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Science successful only when society benefits from it: Modi

Prime Minister Modi stated that science needs to produce societal value through lab-to-land innovation. The progress India has made in space, artificial intelligence (AI), semiconductors, and nuclear power indicates increasing self-reliance. Nevertheless, lack of investment in R&D, inadequate commercialisation of innovation, and access disparities exist. Scientific excellence can be ensured by increasing research funding, industry-academia partnership, and responsible innovation.

28 Oct 2026 2 min read 7 views
Science successful only when society benefits from it: Modi

Quick Revision

Why in news: Recently, Prime Minister Narendra Modi made an address at the Emerging Science, Technology and Innovation Conclave (ESTIC) 2026 held in New Delhi. He reiterated that science needs to go from laboratories to the field and give concrete results for its efforts. He talked about the success India has achieved in the field of space science, nuclear science, artificial intelligence (AI), semiconductor technology, and indigenous innovation.

Background

  • Scientific heritage: India's tradition of scientific discovery dates back to contributions such as zero and continues through modern scientific achievements.

  • Space achievements: Chandrayaan, Mangalyaan and satellite docking demonstrate India's growing technological capabilities.

  • Research ecosystem: The Anusandhan National Research Foundation (ANRF) seeks to strengthen research and innovation.

  • Growing patent filings: The Prime Minister cited an increase in patent filings from approximately 50,000 to 1.5 lakh.

  • Emerging technologies: India is expanding its capabilities in AI, semiconductors, nuclear energy, space technology and battery development.

Features

  • Research funding: The address highlighted a ₹1 lakh crore commitment, including ₹12,000 crore for translating research into marketable products, along with additional commitments of ₹24,000 crore.

  • Nuclear energy: The 500 MW Prototype Fast Breeder Reactor (PFBR) achieving first criticality marks progress in India's nuclear programme.

  • Indigenous innovation: Domestic AI models, chips, launch vehicles and battery technologies can strengthen technological self-reliance.

  • Responsible AI: AI should improve productivity without undermining independent thinking, scientific judgement or accuracy.

  • Outcome-oriented science: Research institutions must demonstrate practical results rather than limiting themselves to discussions and publications.

Challenges

  • Low research intensity: Insufficient R&D investment relative to leading innovation economies limits scientific competitiveness.

  • Lab-to-market gap: Many research breakthroughs fail to become commercially viable products or public services.

  • Limited industry–academia collaboration: Weak technology-transfer mechanisms and inadequate private investment slow innovation.

  • Unequal access: Rural communities and economically weaker sections may not benefit equally from scientific advances.

  • AI-related risks: Bias, misinformation, privacy concerns and overdependence on automated systems can affect scientific integrity.

  • Critical technology dependence: Import dependence in certain semiconductor components, advanced materials and equipment poses strategic risks.

  • Talent and infrastructure gaps: India needs stronger research institutions, advanced laboratories and opportunities for young scientists.

Way Forward

  • Increase R&D expenditure: Strengthen public funding and encourage private investment through incentives and research partnerships.

  • Bridge the lab-to-land gap: Support technology transfer, start-ups, pilot projects and affordable commercialisation.

  • Promote industry–academia partnerships: Encourage joint research programmes and innovation clusters.

  • Build scientific talent: Expand research fellowships, advanced training and interdisciplinary education.

  • Ensure responsible AI: Maintain human oversight, independent scientific reasoning, data protection and rigorous validation.

  • Prioritise inclusive innovation: Apply science to agriculture, healthcare, education, sanitation and rural development.

  • Strengthen self-reliance: Invest in indigenous semiconductors, battery technology, nuclear energy and space systems.

  • Measure social impact: Evaluate research through improvements in livelihoods, public services, productivity and affordability—not just patents or publications.

Conclusion

Science becomes truly successful when scientific knowledge translates into social welfare, economic progress and better quality of life. India's growing technological capabilities provide an opportunity to move from technology adoption to technology leadership. However, sustained research investment, responsible innovation and equitable access are essential to ensure that scientific progress benefits every section of society.

UPSC Prelims Facts

Term: "Science Successful Only When Society Benefits from It" — PM Modi at ESTIC 2026

Meaning: Prime Minister Narendra Modi, addressing the Emerging Science, Technology and Innovation Conclave (ESTIC) 2026 in New Delhi, stressed that science must move from laboratories to the field and deliver concrete results for society, citing India's achievements in space science, nuclear science, AI, semiconductor technology and indigenous innovation, and highlighting a ₹1 lakh crore research commitment (including ₹12,000 crore for translating research into marketable products, plus ₹24,000 crore additional commitments) and the 500 MW Prototype Fast Breeder Reactor (PFBR) achieving first criticality.

Related: ESTIC 2026, Anusandhan National Research Foundation (ANRF), Chandrayaan, Mangalyaan, satellite docking, patent filings rising from ~50,000 to 1.5 lakh, Prototype Fast Breeder Reactor (PFBR), responsible AI, indigenous AI models and chips, battery technology, industry–academia collaboration.

Core Themes: Outcome-oriented science and the lab-to-land gap; low research intensity and limited industry–academia collaboration; responsible AI with human oversight and scientific integrity; unequal access for rural and weaker sections; critical technology dependence in semiconductors, advanced materials and equipment; talent and infrastructure gaps; way forward through higher R&D expenditure, technology transfer and commercialisation, industry–academia partnerships, scientific talent building, responsible AI, inclusive innovation, self-reliance and measuring social impact beyond patents and publications.

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Mains angle

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Syllabus: Science & Technology

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