Iagon : Statur - Reputation Model for Web3 Ecosystem that encourages positive behaviour

[GENERAL] Name and surname of main applicant

Navjit Dhaliwal

[GENERAL] Are you delivering this project as an individual or as an entity (whether formally incorporated or not)

Entity (Incorporated)

[GENERAL] Requested funds in ada

388635

[GENERAL] Please specify how many months you expect your project to last (from 2-12 months)

12

[GENERAL] Please indicate if your proposal has been auto-translated into English from another language.

No

[GENERAL] Summarize your solution to the problem (200-character limit including spaces)

Statur: A system using Iagon's storage to securely track and manage reputations in web3, using karma points and badges to evaluate and encourage positive contributions.

[GENERAL] Does your project have any dependencies on other organizations, technical or otherwise?

No

[GENERAL] If YES, please describe what the dependency is and why you believe it is essential for your project’s delivery. If NO, please write “No dependencies.”

No dependencies.

[GENERAL] Will your project’s output/s be fully open source?

Yes

[GENERAL] Please provide here more information on the open source status of your project outputs

Open Source

[SOLUTION] Please describe your proposed solution.

Statur, a reputation model that evaluates individuals or entities based on their positive actions and contributions. It enables tracking and management of reputation, encouraging engagement in reputation-building activities. Data collection mechanisms capture user´s positive behaviors, and algorithms calculate reputation metrics, including quantitative (karma points) and qualitative (badges) metrics. Statur leverages Iagon's decentralized storage, ensuring secure data storage. Use cases include assessing trustworthiness on decentralized exchanges, enhancing decision-making in blockchain governance, and maintaining quality in web3 platforms. Statur integrates with Iagon's storage protocol, aiding users in viewing reliable and transparent information. The proposed action plan covers development tasks for data collection, reputation calculation, UI design, and deployment. Overall, Statur offers a secure solution for reputation management in web3 contexts.

Objectives

1. Develop a reputation quantification and evaluation system: The document aims to create a system called Statur that can quantify and evaluate the reputation of individuals or entities based on their actions, behaviors, and contributions within a specific context or ecosystem.
2. Define metrics and criteria for reputation measurement: It proposes to define metrics and criteria for measuring these activities. These metrics will be used to calculate reputation scores and provide a comprehensive view of a user's reputation.
3. Establish a quantitative reputation metric: It suggests incorporating a quantitative reputation metric, such as karma points, to represent the overall reputation of users. Karma points can be earned based on specific actions and contributions, providing a tangible measure of reputation.
4. Establish a qualitative reputation system: It proposes establishing a qualitative reputation system through the use of badges. These badges will recognize notable achievements and provide additional recognition for users who have made significant contributions or achieved certain milestones.
5. Implement automated distribution mechanisms: It aims to implement automated distribution mechanisms for karma points, upvotes, and downvotes. These mechanisms will ensure fair and consistent distribution based on predefined rules, avoiding bias or manipulation.
6. Securely store reputation-related data: It highlights the use of Iagon's decentralized storage infrastructure to securely store reputation-related information, preset rules for reputation. This infrastructure ensures data integrity, availability, and privacy, providing a robust and reliable solution for managing reputation data.
7. Explore impactful use cases: It outlines several use cases where the reputation model can be applied within the web3 ecosystem. These use cases include decentralized exchanges, blockchain governance, decentralized autonomous organizations, identity verification, token curated registries, and web3 social platforms.
8. Utilize reputation model in Iagon storage and computational protocol: It suggests effectively utilizing the reputation model within the context of Iagon's storage and computational protocol. This includes selecting reliable storage providers, trustless data storage, incentivizing quality storage services, efficient dispute resolution, and reputation-based governance and decision-making.
9. Develop the necessary components and APIs: It provides an action plan that includes tasks such as reputation calculation, karma point system implementation, badge system implementation, automated distribution development, user interface design, reputation API development, contract development, reputation update mechanism implementation.

 

Overall, the objectives of the Statur revolve around creating a robust reputation model that can be utilized in various contexts within the web3 ecosystem, ensuring fairness, transparency, and security in reputation evaluation and management.

[IMPACT] Please define the positive impact your project will have on the wider Cardano community.

