Institutional Resilience Webinar Series
During times of uncertainty and fiscal challenge, critical up-to-date information about your research enterprise and position in the competitive landscape can help your institution emerge stronger after a crisis.
The consequences of pay transparency in academia on mobility, the gender pay gap, and pay determinants
Hear scholars Tomasz Obloj (HEC Paris) and Todd Zenger (University of Utah) discuss their research on pay transparency in the academy. Their project explores the impact of pay transparency on faculty mobility and the gender wage gap among academics in the United States. Academic Analytics is committed to providing data to researchers to explore important issues such as this, please request playback to hear about their project directly from the scholars.
Strategically growing your research enterprise with Academic Analytics
November 1 at 11:00am-12:00pm EDT
With medium-sized and emerging research universities in mind, Dr. George Walker (link to bio
) will lead this webinar. Dr. Walker brings his unique perspective from years of academic administrative service at universities of different sizes and with varying research goals. Our discussion will concentrate on identifying existing strengths on which to build and identifying unique areas in which to focus future research initiatives within a broad, national context or among your specific peer institutions.
Coupling Academic Analytics and NSF Higher Education Research and Development (HERD) survey databases to develop discipline-specific per capita research expenditure estimates
Presented by: Meaghann Wheelis, Senior Research and Planning Associate, Institutional Research and Testing, Baylor University and Kevin Chambliss, Graduate Program Director, Ecology, Earth, and Environmental Science, Baylor University.
Researchers at Baylor University developed a method to estimate total and per capita research expenditures based on Academic Analytics data (which does not report expenditures as part of its research grant data) in order to evaluate and strategically identify ways to improve discipline-specific research expenditures. Expenditure estimates are specific to each discipline, and this analysis allows users to facilitate comparisons to peer institutions (particularly those with stronger research profiles) whose per capita expenditure data are not publicly available. Additionally, this analysis provides a tool to assess current research activity and to identify areas that may need more faculty.
Data to Start the Conversation: Leveraging Metrics and Discovery Tools to Support the Research Agenda
Presented by George Walker, Senior Advisor, Academic Analytics
In this webinar, we will lead a discussion on using metrics and discovery tools to support an institution’s research agenda. This will include real-world examples where evidence-based strategies were implemented in the early stages of research and collaboration initiatives and the successes and challenges faced upon their implementation. We will also discuss Academic Analytics’ new Discovery Suite software tools which were specifically designed to aid in this type of strategic planning and “conversation starting.”
Data for the Humanities and Lettered Social Sciences: Metrics for all Disciplines
Hosted by Richard Wheeler, Senior Advisor, Academic Analytics, Professor of English Emeritus & Dean of the Graduate College Emeritus at the University of Illinois at Urbana-Champaign.
Data-driven analysis of scholarship should be available to all academic disciplines, and Academic Analytics strives to produce meaningful data tailored to each scholarly field. This webinar showcased several new features of our database and analytical toolkit that are especially valuable to humanities and lettered social science scholars where traditional citation and research grant metrics are not ideal. We demonstrated enhanced time-windows to expand the number of years data are tracked, deep and sophisticated book publications profiles and comparisons, and nuanced treatment of honorific awards from our massive proprietary database of honors.
Exploring Gender Inequalities Utilizing Scientometric Data
Recent bibliometric analyses have demonstrated pervasive gender disparities in terms of production and citation. However, these analyses have relied on two primary bibliometric databases, containing only publication and citation information. Academic Analytics provides a novel source of data, with richer disciplinary overview and more detailed individual-level information (e.g., funding, awards). We present here our initial analyses using Academic Analytics to explore gender disparities, discussing both the empirical findings and the technical challenges. We also provide a validation of Academic Analytics, using CVs and an alternative commercial bibliometric resource as comparative datasources.