Impact · Evidence and accountability
Impact, with the
evidence visible.
AI for Global Goals reports reach and access using one consistent set of operational statistics. This page also sets out what transparent annual impact reporting should make available next.
One shared set of site-wide figures.
These are the central scale statistics used across the website, kept in one shared source so page updates cannot drift apart.
Who gets a seat in the room.
Reach matters alongside representation and financial access. These measures keep that distinction visible.
Access measure
40%
Women across our programmes
Access measure
50%
From underrepresented backgrounds and geographies in technology
Access measure
20%
Supported through sponsored places
What annual reporting will cover.
A useful impact report needs definitions and outcomes, not just headline totals.
Statistics and methodology
Definitions, reporting periods, data sources and any independent assurance behind published figures.
Scholarships and access
Sponsored places, eligibility, allocation and who gains access to learning through that support.
Geographic reach
Participation by country and region, with enough context to distinguish enrolment from completion.
Participant outcomes
Completion, progression, skills evidence and longer-term education or career outcomes where available.
Partners and contribution
The role of teaching, venue, scholarship and industry partners in extending access and improving delivery.
Reporting status
Operational totals are not the same as audited statistics.
The current reach and access figures are presented as operational statistics, not as independently audited results. Future annual impact reports should publish the methodology, reporting period and any assurance status alongside every headline measure.
See the community