The proposed solution tackles the task of establishing a reputation system for the Cardano ecosystem. It offers a transparent and reliable mechanism for evaluating the reputation of both project owners and participants. Here's an overview of how the solution addresses this challenge and the benefits it brings to the Cardano ecosystem:

1. Trust and Transparency: The reputation system introduces a trust layer by assigning reputation scores to project owners and participants based on their past behaviour and contributions. This transparency enables users to make informed decisions when engaging with projects, reducing the risks associated with fraudulent or malicious activities. Users can trust the reputation scores as they are calculated based on objective criteria and verified data.
2. Enhanced Collaboration: The reputation system incentivizes positive behaviour and contributions within the Cardano ecosystem. Participants with high reputation scores are more likely to attract collaborators, as their credibility and track record are readily visible. This fosters a collaborative environment where users can easily identify trustworthy partners and engage in meaningful collaborations, leading to the development of high-quality projects and applications.
3. Improved User Experience: Users can rely on reputation scores to evaluate the credibility and reliability of participants. This enables them to make informed decisions when selecting projects or individuals to engage with. The reputation system provides a valuable tool for users to assess the trustworthiness of the ecosystem's participants, resulting in a more satisfying and rewarding user experience.
4. Governance and Decision Making: The reputation system can be integrated into Cardano's governance mechanisms, allowing reputation scores to influence decision-making processes. This ensures that individuals with a positive track record and high reputation have a greater influence in shaping the future of the ecosystem. By incorporating reputation as a factor in governance, the Cardano ecosystem can promote a more transparent, accountable, and merit-based decision-making process.
5. Ecosystem Growth and Attraction: The reputation system adds value to the Cardano ecosystem by attracting more users and developers. A reputation system enhances the overall credibility and trustworthiness of the platform, making it more appealing for individuals and organisations to participate and contribute. As the ecosystem grows, it attracts more economic activity, innovation, and investment, solidifying Cardano's position as a leading blockchain platform.

In the case of the Iagon storage and computation system, here is the overview of the solution of the Statur Reputational Model.

The reputation model can be effectively utilized in the context of Iagon storage and computational protocol.

1. Selecting Reliable Storage Providers: Iagon decentralized storage provides solutions where multiple providers offer their storages. Reputation metrics can help users evaluate the reliability and performance of different storage providers. Users can choose providers with higher reputation metrics, indicating their track record of delivering reliable and efficient storage solutions.
2. Trust-worthy Data Storage: By integrating the reputation model, Iagon storage providers can ensure the integrity and security of stored data. Reputation metrics can serve as a measure of a provider's trustworthiness and their commitment to data privacy and protection. Iagon can have more confidence in selecting storage providers with higher reputation metrics, knowing that their data will be handled with care.
3. Incentivizing Quality Storage Services: The reputation model can incentivize storage providers to offer high-quality services. Providers can earn karma points and badges based on their performance, such as maintaining high uptime, providing fast retrieval speeds, and offering secure data encryption. This encourages providers to continuously improve their offerings and enhances the overall quality of Iagon storage services.
4. Efficient Dispute Resolution: In the event of disputes or issues with storage services, reputation metrics can play a role in resolving conflicts. Users can leverage reputation metrics as an objective metric to highlight concerns and seek resolution. Storage providers with a history of positive reputation may be more inclined to address and resolve disputes promptly to maintain their standing in the community.
5. Governance and Decision-making: Reputation metrics can be utilized in the governance of Iagon storage service. Users with higher reputation metrics can have a greater influence on decision-making processes, such as participating in voting on platform upgrades, proposing changes, or shaping the platform's future direction. This ensures that the community's most reputable members have a voice in the platform's governance.

In summary, the proposed reputation system meets the challenge in the Cardano ecosystem and Iagon storage application by instilling transparency, trust, and accountability. Its positive impact includes fostering collaboration, elevating user experience, enabling effective governance, and stimulating ecosystem growth. Collectively, these advantages cultivate a dynamic and prosperous Cardano ecosystem, establishing it as a trustworthy and appealing platform for users.

[CAPABILITY & FEASIBILITY] What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?

