As a follow-up to the September Open Hour "Transparency in Environmental Policy and Science," we are having a small discussion on transparency in environmental policy and science and its surprising application in the Secret Science Reform Act of 2015 https://www.aaas.org/news/summary-secret-science-reform-act-2015

Daniel Sarewitz will be joining us, please read his piece in Nature as a preview: https://www.nature.com/news/reproducibility-will-not-cure-what-ails-science-1.18339

Philip Silva, Public Lab organizer, will also be joining us to bring his perspectives on science and politics.

OpenHour is an interactive seminar hosted by the Public Lab Community both online and in person. The topics of OpenHour vary from presentations on tools and methods, and discussions on environmental issues, to approaches to data-based advocacy. OpenHour is a great way to meet people in the Public Lab community. Bring your research, your ideas, and your questions; and join us for OpenHour on the first Monday of each month. Find topics and times at https://publiclab.org/openhour.

Ask questions, share your knowledge, and join the community at publiclab.org.

The Public Laboratory for Open Technology and Science (Public Lab) is a community, supported by a 501(c)3 non-profit, that develops and applies open-source tools to environmental exploration and investigation. By democratizing inexpensive and accessible do-it-yourself techniques, Public Lab creates a collaborative network of practitioners who actively re-imagine the human relationship with the environment.

The core Public Lab program is focused on community science, in which we research open-source hardware and software tools and methods to generate knowledge and share data about community environmental health. Our goal is to increase the ability of underserved communities to identify, redress, remediate, and create awareness and accountability around environmental concerns. Public Lab achieves this by providing online and offline training, education and support, and by focusing on locally-relevant outcomes that emphasize human capacity and understanding.