Workshop · Thursday, January 28, 2027 · Online
A live, hands-on session for health and life-science researchers. You leave with a cleaned, AI-screened set of papers on your own topic, and the skills to do it again.
Who it is for
Graduate students, researchers, librarians and research office staff in health and life sciences. Basic Python helps but is not required.
Format
Live online, 3 hours with a short break. Small group of 8 to 20 people. Google Colab notebooks, so there is nothing to install.
Language
English. A French session will follow if there is interest.
By the end
Not covered: full systematic review methods and patent analysis. These are part of an advanced session and of our services.
Agenda
| Time | Block | You make |
|---|---|---|
| 0:00 | Welcome: why map a field? Examples from tick and generative-AI research; what a map can and cannot show. |
Your topic as one clear question |
| 0:15 | Search OpenAlex Concepts, keywords, filters, and the API in Colab. |
A downloaded set of records |
| 0:45 | Clean the data Duplicates, missing abstracts and affiliations, known data limits. |
A clean table |
| 1:15 | Break | |
| 1:25 | AI screening Writing inclusion criteria, two models, a tie-break rule, cost and speed. |
A screened set with include and exclude labels |
| 2:05 | Check the AI Label 30 records by hand and compare, in simple terms. |
A short accuracy check |
| 2:30 | First results Output over time, by country, top sources. |
Two charts |
| 2:50 | Next steps and questions | Your own next steps |