Please describe your proposed solution.
At ImpactScope one of the core pillars of our mission is to incentivize social behavioural change for impact via tokenization. Through our research, we find more needs to be done to link ledger design with the behavioural relationships they seek to modify.
The token at the center of our ecosystem will be designed to influence drivers of behaviour change with our partner projects where it will be deployed. We call this concept Verify2Earn.
There are various earning means in crypto that incentivize various actions, for example, Play2Earn in the gaming industry and Move2Earn for fitness. Our aim is to introduce an open-source Verify2Earn to become the mechanism to incentivize social behavioural change for impact.
It could be deployed by both individual members of the Cardano community to measure any personal sustainable related challenges or any protocol developing on Cardano to use in its own ecosystem. Examples of actions could include:
- Recycling
- Picking up litter
- Avoiding meat for the day
- Saving water
- Reducing electricity consumption
- Spending more time in nature
- etc
To give explicit examples of how we at ImpactScope would aim to deploy the mechanism with our pilot partner projects it would include the following:
- Rewarding participants involved in plastic bottle collection and recycling in Uganda
- Incentivizing the use of fuel-efficient cooking stoves and cooking pre-cooked beans to reduce CO2 emissions in East Africa whilst also serving to improve nutrition
Please describe how your proposed solution will address the Challenge that you have submitted it in.
Our proposed solution of research and implementation of a PoC of a Verify2Earn mechanism to support the Cardano ecosystem meets a number of Challenge KPIs as well as those of Cardashift in general which aims to empower every human being to build a sustainable world through building tools to create new economic paradigms.
Our concept of Verify2Earn is a sub-system of the ImpactScope ecosystem that is being developed in order to monetize impact. We seek to align specifically with the Challenge KPIs as follows:
- Verify2Earn will be deployed across different contexts and we aim to find a standardized holistic approach which can be applied to a variety of behavioural change incentives. This could be education, carbon cycle, biodiversity, etc.
- Through recording positive behavioural actions on-chain we thus create impact proofs and bring more traceability and transparency.
- As the link between drivers of behavioural change in real-world ecosystems and a ledger ecosystem is made then we will be able to attribute financial value to impact through this measurement.
The approach is based on the concept of blockchain-based crowdfunding where verification tasks are allocated among users of the Cardano and Cardashift communities.
What are the main risks that could prevent you from delivering the project successfully and please explain how you will mitigate each risk?
As the Verify2Earn grant proposal relates to research for a PoC of the mechanism we aim to identify the main risks of development as part of this project and will define mitigation steps as we encounter them. Having said that some obvious hurdles we will surely face could be:
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Fraud prevention and gaming the system - Whilst our mechanism is aimed at socially conscious individuals who want to improve their behaviours, as monetary incentives for impact are introduced we cannot rule out the participation of bad actors wanting to game the system. Steps to mitigate could include multiple verifications, referral schemes, KYC, etc.
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Access to technology and which telemetry to record - One consideration is the level of technology people will have access to from both the developing and developing worlds to record their actions. Here we assume at least access to a mobile phone but it may only have basic functionality so the full range of Verify2Earn mechanisms may not be available to all but will seek to be as inclusive as possible.
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Generalisation - A big challenge will be how can we or is it even possible to generalise the Verify2Earn mechanism across different contexts. If we cannot find a suitable solution for this we will target a more modular approach.