The main goals of the project are as follows:

1. Develop a reputation quantification and evaluation system: The document aims to create a system called Statur that can quantify and evaluate the reputation of individuals or entities based on their actions, behaviours, and contributions within a specific context or ecosystem.
2. Define metrics and criteria for reputation measurement: It proposes to define metrics and criteria for measuring these activities. These metrics will be used to calculate reputation scores and provide a comprehensive view of a user's reputation.
3. Establish a quantitative reputation metric: It suggests incorporating a quantitative reputation metric, such as karma points, to represent the overall reputation of users. Karma points can be earned based on specific actions and contributions, providing a tangible measure of reputation.
4. Establish a qualitative reputation system: It proposes establishing a qualitative reputation system through the use of badges. These badges will recognize notable achievements and provide additional recognition for users who have made significant contributions or achieved certain milestones.
5. Implement automated distribution mechanisms: It aims to implement automated distribution mechanisms for karma points, upvotes, and downvotes. These mechanisms will ensure fair and consistent distribution based on predefined rules, avoiding bias or manipulation.
6. Securely store reputation-related data: It highlights the use of Iagon's decentralized storage infrastructure to securely store reputation-related information, preset rules for reputation. This infrastructure ensures data integrity, availability, and privacy, providing a robust and reliable solution for managing reputation data.
7. Explore impactful use cases: It outlines several use cases where the reputation model can be applied within the web3 ecosystem. These use cases include decentralized exchanges, blockchain governance, decentralized autonomous organizations, identity verification, token curated registries, and web3 social platforms.
8. Utilize reputation model in Iagon storage and computational protocol: It suggests effectively utilizing the reputation model within the context of Iagon's storage and computational protocol. This includes selecting reliable storage providers, trustless data storage, incentivizing quality storage services, efficient dispute resolution, and reputation-based governance and decision-making.
9. Develop the necessary components and APIs: It provides an action plan that includes tasks such as reputation calculation, karma point system implementation, badge system implementation, automated distribution development, user interface design, reputation API development, contract development, reputation update mechanism implementation.

To validate the feasibility of the approach, the project can undertake the following steps:

1. Conduct a thorough technical feasibility study: Assess the technical requirements and challenges associated with developing the reputation quantification and evaluation system. Evaluate the availability of required resources, such as data collection mechanisms, algorithms, and storage infrastructure. Identify any potential technical limitations or risks and develop mitigation strategies.
2. Prototype development and testing: Build a functional prototype of the Statur reputation model and test it with a representative sample of users or entities. Gather feedback on usability, accuracy, and performance to identify any necessary improvements or adjustments.
3. Collaborate with relevant users: Engage with organisations or individuals who may benefit from or contribute to the reputation model. Seek their input, validate the value proposition, and ensure alignment with their needs and requirements.
4. Pilot implementation and evaluation: Deploy the reputation model in a limited-scale environment or specific use case and evaluate its effectiveness. Measure the impact of the reputation system on trust, decision-making, and user engagement. Assess whether the reputation metrics accurately reflect users' actions and contributions.
5. Iterate and refine: Based on user feedback, data analysis, and evaluation results, iterate on the reputation model to improve its functionality, accuracy, and fairness. Continuously gather user insights and make necessary adjustments to enhance the system's effectiveness.

By following these steps, the project can gather evidence to demonstrate the feasibility of the approach and make informed decisions regarding its implementation and further development.

Other reasons:

1. Track Record: Evaluating our past projects, partnerships, and collaborations can provide insights into their ability to deliver on our promises and meet our commitments. Looking for references, testimonials, or case studies can help gauge our track record of delivering successful projects and maintaining accountability. Examples of accomplished work are MVP for storage, testnet released for resource providers and multisender (LegerFlow). 
2. Reputation and Reviews: Researching our reputation within the Cardano community and wider industry can provide insights into our credibility and trustworthiness. Examining online reviews, ratings, and feedback from clients, partners, and users can help assess our accountability in previous endeavours. Examples of reputation are transparency models with our tokenomics via ADAHandle and allocation team tokens for the Nomad exploit. 
3. Team: Our team consists of experienced developers and experts in the field of blockchain and reputation systems. We have a proven track record of delivering high-quality projects with a strong focus on trust and accountability. Team co-founders include: Dr. Navjit Dhaliwal (has led 3 successful startups, increased revenue over 3 years from 0 NOK to 10 million NOK), Dr. Rohit Gupta (former director of technology for Expedia, currently a senior manager at Google, wrote thesis in decentralised compute in 2005), Dr. Claudio Lima (former CTO at Huawei in east asia, currently education governments and enterprises on Blockchain architecture) and Dr. Elad Harison (AI/machine learning expert, economics professor). The team consists of 19 developers, and can be expanded to a larger group if needed.  
4. Communication and Engagement: The willingness to communicate openly and engage with token holders, including the Cardano community, can indicate a commitment to transparency and accountability. Regular updates, community involvement, and responsiveness to queries and concerns can enhance trust in the project.

