Tera Formation: Opening the Formation of Science

Open science has transformed how we share finished research. It has opened papers, data, software, methods, and discussion to people who might once have been excluded by geography, money, or institutional affiliation.

But all of those systems begin after a research team already exists.

What remains surprisingly closed is the formation of the research itself.

A little over a decade ago, while watching a David Attenborough documentary about Dragon’s Breath Cave in Namibia, I had a thought: I knew how I would map it.

I had a background in hydrographic science, recent scientific-diving experience, and prior experience using terrestrial laser scanning. The technical concept was straightforward. Laser scan the dry cave, use sonar below the waterline, tie both surveys to a common datum, and create a three-dimensional model of the entire chamber as if the water were not there.

The science was not the obstacle. Finding the people was.

I began working on a National Geographic grant application, but their guidance reasonably favored project leaders with strong connections to the local context. I did not want to assemble an American expedition and use a Namibian scientist as a name on an application. I wanted to find the smartest geologists and cave researchers already working in Namibia, understand their plans and questions, and determine whether my hydrographic experience could contribute to work they already considered important. Perhaps a professor had a graduate student looking for a project. Perhaps a local team had access and expertise I did not. I talked to a geologist, my department chair, and anyone else I thought might know someone.

I could not find the right connections.

The cave was eventually mapped years later using an approach very similar to the one I had imagined, and I am genuinely glad the work was done. But the experience exposed a gap that still exists. A promising project can remain trapped on one person’s computer, not because the idea is weak, but because that person does not know who they do not know.

I am in the same position today with a much smaller project. I have written a proposal for a double-blind study combining anthropology, statistics, psychology, and the study of paranormal belief. The methodology is largely developed, the required budget is under $5,000, and the project could produce both an academic paper and a proof of concept for a television series.

The proposal even contains a section listing the required research-team roles. What I do not know is who should be reading it.

This is the missing piece I believe TeraOpenScience could offer: Tera Formation, an AI-assisted, project-centered matching system that helps ideas find the people and resources they require before they are ready for funding, data collection, or publication.

The upload would not simply be a personal profile saying, “Here is who I am.” It would describe what the completed project requires: skills, person-hours, equipment, languages, geography, permits, age restrictions, institutional support, local relationships, and other constraints. It would not dictate exactly how the work must be staffed. One person might fill several functions. A graduate student might provide both field assistance and data analysis. A small project might need no additional expert at all, only another body capable of carrying equipment.

AI could read that specification and identify possible matches among researchers, students, laboratories, mentors, equipment owners, local organizations, and funding opportunities. One person may have $1,000. Another may have one useful instrument. A third may have the local access or language ability the project needs. None could complete the work alone, but together they might have a viable study.

The first stage could be blind. Potential collaborators would initially see the project requirements and anonymous descriptions of relevant capabilities, not famous names, institutional brands, publication counts, or academic rank. Identities and credentials could be revealed after both sides express interest. Experience would still matter, especially when a project needs an established principal investigator or manager. It simply would not decide which ideas receive the first conversation.

Hollywood tends to cast people who have already been cast. Academia often works the same way. Researchers collaborate with people they already know, established investigators attract more collaborators, and students are directed toward advisers inside familiar networks. There are understandable reasons for this. Trust and experience matter. But the result is a feedback loop in which opportunities continue rolling toward people who already have opportunities.

Online matching has allowed millions of people to meet partners whose paths would never otherwise have crossed. Why has academia not applied the same basic logic to research?

Tera Formation could also match students with futures. An undergraduate could enter a narrow combination of interests and discover graduate advisers working on those questions. A master’s student could identify the handful of Ph.D. programs in the world that truly fit. A professor with data but no student could find someone seeking exactly that thesis. These are not fundamentally different problems. They are all categories of compatibility.

This matters even more as research crosses disciplinary boundaries. Archaeologists now work with computer scientists to read carbonized scrolls. Art historians use hyperspectral imaging. Oceanographers work with archaeologists. The people most valuable to a project may be almost impossible to locate through conventional titles.

Nobody would think to search for me specifically. My experience spans mathematics, hydrography, meteorology, oceanography, archaeology, statistics, scientific diving, education, and project design. That combination does not fit neatly into a search box. An interdisciplinary person may be invisible until a project’s requirements reveal that the odd combination is exactly what it needs.

Jacks and Jills of all trades are not necessarily masters of none. They may be the people capable of seeing and connecting the pieces specialists rarely have reason to place together.

Open science has focused on opening access to the products of science. Tera Formation would extend that principle to the process by which science becomes possible.

We need a renaissance in how we find Renaissance men and women.

We need a polymorphic system to find polymaths.