Communication of EIA findings to policy and decision makers is difficult because they are often not technically trained. The task of communication is one of translation and interpretation from the language of the scientist into a clear and concise summary that matches the client's constraints and timetables. Another problem in using research results is the gap between the expectations of decision makers for certainty and the probabilistic realities of science. If a scientist reveals this uncertainty, the client may reject the findings as unhelpful, whereas disguising the uncertainty may cause the scientist to lose credibility when unpredictable results do occur.
Prediction should be straightforward, logical, and systematic regardless of the completeness or accuracy of the data available. All assumptions must be explicitly stated. The users of the assessment can follow the predictive method and, if they wish, substitute alternative assumptions where factual information is lacking.
A four-part format in reporting predictions is helpful in avoiding misunderstanding by the users about the uncertainty that inevitably accompanies EIA results.
First, the prediction should state what is known and with what confidence (a narrative statement of the statistical reliability). For example, 165
Questia, a part of Gale, Cengage Learning. www.questia.com
Publication information: Book title: Conducting Environmental Impact Assessment in Developing Countries. Contributors: Prasad Modak - Author, Asit K. Biswas - Author. Publisher: United Nations University Press. Place of publication: New York. Publication year: 1999. Page number: 165.
This material is protected by copyright and, with the exception of fair use, may not be further copied, distributed or transmitted in any form or by any means.