Hiranya Ganatra

Hiranya Ganatra is an Urban Planning Associate at Transitions Research’s initiative People’s Urban Living Lab (PULL). He is an architect and urban planner with keen interest in affordable housing, mobility planning, and climate adaptation at the intersection of spatial data analysis, policy research, and digital tools. His work focuses on using GIS, computational modeling, and urban research to develop resilient and inclusive city planning solutions. He has contributed to urban research, spatial mapping, and policy analysis for housing and Transit Oriented Development initiatives, applying data-driven methodologies to tackle urban challenges. His research on urban ecosystem revival was presented at ACADIA 2023. Hiranya holds a Master’s in City and Technology from Institute for Advanced Architecture of Catalonia (IAAC), Barcelona, where he explored data-driven urbanism and technology-integrated planning, and a Bachelor’s in Architecture from Mumbai University.

BREAKING THINGS AT THE SPEED OF THOUGHT (1)
Working Alone Together: Generative AI and the Future of Work
This article highlights the need to reflect on how genAI at work has the potential to change and impact the quality and nature of human associations in the context of its rapidly evolving world.
AI+ BLOG SERIES (Billboard (Square)) (2)
AI-plus blog series
This blog series aims to explore the various dimensions of AI as socio-technological assemblage, and examine its situatedness within diverse social worlds.
Implications of AI
When algorithms till the land: Speculative futures of AI in Indian agriculture
This blog post examines the human, and social dimensions of AI’s implications in Indian agriculture through two speculative fiction case-studies set in the year 2040. In the final part of this series, we underscore the importance of contextualising AI technologies and their diffusion, use and governance.
Implications of AI
When algorithms till the land: Speculative futures of AI in Indian agriculture
This blog post examines the human, and social dimensions of AI’s implications in Indian agriculture through two speculative fiction case-studies set in the year 2040. This is part 2 of a 3-part series, where through the narrative of Pravesh, a smallholder farmer in Karnatka, we grapple with the potential trade-offs and dependencies woven into the promise of AI-based technological progress.
AI in Agriculture
When algorithms till the land: Speculative futures of AI in Indian agriculture
This blog post examines the human, and social dimensions of AI’s implications in Indian agriculture through two speculative fiction case-studies set in the year 2040. The post is part of a three part series. This is part one of the series.
AI_FutureCities
Artificial Intelligence and Future Cities
This report examines various use cases of AI being developed for cities in India, to identify key challenges and risks.
AI_Education
Artificial Intelligence and Education in India
This report examines existing and emerging use cases of AI in the education sector in India, and identifies key challenges and risks associated with these use cases.
AIS
Artificial Intelligence for Sustainability
This report presents emerging use cases of AI for sustainability in both the global and Indian context.