has worked in P-20 education for over 15 years as an instructor, coordinator, and director at the local, state, and national levels, with focus on underserved and low-SES student populations.Throughout his time in education, Ryan has been an advocate and implementor of equitable instructional practices that incorporate culturally responsive and student focused learning, including socio-emotional learning, project-based learning, and stakeholder involvement in curriculum and programing.Ryan's research interests include the implementation and effectiveness of student-centered

Using unique, new, matched UMETRICS data on people employed on research projects and Author-ity data on biomedical publications, this paper shows that National Institutes of Health funding stimulates research by supporting the teams that conduct it. While faculty-both principal investigators (PIs) and other faculty-and their productivity are heavily affected by funding, so are trainees and staff. The largest effects of funding on research output are ripple effects on publications that do not include PIs. While funders focus on research output from projects, they would be well advised to consider how funding ripples through the wide range of people, including trainees and staff, employed on projects.

Marketing and strategy researchers have often studied how organizations navigate multiple identities in relation to category spanning but extant literature pays less attention to understanding how individuals do so. Moreover, current econometric approaches only scratch the surface with respect to addressing the impact of multiple identities in professional settings. As a model domain to study labor market returns when individuals have more than one identity, we focus on interdisciplinary dissertators in the United States since evidence shows clear uptrends in dissertators engaging multiple professional identities and unclear trends in their outcomes. Our novel estimation method leverages a two-step process to characterize salaries of interdisciplinary dissertators as functions of the identities (academic fields) they acquire as graduate students. We estimate a first-stage regression of log earnings for monodisciplinarians on field dummies and respondent characteristics. After capturing the estimated field coefficients, we then regress log earnings for interdisciplinarians on linear and non-linear functions of these coefficients. Our estimates robustly reject the hypothesis that interdisciplinarians receive a salary premium. We also find evidence that the academic market, but not other employment sectors, particularly compensates researchers based on their primary discipline, an outcome that challenges emphases on interdisciplinarity. While our findings for interdisciplinarians point to the primary identity holding predominant importance for doctoral graduates in the United States, our two-step method provides a framework for parsing and estimating the varied impacts of multiple identities across a wide range of contexts.

This paper investigates the local impact of biomedical research on mortality in the USA.Causally estimating the marginal value of biomedical research is challenging due to a lack of micro data linking health outcomes to plausibly exogenous variation in research.We create a new linkage between a research database (PubMed) and administrative death records that enables research to be related to mortality at the geographic, disease and time level.We then estimate the marginal impact of biomedical research on mortality using hospital market (HRR) level shocks to research activity by disease.Our identification strategy builds on the literature on the dissemination of knowledge, specifically that of local knowledge spillovers.By utilizing variation across diseases, time and distance from research we control for additional trends relative to the current literature.Our results show that an additional research publication on average reduces local mortality from a disease by 0.35%.Our results also provide novel evidence that there are health benefits to the local communities (local spillovers) in which biomedical research is conducted.