[Project Milestones] What are the key milestones you need to achieve in order to complete your project successfully?

Milestone 1: Initial project planning and UI/UX Design

Development time estimate: 1 month (1 Senior Backend Developer, 1 Contract Developer, 1 UI/UX Designer)

Budget: $16,000

Tasks

• Backend Architecture Design
• Contract Architecture Design
• Database Design
• Design UI/UX components for the system

Milestone 2: Reputation Calculation Algorithm

Development time estimate: 3 months (2 Backend Developers, 1 UI/UX Designer)

Budget: $19,200

Tasks:

• Develop data collection mechanisms
• Develop an algorithm for calculating reputation based on past activities
• Develop an algorithm on generating reputation and distribution going forward
• Blueprint on how to integrate the algorithm with 3rd party projects
• Develop a karma point system
• Testing

Milestone 3: Soul Bound NFT and Contract Development

Development time estimate: 2 months (1 Contract Developer, 1 UI/UX Designer)

Budget: $10,400

Tasks:

• Develop a Soul Bound NFT
• Logic of minting and distribution of the NFT
• Develop an algorithm to validate the ownerships of the NFT
• Develop an algorithm to add the reputation score in NFT(Karma Points and badges)
• Develop an algorithm to retrieve reputation score from NFT
• Designs initial badges
• Contract development
• Logic to update the reputation score and badges
• Testing

Milestone 4: API Development and frontend development

Development time estimate: 5 months (1 Backend Developers and 2 frontend developers)

Budget: $60,000

Tasks:

• Develop API to store reputation data in IAGON Storage
• Develop API for user dashboard
• Develop API for third party projects
• Other integrations with smart contract
• Frontend Development
• API integration

Milestone 5: Integration and deployment

Development time estimate: 1 month (1 DevOps)

Budget: $43,200

Tasks:

• Testing
• Deployment

Here's a breakdown of the deliverables, outputs, and intended outcomes for each milestone:

Milestone 1: Initial Project Planning and UI/UX Design

• Deliverables:
• Comprehensive project plan, including backend and contract architecture designs.
• Database design for efficient data storage and retrieval.
• User Interface (UI) and User Experience (UX) components ready for development.
• Intended Outcomes:
• A well-defined and organized project plan.
• Clearly outlined backend and contract architectures.
• UI/UX components that align with the project's goals.

Milestone 2: Reputation Calculation Algorithm

• Deliverables:
• Data collection mechanisms to gather relevant user activity.
• Reputation calculation algorithm based on historical data.
• Algorithm for generating and distributing reputation going forward.
• Blueprint for integrating the algorithm seamlessly with 3rd party projects.
• Implementation of a Karma point system to quantify user reputation.
• Intended Outcomes:
• An accurate and efficient reputation calculation mechanism.
• A blueprint for easy integration with external projects.
• Reliable Karma point system for tracking and quantifying user reputation.

Milestone 3: Soul Bound NFT and Contract Development

• Deliverables:
• Development of a functional Soul Bound NFT.
• Logic for the minting and distribution of the NFT.
• Algorithm to validate the ownership of the NFT.
• Algorithm to add the reputation score to the NFT (Karma Points and badges).
• Algorithm to retrieve the reputation score from the NFT.
• Initial designs for badges.
• Contract development with logic to update the reputation score and badges.
• Intended Outcomes:
• A fully operational Soul Bound NFT system.
• Established logic for minting, validating, and updating NFTs.
• Initial badge designs for visually recognizing user reputation.

