Organizational Unit:
School of Public Policy

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Now showing 1 - 5 of 5
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    Student Centrality in University-Industry Interactions
    (Georgia Institute of Technology, 2006-07-14) Ponomariov, Branco Leonidov
    This thesis proposes and estimates a model of university scientists interactions with the private sector; in this model students are conceptualized as an important enabler of such interactions. The results of the study show that university scientists student-related behaviors such as grant support of students and research collaboration with students, and student-related attitudes such as mentoring orientation positively affect the probability that scientists will enter interactions with industry as well as the intensity of such interactions. Behaviors such as teaching and advising of students are not related to interactions with industry. This study is motivated by the increased emphasis on closer relationships between universities and industry as a means to facilitate the commercial application of university research. Today, numerous policies and programs attempt to achieve such goals. As a result, university scientists are called on to perform many tasks which on the surface seem misaligned. There is substantial study of conflict between the teaching and research missions of universities, and a growing body of study on conflict related to university based commercial and technology transfer related activities. Fewer, there are studies suggesting that these activities are not so misaligned after all. This study falls into the latter category as it posits a complementary relationship between university scientists student related activities and their work related interactions with industry, research and otherwise. Speculations regarding the importance of students in university industry relations and indirect evidence are scattered through the relevant literature, but little or no systematic empirical tests of their importance exist. This study uses data from a national survey of university researchers to discern the centrality of students to university-industry interactions. Theoretically, students are conceptualized as a dimension of university scientists respective research capacities that enable cross-sectoral processes of accumulative advantage and thereby help to enable their interactions with industry. As a component of scientists scientific and technical human capital, students help university scientists to identify and act upon on research opportunities originating in the private sector. Moreover, students increase the appeal of university scientists to industry agents seeking research partners in academe. Implications for theory and policy are discussed.
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    Impacts of Discipline Mobility on Scientific Productivity
    (Georgia Institute of Technology, 2005-05-18) Kim, Euiseok
    This study examines curriculum vitae (CV) data from 447 scientists and engineers at academic research centers in the United States, ranging from post-doctoral researchers to full professors and research directors in order to figure out the pattern of scientific discipline trajectory and the relation of the scientists discipline mobility to productivity. This study shows that natural sciences have highest percentage of scientists who have the same bachelors degree field as their highest degree field and higher degree of mobility across the disciplines is negatively associated with their productivity. On the contrary, for life sciences, higher degree of mobility across the disciplines is positively associated with scientific productivity.
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    Foreign-born scientists in the United States –do they perform differently than native-born scientists?
    (Georgia Institute of Technology, 2004-12-01) Lee, Sooho
    Are foreign-born scientists different from native-born scientists with respect to research activity and performance? This question has important policy implications not only for immigration policy but also for science policy because a substantial part of scientific research in the United States is conducted by foreign-born scientists. This study examines the differences between foreign-born and native-born scientists in research collaboration, grants, and publication productivity. The data for this study are 443 curricula vitae (CVs) and survey of scientists and engineers that Research Value Mapping Program (RVM) at Georgia Tech conducted from 2000 to 2001. By using the multiple indicators, the findings show that foreign-born scientists do not differ significantly in research collaboration and grants from their native-born counterparts. But in terms of publication productivity, foreign-born scientists are consistently more productive than their native-born counterparts. This study also examines the impact of being foreign-born on research collaboration, grants, and productivity, and which factors account for the differences between foreign-born and native-born scientists in collaboration, grants, and productivity. When other relevant variables are controlled for, being foreign-born still has a strong positive effect on publication productivity. Collaboration and grants have a significant positive effect only on the productivity of native-born scientists, whereas strong research preference of foreign-born scientists contributes to their relatively higher productivity. Differences are also found among foreign-born scientists, largely depending on their national origin categorized by the similarity of language and culture. The theoretical and policy implications are also discussed.
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    Scientists and Engineers in Academic Research Centers An Examination of Career Patterns and Productivity
    (Georgia Institute of Technology, 2004-03-03) Dietz, James Scott
    Science policymakers and research evaluators are increasingly focusing on alternative methods of assessing the public investment in science and engineering research. Over the course of the last 20 years, scientific and engineering research centers with ties to industry have become a permanent fixture of the academic research landscape. Yet, much of the research on the careers patterns and productivity of researchers has focused on scientists rather than engineers, specific job changes rather than the career as a whole, and publication productivity measures rather than patent outcomes. Moreover, much of the extant research on academic researchers has focused exclusively on the academic component of careers. As universities increasingly take on roles than were once considered the responsibility of the private sectorsuch as securing patentsand build greater ties with industry, it is timely to reexamine the nature of the contemporary academic career. In this research, I draw on scientific and technical human capital theory to situate the central research question. Specifically, I examine the nature of the career pattern and publication and patent rates of scientists and engineers affiliated with federally-supported science and engineering research centers. The research makes use of curriculum vita (CV) data collected through the Research Value Mapping Program headquartered at the School of Public Policy. Tobit, Poisson, and Neural Network models are used in analyzing the data. In addition, I examine the career patterns of highly productive scholars and contrast those with less productive scholars. The findings suggest that the ways in which academic productivity and career patterns have been conceived may be in need of revision, with a greater attention to diverse productivity outcomes and diverse career patterns. Some of the interpretations of empirical findings in the literature may be misconceived. Moreover, it may be the case that postdoctoral fellowshipa common component of government support for scientific and engineering researchmay be associated with lower career productivity rates. This research contributes to our understanding of research careers with implications for public research policies. Finally, the relatively new method of analyzing CVs and appropriate modeling techniques and the challenges posed by this method are discussed.