
Sign up to save your podcasts
Or


Inequitable wildfire smoke exposure in California
Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us.
In this episode, Joan Casey shows that some California communities are disproportionately exposed to wildfire air pollution.
In this episode, we cover: •[00:00] Introduction •[01:04] Joan Casey, an environmental epidemiologist at the University of Washington, describes recent decades of wildfire in California. •[01:34] Casey describes the environmental equity issues of fine particulate matter (PM2.5) air pollution. •[02:26] Casey describes why she chose to study the equity of wildfire smoke pollution exposure. •[03:01] She explains the results of the study, showing that by one definition of disadvantaged communities, smoke exposure appeared equitable. Another measure, including racial and ethnic identity data, showed inequitable exposure. •[05:26] Casey explores possible reasons for this inequitable exposure. •[06:21] The benefits of improved air monitoring among marginalized communities. •[07:34] Caveats and limitations of the study. •[08:35] Next steps in this line of research. •[09:27] Hopes for policy impacts. •[10:22] Conclusion.
About Our Guest:
Joan Casey Assistant Professor University of Washington School of Public Health
View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2306729121
Follow us on Spotify, Apple Podcasts, YouTube, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs!
Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast
Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter
By PNAS4.4
4242 ratings
Inequitable wildfire smoke exposure in California
Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us.
In this episode, Joan Casey shows that some California communities are disproportionately exposed to wildfire air pollution.
In this episode, we cover: •[00:00] Introduction •[01:04] Joan Casey, an environmental epidemiologist at the University of Washington, describes recent decades of wildfire in California. •[01:34] Casey describes the environmental equity issues of fine particulate matter (PM2.5) air pollution. •[02:26] Casey describes why she chose to study the equity of wildfire smoke pollution exposure. •[03:01] She explains the results of the study, showing that by one definition of disadvantaged communities, smoke exposure appeared equitable. Another measure, including racial and ethnic identity data, showed inequitable exposure. •[05:26] Casey explores possible reasons for this inequitable exposure. •[06:21] The benefits of improved air monitoring among marginalized communities. •[07:34] Caveats and limitations of the study. •[08:35] Next steps in this line of research. •[09:27] Hopes for policy impacts. •[10:22] Conclusion.
About Our Guest:
Joan Casey Assistant Professor University of Washington School of Public Health
View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2306729121
Follow us on Spotify, Apple Podcasts, YouTube, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs!
Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast
Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

43,837 Listeners

43,687 Listeners

1,381 Listeners

599 Listeners

756 Listeners

945 Listeners

544 Listeners

429 Listeners

818 Listeners

6,467 Listeners

331 Listeners

363 Listeners

923 Listeners

6,592 Listeners

2,303 Listeners