Daniel Ospina
Project OwnerCoordination, facilitation, and governance expertise
Milestone Release 1 |
$6,000 USD | Transfer Complete | 22 Aug 2024 |
Milestone Release 2 |
$7,000 USD | Transfer Complete | 26 Sep 2024 |
Milestone Release 3 |
$6,000 USD | Transfer Complete | 31 Oct 2024 |
Milestone 1 (research) completed and advancing on milestone 2
No Service Available
We plan to build on top of the existing research and work we’ve done:
- Mapping Reputation Types https://docsend.com/view/chiq9nt84qvpv8g4
- building data ingestion pipelines for Discord, Discourse, Github, Telegram, etc
- building a Knowledge Graph of interactions between participants
- creating an RFP for a knowledge graph that builds on top of the above
The next step is to disseminate all of this research and facilitate a series of workshops with SingulairtyNET ecosystem actors and co-design how we can better apply reputation in governance using what already exists and building on top. Thus ensuring scalability, transparency, and fairness in community-driven decision-making processes.
We'll leverage our existing research on the topic and mapping of pre-existing solutions to define an RFP that uses SingulairtyResources strategically and provides a cutting-edge approach to reputation and decentralised governance.
The resulting RFPS will be cost-efficient, well informed, and strategically targetted as part of the broader ecosystem of solutions being built, thus ensuring relevance and scalable, fair, transparent and effective decision making in SingulairtyNET.
Deep expertise in governance and decision-making (mentioned above) as well as data science, including System Science (speciality in complex multi-layered systems and graph theory), Computational Neurology (using AI to learn from the brain and applying brain-functioning insights to improve AI), Social Sciences (PhD in social network analysis and team performance).
Additionally, we've done similar work with ecosystems such as Arbitrum, Optimism, Pocket, Celo, Near, and of course SIngularityNET.
RnDAO + TogetherCrew
The current reputation system only accounts for data from the voting portal, additionally, it fails to account for the nuances of reputation (engagement =/= reputation), and also misses an understanding of the complete lifecycle of governance (sense-making, deliberation, proposal drafting, evaluation, etc.)
We plan to improve upon the current MVP design by designing an RFP that takes into account the work that is already underway in the broader ecosystem in this area, ensuring resources are not wasted and we don’t reinvent the wheel, while also learning from the collective research.
We'll start by conducting 2 community workshops to map the Governance Process:
Map the different stages of community-led decision-making
Map the key processes at each governance stage and recommended approaches (community process) for each, understanding the diversity of stakeholders involved
Map how the different types of reputation overlap with said stages and how they can be strategically applied
We’ll then conduct another workshop and 3 work sessions to map the requirements for an improved reputation algorithm(s) for the SingulairtyNET ecosystem, based on the above.
Finally, we’ll complete the above with a workshop and work sessions to define a complimentary, modular RFP for a Blockchain data pipeline to be added to the system.
Critically, throughout this process, we’ll ensure we’re not reinventing the wheel and don’t recommend funding again what has already been built in the SNET ecosystem (e.g. data ingestion pipelines from social media and interactions knowledge graph built by TogetherCrew).
As deliverables:
Improved reputation algorithm(s) RFP: calculate engagement and voting scores. Designed for easy adjustment, allowing them to adapt to evolving community needs.
Complimentary RFP for Blockchain data pipeline and ontology and other needed infrastructure to operate the system in SingulairtyNET.
We plan to build on top of the existing research and work we’ve done:
- Mapping Reputation Types https://docsend.com/view/chiq9nt84qvpv8g4
- building data ingestion pipelines for Discord, Discourse, Github, Telegram, etc
- building a Knowledge Graph of interactions between participants
- creating an RFP for a knowledge graph
We’ll now facilitate 5 workshops with SingulairtyNET ecosystem actors and experts, and design a next-generation reputation and voting system, thus ensuring scalability, transparency, and fairness in community-driven decision-making processes. It's essential for us to use an open and participatory approach, where we can combine our learnings with those from the community, and thus ensure the best outcomes are reached, resources are not wasted reinventing what's already been built, and the SingularityNET communities continues to growth healthily.
