Bailey K Fosdick
Biographic Data
| ID | 4163843 |
|---|---|
| NAME | Bailey K Fosdick |
| GIVEN NAMES | Bailey K |
| FAMILY NAME | Fosdick |
| SIGNATURE | FOSDICK B K |
| AFFILIATIONS | Colorado State University |
| ORCID | 0000-0003-3736-2219 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Regression of binary network data with exchangeable latent errors
Undirected, binary network data consist of indicators of symmetric relations between pairs of actors. Regression models of such data allow for the estimation of effects of exogenous covariates on the network and for prediction of unobserved data. Ideally, estimators of the regression parameters should account for the inherent dependencies among relations in the network that involve the same actor. To account for such dependencies, researchers hav…
The impact of gender diversity on scientific research teams
Multiple studies from the literature suggest that a high proportion of women on scientific teams contributes to successful team collaboration, but how the proportion of women impacts team success and why this is the case, is not well understood. One perspective suggests that having a high proportion of women matters because women tend to have greater social sensitivity and promote even turn-taking in meetings. Other studies have found women are m…
Towards understanding the characteristics of successful and unsuccessful collaborations
Scientific breakthroughs for complex, large-scale problems require a combination of contributory expertize, disciplinary expertize, and interactional expertize, or socialized knowledge. There is, however, little formal recognition of what expertize is important for team success, and how to evaluate different types of contributions. This is problematic for the field of the Science of Team Sciences (SciTS). Funding is increasing for team science gl…
Assessing the burden of Covid-19 in developing countries
Interpersonal relationships drive successful team science
Scientists are increasingly charged with solving complex societal, health, and environmental problems. These systemic problems require teams of expert scientists to tackle research questions through collaboration, coordination, creation of shared terminology, and complex social and intellectual processes. Despite the essential need for such interdisciplinary interactions, little research has examined the impact of scientific team support measures…
Women 1.5 Times More Likely to Leave STEM Pipeline after Calculus Compared to Men
The substantial gender gap in the science, technology, engineering, and mathematics (STEM) workforce can be traced back to the underrepresentation of women at various milestones in the career pathway. Calculus is a necessary step in this pathway and has been shown to often dissuade people from pursuing STEM fields. We examine the characteristics of students who begin college interested in STEM and either persist or switch out of the calculus sequ…
World population stabilization unlikely this century
The United Nations (UN) recently released population projections based on data until 2012 and a Bayesian probabilistic methodology. Analysis of these data reveals that, contrary to previous literature, the world population is unlikely to stop growing this century. There is an 80% probability that world population, now 7.2 billion people, will increase to between 9.6 billion and 12.3 billion in 2100. This uncertainty is much smaller than the range…
Regional probabilistic fertility forecasting by modeling between-country correlations
BACKGROUND: The United Nations (UN) Population Division produces probabilistic projections for the total fertility rate (TFR) using the Bayesian hierarchical model of Alkema et al. (2011), which produces predictive distributions of the TFR for individual countries. The UN is interested in publishing probabilistic projections for aggregates of countries, such as regions and trading blocs. This requires joint probabilistic projections of future cou…
Likelihoods for fixed rank nomination networks
Many studies that gather social network data use survey methods that lead to censored, missing, or otherwise incomplete information. For example, the popular fixed rank nomination (FRN) scheme, often used in studies of schools and businesses, asks study participants to nominate and rank at most a small number of contacts or friends, leaving the existence of other relations uncertain. However, most statistical models are formulated in terms of com…
Likelihoods for fixed rank nomination networks
Many studies that gather social network data use survey methods that lead to censored, missing, or otherwise incomplete information. For example, the popular fixed rank nomination (FRN) scheme, often used in studies of schools and businesses, asks study participants to nominate and rank at most a small number of contacts or friends, leaving the existence of other relations uncertain. However, most statistical models are formulated in terms of com…
Regional probabilistic fertility forecasting by modeling between-country correlations
BACKGROUND: The United Nations (UN) Population Division produces probabilistic projections for the total fertility rate (TFR) using the Bayesian hierarchical model of Alkema et al. (2011), which produces predictive distributions of the TFR for individual countries. The UN is interested in publishing probabilistic projections for aggregates of countries, such as regions and trading blocs. This requires joint probabilistic projections of future cou…
World population stabilization unlikely this century
The United Nations (UN) recently released population projections based on data until 2012 and a Bayesian probabilistic methodology. Analysis of these data reveals that, contrary to previous literature, the world population is unlikely to stop growing this century. There is an 80% probability that world population, now 7.2 billion people, will increase to between 9.6 billion and 12.3 billion in 2100. This uncertainty is much smaller than the range…
Regional probabilistic fertility forecasting by modeling between-country correlations
BACKGROUND: The United Nations (UN) Population Division produces probabilistic projections for the total fertility rate (TFR) using the Bayesian hierarchical model of Alkema et al. (2011), which produces predictive distributions of the TFR for individual countries. The UN is interested in publishing probabilistic projections for aggregates of countries, such as regions and trading blocs. This requires joint probabilistic projections of future cou…
Women 1.5 Times More Likely to Leave STEM Pipeline after Calculus Compared to Men
The substantial gender gap in the science, technology, engineering, and mathematics (STEM) workforce can be traced back to the underrepresentation of women at various milestones in the career pathway. Calculus is a necessary step in this pathway and has been shown to often dissuade people from pursuing STEM fields. We examine the characteristics of students who begin college interested in STEM and either persist or switch out of the calculus sequ…
Interpersonal relationships drive successful team science
Scientists are increasingly charged with solving complex societal, health, and environmental problems. These systemic problems require teams of expert scientists to tackle research questions through collaboration, coordination, creation of shared terminology, and complex social and intellectual processes. Despite the essential need for such interdisciplinary interactions, little research has examined the impact of scientific team support measures…
The impact of gender diversity on scientific research teams
Multiple studies from the literature suggest that a high proportion of women on scientific teams contributes to successful team collaboration, but how the proportion of women impacts team success and why this is the case, is not well understood. One perspective suggests that having a high proportion of women matters because women tend to have greater social sensitivity and promote even turn-taking in meetings. Other studies have found women are m…
Towards understanding the characteristics of successful and unsuccessful collaborations
Scientific breakthroughs for complex, large-scale problems require a combination of contributory expertize, disciplinary expertize, and interactional expertize, or socialized knowledge. There is, however, little formal recognition of what expertize is important for team success, and how to evaluate different types of contributions. This is problematic for the field of the Science of Team Sciences (SciTS). Funding is increasing for team science gl…
Assessing the burden of Covid-19 in developing countries
Regression of binary network data with exchangeable latent errors
Undirected, binary network data consist of indicators of symmetric relations between pairs of actors. Regression models of such data allow for the estimation of effects of exogenous covariates on the network and for prediction of unobserved data. Ideally, estimators of the regression parameters should account for the inherent dependencies among relations in the network that involve the same actor. To account for such dependencies, researchers hav…
Likelihoods for fixed rank nomination networks
Many studies that gather social network data use survey methods that lead to censored, missing, or otherwise incomplete information. For example, the popular fixed rank nomination (FRN) scheme, often used in studies of schools and businesses, asks study participants to nominate and rank at most a small number of contacts or friends, leaving the existence of other relations uncertain. However, most statistical models are formulated in terms of com…
Computer Science (5 works) · Sociology (4 works) · Interdisciplinary Research and Collaboration (3 works) · Mathematics (3 works) · Political science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Demography (2 works) · Econometrics (2 works) · Economics (2 works)