Federal grantmakers should establish a default expectation that hardware developed as part of federally supported research be released as open hardware.
To build on existing federal efforts supporting scientific rigor and integrity, funding agencies should study and pilot new programs to incentivize researchers’ engagement in credibility-enhancing practices that are presently undervalued in the scientific enterprise.
Russia is in the midst of a decades-long nuclear force modernization program intended to replace Soviet-era missiles, aircraft, and submarines with new systems.
In scientific work in the service of agency missions, the federal government should use and contribute to open source hardware.
To enhance transparency, encourage collaboration, and optimize public-good impacts, funding agencies should allow researchers to make grant proposals publicly available.
Federal agencies should form Data Collaboratives in which staff and members of the public engage in mutual learning about available datasets and their affordances for clarifying policy problems.
The federal government should take action to support preprinting, preprint review, and “no-pay” publishing models in order to make scholarly publishing of federal outputs more rapid, rigorous, and cost-efficient.
To support these teams and allow for timely resolution to security problems, science funders should offer security-focused grant supplements to funded OSI projects.
The EPA should better integrate community data into environmental research and governance by building internal capacity for recognizing and applying such data, facilitating connections between data communities, and addressing misalignments with data standards.
The Sentinel program has been plagued with cost increases, flawed assumptions, and misleading arguments from the beginning; this most recent overrun demands hawk-eyed scrutiny of the program’s next steps.
Public trust is the key to unlocking the full potential of the bioeconomy. Without it, the U.S. may fall short of long-term economic goals and biotech leadership.
Despite significant advances in scientific tools and methods, the traditional, labor-intensive model of scientific research in materials discovery has seen little innovation.