Daniel Larremore

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Associate Professor

University of Colorado Boulder

United States

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About

Daniel Larremore is an Associate Professor at the University of Colorado Boulder, USA. His research interests include the modeling of infectious disease transmission, gender dynamics in academic retention, and the socioeconomic factors influencing faculty demographics. Recent articles authored by Professor Larremore explore various academic and public health topics, such as COVID-19 seroprevalence and the impact of faculty hiring practices.

Recent Grants

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Collaborative Research: Academic hiring networks and scientific productivity across disciplines

Open Date: 2016-09-01

Close Date: 2019-08-31

Articles (15)

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2021

Collaborators (5)

Nicole Eikmeier

Assistant Professor

Grinnell College

UNITED STATES

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KRISTEN BJORKMAN

University of Colorado Boulder

UNITED STATES

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Jennie Brand

Professor

UCLA

UNITED STATES

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Abhishek Bhatia

Harvard University

UNITED STATES

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AARON CLAUSET

University of Colorado Boulder

UNITED STATES

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Daniel Larremore

Research Interests

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About

Recent Grants

Articles (15)

Modeling the transmission mitigation impact of testing for infectious diseases

Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis

Gender and retention patterns among U.S. faculty

Field-specific ability beliefs as an explanation for gender differences in academics’ career trajectories: Evidence from public profiles on ORCID.Org.

Community-based seroprevalence of SARS CoV-2 in an urban district of Karachi, Pakistan

Subfield prestige and gender inequality among U.S. computing faculty

Labor advantages drive the greater productivity of faculty at elite universities

Quantifying hierarchy and dynamics in US faculty hiring and retention

Bayesian estimation of community size and overlap from random subsamples

Socioeconomic roots of academic faculty

SARS-CoV-2 transmission and impacts of unvaccinated-only screening in populations of mixed vaccination status

A guide to choosing and implementing reference models for social network analysis

Modeling the effectiveness of olfactory testing to limit SARS-CoV-2 transmission

Emergence of hierarchy in networked endorsement dynamics

Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys

Collaborators (5)

Nicole Eikmeier

KRISTEN BJORKMAN

Jennie Brand

Abhishek Bhatia

AARON CLAUSET

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