Presented by Radiation Risk: Facts and Fictions
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Tuesday, November 24, 2009 |
View the Webinar Recording |
With increased attention being focused on a variety of radiation issues, a plethora of regulatory and legal discussions and litigation has arisen surrounding uses and fears of ionizing radiation. Driving this increased scrutiny is a keen public interest in all radiation-related issues, including nuclear power as an alternative to global warming caused by fossil fuels, the cost of DOE nuclear waste cleanup, the rapidly increasing use of radiation in medical applications, or individual personal injury claims.
This public attention on radiation-related issues has focused on everything from the challenges associated with nuclear power generation to litigation of personal injury and environmental class action suits. Many of these legal actions are based not only on misunderstandings by the public, but also on scientific misrepresentation of actual health risks.
To address these issues and more, this webinar will:
Environmental and toxic tort attorneys, counsel for utilities and nuclear plant operators, medical device manufacturers, and others will benefit from the topics discussed and conclusions reached during this timely webinar.
Speakers:
David G. Hoel, Ph.D.
Principal Scientist, Center for Epidemiology, Biostatistics, and Computational Biology
Dr. Hoel has more than 40 years of experience in the fields of epidemiology, statistics, and risk analysis. He is especially active in the area of radiation risk assessment, and has expertise in asbestos and chemicals.
Elizabeth L. Anderson, Ph.D., FATS
Group Vice President, Health
Dr. Anderson specializes in risk assessment as a basis for addressing the complex problems related to public health and the environment for national and international companies and governments.
Suresh H. Moolgavkar, M.D., Ph.D.
Corporate Vice President and Director of the Center for Epidemiology, Biostatistics, and Computational Biology
Dr. Moolgavkar has more than 30 years of experience in the fields of epidemiology, biostatistics, and quantitative risk assessment and is internationally known for his work in developing mechanistically based dose-response models for carcinogenesis.