UC Response to Publisher Letter Opposing Immediate Open Access to Federally Funded Research
Ivy Anderson and Jeff MacKie-Mason, who co-chair the team overseeing UC's publisher negotiations strategy, have provided the following response to a recent open letter in which a number of commercial and society journal publishers voiced their opposition to a policy, rumored to be under discussion by the U.S. Office of Science and Technology Policy, that would require federally funded research be made freely available to the public immediately upon publication, rather than within 12 months as current policy stipulates. The University of California believes the public should have access to publicly-funded research, freely and immediately upon publication. We are deeply …
EPA Science Advisers Slammed the Agency for Ignoring Science. Here is What They Said
In a stinging rebuke of the Trump administration’s handling of science, an Environmental Protection Agency (EPA) advisory panel has found major shortcomings in the agency’s pursuit of key regulatory rollbacks.
Coalition of 135+ Scientific Research and Publishing Organizations Sends Letter to Administration
MORE THAN 135 SCIENTIFIC RESEARCH AND PUBLISHING ORGANIZATIONS JOIN TOGETHER IN OPPOSITION TO PROPOSED ADMINISTRATION POLICY FORCING IMMEDIATE FREE DISTRIBUTION OF PEER-REVIEWED JOURNAL ARTICLES Proposed Policy Would Undermine American Science, Research, Intellectual Property, and Global Competitiveness.
It's a tale for all time. What might be the greatest scam in history or, at least, the one that threatens to take history down with it. Think of it as the climate-change scam that beat science, big time. Scientists have been seriously investigating the subject of human-made climate change since the late 1950s and political leaders have been discussing it for nearly as long. In 1961, Alvin Weinberg, the director of the Oak Ridge National Laboratory, called carbon dioxide one of the "big problems"
Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations
The U.S. health care system uses commercial algorithms to guide health decisions. Obermeyer et al. find evidence of racial bias in one widely used algorithm, such that Black patients assigned the same level of risk by the algorithm are sicker than White patients (see the Perspective by Benjamin). The authors estimated that this racial bias reduces the number of Black patients identified for extra care by more than half.