Jennifer serves AD&D Professionals and their business partners with research on business technology adoption, focusing primarily on the tools and services to help organizations better use and share data.
Jennifer is particularly interested in the role of technology and data in transforming government. She has written and spoken extensively on "smart city" initiatives as a way of managing the complexity of demographic changes and leveraging technology solutions in response to the demands of an increasingly urban population. Her research spans open data initiatives, citizen engagement, and governance tools, as well as the Internet of Things and connected urban infrastructure.
Jennifer's research and analysis have appeared in media outlets such as The Wall Street Journal, Time, Computer Weekly, and CIO Magazine. She has also published in numerous academic journals and spoken widely at academic and business events.
Previous Work Experience
Before joining Forrester, Jennifer spent eight years at Sun Microsystems in software product marketing, software sales enablement and development, and industry marketing and partner strategy for telecommunications and media. Prior to entering the high-tech world, Jennifer focused on public policy and reform, particularly in developing and transitioning countries. As a public policy analyst and consultant in Russia and Eastern Europe, she designed post-Communist housing reforms and advised governments on housing privatization, mortgage finance policies, and income-based assistance programs. As an educator in the Peace Corps in Central Africa, Jennifer taught high school math, designed national math curricula and exams, and conducted marketing workshops with local entrepreneurs.
Jennifer earned a Ph.D. and an M.A. in political science from Stanford University and a B.A. in economics from the University of Virginia. Her doctoral research focused on the fiscal and political relationships between regional governments and the central administration, combining quantitative analysis of regional budget data with extensive fieldwork in Moscow and three Russian regions — Udmurtiya, Novgorod, and Ulyanovsk.