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Allison C Morgan

Biographic Data

ID248548
NAMEAllison C Morgan
GIVEN NAMESAllison C
FAMILY NAMEMorgan
SIGNATUREMORGAN A C
AFFILIATIONSUniversity of Colorado Boulder
ORCID0000-0003-2926-2162
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS17
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2022
H-INDEX2
  • Socioeconomic roots of academic faculty

    Open Access•Allison C Morgan, Nicholas Laberge et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 14•References: 61

    Despite the special role of tenure-track faculty in society, training future researchers and producing scholarship that drives scientific and technological innovation, the sociodemographic characteristics of the professoriate have never been representative of the general population. Here we systematically investigate the indicators of faculty childhood socioeconomic status and consider how they may limit efforts to diversify the professoriate. Co…

  • The unequal impact of parenthood in academia

    Open Access•Allison C Morgan, Samuel F Way et al.•ARTICLE•Science Advances•2021

    Parenthood causes an unequal impact to the productivity of women in academia, taking 5 years for them to catch up to men.

  • Measuring the predictability of life outcomes with a scientific mass collaboration

    Open Access•M J Salganik, Ian Lundberg et al.•ARTICLE•Proceedings of the National…•2020

    How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…

  • Humans in the Loop

    Open Access•Anna Filippova, Connor Gilroy et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 3•References: 12

    Survey data sets are often wider than they are long. This high ratio of variables to observations raises concerns about overfitting during prediction, making informed variable selection important. Recent applications in computer science have sought to incorporate human knowledge into machine-learning methods to address these problems. The authors implement such a 'human-in-the-loop' approach in the Fragile Families Challenge. The authors use surv…

  • Socioeconomic roots of academic faculty

    Open Access•Allison C Morgan, Nicholas Laberge et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 14•References: 61

    Despite the special role of tenure-track faculty in society, training future researchers and producing scholarship that drives scientific and technological innovation, the sociodemographic characteristics of the professoriate have never been representative of the general population. Here we systematically investigate the indicators of faculty childhood socioeconomic status and consider how they may limit efforts to diversify the professoriate. Co…

  • Humans in the Loop

    Open Access•Anna Filippova, Connor Gilroy et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 3•References: 12

    Survey data sets are often wider than they are long. This high ratio of variables to observations raises concerns about overfitting during prediction, making informed variable selection important. Recent applications in computer science have sought to incorporate human knowledge into machine-learning methods to address these problems. The authors implement such a 'human-in-the-loop' approach in the Fragile Families Challenge. The authors use surv…

  • Humans in the Loop

    Open Access•Anna Filippova, Connor Gilroy et al.•ARTICLE•Socius Sociological Research for…•2019•Cited by: 3•References: 12

    Survey data sets are often wider than they are long. This high ratio of variables to observations raises concerns about overfitting during prediction, making informed variable selection important. Recent applications in computer science have sought to incorporate human knowledge into machine-learning methods to address these problems. The authors implement such a 'human-in-the-loop' approach in the Fragile Families Challenge. The authors use surv…

  • Measuring the predictability of life outcomes with a scientific mass collaboration

    Open Access•M J Salganik, Ian Lundberg et al.•ARTICLE•Proceedings of the National…•2020

    How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly…

  • The unequal impact of parenthood in academia

    Open Access•Allison C Morgan, Samuel F Way et al.•ARTICLE•Science Advances•2021

    Parenthood causes an unequal impact to the productivity of women in academia, taking 5 years for them to catch up to men.

  • Socioeconomic roots of academic faculty

    Open Access•Allison C Morgan, Nicholas Laberge et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 14•References: 61

    Despite the special role of tenure-track faculty in society, training future researchers and producing scholarship that drives scientific and technological innovation, the sociodemographic characteristics of the professoriate have never been representative of the general population. Here we systematically investigate the indicators of faculty childhood socioeconomic status and consider how they may limit efforts to diversify the professoriate. Co…

Computer Science (2 works) · Demographic economics (2 works) · Diversity and Career in Medicine (2 works) · Economic growth (2 works) · Economics (2 works) · Machine learning (2 works) · Mathematics (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work)

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