Jennifer serves CIOs and their business partners with research on business technology adoption, particularly in the public sector. Jennifer looks both at the macro-level trends facing society and business and at the micro-level challenges to achieving business objectives. She is currently focused on the role of technology in transforming government, with an emphasis on open data initiatives and citizen engagement.
Jennifer 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. She has also recently written on the future of work as demographic, economic, and geopolitical forces affect the workforce. Jennifer's research and analysis have appeared in media outlets such as The Wall Street Journal, Time Magazine, Computer Weekly, and CIO Magazine. Jennifer has also published in numerous academic journals and spoken widely at academic and business events.
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.