Larremore

Think you might have COVID? Wait 2 days to test

Anonymous — Tue, 25 Jun 2024 21:23:14 +0000

Think you might have COVID? Wait 2 days to test Anonymous (not verified) Tue, 06/25/2024 - 15:23

CS professor Dan Larremore's lab builds new model to see when to test for COVID.

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Women Make Global Gains as Researchers, but Gaps Persist

Anonymous — Tue, 11 Jun 2024 17:34:24 +0000

Women Make Global Gains as Researchers, but Gaps Persist Anonymous (not verified) Tue, 06/11/2024 - 11:34

A large-scale global study found that while the number of women in academic research is growing, STEM fields remain dominated by men.

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Professor accepts prestigious Erdős–Rényi Prize in network science

Anonymous — Fri, 14 Jul 2023 22:16:33 +0000

Professor accepts prestigious Erdős–Rényi Prize in network science Anonymous (not verified) Fri, 07/14/2023 - 16:16

Grace Wilson

Daniel Larremore, an associate professor of computer science at CU Boulder, was awarded the prestigious Erdős–Rényi Prize in network science today in Vienna, Austria, for his internationally recognized work on COVID-19 and network epidemiology.

The Erdős–Rényi Prize is an annual award for young scientists under 40 in the field of network science. It recognizes outstanding contributions, both theoretical and experimental, that promote interdisciplinary progress. The prize includes a cash award, a personalized plaque and a prize lecture at the NetSci International School and Conference on Network Science.

Larremore was nominated for the prize by Mason Porter, professor of mathematics at University of California, Los Angeles; Alessandro Vespignani, professor of physics at Northwestern University; and Aaron Clauset, professor of computer science at CU Boulder.

"This is the top prize for early-career scientists in network science, and reflects Dan’s outstanding work on the role of networks in epidemiology and in developing powerful new methods for untangling complex network structures," said Clauset, who was awarded the Erdős–Rényi Prize in 2016, making CU Boulder the only institution in the world with multiple awardees.

Network science is a multidisciplinary field focused on understanding and leveraging the way interactions drive the structure and dynamics of diverse complex networks, such as social, biological and technological systems. The field has shed new light on how infectious diseases spread, on the resilience of ecosystems, and on how information diffuses across social networks, yielding new tools to predict and comprehend cross-network consequences.

Larremore, collaborating with members of his lab and partners at other institutions, played a vital role in addressing the COVID-19 pandemic. His work analyzing different vaccine prioritization strategies, published in Science magazine, informed the global policies of the World Health Organization. In 2022, he received the NSF Alan T. Waterman Award for this work, which is the nation’s highest honor for early career scientists in any field of study.

While Larremore's lab primarily focuses on developing statistically sound models to comprehend intricate biological and social systems, the lab’s broad expertise is evident in its collaborative work published in Nature, exploring hierarchy and dynamics in U.S. faculty hiring and retention.

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A handful of universities may control flow of ideas, people in academia

Anonymous — Mon, 26 Sep 2022 16:32:03 +0000

A handful of universities may control flow of ideas, people in academia Anonymous (not verified) Mon, 09/26/2022 - 10:32

Department of Computer Science professor Daniel Larremore, an NSF 2022 Waterman Award laureate, is a co-author in a new Nature journal article showing just five U.S. universities have trained 1-in-8 tenure-track faculty members. Larremore presents virtually on the research on Wednesday, September 28th.

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How a simple smell test could curb COVID-19 and help reopen the economy

Anonymous — Wed, 09 Dec 2020 22:45:41 +0000

How a simple smell test could curb COVID-19 and help reopen the economy Anonymous (not verified) Wed, 12/09/2020 - 15:45

A simple, scratch-and-sniff test could play a key role in curbing the spread of COVID-19, at a fraction of the cost of high-tech tests that are difficult to scale and take longer to return results, new CU Boulder research suggests.

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Frequent rapid testing could turn national COVID-19 tide within weeks

Anonymous — Fri, 20 Nov 2020 20:35:17 +0000

Frequent rapid testing could turn national COVID-19 tide within weeks Anonymous (not verified) Fri, 11/20/2020 - 13:35

Testing half the population weekly with inexpensive, rapid-turnaround COVID-19 tests would drive the virus toward elimination within weeks—even if those tests are significantly less sensitive than gold-standard clinical tests, according to a new study published today by CU Boulder and Harvard University researchers.

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CS researchers using Facebook data in the fight against COVID-19

Anonymous — Tue, 07 Apr 2020 19:39:46 +0000

CS researchers using Facebook data in the fight against COVID-19 Anonymous (not verified) Tue, 04/07/2020 - 13:39

Assistant Professors Dan Larremore and Ryan Layer have joined a nationwide study that seeks to use social media data to better understand how coronavirus cases might grow and travel in the coming weeks.

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Does faculty productivity really decline with age? New study says no

Anonymous — Wed, 18 Oct 2017 14:56:01 +0000

Does faculty productivity really decline with age? New study says no Anonymous (not verified) Wed, 10/18/2017 - 08:56

PhD students Samuel Way and Allison Morgan, along with assistant professors Aaron Clauset and Dan Larremore, publish new findings on faculty career trajectories.

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