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Late lessons from early warnings II - Full report

File Published 23 Jan 2013
Downloading: PDF document icon Late lessons from early warnings II - Full report (05-2013).pdf — PDF document, 6.86 MB (7193873 bytes)

PDF document icon Late lessons from early warnings II - Full report (05-2013).pdf — PDF document, 6.86 MB (7193873 bytes)

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Page Part A - Lessons from health hazards Part A commences with an analysis of 'false positives' showing that these are few and far between as compared to false negatives and that carefully designed precautionary actions can stimulate innovation, even if the risk turns out not to be real or as serious as initially feared.
Page Part E - Implications for science and governance Part E considers the governance implications for science, public policy and public engagement, and how current practices could be improved to enable society to maximise the benefits of innovations while minimising harms on the basis of the cases in Parts A-D.
Page Part D - Costs, justice and innovation The chapters in part D analyse the reasons behind prevailing practice and then go on to offer insights, for example, on how cost calculation methods can be improved; on how insurance schemes could be used to compensate future victims of harm; and on the reasons why businesses frequently ignore early warnings.
Page Part C - Emerging issues Part C analyses some newly emerging and large‑scale products, technologies and trends, which potentially offer many benefits but also potentially much harm to people and ecosystems and thereby ultimately economic development.
Page Part B - Emerging lessons from ecosystems Part B focuses on emerging lessons from the degradation of natural systems and their wider implications for society - booster biocides, the pill and the feminisation of fish, climate change, floods, insecticides and honeybees as well as ecosystem resilience more broadly.

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For references, please go to https://eea.europa.eu./publications/late-lessons-2/late-lessons-2-full-report/late-lessons-from-early-warnings or scan the QR code.

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