Milestone 4: API Development and Frontend Development

• Deliverables:
• API for storing reputation data in IAGON Storage securely.
• API for a user dashboard, providing a seamless user experience.
• API for third-party projects to integrate with ease.
• Integrations with smart contracts for seamless communication.
• Frontend development with user-friendly interfaces.
• Successful integration of APIs with frontend components.
• Intended Outcomes:
• Robust and secure APIs for reputation data storage.
• User dashboard API for effortless user interaction.
• Frontend components that smoothly integrate with developed APIs.

Milestone 5: Integration and Deployment

• Deliverables:
• Comprehensive testing documentation to ensure product stability.
• Deployment plan for a successful and smooth transition to the production environment.
• Intended Outcomes:
• A thoroughly tested system to guarantee reliability.
• Successful deployment of the entire system in a production environment.

[RESOURCES] Who is in the project team and what are their roles?

1. Navjit, CEO
2. Shrijana, Project Manager
3. Devendra, Project Lead
4. 8 developers (2 Front End, 2 Backend Developers, 1 Contract Developer, 1 DevOps, 2 Testers)

[BUDGET & COSTS] Please provide a cost breakdown of the proposed work and resources.

Total Budget: $148,800 ~ 388635 ADA  

We want to highlight that we pay our developers in fiat and price fluctuation will be taken into account before finalising the ADA amount. Current estimate is based on price on Nov 29th, 2023. 

Milestone 1: Initial project planning and UI/UX Design

Development time estimate: 1 month (1 Senior Backend Developer, 1 Contract Developer, 1 UI/UX Designer)

Budget: $16,000 ~ 41596 ADA

Milestone 2: Reputation Calculation Algorithm

Development time estimate: 3 months (2 Backend Developers, 1 UI/UX Designer)

Budget: $19,200 ~ 49915 ADA

Milestone 3: Soul Bound NFT and Contract Development

Development time estimate: 2 months (1 Contract Developer, 1 UI/UX Designer)

Budget: $10,400 ~ 27037 ADA

Milestone 4: API Development and frontend development

Development time estimate: 5 months (1 Backend Developer and 2 frontend developers)

Budget: $60,000 ~155985 ADA

Milestone 5: Integration and deployment

Development time estimate: 2 month (2 Backend Developer, 1 Frontend Developer, 1 DevOps and 2 Testers)

Budget: $43,200 ~ 112309 ADA

[VALUE FOR MONEY] How does the cost of the project represent value for money for the Cardano ecosystem?

The cost of the project represents value for money for the Cardano ecosystem in several ways:

1. Development of Reputation System: The project aims to develop a reputation system specifically tailored for the Cardano ecosystem. By investing in the development of this system, the Cardano ecosystem can benefit from enhanced community engagement, trust, and collaboration. Statur incentivizes positive behaviour, discourages malicious activities, and fosters a healthy and vibrant ecosystem. This can attract more users and developers to the Cardano platform, increasing its overall value.
2. Improved User Experience: The reputation system will enhance the user experience by providing users with a transparent and reliable mechanism to evaluate the reputation of project owners and participants. This can help users make informed decisions, choose trustworthy projects, and engage in meaningful collaborations. By providing a valuable tool for users, the reputation system contributes to the overall satisfaction and engagement of the Cardano community.
3. Strengthened Governance: The reputation system can be integrated into Cardano's governance mechanisms, allowing reputation scores to influence decision-making processes. This can help ensure that important decisions are made by individuals with a track record of positive contributions and credibility within the ecosystem. By promoting a more transparent and accountable governance structure, the reputation system adds value to the Cardano ecosystem.
4. Increased Trust and Security: A reputation system adds an extra layer of trust and security to the Cardano ecosystem. Users can rely on reputation scores to assess the credibility and reliability of project owners and participants. This reduces the risks associated with fraudulent or malicious activities, fostering a safer environment for users and increasing overall confidence in the platform.

Overall, the cost of the project represents value for money for the Cardano ecosystem by enhancing community engagement, improving user experience, strengthening governance, increasing trust and security, and fostering ecosystem expansion. These benefits contribute to the long-term success and sustainability of Cardano as a leading blockchain platform.

[IMPORTANT NOTE] The Applicant agrees to Fund Rules and also that data in the submission form and other data provided by the project team during the course of the project will be publicly available.

I Accept