Background:
SoCha is preparing a proposal in response to a solicitation released by the Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy (EERE) for a rigorous impact evaluation of its 2006‑2022 awards to small businesses and start‑ups. The study will employ Regression‑Discontinuity and Difference‑in‑Differences statistical models to estimate the effects of EERE grants on commercialization, follow‑on capital, patents, jobs, revenue, and the survival of firms post-grant award. Data sources will include DOE merit‑review files, USPTO PatentsView, Census LBD/LEHD micro‑data, PitchBook, PrivCo, and sector‑specific market‑intelligence feeds. Findings will inform future EERE funding strategy.
Period of Performance
Contingent on award, the base year of the consultancy will encompass 12 months, from approximately July 2025 – June 2026, for approximately 1,238 hours (~60 % FTE). The option period, if exercised by DOE, will encompass 6 months, from approximately July 2026 – December 2026, for approximately 413 hours (~40 % FTE).
Scope of Work
Working under the supervision of the Lead Evaluator, the Project Manager/Analyst (PM/A) will be responsible for executing the data acquisition, processing, and analysis plan developed by the Lead Evaluator and approved by DOE. The PM/A will own day‑to‑day technical execution—building analytic datasets, coding statistical models, and ensuring that deliverables meet DOE’s 90 % confidence / 10 % precision standard. The PM is classified as “essential personnel” on the contract and must be available during DOE business hours. The PM/A tracks the status of tasks on the project and meets weekly or more frequently on demand with the SoCha team and the client.
Project Phase and PM/A Duties
Start‑up (Months 1–2)
Data Integration (Months 1–6)
Analysis & Modeling (Months 4–10)
Reporting (Months 10–12)
Option Period (Months 13–18)
Qualifications and experience
SoCha is preparing a proposal in response to a solicitation released by the Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy (EERE) for a rigorous impact evaluation of its 2006‑2022 awards to small businesses and start‑ups. The study will employ Regression‑Discontinuity and Difference‑in‑Differences statistical models to estimate the effects of EERE grants on commercialization, follow‑on capital, patents, jobs, revenue, and the survival of firms post-grant award. Data sources will include DOE merit‑review files, USPTO PatentsView, Census LBD/LEHD micro‑data, PitchBook, PrivCo, and sector‑specific market‑intelligence feeds. Findings will inform future EERE funding strategy.