At ExposureScience.Org, we host research projects in the field of exposure science, providing a forum for scientists and researchers to collaborate and exchange ideas. We also provide public access to a variety of scholarly materials and information resources that are related to the different projects that we host. Visitors to the site can download published articles, reports, software, and data related to a given set of research work.

To request an account please fill out the registration form. To request contributor privileges, to start a new group, or to volunteer to manage a group, please send an email to Dr. Klepeis using the email contact form.

In celebration of its 20th anniversary, the International Society of Exposure Science has been including Exposure Science Digests - brief articles that "showcase successes" in the field. The July/August 2010 edition includes digests on:

'Ensuring the safety of chemicals'
http://www.nature.com/jes/journal/v20/n5/full/jes201028a.html

and 'The smoking gun: working to eliminate tobacco smoke exposure'.
http://www.nature.com/jes/journal/v20/n5/full/jes201034a.html

Rice, Hammitt, and Evans publish results from a probabilistic model describing the possible monetary benefits of reducing methyl mercury. The article, published in Environmental Science & Technology (volume 44, issue 13) estimates an additional $860 million with a 10% reduction in exposure to the US population.

http://pubs.acs.org/doi/abs/10.1021/es903359u

This section is an extension and complement to exposurescience.org and is meant as a space for researchers developing, using, and generally interested in simulations applied to environmental health and exposure science. Theoretical concepts in statistics, stochastic processes, computational methods, and modeling frameworks are all topics of interest, as are applications of simulations in environmental health, human exposure assessment and analysis, pharmacokinetics, health risk, and environmental science.

Kai-Chung gave a presentation on his recent work regarding the reconstruction of true CO levels from readings of a diffusion CO sampler with a slow response time. A report on this work is also forthcoming. The powerpoint presentation is attached.