To better understand what might drive the way we live, learn, and work in 2050, we’re asking the community to share their expertise and thoughts about how key factors like research and development infrastructure and automation will shape the trajectory of the ecosystem.
Recognizing the power of the national transportation infrastructure expert community and its distributed expertise, ARPA-I took a different route that would instead bring the full collective brainpower to bear around appropriately ambitious ideas.
NIH needs to seriously invest in both the infrastructure and funding to undertake rigorous nutrition clinical trials, so that we can rapidly improve food and make progress on obesity.
Modernizing ClinicalTrials.gov will empower patients, oncologists, and others to better understand what trials are available, where they are available, and their up-to-date eligibility criteria, using standardized search categories to make them more easily discoverable.
The current lack of public trust in AI risks inhibiting innovation and adoption of AI systems, meaning new methods will not be discovered and new benefits won’t be felt. A failure to uphold high standards in the technology we deploy will also place our nation at a strategic disadvantage compared to our competitors.
We need a new agency that specializes in uncovering funding opportunities that were overlooked elsewhere. Judging from the history of scientific breakthroughs, the benefits could be quite substantial.
A shift toward more circular, transparent systems would not only reduce waste and increase efficiency, but also unlock new business models, strengthen supply chain resilience, and give consumers better, more reliable information about the products they choose.
By better harnessing the power of data, we can build a learning healthcare system where outcomes drive continuous improvement and where healthcare value leads the way.
In this unprecedented inflection point (and time of difficult disruption) for higher education, science funding, and agency structure, we have an opportunity to move beyond incremental changes and advocate for bold, new ideas that envision a future of the scientific research enterprise that looks very different from the current system.
Assigning persistent digital identifiers (Digital Object Identifiers, or DOIs) and using ORCIDs (Open Researcher and Contributor IDs) for key personnel to track outputs for research grants will improve the accountability and transparency of federal investments in research and reduce reporting burden.
Research funding agencies should apply the content of grant applications to AI tools to predict the future of scientific and technological breakthroughs, enhance peer review, and encourage better research investment decisions by both the public and the private sector.
Rebuilding such labs in a 21st century “Bell Labs X” form would restore a powerful and uniquely American approach to technoscientific discovery—harnessing the private sector to discover and invent in ways that fundamentally improve U.S. national and economic competitiveness.