Explain the need.
Describe the problem, its beneficiaries, the evidence available, and what a useful outcome would look like.
01 / Impact through open collaboration
Real problems.
Shared expertise.
SciStitch is developing institution-guided open challenges around scientific questions and real-world needs. Research, statistical reasoning, and software are tools for making a difference—not ends in themselves.
02 / Affiliated institutions
Bring a problem
that matters.
Research groups, universities, nonprofits, public-interest organizations, and mission-aligned teams can propose challenges grounded in genuine needs.
Stay involved.
Assign a domain contact, answer questions, provide permitted data or research materials, and guide the team at agreed checkpoints.
Review the result.
Help assess relevance and practical usefulness, approve any public release, and identify realistic next steps.
Institutional proposals
A named institutional contact and commitment to guide and validate the work are required before a challenge opens.
03 / Professional collaborators
Two ways to
bring your expertise.
We look for relevant expertise, scientific rigor, responsibility, and shared values—not a generic coding assignment.
Demonstrate meaningful contributions.
Show research, open-source, or social-impact work you maintain or have contributed to substantially. We look at its purpose, quality, your contribution, and how you collaborate.
Your existing project remains independent. Joining our professional network does not affiliate that project with SciStitch or add it to our portfolio.
Work on a real problem.
Contribute meaningfully to a SciStitch-coordinated challenge through research, statistical analysis, development, review, or domain expertise.
A reviewed contribution can support your application and, when approved for release, appear in the challenge portfolio with proper credit. It is not automatic admission to the network.
Participation, not just a label
Active Members & Professional Network
Active Members are currently contributing to SciStitch initiatives or coordination. As the program develops, the goal is for active members to make at least one substantive open-challenge contribution each year, when suitable challenges are available.
The wider Professional Network stays connected without a standing activity commitment. Contributions can include scientific validation, research, software, mentoring, or coordination; no one needs to solve a challenge alone. Expectations are agreed individually and consider availability.
04 / Challenge process
From a question
to an outcome.
An illustrative twelve-week cycle. Each actual timeline depends on the complexity, the institution's capacity, data readiness, and any research or ethics approvals.
- Weeks 1–2
Scope together
Institution and SciStitch agree on the problem, stakeholders, evidence, open licensing, data permissions, evaluation criteria, and a named validation contact.
- Weeks 3–4
Form the team
Invite relevant collaborators, define contributions, discuss research methods, and confirm review milestones and responsibilities.
- Weeks 5–8
Research and develop
Investigate, analyze, and build with regular institutional feedback; document assumptions and limitations.
- Weeks 9–10
Validate and review
Review scientific and technical quality, reproducibility, and usefulness together with the institution.
- Weeks 11–12
Release or document
Share the approved, openly licensed outcomes with clear contributor credit; agree on handover or separately funded follow-up.
05 / Open outcomes, shared credit
Open by design.
Credited with care.
Open licenses from the outset.
Institutions and contributors must agree before a challenge begins that all publishable challenge outputs—code, analyses and notebooks, shareable datasets, model artifacts, documentation, and reports—will be released under appropriate open licenses. Use established open-source licenses for code, openly reusable licenses for data and documentation, and explicitly reusable licenses for models and weights.
Privacy, research ethics, consent, and third-party rights still apply. Restricted or identifying source data must not be published; challenges should use lawfully shareable derivatives, aggregated data, or synthetic examples where feasible. If these conditions cannot be met, we would rescope or decline the open challenge.
Scientific publications belong in the open.
If a challenge produces an article, it should be published open access or accompanied by a legally shareable open-access preprint, respecting the venue's policies and required approvals.
All contributors should be properly credited. Everyone whose scholarly contribution meets recognized authorship criteria should be invited to be a coauthor and participate in manuscript approval; other contributions should be clearly acknowledged. Authorship and contribution roles are discussed early and reviewed fairly—not used as a participation reward.
Agreements before participation.
Before each challenge starts, SciStitch and the institution agree to a written Challenge Charter covering the problem, the institutional contact, guidance and validation milestones, permitted data use, licensing, publication plans, ethics requirements, and responsibilities after completion.
Contributors joining an organized challenge may need to accept a short Contributor Participation Agreement covering the scope of their contribution, open licensing, fair credit, publication and authorship processes, conduct, withdrawal, and whether the work is voluntary or paid. Access to restricted data or confidential research may require additional signed data-access, confidentiality, or institutional approvals before access is granted. Ordinary public project contributions need not require a separate signed contract where an open-source contribution policy suffices.
Open outcomes are the default. Any confidentiality obligations or permitted publication delays must be agreed beforehand, limited to what is necessary, and compatible with an eventual openly licensed release. Challenges unable to meet the open requirements should be redesigned or handled outside the Open Challenges program.
Results that can be evaluated.
A useful outcome could be a reproducible study, a validated analysis, an open scientific tool, a data product, or a well-documented negative result. The final record should identify limitations, relevant evidence, contributors, and whether any real-world adoption has actually been demonstrated.
Developing the first challenges
There are no public challenge calls listed yet. We will announce a challenge only after institutional guidance, scope, open licensing, and validation are agreed.
Have a problem worth solving?
Bring the question.
Let's collaborate.
Tell us about your institution, a real challenge, or the scientific expertise you could contribute.
Start a conversation What to include in your inquiry connect@scistitch.com