Aadya Gupta is a research analyst with the Technology and Society Program at Carnegie India. Her research focuses on AI compute and informing a national compute strategy for India.
Prior to joining Carnegie India, Aadya was a research associate at DAI Research and Advisory Services, where she designed and implemented a randomized control trial for gender reskilling targeted at the Bihar Police. Her past research has been in the domain of development economics, behavioral economics, and political economy, with an overlay of gender. Aadya’s previous experience includes government consulting and advisory with Deloitte India. She also volunteers time as a mentor, particularly to young women in economics and policy.
Aadya holds a Bachelors Degree in Economics from the University of Delhi, Shri Ram College of Commerce (SRCC), and a Masters degree in Economics from the Shiv Nadar Institute of Eminence.
This essay is the first of a three-part series that will seek to understand the considerations for building compute capacity and the different pathways to accessing compute in India. This essay delves into the meaning of compute and unpacks the various layers of the compute stack.
Based on discussions that took place at the Global Technology Summit 2023, this essay delves into the economic case for DPIs.
With India set to host the sixth Quad Leaders' Summit in 2024, there is every opportunity for this minilateral to not only develop a DPI initiative but also execute pilots in the Indo-Pacific. This essay shares a rationale for how the four Quad countries could achieve this goal.
