Strategies for grouping chemicals
The project aims to streamline and harmonise the implementation of chemical grouping to support human risk assessment of combined exposure to multiple chemicals. The listed estimated value is €400,000.
What the buyer needs
- The project aims to streamline and harmonise the implementation of chemical grouping to support human risk assessment of combined exposure to multiple chemicals.
- Its main tasks are to map EFSA’s current and future needs, identify relevant data types and sources (including traditional toxicological data and emerging technologies) as well as practices and approaches (such as…
- The expected outcome is a compendium of existing data types, sources and approaches, accompanied by recommendations for an operational strategy, ideally utilizing automated solutions to enable consistent and effective…
Procurement signals
- Procedure: EFSA/2026/OP/0004-PIN
- Procedure type: Source procedure code 47396222
- Contract type: Services contract (31095498)
- Submission method: Electronic submission
- Published: 19 Dec 2025
Procurement categories
CPV labels are not yet mapped locally, so the official category codes are shown as source-backed identifiers.
Programme and geography
Derived from official EU Funding & Tenders portal source fields. Use this as a shortlisting aid; the official tender record remains authoritative.
Source-backed details
Original identifiers and classification fields from the EU tender source.
- EFSA/2026/OP/0004-PIN
- ac16056a-298b-4157-a191-4df370b1f655-PIN
- Source procedure code 47396222
- Services contract (31095498)
- 47352394
- Europe/Rome
- 17 Jun 2026, 12:22 UTC
Full official description
The project aims to streamline and harmonise the implementation of chemical grouping to support human risk assessment of combined exposure to multiple chemicals. Its main tasks are to map EFSA’s current and future needs, identify relevant data types and sources (including traditional toxicological data and emerging technologies) as well as practices and approaches (such as AI-driven data extraction), and define key aspects for efficient data collection and appraisal. The expected outcome is a compendium of existing data types, sources and approaches, accompanied by recommendations for an operational strategy, ideally utilizing automated solutions to enable consistent and effective chemical grouping across EFSA’s domains.