Please describe your proposed solution

The final output is a simple score that categorizes a wallet on its human likelihood.

1. Develop a scoring hypothesis for the "Human-Likelihood-score" (HLS), and collect input and output variables. Gather advice from explorers, wallet developers, dApps projects.
2. Develop the minimum approach to develop an alpha-HLS version.
3. Create the data scraping environment, and build test train data sets.
4. Test early outputs with stakeholders, and gather feedback.
5. Iterate 1-4.
6. Clear Documentation of the produced software, and method of integration for wider consideration by the community.
7. Present results & open source.

Please define the positive impact your project will have on the wider Cardano community

The impact of a Human-Likelihood-Score is a catalyst for good behavior by wallet owners. In every on-chain interaction that is P2P such a score would be of high value. For governance actions, community forums, and other forms of web3 social media a score such as the HLS would serve as a quick sanity check.

Cardano needs trusted, anonymous interactions during Voltaire

As Cardano enters the Voltaire age, the HLS aims to inspire the community in the arena of long-term thinking, legacy, and honorable conduct by using the immutable track records of wallets. We will showcase that on-chain interactions live on in immutable memory and impact the perceptions of our wallets. In this way, we catalyze a culture of truth, transparency, and honorable conduct in Cardano's governance.

Adoption of Cardano through cultural demand for trusted, human interaction

In the coming years, the significance and importance of true/verifiable decentralization will awaken in the public. Data held by big tech will become a hot topic as AI models trained to look/sound like our family and friends become more prevalent. The importance of what happens with our data, and how it can impact the next generations will bring about a demand for trusted online interactions between humans.

The HLS used by AdaTimeStamp to empower users with a trusted digital legacy

Cardano stands for open knowledge. This includes an understanding of the actors behind the actions. On AdaTimeStamp this means understanding who is creating a piece of content and what this does to enrich the context of its position in the visual library.

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?

We already have a fully functioning (Beta) socialFi product at AdaTimeStamp.io.

Our team consists of a Data scientist, economist, Astrophysicist (advanced modeling), and mechanical Engineer.

Feasibility is driven by the fact that we already run the necessary infrastructure to perform the required analysis. In addition, we want to use the HLS on AdaTimeStamp.io. We will be receiving direct user feedback about the score and demands from users.

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

Milestone 1: Output: a 5-page summary of the data-gathering phase.

Acceptance: an independent panel accepting milestone 1.

Evidence: Youtube video on social media with approval of the independent panel.

Estimated Time Required ~ 1 months

Estimated budget Required ~ 10K ADA

Developing the HLS will require an independent panel. No more than 5 members are requested at the early stage to keep the process light. The goal is a Minimum Viable HL-Score.

Data gathering PRE-hypothesis

Basic literature review of research papers delved into the topic, including but not limited to:

• "Bot Detection in Blockchain-Based Applications: Challenges and Solutions" by Siddharth Baskaran, A. N. Santhi, and others.
• "Detecting Sybil Attack in Decentralized P2P Botnets" by Nasim Mollah, M. Shamim Hossain, and others.
• "Detecting Bots in Online Games: A Survey" by Zahra Pooranian, Hojatollah Doustdar, and others.
• "BotGraph: Large Scale Spam Detection in Twitter Networks" by Atish Patra
• "A Survey on Bot Detection Techniques for Online Social Networks" by S. S. Sundaram and V. Saravanan.

Past projects on Cardano / other blockchains

• Find projects that did/built similar infrastructure. Gather knowledge/prototypes.

Data gathering and scoping the realm of the possible variables to include:

• Checking the world of variables available
• Output: 100 variables (Wallet creation date, stake date, total Tx, etc…)
• Acceptance: sufficient data
• Evidence: server-side data.
• Finding proven bot cases on Cardano
• Interviews with domain experts (wallet, dApps, IOG, researchers)

Milestone 2: Output: Data infrastructure setup & first Hypothesis definition for an effective HLS.

Acceptance: an independent panel accepting milestone 2.

Evidence: YouTube video on social media with the approval of the independent panel.

Estimated Time Required ~ 1 months

Estimated budget Required ~ 25K ADA

1. Develop a scoring hypothesis for the "Human-Likelihood-Score" (HLS), and collect input and output variables. Gather advice from explorers, wallet developers, dApps projects.
2. Develop the minimum approach to develop an alpha-HLS version.
3. Develop the data scraping environment, and build test train data sets.
4. Test early outputs with stakeholders and the independent panel.
5. Process feedback and iterate 1-4.

Milestone 3: Exploring additional independent fast data sources (Koios / blockfrost / CLI…).

Estimated Time Required ~ 2 months

Estimated budget Required ~ 40K ADA

Output: Second Hypothesis definition for an effective HLS.

Acceptance: an independent panel accepting milestone 3.

Evidence: YouTube video on social media with the approval of the independent panel.

Milestone 4: HLS API + testing on User-facing locations. (AdaTimeStamp.io, Wallet providers etc.)

Estimated Time Required ~ 3 months

Estimated budget Required ~ 70K ADA

Output: Third Hypothesis definition for an effective HLS.

Acceptance: an independent panel accepting milestone 4.

Evidence: YouTube video on social media with the approval of the independent panel.

Milestone 5: Output: Finalize Documentation of the produced software and method of integration for wider use and consideration by the community.

Acceptance: An independent panel accepting milestone 5.

Evidence: YouTube video on social media with the approval of the independent panel.

Estimated Time Required ~ 1 months

Estimated budget Required ~ 20K ADA

Final Milestone: Open source in Apache 2.0

Bug fixing for independent use and integration of the HLS.

Estimated Time Required ~ 1 months

Estimated budget Required ~ 10K ADA

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

https://www.amsterdamnode.com/

Max van Rossem - co-SPO, co-founder - strategy, operations, and partnerships

https://www.linkedin.com/in/max-van-rossem-33b83563/

Syed Naqvi - co-SPO, co-founder - development, architecture

<https://www.linkedin.com/in/syed-naqvi-85a620a9/>

David Ljc - co-founder - development, strategy, architecture

<https://www.linkedin.com/in/david-lc-426a029a/>

Walter van Rossem - co-founder - development, architecture

<https://www.linkedin.com/in/walter-v-b3a84863/>

Please provide a cost breakdown of the proposed work and resources

175K ADA - The below are estimates given our historic expenditures

• 20K Research
• 120K Backend development and running models
• 20K Front-end development/integrations for end users
• 10K Professional consulting / certification / audit
• 5K Other (Legal, testing, tooling)

Independent Panel appointed by Intersect - Governance

How does the cost of the project represent value for money for the Cardano ecosystem?

Providing value to Cardano means providing value to the network. The HLS would do this in a few ways:

1. Enhanced security: Effective bot detection and deterrent results in a more valuable network of trust.
2. Attack prevention: The open source score can be used by communities, dapps and projects to help prevent bot wallets from disrupting operations and governance processes.
3. Improve UX: More trust, less spam (such as on AdaTimeStamp.io)
4. Support Devs: Help devs bootstrap trust (and thus adoption) into their apps with an HLS.
5. Compliance: show regulators that significant efforts are being made on the Cardano blockchain to protect users from bad actors.