We believe that innovation and research in India’s homegrown knowledge systems or Shaastras can be broadly categorized as follows:

1. Fundamental Shaastric research – Continuation of shaastric inquiry into principles / models of inner and outer nature.
   • Improving upon existing shaastric understanding of natural phenomena.
   • Novel elucidation of principles / models present in a shaastra or a shaastric methodology.
2. History of Indic thought or knowledge Sources
3. Measuring Shaastric Phenomena – Validation of shaastric methodology of inquiry and observations of phenomena via novel instrumentation and measurement and detection techniques. This is the missing step towards evidence-based reasoning of many shaastric concepts considered esoteric today.
   • E.g., Measurements for psychological parameters of Human behavior
   • E.g., Measurement of Ayurvedic parameters of health (tri-doshas etc.), Naadi-pariiksha
4. Experimental Shaastra Validation – Experimental validation of shaastric claims using modern technology.
   • E.g., Efficacy of Ayurvedic drugs
5. Applied Shaastric Research – Novel, contemporary application of principles / models of phenomena found only in the shaastras.
   • E.g., the use of Nyaaya and Mimaamsa approaches to knowledge representation in modern knowledge graphs
   • E.g., Indian aesthetic models for sentiment analysis of  social media conversations, or evaluating aesthetic quality of art performance
6. Indic Knowledge Mining – Application of modern technology to accelerate the organization and systematic exploration of Indic knowledge base for contemporary uses.
   • E.g., Machine-learning to extract Ayurvedic herbal information from treatises.