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Communication01:03

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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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Requirements for Transparency and Communicability of Regulatory Science.

A Alan Moghissi1,2, Richard A Calderone1, Camille Estupigan1

  • 1Georgetown School of Medicine, Washington, DC, USA.

Dose-Response : a Publication of International Hormesis Society
|December 15, 2018
PubMed
Summary

Regulatory science, including the linear nonthreshold (LNT) model and particulate matter (PM) exposure assessments, can be improved by distinguishing between reproducible science and policy decisions. Increased transparency in regulatory science benefits society.

Keywords:
Jeffersonian communication principlelinear nonthresholdparticulate matterregulatory science

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Area of Science:

  • Regulatory Science
  • Risk Assessment
  • Environmental Health

Background:

  • The Best Available Regulatory Science (BARS) principles and Metrics for Evaluation of Regulatory Science Claims (MERSC) provide a framework for evaluating regulatory science.
  • Current regulatory science often conflates scientific findings with policy decisions, leading to disagreements.

Purpose of the Study:

  • To provide examples implementing transparency and communicability using BARS and MERSC.
  • To evaluate the linear nonthreshold (LNT) process in cancer risk assessment and particulate matter (PM) exposure assessments using the BARS/MERSC system.

Main Methods:

  • Overview of regulatory science, BARS principles, and MERSC pillars.
  • Application of the BARS/MERSC system to evaluate LNT and PM exposure assessment processes.
  • Analysis of dose-response curves to identify distinct scientific and policy-driven components.

Main Results:

  • Dose-response curves comprise three parts: reproducible science, uncertain areas requiring precaution, and policy-driven protective measures.
  • Disagreements on LNT and PM assessments stem from not recognizing the policy-driven nature of the third part of dose-response curves.
  • Two PM epidemiological examples illustrate the distinction between science and policy in regulatory assessments.

Conclusions:

  • Regulatory science would improve by differentiating and excluding policy decisions from scientific evaluations.
  • Enhanced transparency and adherence to communication principles in the regulatory process would benefit society.