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Demonstration mode. Pragati Shakti does not hold office. Pages marked “simulated” show how the governing model would work; baselines with a cited source are published statistics; targets are proposals. Nothing here is a record of work delivered.
Pragati Shakti
English
অসমীয়াবাংলাबड़ोsoonडोगरीsoonEnglishગુજરાતીहिन्दीಕನ್ನಡکٲشُرsoonकोंकणीsoonमैथिलीsoonമലയാളംꯃꯤꯇꯩꯂꯣꯟsoonमराठीनेपालीଓଡ଼ିଆਪੰਜਾਬੀसंस्कृतम्soonᱥᱟᱱᱛᱟᱲᱤsoonسنڌيsoonதமிழ்తెలుగుاردو

Greyed languages are being translated; reviewers welcome.

Pragati Shakti Labs

The research and experimentation arm

Labs would exist so that policies can fail cheaply before expensive national implementation. Every project has a question, a method, a cost, an owner and a next gate. The portfolio below is a simulated first-year pipeline.

  1. IDEA
  2. RESEARCH
  3. MODEL
  4. PROTOTYPE
  5. PILOT
  6. MEASURE
  7. PEER REVIEW
  8. DECISION
Portfolio

Projects by pipeline stage

IDEA2
LAB-08
Procurement cycle-time analytics (aggregate)

Q: Can aggregate procurement cycle-time be published without operational exposure?

Method: Data-classification review with security counsel.

₹0.1 crLabs — Public Finance
Next gate: Research, Y1 (sample)
◌ Simulated
LAB-09
Teacher-coaching RCT design

Q: What is the causal effect of structured coaching on FLN outcomes?

Method: Pre-registered cluster RCT design.

₹0.2 crLabs — Education Measurement
Next gate: Research, Y1 (sample)
◌ Simulated
RESEARCH1
LAB-05
Satellite yield estimation accuracy

Q: How accurate is satellite yield estimation vs. crop-cutting experiments in Indian smallholdings?

Method: Literature review + retrospective comparison in 3 states.

₹0.5 crLabs — Agri Analytics
Next gate: Model, Y1 (sample)
◌ Simulated
MODEL1
LAB-04
Airshed source-apportionment model

Q: What share of urban PM2.5 originates outside city boundaries?

Method: Chemical transport model calibrated on CPCB monitors; sensitivity analysis published.

₹1.2 crLabs — Environmental Modelling
Next gate: Prototype, Y1 (sample)
◌ Simulated
PROTOTYPE1
LAB-06
'Tell us once' consent architecture

Q: Can data reuse across departments be made auditable and consent-bound without a central database?

Method: Working prototype with federated verification; external security review.

₹0.8 crLabs — Digital State
Next gate: Pilot, Y1 (sample)
◌ Simulated
PILOT1
LAB-03
FLN assessment instrument

Q: Does a 10-minute oral assessment reliably classify grade-level reading?

Method: Inter-rater reliability and test-retest across 200 districts.

₹2.4 crLabs — Education Measurement
Next gate: Measure, Y1 (sample)
◌ Simulated
MEASURE2
LAB-01
GIS travel-time baseline for emergency care

Q: What share of the population is within 30 minutes of emergency-capable care, by district?

Method: OpenStreetMap + facility registry + road-speed calibration; 500 ground-truth routes per state.

₹1.8 crLabs — Geospatial
Next gate: Peer review, Y1 (sample)
◌ Simulated
LAB-07
Compliance-cost measurement method for MSMEs

Q: What does regulatory compliance cost a small firm as a share of revenue?

Method: Time-and-cost diaries in 600 firms across 5 sectors.

₹0.7 crLabs — Economics
Next gate: Peer review, Y1 (sample)
◌ Simulated
PEER REVIEW1
LAB-02
Household health-expenditure survey instrument

Q: Can a shorter instrument reproduce NSS catastrophic-expenditure estimates?

Method: Split-sample validation against full NSS module in 4 districts.

₹0.9 crLabs — Survey Methods
Next gate: Decision, Y1 (sample)
◌ Simulated
DECISION0
Responsibilities

What Labs does

Policy researchModellingPrototypesSimulationsSmall-scale pilotsInternational comparisonsState-level comparisonsPolicy evaluationTechnology experimentationIndependent peer review
Pre-registration

Outcomes, analysis plans, kill and scale criteria are published before a pilot begins.

Peer review

External reviewers are named, disclose interests and their reports are published whole.

AI in Labs

AI assists with literature discovery, comparison, consultation analysis and anomaly detection. Every AI output preserves sources, assumptions and uncertainty and passes human review. AI is never the final policy authority and is never used for sensitive political profiling.