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Make your opinion count for safer chemicals management in Europe

Landscape and readiness of computational New Approach Methods based on ML and AI approaches for chemicals’ Next Generation Risk Assessment

The European Partnership for the Assessment of Risks from Chemicals (PARC, www.eu_parc.eu, co-funded by Horizon Europe), a joint effort of 30 countries and 3 European agencies (EEA, ECHA, EFSA), is conducting a survey on landscape and readiness of computational NAMs based on ML and AI approaches for NGRA of chemicals. PARC´s objective is to inform policy making in Europe and at a national level with sound scientific results on exposure to chemical pollutants and possible effects on health and the environment.

This survey examines whether and how ML and AI based QSAR models, and their predictions are suitable for regulatory applications, what are their main sources, and barriers to successful implementation.

The survey is targeted to in silico experts, model developers, risk assessors, risk managers, etc. being employed in government or regulatory agencies, academia, industry, consulting, NGO, etc. The survey is coordinated by the University of Tartu (UT) in cooperation with Istituto superiore di sanita (ISS), Institut national de l’environnement et des risques (INERIS), University of Basel (UNIBAS), Istituto di ricerche farmacologiche Mario Negri (IRMN), Swedish Chemicals Agency (KEMI).

This survey gathers your personal experience and opinion and invites you to answer this questionnaire (20 core questions and 5 general background questions). Please note that at the end of some questions, there is an open comment box where you can provide your opinion in free text (this is optional). The survey will take you approximately 20 minutes to complete.

This study was approved by the Research Ethics Committee of University of Tartu (Proposal 384/T-2).

This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.

Data handling:

  • The information collected will be anonymous and will be treated as confidential.
  • The anonymous data will be stored locally, in electronic repositories at the French Agency for Food, Environmental and Occupational Health & Safety (ANSES, PARC coordinator) and at the EU Directorate General European Health and Digital Executive Agency (HaDEA).
  • No personal information is collected that would allow for the identification of individuals (e.g., names, e-mail addresses, IP addresses).
  • The statistical evaluations will not allow inferences about individual persons and the data collected will only be used for scientific and non-commercial research and teaching purposes.
 
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