Open source "Human Likelihood Score" (HLS) for Cardano wallets, to increase trust amongst Cardano's users.

[GENERAL] Name and surname of main applicant

Max van Rossem

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

Entity (Incorporated)

[GENERAL] Co-proposers and additional applicants

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

Syed Naqvi - https://www.linkedin.com/in/syed-naqvi-85a620a9/

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

Walter van Rossem - https://www.linkedin.com/in/walter-v-b3a84863/

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

10

[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)

User wallets have intrinsic properties that serve as indicators of genuine user activity. By delineating these parameters and quantifying their impact, we can output 'human-likelihood-score' (HLS).

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

Yes

[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.”

Independent Panel appointed by Intersect - Governance

[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

Apache 2.0

The output of this proposal for the Human-Likelihood-Score will be fully open-source.

[METADATA] SDG rating

SDG SELECTION

• SDG Goals

4 - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

9 - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

16 - Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

17 - Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development

- SDG Subgoals

4.7 - By 2030, ensure that all learners acquire the knowledge and skills needed to promote sustainable development, including, among others, through education for sustainable development and sustainable lifestyles, human rights, gender equality, promotion of a culture of peace and non-violence, global citizenship and appreciation of cultural diversity and of culture’s contribution to sustainable development

9.1 - Develop quality, reliable, sustainable and resilient infrastructure, including regional and transborder infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all

9.b - Support domestic technology development, research and innovation in developing countries, including by ensuring a conducive policy environment for, inter alia, industrial diversification and value addition to commodities

- Key Performance Indicator (KPI)

9.b.1 - Proportion of medium and high-tech industry value added in total value added

UHRI SELECTION

The following Universal Human Rights Index(es) were selected:

Incidents of racism and xenophobia in the media are growing. The Government should work with media and Internet service providers to sensitize them about their role in promoting diversity and eradicating stereotypes, which foster fear of minorities and foreigners, and lead to incidents of racism and xenophobia. Media professionals require training and sensitization to promote more positive and inclusive representations of people of African descent, and increase their visibility and contribution to the economy, culture and development of the Netherlands.

Racial profiling and combating racial discrimination, stereotyping and stigmatization

13.While noting the measures the State party has put in place to report and tackle discrimination that has already occurred, the Committee is concerned that stereotypes and discriminatory attitudes remain prevalent in society. It is particularly concerned that:

(a)Measures taken to effectively tackle the root causes of racial discrimination are insufficient and that measures to raise awareness about stereotypes and prevent discrimination are inadequately implemented;

(b)Racial profiling by the police and forensic psychiatrists continues;

(c)Racial profiling by the police has reportedly produced feelings of mistrust among minority groups and discourages them from seeking help when they are victims of crime or rights abuses;

(d)Stop-and-search powers are exercised by the police disproportionately on members of minority groups, who are furthermore subjected to higher fines, incidents of harassment, and reported racially biased police brutality;

(e)Racist bullying at school has been increasing (arts. 2 and 4-7).

Cultural traditions and racial discrimination

17.While the Committee understands that the tradition of Sinterklaas and Zwarte Piet (Black Pete) is enjoyed by many persons in Dutch society, it notes with concern that the character of Black Pete is sometimes portrayed in a manner that reflects negative stereotypes of people of African descent and is experienced by many people of African descent as a vestige of slavery, which is injurious to the dignity and self-esteem of children and adults of African descent. The Committee is concerned about the discriminatory effect of such portrayals, which may convey a conception at odds with the Convention. It is also concerned at reports that citizens seeking to peacefully protest against such portrayals have been denied authorization to conduct such protests at a meaningful time and place and have been subjected to violent attacks and other forms of intimidation, which have not been adequately investigated (arts. 2, 5 and 7).

Planetary pressures-adjusted Human Development Index (PHDI)

Netherlands is ranked 10 (Human Development Index) and when adjusted for the Planetary pressures is ranked 28 a fall of -18.

In 2021 it had a Human Development Index (HDI) value of 0.941 that when adjusted for the Planetary pressures-adjusted HDI (PHDI) had a value of 0.745, a difference of 20.83.

The Planetary Pressures adjustment factor of 0.79 is made up of the SDG9.4 Carbon dioxide emissions per capita (production) 2020 of 8.06 tonnes (indexed value 0.88), and the SDG8.4 and 12.2 Material footprint per capita of 32.26 tonnes (indexed value 0.70).

For more information about the details of the PHDI please reference:

https://hdr.undp.org/planetary-pressures-adjusted-human-development-index#/indicies/PHDI

https://hdr.undp.org/system/files/documents/phdi2020technicalnotespdf.pdf

The specific SDG targets

https://indicators.report/targets/9-4/

https://indicators.report/targets/8-4/

https://indicators.report/targets/12-2/

Source data:

https://hdr.undp.org/sites/default/files/2021-22_HDR/HDR21-22_Statistical_Annex_PHDI_Table.xlsx (table 7)

[SOLUTION] 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.

[IMPACT] 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.

[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?

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.

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

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)

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.

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.

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.

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

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

[RESOURCES] 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/

[BUDGET & COSTS] 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)

[VALUE FOR MONEY] 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.