Monitor workforce change
Track hiring, separations, occupations, grades, agencies, regions, and workforce composition over time.
Integrated Network Solutions in Government Hiring Trends connects personnel, occupations, job postings, geography, institutions, and external labor-market data.
INSIGHT+ transforms fragmented federal workforce data into a documented, extensible infrastructure for research, teaching, and evidence-based workforce strategy.
The project integrates federal personnel and hiring data with occupational classifications, labor-market measures, geographic context, and institutional attributes. Researchers can examine patterns across agencies, occupations, places, time, and career stages rather than relying on isolated snapshots.
The interactive dashboard remains on the legacy domain while its GSU deployment is completed.
The infrastructure supports descriptive dashboards, causal research, cross-sector matching, forecasting, and tailored analytical access for different kinds of users.
Track hiring, separations, occupations, grades, agencies, regions, and workforce composition over time.
Study shutdowns, remote-work policy, reorganization, political change, and other interventions across agencies.
Match federal data to private labor markets, wages, occupations, geography, ideology, and institutional structure.
Connect occupational specifications to emerging AI capabilities and future workforce-development scenarios.
Translate analysis into data stories, briefings, workforce diagnostics, and decision-relevant visualizations.
Provide a live environment for data engineering, computational social science, public management, and policy research.
INSIGHT+ is more than a dashboard. Its value lies in the documented pipeline that converts multiple administrative sources into linked, research-ready data.
Ingest personnel, hiring, occupational, geographic, and external labor-market sources.
Clean, standardize, deduplicate, classify, and harmonize records across time and systems.
Connect agencies, occupations, locations, job text, institutional measures, and outcomes.
Serve dashboards, APIs, research extracts, data stories, and teaching applications.
Each project uses a shared data foundation while adding topic-specific measures, theory, and design.
Linked recruitment and personnel data measure applications, selections, voluntary exits, and involuntary separations across exposed and unexposed agencies.
Read about the researchJob-posting text, location, occupation, and applicant outcomes show how remote eligibility changes recruitment reach and behavior.
Explore remote-work researchOccupational knowledge is paired with a structured inventory of AI capabilities for scenario-based workforce analysis.
View the CAS frameworkFederal and private postings can be matched to estimate wage–amenity tradeoffs and changes after a visible shock to job stability.
See the research portfolioThe public dashboard and documented extracts serve different needs. Contact CLEAR for research collaboration, training, or practitioner-facing analysis.