Describe the research you need in plain language. SciMatch finds relevant researcher profiles and the publications behind them, so you can investigate potential collaborators—even when you do not know their names.
A directory can find a name you already know. SciMatch helps when you know the question instead: search by meaning or precise terms, inspect the publications behind a result, and follow the evidence into a wider research community.
Follow the people, decisions and records
from the first input to a useful result.
You need a composite that can be recycled, but do not know which researchers use the same terminology. Start with the problem and investigate the evidence.
Researcher · partnership coordinatorA natural-language research question and any institutional constraints
Describe the research challenge. Use semantic search for meaning, keyword search for exact terms, or automatic mode. Narrow the institutional scope when the project calls for it.
Researcher results to examine against the actual question.
Relevance is a reason to investigate. It does not establish availability, interest, access to equipment or consent to join a project.
Keep potential partners with an applicationThe website, data, and research processes are scoped together during implementation. These are the concrete pieces behind this part of the platform.
See the complete university offerDescribe the research you need in natural language, or search with precise names and technical terms. Automatic mode selects a search approach; semantic and keyword modes give you explicit control.
Look beyond a biography. Review relevant papers alongside search results, then explore a researcher’s publications, abstracts, authorship, and available source links. Publication-search infrastructure also supports title and description queries.
Ask a research question, then refine it with a follow-up. The discovery assistant brings retrieved research context into its response and exposes source references you can inspect.
Explore researchers on an interactive topic-similarity map. Look at clusters, filter the view, inspect a point, and follow nearby expertise across institutional boundaries.
Connect a result to its research interests, affiliations, publication record, and available identifiers. Match explanations show the evidence available behind a result instead of asking you to trust a score alone.
Use a research proposal, grant application, or reference document as the starting point for discovery. Document analysis extracts topics, builds research queries, and brings matching researchers back for review.
Proposed additions to the roadmap.
These are planned, rather than current features.
Keep a team’s searches, annotated researcher shortlists, and publication evidence together, with permissions and a clear handoff into a grant application.
Follow a research question and review new publications, emerging expertise, or relevant institutional updates as the evidence changes.
Bring the existing publication-search infrastructure into a dedicated browsing experience that connects papers, research questions, authors, and project opportunities.
Software and implementation are free for universities. We agree the rollout, institutional responsibilities, and research-data scope before onboarding.
Review your current content, people, processes, and institutional structure.
Configure the identity, records, access, and workflows agreed for your unit.
Introduce the next processes and units once the initial scope is working.