tackles Inequality Through Algorithms

/ April 14, 2021

This article is cross-posted from  A Computer Scientist Who Tackles Inequality Through Algorithms: Rediet Abebe uses the tools of theoretical computer science to understand pressing social problems — and try to fix them. April 1, 2021  |  Rachel Crowell  |  Quanta Magazine  _________

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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.