Mathematica-mpr.com is now Mathematica.org. Please update your bookmarks. Learn more about this change.
STEM Data Collection and Management
Collecting high quality data is a critical component of STEM research and evaluations, and it is central to stand-alone national surveys used to provide up-to-date statistics to enable researchers and policymakers to monitor the size and characteristics of the scientific workforce. Data collections involve identifying and sampling the appropriate populations, developing instruments, and collecting data through alternative and innovative methods. Data management involves documenting and maintaining information about those in the scientific workforce for the use of researchers and policymakers.
Research Experiences for Undergraduates: Developing an Evaluation Framework and Pilot-Testing a Longitudinal Tracking System
Mathematica is designing an evaluation framework and pilot data system that would enhance the National Science Foundation’s ability to monitor the Research Experiences for Undergraduates program and to conduct evaluations with increasing level of rigor in the future.
National Research Council Assessment of Research Doctorate Programs
Mathematica conducted the 2006 National Research Council assessment of doctoral research programs, which gathered information about doctoral programs in more than 60 areas of study in American universities.