The European Partnership for Alternative Approaches to Animal Testing (EPAA) is proud to announce its 2023 Refinement Prize. This prize of €6,000 will be granted to a laboratory technician, animal caretaker or technologist who has demonstrated outstanding achievements in new, novel approaches to advance the implementation and/or awareness raising of refinement of animal testing.
The purpose of this prize is to target those actually implementing alternative approaches to animal testing and/or raising awareness of their role, in particular for the day to day application and innovation of the refinement principles.
The EPAA partners will sponsor a €6,000 prize to be awarded in 2023. Applications can be submitted by an individual or on behalf of a team. The team must consist of at least one laboratory technician, technologist, or animal caretaker. The team can be supported by maximum one young scientist (master's student, PhD student or postdoc). The money awarded is a prize, not a grant. It therefore does not require any prior justification of how it will be used. Nevertheless, the EPAA recommends linking its use to (further) promotion of alternatives, e.g. for travel and accommodation fees for a conference, publication costs, etc. The winner (or the winning team) will be invited to the EPAA Annual Conference in November 2023 to receive the prize and briefly describe his/her/their contribution to the 3Rs.
Application Process
To apply, eligible candidates should send the following documents by email to grow-epaa(at)ec.europa.eu before 12:00 CET on Monday, 18 September 2023:
- a cover letter (max. 500 words) explaining why the evaluation committee should consider the applicant
- a brief CV, listing in particular relevant (refinement) work experience
- a case study (max. 5 pages) describing the Refinement approach developed/applied/promoted and describing how the application meets the above selection criteria. Include pictures, video or other evidence as appropriate.
For more information such as application and selection criteria see here.
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