RESEARCH AGENDA
A proposed agenda in artificial intelligence, computational foundations, and science for public benefit. These directions describe intent; they are not claims of completed work.
PROPOSED DIRECTIONS / SUBJECT TO RESEARCH REVIEW
01 / PROPOSED DIRECTION
How can intelligent systems become more useful, understandable, and responsibly evaluated?
A direction for exploring learning architectures, intelligent systems, and evaluation methods. Specific questions, contributors, and methods need scientific review before a programme is announced.
Explore collaboration
02 / PROPOSED DIRECTION
Which algorithms and computational structures could enable the next generation of technology?
A direction for foundational inquiry in algorithms, scalable computation, and systems. A project should define the precise technical question and publish its assumptions and limitations.
Explore collaboration
03 / PROPOSED DIRECTION
How can research knowledge become accessible and relevant to societal needs?
A direction for connecting open scientific collaboration with useful tools and public-interest questions. Intended benefit must remain distinct from measured impact.
Explore collaborationRESEARCH APPROACH
State the problem, why it matters, and what would count as useful evidence.
Document methods, contributors, assumptions, and limitations so others can understand the work.
Publish outputs with clear authorship and licenses where the work can responsibly be made public.
Project records and outputs will be added after their owners and evidence are confirmed.
Explore a research focus page02 / Research examples
Sample projects show how the foundation’s research could be presented. These are illustrative, not actual work.
Illustrative projectARTIFICIAL INTELLIGENCE
Exploring the relationship between limited training data and useful learning systems.
Explore the questionIllustrative projectCOMPUTATIONAL FOUNDATIONS
Examining the trade-offs between computational cost, capability, and access.
Explore the questionIllustrative projectSCIENCE FOR PUBLIC BENEFIT
Considering how clear documentation and open methods can make research easier to use.
Explore the questionSHARED QUESTIONS. NEW POSSIBILITIES.