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Predictive Models in Ecotoxicology: Bridging the Gap Between Scientific Progress and Regulatory Applicability
Andreas Focks1, Francesca Grisoni2, Alpar Barsi3
1Wageningen University & Research, Wageningen, The Netherlands.
This special series explores predictive models in ecotoxicology, aiming to connect scientific advancements with regulatory use. The goal is to enhance environmental risk assessment through improved modeling applications.
Area of Science:
- Ecotoxicology
- Environmental Science
- Risk Assessment
Background:
- The session "Predictive models in ecotoxicology: Bridging the gap between scientific progress and regulatory applicability" was held at the 27th SETAC Europe annual meeting in Brussels, May 2017.
- This special series is a direct outcome of discussions and presentations from that session.
- There is a recognized need to better integrate scientific progress in predictive ecotoxicology with practical regulatory requirements.
Purpose of the Study:
- To outline the rationale and objectives for the special series on predictive ecotoxicology models.
- To highlight the importance of bridging the gap between scientific advancements and regulatory applicability in the field.
- To foster a dialogue on how predictive models can be effectively utilized in environmental risk assessment and management.
Main Methods:
- The content is derived from a dedicated session at a major scientific conference (SETAC Europe).
- This foreword briefly describes the foundational reasons and aims for creating the special series.
- Focus is on conceptual framework and objectives rather than empirical data collection.
Main Results:
- The series aims to address the challenges and opportunities in applying predictive ecotoxicology models.
- It seeks to facilitate the translation of scientific knowledge into actionable regulatory tools.
- The initiative underscores the collaborative effort between scientists and regulators.
Conclusions:
- The special series is proposed to advance the use of predictive models in ecotoxicology.
- It emphasizes the need for models that are both scientifically robust and regulatorily relevant.
- This work contributes to improving environmental safety assessments through enhanced modeling.
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