Focused Research Groups (FRG) in the Mathematical Sciences

The mathematical sciences thrive on collaborative work, and certain research projects are best carried out by teams of investigators. The NSF Division of Mathematical Sciences (DMS) supports such research teams through the Focused Research Group (FRG) activity. Projects supported through FRG are scientifically highly focused, timely, and substantial in both scope and impact. Supported projects are essentially collaborative in nature, their success dependent on interaction of a group of researchers. Groups may (but need not) include, in addition to mathematical scientists, researchers from other scientific and engineering disciplines. Groups may (but need not) include researchers from several institutions. Award size is from $150,000 to $350,000 per year for up to three years duration. For more information, see the DMS FRG solicitation.

The FRG solicitation for Fiscal Year 2001 can be found at http://www.nsf.gov/cgi-bin/getpub?nsf00114

DMS Focused Research Group (FRG) Awards in FY 2000

• Fundamental Problems in the Dynamics of Thin Viscous Films and Fluid Interfaces

0074049	Andrea Bertozzi	Duke University
0073841	Michael Shearer	North Carolina State University

• Analytic and Geometric Properties of Discrete Groups - A Focused Research Group on the Novikov Conjecture and the Baum-Connes Conjecture
  

0074066	Jerome Kaminker	Indiana University
0074062	Nigel Higson	Pennsylvania State University
0073812	Shmuel Weinberger	University of Chicago

• Modeling and Simulation for Epitaxial Growth

0074152

Russel Caflisch

University of California, Los Angeles

• L-functions: Symmetry and Zeros

0074028

Brian Conrey

American Institute of Mathematics

• Collaborative Research on High Bit-Rate Communication: From Mathematical Development to Fiber Design

0073923

Christopher Jones

Brown University

• Optimal Transportation: Its Geometry and Applications

0074037

Wilfrid Gangbo

Georgia Institute of Technology

• Mathematical Theory and Numerical Methods for Microscale Biomedical Devices
  

  0074043

  Mitchell Luskin

  University of Minnesota

• Calabi-Yau Manifolds and their Applications
  

  0074072	David Morrison	Duke University
  0074126	Brian Greene	Columbia University
  0074177	Michael Douglas	Rutgers University

• Framework for Statistical Evaluation of Complex Computer Models
  

  0073952

  Jerome Sacks

  National Institute of Statistical Science

• Stochastic and Multiscale Structure Associated with the Navier Stokes Equations

0073958	Ed Waymire	Oregon State University
0073865	Rabindar Bhattacharya	Indiana University

• The Geometry of Duality in Mathematics and Physics

0074329	Cumrun Vafa	Harvard University
0073657	Sheldon Katz	Oklahoma State University

• Sequential Monte Carlo Methods and Their Applications

0094613	Jun Liu	Harvard University
0073601	Rong Chen	University of Illinois, Chicago
0073651	Xiaodong Wang	Texas A & M University