Search by research topic, theme, or a researcher's name. The tool uses AI to find the most relevant THUAS publications and the people behind them, and it tolerates small typos in names.
Ask a research question in your own words. The assistant calls the matchmaker for you and answers with researchers and publications cited from the THUAS index.
Interactive research landscape — Domain → Field → Subfield → Topic → Publication → Researcher
Browse the CERIF research database — publications, researchers, topics, organisations & SQL
| Title | Year | Type | Language |
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| Name | Publications |
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| Keyword | Publications |
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| Name | Type | Researchers |
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Why we built it, what it does today, and where it is going
The Hague University of Applied Sciences (THUAS) conducts a wide range of research across many faculties and research groups. Finding out who is working on what, and discovering potential collaborators inside the university, is harder than it should be. Publications are spread across repositories, researcher profiles are incomplete, and there is no single place to explore what the university is producing.
This pilot investigates whether a matchmaking tool can help. By combining open publication data, AI-based topic classification, and semantic search, the tool aims to make THUAS research easier to find, easier to connect, and easier to build upon, for staff, students, and external partners.
The project is commissioned by the AI Hub and developed by the AI & Data Science Expert Team at THUAS.
The national Dutch research repository. All THUAS publications registered in SURF Sharekit are harvested as the starting dataset (~4,400 records).
An open catalogue of scholarly works that provides a standardised topic taxonomy used worldwide. Each publication is linked to topics from this taxonomy.
A language model assists in reviewing each publication and assigning relevant topics and keywords, helping to enrich records that have limited metadata.
Queries and topics are encoded as vectors so the tool can match meaning rather than exact words. For example, “ageing population” finds work on “elderly care”.
A structured database of publications, researchers, research groups and faculties, following the European CERIF standard for research information.
An interactive map showing how research domains, topics, publications and researchers are connected across the university.
Person search and the conversational Ask tab are now live. The next big steps are education-data integration, adding missind research data, dedicated profile pages for each person, and a formal evaluation of how well the matchmaker surfaces the right results. Note that these are not in any order of priority.
Click a researcher to see a dedicated page with their full publication list, topics they work on, collaborators, and faculty/research-group affiliations and education data.
Connect research output to teaching so you can see which courses or curricula relate to a given research area and more.
Publish an OpenAPI spec so anyone can plug the matchmaker into ChatGPT Custom GPTs, NebulaONE agents, Claude, or other AI clients without using our chat tab.
Formal evaluation of how well the matchmaker surfaces the right results, with input from researchers across the university.
Because this is a pilot, your feedback is very valuable. If a search returns unexpected results, if your own publications appear incorrectly classified, or if someone you would expect to find is missing, please email, Amey Vasulkar at anvasulkar@hhs.nl or get in touch with the any AI Expert Team member at THUAS. Each piece of feedback helps us improve the data, the matching, and the tool itself.