AI & digital systems
Responsible systems, accessible tools, data practices and technology designed around human needs.
02 / What we back
XTF is interested in work that starts with a meaningful question, uses technology with purpose and makes its reasoning open to examination.
A field does not make a project valuable. Its question, method and consequences do.
The areas below are a map, not a checklist. Work may move between disciplines, combine physical and digital systems or create a new category entirely.
Across every field, XTF looks for a clear problem context, a credible method, responsible testing, honest limits and a reason the work should exist beyond its maker.
Responsible systems, accessible tools, data practices and technology designed around human needs.
Evidence-led approaches to resilience, efficiency, adaptation and sustainable infrastructure.
Physical systems that make a measurable task safer, clearer, more efficient or more possible.
Careful investigation where safety, evidence, consent and ethics remain central.
Tools and research that improve access, rights, civic life, education and shared capacity.
Interfaces, experiences and media that help people understand, imagine or participate.
03 / What strong work shows
A project must explain what problem it addresses, what existing work it has learned from and what evidence would count as progress.
Who experiences the problem, what causes it and why does it matter now?
What will be observed, tested or compared—and what could change the conclusion?
What risks, exclusions, safety questions or unintended consequences need attention?
Who can use the result, learn from it or carry the work forward?
04 / Our position
The question comes before the category.
A strong project may fit more than one focus area. Programs publish their specific scope and eligibility before applications open.