While prior diversity management research has extensively focused on having a representative workforce in public organizations, recent discussions on racism and social equity have shed light on the importance of an inclusive work environment, where individuals feel integrated into organizations and involved in organizational processes. Perceived inclusion in the workplace, defined as the extent to which individuals perceive they are part of significant organizational processes, is the core theme of this dissertation. This study focuses on the perceived inclusion of academic scientists in the US. Inclusion of Scholars of Color (SOCs) and women in science is of particular importance given the low representation and retention of SOCs and women as well prolonged marginalization in academic science.This dissertation aims to understand what shapes perceived inclusion in the workplace by looking at how the demographic and social compositions of one’s social environment shape individuals’ perceptions of workplace inclusion. Focusing on race and gender, the dissertation recognizes the relative and contingent relationships among individuals and networks that affect perceived inclusion. To investigate, I ask two key questions, each focusing on different social structures and their interplay: 1. How do different aspects of social structure in networks (demographics, social network structural characteristics, social network compositional characteristics) influence perceived inclusion in the workplace? 2. How do individuals’ demographic attributes shape the impacts of social structures on workplace inclusion? To explore these questions, I draw from social identity theories, focusing on intergroup relations, and social capital theory to develop hypotheses. To investigate how social network structures shape inclusion in the workplace, I use a 2011 National Science Foundation-funded national survey of Science, Technology, Engineering, and Mathematics (STEM) faculty in four science fields (biology, biochemistry, civil engineering, and mathematics) at diverse types of higher education institutions. I find that perceived inclusion is a function of social network structure, but the effects depend on the demographic characteristics of the individual and the network. I conclude this study with a discussion about the implications of findings for future research and diversity and inclusion policies.

This dissertation examines gender differences in career advancement outcomes among academic science, technology, engineering and mathematics (STEM) scientists. In particular, this research examines effects of gender, PhD advisors and postdoctoral supervisors mentoring resources and gender homophily in the mentoring dyads on the career advancement outcomes at early career stages.

Female academic scientists have disadvantages in the career progress in the academic STEM. They tend to fall behind throughout their career paths and to leave the field compared to their male colleagues. Researchers have found that gender differences in the career advancement are shaped by gender-biased evaluations derived from gender stereotypes. Other studies demonstrate the positive impacts of mentoring and gender homophily in the mentoring dyads. To add greater insights to the current findings of female academic scientists’ career disadvantages, this dissertation investigates comprehensive effects of gender, mentoring, and gender homophily in the mentoring dyads on female scientists’ career advancement outcomes in academic science.

Based on the Status Characteristics Theory, the concept of mentoring, Social Capital Theory, and Ingroup Bias Theory, causal path models are developed to test direct and indirect effects of gender, mentoring resources, and gender homophily on STEM faculty’s career advancement. The research models were tested using structural equation modeling (SEM) with data collected from a national survey, funded by the National Science Foundation, completed in 2011 by tenured and tenure-track academic STEM faculty from higher education institutions in the United States. Findings suggest that there is no gender difference in career advancement controlling for mentoring resources and gender homophily in the mentoring dyads and other factors including research productivity and domestic caregiving responsibilities. Findings also show that the positive relationship between gender homophily in mentoring dyads and the reception of the mentoring resources, especially regarding providing help on career development and research collaboration, lead to enhanced early stage career advancement. Insights from the findings contribute both to theoretical understandings of the overall effects of gender, mentoring, and gender homophily in the mentoring dyads on female academic scientists’ career advancement at early career stages and to provide evidence of positive effects of same-gender mentoring dyads to universities.

Science can help inform policy decisions by providing information on the risks and benefits of a technology. In the field of nanotechnology, which is characterized by high degree of complexity and uncertainty, there are high demands for scientists to take an active role in policy debates with regulators, policy-makers and the public. In particular, policy-makers often rely on scientific experts to help them make decisions about regulations. However, scientists’ perceptions about policy and public engagement vary based on their individual characteristics, values, and backgrounds. Although many policy actors are involved in nanotechnology policy process, there are few empirical studies that focus on the establishment of coalitions and their impact on policy outputs, as well as the role of scientists in the coalitions. Also, while the Environmental Protection Agency (EPA) has regulatory authority over nanoscale materials, there is a lack of literature that describes the use of science on EPA’s decision making of nanotechnology.

In this dissertation, these research gaps are addressed in three essays that explore the following research questions: (1) how are nano-scientists’ individual characteristics and values associated with their perceptions of public engagement and political involvement? (2) how can the Advocacy Coalition Framework (ACF) can be applied to nanotechnology policy subsystem? and (3) how does the EPA utilize science when making regulatory decisions about nanotechnology? First, using quantitative data from a 2011 mail survey of elite U.S. nanoscientists, the dissertation shows that scientists are supportive of engaging with policy-makers and the public about their results. However, there are differences among scientists based on their individual characteristics. Second, qualitative interview analysis suggests that there are two opposing advocacy groups with shared beliefs in the nanotechnology policy subsystem. The lineup of coalition members is stable over time, while the EPA advocates less consistent positions. The interview data also show a significant role of scientific information in the subsystem. Third, the dissertation explains the EPA’s internal perspective about the use of science in regulatory decision making for nanotechnology. The dissertation concludes with some lessons that are applicable for policy-making for emerging technologies.

Conflict over management of natural resources may intensify as population growth, development, and climate change stress natural systems. In this dissertation, the role of policy networks implementing Habitat Conservation Plans (HCPs) is examined. As explored here, policy networks are groups that come together to develop and implement terms of HCPs. HCPs are necessary for private landowners to receive Incidental Take Permits (ITPs) from the U.S. Fish and Wildlife Service (USFWS) if approved development activities may result in take of threatened or endangered species. ITPs may last up to 100 years or more and be issued to individual or multiple landowners to accomplish development and habitat conservation goals within a region.

Theoretical factors in the implementation and policy network literatures relevant to successful implementation of environmental agreements are reviewed and used to examine HCP implementation. Phase I uses the USFWS Environmental Conservation Online System (ECOS) database to identify characteristics of policy networks formed to implement HCPs within the State of California, and how those networks changed since the creation of HCPs in 1982 by amendment of the 1973 Endangered Species Act. Phase II presents a single, complex, multiple-party HCP case selected from Phase I to examine the policy network formed, the role of actors in this network, and network successes and implementation barriers.

This research builds upon the implementation literature by demonstrating that implementation occurs in stages, not all of which are sequential, and that how implementation processes are structured and executed has a direct impact on perceptions of success.

It builds upon the policy network literature by demonstrating ways that participation by non-agency actors can enhance implementation; complex problems may better achieve conflicting goals by creating organizational structures made up of local, state, federal and non-governmental entities to better manage changing political, financial, and social conditions; if participants believe the transaction costs of maintaining a network outweigh the benefits, ongoing support may decline; what one perceives as success largely depends upon their role (or lack of a role) within the policy network; and conflict management processes perceived as fair and equitable significantly contribute to perceptions of policy effectiveness.