We’ve advanced a comprehensive mapping of the deliberation space and also initiated a mapping of the reputation and decentralised identity spaces. This previous work ensures we don’t reinvent the wheel and instead can design the RFP strategically for the success of SingulairtyNET and with a collaborative mindset at the core (modularity and composability).
Additionally, we’re leading practitioners in decentralised governance (previous roles as Supervisory Council for SingulariyyNET, Head of Governance at Aragon, decision-making research at Google, etc.)
And have already built multiple of the components needed for the system to function (data pipelines for social media platforms, behavioural analysis algorithms, interactions knowledge graph, etc.)
Related work we're doing and have concluded on the topic:
https://new.questbook.app/dashboard/?chainId=10&role=builder&grantId=0x4494cf7375aa61c9a483259737c14b3dba6c04e6&proposalId=0x62b
https://rndao.mirror.xyz/TxGTNemp_c4uNeWGiubJbC3akaNfJIJYcbgQZrHLK10
https://www.rndao.io/blog/post/before-the-proposal
https://docs.google.com/presentation/d/1yCoFVVrCaetlcZWgeFGYTIYqUEVXs8_Ghw816KuJ7Ho/edit?usp=sharing
Overall
New reviews and ratings are disabled for Awarded Projects
Overall
With the entire ecosystem, I think this issue needs to be paid even more attention. It seems that Daniel understands this. That's why I still want to emphasize to Daniel the need to select a team that is truly skilled and professional enough to be able to take on the responsibility. I hope Daniel thinks the same as me. I approve of the usefulness and wish Daniel showed more in Viability.
Overall
I'm looking forward to this development. Reputation systems are delicate creatures that soon turn problematic. I believe that such systems should be as flat and multidimensional as possible - and then even more :-) Let's please not end up with social scoring...
Overall
This project stands out for several reasons. The team leverages their extensive experience in governance and decision-making, as well as their expertise in data science, including System Science, Computational Neurology, and Social Sciences. Their past work with ecosystems such as Arbitrum, Optimism, Pocket, Celo, Near, and SingularityNET further strengthens their credibility. Additionally, the project utilizes existing research and mapping of pre-existing solutions, ensuring cost-efficiency and strategic targeting within the broader ecosystem. The team's collaborative approach, involving workshops with SingularityNET ecosystem actors and experts, promotes transparency and fairness in the decision-making process. Finally, the project's focus on modularity and composability, along with the avoidance of redundant work, highlights its commitment to efficiency and innovation.
Overall
The development of data ingestion pipelines and the knowledge graph of participant interactions demonstrate a clear pathway towards creating a sophisticated reputation system. The viability of the project is further supported by the increasing demand for decentralized and transparent governance mechanisms in AI and blockchain ecosystems. Marketability is strong as well, given the widespread interest in enhancing governance frameworks within decentralized communities. This project addresses a critical need for fair and transparent decision-making, which is essential for maintaining trust and engagement within the SingularityNET ecosystem.
Focal Area
The proposal could further benefit from considering potential integration challenges with existing platforms and addressing the need for robust security measures to protect data integrity. Additionally, exploring the potential for cross-ecosystem collaborations and compatibility with other decentralized platforms could enhance the system's utility and adoption. Engaging in user testing and pilot programs before full-scale implementation could provide valuable insights and help refine the system for optimal performance.
Unique Offering
While the project's goals are commendable, the concept of a reputation system for governance is not entirely unique. Several decentralized platforms, such as Ethereum's DAOs and various blockchain-based governance systems, have already implemented similar mechanisms. What sets this project apart, however, is its focus on leveraging a comprehensive knowledge graph and data ingestion pipelines, which could provide a more nuanced and data-driven approach to reputation management. This differentiation could be pivotal if executed effectively.
