Research activity, made inspectable
How institutional AI research in India changed over eleven years.
Explore a fixed cohort through publication activity, institutional distribution and collaboration—with the measurement limits shown alongside the results.
Annual activity
The strict AI core grew faster than the broader candidate set.
Unique works within the fixed cohort16.4% compound annual growth in the strict core
Output expanded
Among the selected institutions, strict-core activity rose from 476 works in 2015 to 2,167 in 2025.
More pairs participated
Active institution pairs rose from 20 to 68, even as multi-cohort works fell from 6.1% to 3.9% of annual output.
Concentration needs context
The aggregate increase disappears when VIT is excluded, so it is a member-specific pattern—not a cohort-wide shift.
Video overview
India’s AI research boom, explained.
This NotebookLM video introduces the pilot’s scope, methods, main findings and limits—and shows how to read the results without treating them as a ranking.
Institution explorer
Examine activity without turning it into a league table.
Counts are descriptive for this selected cohort. Alphabetical order is the default; publication volume is not research quality.
| Institution | Type | 2025 works | 2015–2025 | Co-authored share |
|---|
Within-cohort collaboration
The network became broader, not consistently deeper.
Collaboration means a publication linked to at least two of the 25 cohort institutions. Partners outside the cohort are not counted.
Share of works with 2+ cohort institutions6.1% → 3.9%
Active institution pairs20 → 68
Most frequently observed ties
Repeated co-authorship links
Shared works are full counts. This list describes observed output, not relationship quality.
Robustness and uncertainty
The AI definition changes the result more than document type.
Sensitivity checks show which conclusions survive reasonable rule changes and which depend on a particular measurement choice.
Concentration diagnostic
One institution drives the aggregate increase.
2025 HHI0.1370.062 without VIT
The cohort-wide line should not be interpreted as evidence that every institution became more concentrated.
Data quality
Known limitations remain visible.
Core works with an abstract82.7%
Core works with a DOI98.5%
Independent human validation is pending. Classification and affiliation results on this site remain provisional.
Scope sensitivity
What changes when the rules change?
Bars show the change in unique works relative to the 12,758-work strict baseline.
Methods and downloads
Every number should be traceable to a rule.
Data snapshot acquired 19 September 2026. Sources and definitions are versioned so the panel can be rebuilt and challenged.
Sources
OpenAlex supplies publication and affiliation records. ROR supplies persistent organization identifiers.
AI boundary
A broad OpenAlex topic pull is narrowed by a conservative text rule for explicit AI or machine-learning methods and tasks.
Counting
Trends count each work once. Institution tables count one membership per directly affiliated cohort institution.
Interpretation
The cohort is purposive and selected on publication activity. Results cannot estimate national totals or policy effects.
Public research bundle
Read the paper or inspect the aggregate data.
Downloads contain publication-level summaries only. Detailed reviewer and author-identity files are intentionally excluded.