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ANRF to anchor India’s scientific future: Jitendra

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ANRF to anchor India’s scientific future: Jitendra

by Blitz India Media
April 18, 2025
in News
jitendra
Blitz Bureau

NEW DELHI: The newly-constituted Anusandhan National Research Foundation (ANRF) is a critical organisation for all science ministries and departments across the government, Union Minister Dr Jitendra Singh has said, adding that ANRF has been envisaged to anchor upscaled collaborations involving private players.

Chairing a high-level joint meeting of all the science ministries and departments at the National Science Centre, the minister laid out a vision for aligning research outcomes across departments with national priorities, private sector participation and market readiness.

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Jitendra said, “At the core of this shift is the aspiration to build a unified research strategy that breaks silos, avoids duplication and delivers tangible, scalable benefits to society. All the science ministries must work with the intent to deliver market-relevant, public-good products,” he emphasised, adding that ANRF will not only act as a coordinating body but also serve as a catalyst to bring in private sector investment and innovation.”

Dr Shivkumar Kalyanaraman, ANRF CEO, outlined a bold roadmap that envisions catalytic funding models, deep private sector integration, and AI-led scientific acceleration.

The agency is set to model its functioning on globally successful institutions like the NSF and DARPA, launching cross-ministerial missions focused on economic growth and societal impact. Notably, ANRF is set to launch a “Small Business Deep Tech Innovation” programme inspired by global best practices, aimed at supporting startups and MSMEs in scaling technologies for real-world application.

In a bid to maximise national research infrastructure, ANRF will also roll out a “Cloud of Research and Innovation Infrastructure” to allow deep-tech startups and institutions to access underused equipment across the country.

The foundation’s ‘AI-for-Science’ initiative is another key highlight, focusing on using AI to model scientific equations in physics, chemistry, and biology — a leap expected to drastically shorten the time from theory to practice in core scientific domains.

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