Collaborate

Join us in advancing temporal validation research

We welcome replication, extension, and critique.

Open Invitation

The Temporal Validation Impact framework is an active research program. We seek collaboration with:

Research Opportunities

Prospective Prediction Study

The strongest test: rank novel entities by TVI today, measure persistence at 1, 5, and 10 year intervals. We propose a registered study tracking 100 entities across domains.

Observer Calibration Experiments

Test whether observers with different τ profiles make systematically different forecasts. Hypothesis: high-V observers outperform on long-horizon outcomes; low-V observers outperform on short-horizon outcomes.

Cross-Domain Expansion

Adapt TVI framework to additional domains: scientific papers, patents, policy frameworks, music, art, social movements.

Empirical Parameter Calibration

Improve Account Factor estimates through user surveys; validate Structural Resistance Coefficients through historical analysis.

Data & Code Access

Research Data

Upon request, we provide:

Calculator Access

The TVI Calculator is publicly available for academic use. Researchers receive:

Replication Package

Full replication package available for peer review and validation studies.

Publications & Citations

If you use the TVI framework in your research, please cite:

van der Linden, C. (2026). Temporal Validation Impact:
A Quantitative Framework for Measuring Cultural Persistence.
Working Paper v1.1. BoonMind Analytics.

Preprint available at: Full Paper

Who We're Looking For

Academic Researchers

Validate methodology, run replication studies, extend to new domains

Data Scientists

Apply TVI at scale, test predictions, improve parameter estimates

Universities

Incorporate TVI into courses, supervise thesis work, co-author papers

Investment Funds

Test ISPS in real portfolios, validate staying power predictions

Cultural Archives

Score historical collections, identify preservation priorities

AI Research Labs

Use TDIS for dataset selection, improve training data quality

Get in Touch

For research collaboration, data access, or replication support: