Blog & Case Studies

Insights from government agencies and research institutions using iS&T Dashboard

Case Study
How NSF Uses AI-Driven Surveys for R&D Investment Decisions
Learn how the National Science Foundation leverages iS&T Dashboard to collect and analyze research priorities from institutions across the country.
NSFR&DPolicy
December 5, 2024
8 min read
Article
Predictive Analytics for Science Policy: A Government Perspective
Discover how predictive modeling helps government agencies forecast research trends and allocate funding more effectively.
AnalyticsForecastingPolicy
December 1, 2024
10 min read
Case Study
Case Study: DOE's Success with Cohort Analysis for Energy Research
The Department of Energy achieved a 40% improvement in research alignment by using cohort analysis to understand institutional priorities.
DOEEnergyAnalysis
November 28, 2024
7 min read
Article
Building Trust in Government Technology: Security Best Practices
Explore the security measures and compliance standards that make iS&T Dashboard trusted by government agencies.
SecurityComplianceTrust
November 24, 2024
6 min read
Case Study
NIST Improves Standards Development with Real-Time Feedback Surveys
See how NIST streamlined their standards development process by collecting real-time feedback from industry stakeholders.
NISTStandardsFeedback
November 20, 2024
9 min read
Article
The Future of Evidence-Based Policy Making
Explore emerging trends in how governments use data and AI to make more informed policy decisions.
PolicyAIFuture
November 15, 2024
12 min read

Featured Case Study

40%

Improvement in Research Alignment

How DOE Transformed Their Research Priority Assessment

The Department of Energy needed a better way to understand research priorities across their network of national laboratories and university partners. By implementing iS&T Dashboard's cohort analysis features, they were able to:

  • ✓Collect feedback from 500+ research institutions in real-time
  • ✓Identify research priorities by institution type and geography
  • ✓Allocate $2.5B in research funding more effectively
  • ✓Reduce decision-making time from 6 months to 6 weeks

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