Viability
The viability of the project hinges on successful integration and user adoption. While the technical foundation appears robust, real-world application can present unforeseen challenges. The project must ensure it addresses usability and accessibility to gain widespread acceptance.
Overall
I would like Daniel and the team to highlight the biggest challenge the team faced in implementing this proposal into practice, was it technical complexity or something else? Only by understanding the challenge will we be able to think of solutions to overcome it and thereby enhance this proposal.
Overall
This matter is of greater importance for the ecosystem as a whole. The @togethercrew team has repeatedly generate solutions and benefits for the community and the ecosystem with their contributions. I agree with what HenriqC said, the complexity of the case is enormous but we should not avoid the problem and having such a capable and creative team addressing this complexity is encouraging. YES!
Overall
Usefulness
A lot of progress in these questions is necessarily needed going forward. In this topic, openness and inclusivity are high priorities. An RFP with objective criteria provides good foundations for meaningful conversations. These challenges concern every network and subnetworks throughout the ecosystems. It is in many ways an uncharted area and inviting everyone to contribute harnesses crowd intelligence with potentially great marginal benefits. The proposal’s arguments for coordination and avoiding duplicate work are also true.
Desirabilty
It is a difficult topic and requires more rigor than is usually seen. When the agents participating in decision-making keep diversifying and complexifying, the structured systematic science backed approach rises in value. Comprehensive reputation as a decision-making resource is so complex and multidimensional that processing the argument behind the decision-making distribution even for a single decision may feel like playing 7-dimensional chess. For that reason, one has to trust the underlying system or stack which becomes possible only through transparency, consistency and soundness etc. That’s why it is a good idea to start by asking what is needed, what is already available and what can be built with what conditions.
Feasibility
Even though the proposal lists some very tangible and detailed goals, the RFP is not the hardest part. Greater challenges will come after that. The topic itself is difficult but the proposed approach is a chewable piece of it. There is already a lot of work done and I don’t believe there will be any trouble delivering what is described in the proposal.
Viability
The organization has a good track record of planning and executing corresponding projects. The experience comes from a relatively long history and many different communities. Past work is openly available from the links in the proposal. I put even more value on their appreciation of the importance of the topic and I have no doubts about their ability to complete this project.
Overall
This proposal shows a comprehensive and innovative approach to managing reputation and governance in the SNET ecosystem with the target of further developing previous research on reputation type mapping, data ingestion paths from various platforms (Discord, Discourse, Github, Telegram, etc.) and knowledge graphs interaction between participants, but there is a risk of inefficiencies that perhaps some of the planned work will overlap with existing projects in the SingularityNET ecosystem.
Plans to host workshops and working sessions with SNET ecosystem actors will help ensure that the resulting solutions meet the needs and expectations of the community. The modular and collaborative design of the RFP allows for adaptation and adjustment to evolving community needs, but reliance on workshops and work sessions can impact project outcomes if community engagement is low or participation is uneven. holding many workshops and working sessions also requires a lot of time and resources, if not managed well, this can hinder project progress.
Overall this proposal shows potential in improving decentralized reputation and governance systems in the SNET ecosystem. with the right strategy for existing risks will make this proposal an important step towards better and sustainable governance at SingularityNET.
Overall
Using the development of the SingulairtyNET ecosystem to build government confidence will provide a clearer and better picture of people's future planning.
The use of government transparency may be the wish of the public, but some government systems must adjust their policies to existing systems.
Overall
Reputation is an extremely important factor. I found this suggestion very good and useful. Hopefully in the next rounds, we will have a clear and transparent reputation calculation system. I fully support this project.
Overall
The proposal seeks to strengthen the reputation system and data pipeline of SingularityNET in order to greatly improve its governance. It ensures a strategic and economical approach by building on the infrastructure and research already in place. Although the plan is thorough and organised, it might use more precise success measures and more defined risk management techniques.
