11th Hour Project

Grassroots to Global (G2G): Cross-Pollinating Agroecological Innovations

GIAN × 11th Hour Project | Ahmedabad, Gujarat | September 2025

Discover how grassroots innovations, traditional knowledge and AI-enabled knowledge networks can support new possibilities for local experimentation.

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ABOUT THE PROJECT

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Across different regions and communities, farmers, artisans, workers, mechanics, students and other grassroots innovators have developed practical solutions to local agricultural and ecological challenges. Over four decades, the Honey Bee Network has documented and shared thousands of such innovations, practices and experiences. Yet much of this knowledge remains scattered, and solutions developed in one context rarely become a source of learning for communities facing similar challenges elsewhere.

Grassroots to global (g2G) aims to address this gap by connecting grassroots knowledge across regions, agro-ecological contexts and socio-economic gaps. The project brings together diverse knowledge sources and develops HBN Gianee, a knowledge system designed to help discover relevant experiences, understand their context, identify underlying principles and explore possible connections between them.

The purpose is not to simply transfer an innovation from one place to another. A solution that works in one location may not be appropriate elsewhere. g2G therefore focuses on understanding the context, principles, limitations and experience behind an innovation so that it can generate new questions, inspire local experimentation and support solutions suited to local conditions.

What Makes HBN Gianee Different?

Moving beyond rigid ‘Question → Answer’ systems toward an active, curiosity-driven learning model built for grassroots innovation.

Existing Knowledge

Grassroots innovations, farmer practices, traditional knowledge, medicinal plants, Shodh Yatra experiences, student projects and other relevant knowledge sources

Contextual Relevance

Understanding the ecological, geographical, cultural and practical conditions in which a solution has been developed and used.

Experimentation

Using existing knowledge to generate possibilities for small-scale, locally relevant experimentation rather than assuming that a solution can simply be transferred.

Learning from Experience

Capturing voluntary farmer feedback, observations and experimental outcomes, with their source, context and evidence status, so that useful experiences can contribute to the wider knowledge base.

Project Goals

Guiding every decision we make to connect, discover, and grow grassroots innovation worldwide.

Connect Dispersed Knowledge

Uniting innovations from the Honey Bee Network and global grassroots databases so discoveries travel across regions and contexts.

Understand Context

Bridging local, vernacular, and scientific language with crops, pests, climate, soil, and seasonal conditions.

Discover Principles

Surfacing underlying patterns and cross-domain analogies between innovations from different regions and fields.

Support Experimentation

Moving users from existing knowledge to testable hypotheses and small-scale experiments in their own conditions.

Shared Knowledge Loop

Documenting farmer observations, images, and outcomes into a living knowledge base validated and shared with others.

Preserve Attribution

Retaining innovator, source, and location data while upholding Honey Bee Network principles of recognition and fair benefit-sharing.

COLLABORATIVE INNOVATION

From Grassroots Knowledge to a Living Knowledge System

The longer-term vision of g2G is therefore not a static repository of innovations. It is a living knowledge system in which documented knowledge, local experience, expert inputs, field experimentation and community feedback can continuously inform one another.

A farmer’s innovation can provide an idea to another farmer. That farmer’s adaptation can generate a new observation. That observation can raise a new question. A validated experience can then become useful to another community facing a related challenge.

This is the process of cross-pollination that g2G seeks to enable: knowledge moving between communities while remaining grounded in the ecological, cultural and practical conditions in which it is used.

The technology is therefore a means to support a larger objective: to strengthen the ability of communities to share, learn, experiment and create new knowledge from their own experiences.

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