EcosystemSUMMIT & RESEARCH
Evidence library / Connected ≠ Ready: Getting to a Ground-Level View of AI Readiness for Women and Vulnerable Populations
AI for development · SELECTED MOMENT · 1:21

Subnational and gender comparisons in Nigeria reveal differing readiness distributions and candidate constraints.

Likely speaker
Bhaskar ChakravortiDean of Global Business; Chair, Digital Planet · The Fletcher School, Tufts UniversityLinkedIn ↗

Free short preview · A smartphone can still leave you disconnected

Speaker turns in this passage

Select a time to jump to that part of the passage. Speaker changes are approximate.

Bhaskar ChakravortiDean of Global Business; Chair, Digital Planet · The Fletcher School, Tufts UniversityLinkedIn ↗

Subnational and gender comparisons in Nigeria reveal differing readiness distributions and candidate constraints.

View citation

Attributed contributors: Bhaskar Chakravorti. “Subnational and gender comparisons in Nigeria reveal differing readiness distributions and candidate constraints..” Connected ≠ Ready: Getting to a Ground-Level View of AI Readiness for Women and Vulnerable Populations. ECOSYSTEM Summit, Barcelona, 16 September 2026. Session time 28:23–29:45. https://cs-ecosystem.commonshare.workers.dev/evidence/E-a47ae9a5911c

Interpretation and context.

Analyst synthesis. The recording establishes that a claim was made. It does not independently establish the claimed effect.

demonstration

Subnational and gender comparisons in Nigeria reveal differing readiness distributions and candidate constraints.

Contributors
Bhaskar ChakravortiDean of Global Business; Chair, Digital Planet · The Fletcher School, Tufts UniversityLinkedIn ↗

Proposed mechanism: Disaggregate before selecting priorities.

Limit: Modelled drivers are not automatically causal policy levers.

evaluationcontextual adaptationunequal harms

Where it connects.

Explore the linked codes above to compare related passages.