Collaborate with Us!
At Paranormal & UFO Research Center RGV, in partnership with Paranormal 3:33, we believe that advancing the study of unexplained phenomena requires interdisciplinary collaboration. Our mission is to move beyond speculation and apply rigorous, testable methods—and we cannot do it alone.
We are actively seeking collaborators across several domains. Whether you are a data scientist, developer, marketer, or simply an enthusiast with technical skills, there is a place for you in our research initiative.
🔬 Data Engineering (priority area)
Our most pressing need is in data engineering, where we require contributors to:
Clean and standardize large datasets (handling NULL values, inconsistencies, and duplicates).
Harmonize categorical fields (e.g., classifications, conditions, geographic names).
Perform geocoding QA to ensure spatial accuracy.
Build pipelines that can merge external datasets (weather, terrain, demographics, astronomical conditions).
Support reproducibility with clear documentation and version control.
Your work will be central to creating a robust foundation for all further analysis.
📊 Data Science & Modeling
Develop spatio-temporal models to identify clustering patterns.
Apply causal inference techniques to control for confounding variables.
Quantify uncertainty and produce interpretable outputs.
🌐 Software & Web Development
Help us build APIs and microservices for accessing cleaned data.
Contribute to visualization platforms, making dashboards interactive and scalable.
Enhance user experience with clear filtering and comparative views.
🎨 Design & Visualization
Improve the usability and clarity of visual dashboards.
Create storytelling visualizations that bridge scientific rigor and public accessibility.
Experiment with geospatial heatmaps, interactive narratives, and anomaly highlighting.
📢 Marketing & Outreach
Assist in science communication: making our findings accessible without losing rigor.
Expand our reach through social media, podcasts, and live events.
Build engagement strategies to grow a global research community.
📑 Field & Methodology
Help draft guidelines for standardized future reporting of sightings.
Design protocols to reduce bias and improve comparability across cases.
Bridge field data collection with digital reporting systems.
Why Collaborate?
Shared credit: All accepted contributions will be acknowledged.
Open science commitment: Methods, code, and data will be documented and shared where possible.
Interdisciplinary network: Work alongside enthusiasts and professionals from diverse fields.
📧 Contact us at: info@paranormalrgv.com
Together, we can move the study of the unexplained from anecdote to analysis.