GPT version

Main Challenges in Open Science

Lack of centralized storage for grants and projects

Inefficient tagging system, making it difficult to find relevant projects

Limited opportunities for young scientists to connect with projects due to lack of established credentials

Dispersed storage locations for datasets and other open data

Inability for scientists to share specialized equipment due to lack of awareness of each other

Our Approach (Recommended Feature List)

A marketplace that consolidates:

Grants from major platforms

Projects and grants that can be directly live on our platform

Individuals with specialized skills and equipment

Natural language-based matching (based on project descriptions or search queries)

Streamlined onboarding for new scientists

Cross-platform scoring system

Cross-Platform Scoring for Easier Matching (Profile Mockup with Score and Supported Systems)

Our marketplace features a scoring system based on:

GitHub activity

Data linked to the ORCID system

This allows projects to set a minimum score requirement, thus minimizing spam applications.

Our Matching System (Diagram of Matching Process)

Text cleansing and key phrase extraction (prior to database storage)

Key-based data search + search by score

Text similarity matching (creation of TF-IDF vectors and calculation of cosine similarity)

Leveraging machine learning models for final matching and providing a human-readable summary for the match

Reducing Friction for New Scientists (Screen with Test Task and Diagram with Grant Sources)

We aggregate grants from the most popular sources for easy discovery, all in one place. While we don't aim to replace grant organizations, we serve as an additional platform to display their information.

We also embrace open-source culture by incorporating "first good issues" for projects. This allows scientists who may not have sufficient scores to become eligible for a project after resolving these "first good research" tasks that projects can set.

Future Improvements

Utilizing blockchain for an open social graph

Empowering the community to build better recommendation algorithms

Ensuring reputation transparency

Exploring the use of Zk-proofs for incorporating additional resources into scoring systems

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