India’s Research Blind Spot

What is Metascience?

• The systematic study of how science itself works.
• It examines questions such as:
  
• How are research funds allocated?
• Which funding models produce better results?
• How do incentives influence researchers?
• Which institutional arrangements encourage collaboration?
• How effectively does research translate into innovation?
• What happens to research performance when leadership or policies change?
• Thus 
  
• Science → produces knowledge
• Metascience → studies how scientific knowledge is produced and how the research system performs
• It brings together methods from several disciplines:
    Economics + Sociology of Science + Political Science + Public Policy + Scientometrics + Organisational Studies + History & Philosophy of Science

Why does India have a research blindspot? 

Structural factors

• Limited evidence on the science ecosystem:
  
• This limits evidence-based policymaking in science.
• Weak institutional memory
  
• Scientific institutions often depend heavily on the experience and judgement of individual leaders.
• When leadership or personnel change, knowledge about past successes, failures and institutional practices can disappear if it has not been documented.
• Limited metascience capacity:
  
• This weakens India's ability to evaluate its own research system.
• Inadequate evaluation of funding mechanisms:
  
• Funding institutions need evidence on whether the mechanisms they use are actually producing the intended outcomes.
• Without such evaluation, funding decisions can become dependent on established practices, institutional preferences, individual judgement, and changing policy priorities rather than accumulated evidence.

Cyclical factors 

• Frequent changes in leadership and priorities: Changes in institutional leadership can alter research priorities and funding approaches, while previous experience may not be systematically carried forward.
• Tension between immediate goals and long-term research: Pressure to demonstrate quick results can favour research with identifiable short-term outcomes, while fundamental research can require long periods before its applications become visible.
• Policy driven by trends: Without domestic evidence, India risks adopting research priorities without adequately understanding whether a particular approach works in the Indian institutional context.

What should India do?

Incremental measures 

• Build metascience as a research field: Invest in dedicated research examining India's science ecosystem through:
  
• Economics of science
• Sociology of science
• Public policy
• Scientometrics
• Organisational studies
• History and philosophy of science
• Create institutional memory:
  
• This would allow future policymakers to build on accumulated evidence rather than starting afresh with every change in leadership.
• Evaluate funding mechanisms: Research-funding institutions should assess What was funded → why it was funded → what happened → whether the intended outcome was achieved.  This can improve the effectiveness of public investment in science.
• Strengthen evidence-based priority setting: Decisions on research priorities should be based on evidence about India's own scientific and institutional needs, rather than simply following global policy trends.

Disruptive measures

• Make metascience part of India’s science-policy architecture
  
• Instead of treating evaluation as an occasional exercise, India can institutionalise continuous study of its research ecosystem.
• This would create a feedback loop: Research policy → implementation → evidence → evaluation → institutional learning → improved policy
• Such a system can help India understand how funding, incentives, institutions and researchers interact, and consequently design better science policy.
• Balance mission-oriented and curiosity-driven research
  
• India should avoid choosing between the two.
• Mission-oriented research can address strategic and societal challenges, while curiosity-driven research can create the foundational knowledge from which future technologies emerge.

Conclusion:

India's scientific challenge is not only to produce more research, but also to understand how its research system produces results. Building a strong metascience ecosystem can create institutional memory, improve research funding and enable evidence-based science policy. A balance between mission-oriented goals and curiosity-driven research, supported by systematic evaluation, can make India's science ecosystem more adaptive and effective.