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Hicks, Diana

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Now showing 1 - 4 of 4
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Best Practices in Research Metrics: A Conversation With the Lead Author of the Leiden Manifesto

2020-10-13 , Hicks, Diana

Join Professor Diana Hicks of the Georgia Tech School of Public Policy for a conversation about the Leiden Manifesto for Research Metrics. There will be a high level overview of the 10 principles to guide research evaluation followed by a participant driven Q&A with Professor Hicks. This event is hosted by the Georgia Tech Library and the School of Public Policy.

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A Review of National University Research Evaluation and Funding Systems

2011-09-15 , Hicks, Diana

This paper aims to provide an overview of performance-based funding systems for public research in research intensive universities. It explores the types of performance-based funding systems in use, their rationale, goals and features. The design and administration of the systems is also examined, specifically, the level of consultation and negotiation that takes place with the tertiary institutions, and how the funding systems interact with other facets of the funding environment. Finally the paper explores the arguments that have emerged for and against the different types of funding systems, and whether any consensus is emerging as to a state-of-the-art system.

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Big Data

2015-09-25 , Hicks, Diana , Banzhaf, Melissa R. , Youtie, Jan L. , Forman, Chris M.

This event featured opening remarks from Professor Diana Hicks (School of Public Policy) and presentations from ARDC Administrator Melissa R. Banzhaf, Adjunct Associate Professor Jan Youtie (Public Policy), and Professor Chris Forman (Scheller College of Business). The speakers discussed various ARDC projects involving the statistical analysis of economic, demographic and health Census data. They also fielded questions and gave advice pertaining to how Georgia Tech students and faculty can utilize the ARDC for their own projects.

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Systemic Data Infrastructure for Innovation Policy

2011-09-17 , Hicks, Diana

Progress on the vision laid out in the Science of Science Policy Roadmap requires a move to system level thinking and analysis in the study of technology development. System level analysis will require systemic data infrastructure. The need for such an infrastructure is increasingly explicitly recognized at the national level. This paper will review infrastructure efforts including previous US-based infrastructure, national research documentation systems used in systemic evaluations, the Community Innovation Survey in Europe, Lattes in Brazil, the NRC ranking of US graduate programs. The strengths and weaknesses of each approach will be compared, and key issues will be identified.