• Member
• September 29, 2025

Real Time Crowdsourcing to maximize the speed diversity relevance of idea inflow

Turbocharging the Innovation Funnel ⚡

Real-time crowdsourcing is the engine for the high-volume, initial phase of innovation across all challenge scales:

• Speed and Diversity: It allows the immediate collection of ideas, data, and solutions from a massive, globally dispersed crowd of Individual/Small Teams (students, start-ups, researchers) as soon as a problem is posted. This accelerates the "Outside-In" aspect of open innovation by shortening the idea-sourcing cycle from months to days or weeks.

• Rapid Problem Scoping: For Organizational Level challenges, real-time crowdsourcing provides immediate and diverse perspectives that can help refine or re-frame the problem statement itself, leading to more targeted and novel solutions from the start.

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Supporting Large Scale Interactive Processes (LSIP)

In the context of Urban & Industry Innovation Challenges and the VLSI Framework, real-time crowdsourcing is critical for gathering current, granular information necessary for systemic change:

• Real-Time Data/Feedback: It can be used to gather real-time data or feedback from the ground (e.g., in a "Nagar Navrachna" city challenge, this could be immediate data on traffic, waste management, or citizen sentiment). This input is vital for the Large Scale Interactive Process (LSIP), which depends on managing complex, multi-stakeholder realities.

• Co-creation Input: It enables continuous feedback and iteration. Instead of a linear submission process, a solution-seeker can post a preliminary idea and get rapid, real-time feedback from the crowd, allowing for agile refinement and co-creation with the wider ecosystem.

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Core to the VLSI Framework and Extended Enterprise

The Srijan Sanchar Very Large Scale Innovation (VLSI) Framework and the Ecosystem Level (Extended Enterprise) concept depend on connecting disparate knowledge. Real-time crowdsourcing is the connective tissue:

• Connecting the "Unknown" Resources: The VLSI model emphasizes connecting "unknown resources" (concepts from different fields). Real-time crowdsourcing facilitates this by simultaneously exposing a challenge to experts and non-experts across various domains (e.g., an AI challenge using an ecological model for a supply chain problem) and instantly aggregating their unique disciplinary insights.

• Ecosystem Integration: It provides the mechanism for integrating knowledge from customers, suppliers, academia, and government simultaneously, turning the abstract idea of an "Extended Enterprise" into a tangible, digital workspace for co-creation.