Single award · grant

Software Center for Predictive Theory and Modeling

Award ID: DESC0008637

A single federal award, with both ends of the trail linked.

$29.3M
Total award value

Award DESC0008637 is a grant from the Department of Energy to Regents of the University of Michigan, $29.3M obligated, FY2012 to FY2028, for Software Center for Predictive Theory and Modeling. The work is performed in Michigan. Source

Agency ›
Department of Energy
Source
awarded→$29.3M
Recipient ›
Regents of the University of Michigan
Source
performed in→
State ›
Michigan
Source

Award details

Award typeGrant
FAINDESC0008637
Action date2012
Period192 mo
Awarding agencyDepartment of Energy →
RecipientRegents of the University of Michigan →
Place of performanceMichigan →
Category—
Competed?Not recordedSource
Total (exact)$29,305,000

More awards to Regents of the University of Michigan

Health and Retirement Study
awarded 1998$463.4M
University of Michigan Comprehensive Cancer Center Support Grant
awarded 1997$130.5M
" Other Functions - Cyclone Global Navigation Satellite System (CYGNSS) Mission…
awarded 2012$116.1M
Drug Use and Lifestyles of American Youth
awarded 1975$102.4M
Institutional Portion of the Higher Education Emergency Relief Fund Formula…
awarded 2020$68.5M
All awards to this recipient →

More from Department of Energy

Contract DEAC0494AL85000
awarded 1993$48.1B
National Technology & Engineering Solutions of Sandia, LLC (Ntess) for the…
awarded 2017$43.5B
Management and Operation of the Oak Ridge National Laboratory
awarded 1999$43B
Management and Operation of the Lawrence Livermore National Laboratory (LLNL)
awarded 2007$42.2B
Competition for Management and Operation of Los Alamos National Laboratory
awarded 2018$36.3B
All awards from this agency →
Why the labels? The graph is only worth anything if the links are trusted. Facts taken straight from a federal filing are Source; figures we calculate are Computed; links we infer (corporate parents, districts, similar contractors, connections between records) are Inferred, worded carefully, never asserted as fact and never a claim that one thing caused another. Spot an error? Tell us.