The idea makes use of already-existing infrastructure and research, which makes the project technically possible. The team's extensive experience in data science, governance, and artificial intelligence lends credence to the project's viability. But further information about probable technological difficulties and solutions would strengthen this project's proposal even more.
The initiative is more viable because of the team's vast experience in data science, governance, and decision-making, as well as their prior work in related ecosystems. The plan is clearly laid out in the proposal, complete with deliverables and milestones. Including more thorough timetables and concrete instances of prior accomplishments would boost trust in the project's feasibility.
The project's enhancement of the governance procedures and reputation system meets a crucial demand within SingularityNET. This improvement is very desirable since it encourages decision-making that is transparent, scalable, and equitable. A more thorough user adoption plan and market study would, nevertheless, support this ranking.
The plan calls for improving SingularityNET's governance structure, which is essential to the platform's expansion. Better decision-making and community engagement can be greatly aided by the enhanced reputation system and data pipeline. It would be nice if the proposer could provide us with more precise metrics on the predicted impact and usage.
Overall
Building upon the already existing structure is great and I would say I look forward to the new changes this poses to add to the already existing reputation system.
Daniel and his team have ample experience to carry out this project thus my rating of 5/5 for feasibility. However is there a way to see the budget breakdown? That would be great
Viability is equally high and deliverables are measurable, achievable, and show potential for success.
Desirability IMO is high cos I look forward to these improvements mentioned in the proposal. However, for the ecosystem, I think it's a great tool that would help boost our voting system, show fairness and more transparency which would in turn give people ease and foster trust, and also get more people to join in if it's executed properly and all these improvements are made.
thank you for the warm review! We'll be sure to honour that trust :)
Overall
This proposal offers a well-structured and promising approach to strengthening SingularityNET's reputation systems. With careful execution and some additional refinements, the project has the potential to significantly impact both the SingularityNET ecosystem and the broader landscape of decentralized governance.
Strengths of the Proposal:
Benefits:
By carefully considering any suggested refinements and fostering strong community involvement, this proposal has the potential to be a game-changer for SingularityNET's reputation systems and decentralized governance as a whole.
Overall
Feasibility
The project's feasibility is undeniable. It builds on an existing and working solution. Projects don't get more feasible than that.
Viability
Great viability, enough behavioural data from existing solutions to help the project fruit successfully
Desirability
The RFP design itself is a foundation on which quality projects can be identified and funded. I rate this project high on desirability.
Usefulness
As more proposals enter the RFPs and more people into the SNeT ecosystem, it will become necessary to improve the system and the process that sorts and regulates them. Governance and decision-making are key to everything else.
Review-in-Summary
An organization is only as good as its decisions, and decisions and governance are only as good as the process by which they are made. I rate this project to be fairly good.
Thanks for the (honest, not gpt generated) review!
We simply calculated the budget based on $100/h cost for facilitation and 20% for participants' rewards when needed or additional work (given unknowns about community engagement with the process before we begin).
Ultimately it's a bit of a tight budget but having done similar exercises multiple times before, we're confident we can make it work and preferred to have flexibility to adapt the approach as needed rather than fixing too much in advance:)
Overall
This proposal outlines a series of workshops to design a next-generation reputation and voting system for SingularityNET. Here's a breakdown of its strengths and weaknesses:
Feasibility:
Viability:
Desirability:
Usefulness:
Overall, the proposal has a valuable goal, but focus on:
Strengths:
Weaknesses:
By addressing these considerations, the Reputation & Governance project can be strengthened and increase its chances of creating a more robust and community-driven governance system for SingularityNET.
Overall
this proposal presents a well-structured and promising approach to enhancing SingularityNET's reputation systems. With careful execution and additional refinements, the project has the potential to make a significant contribution to the SingularityNET ecosystem and the broader decentralized governance landscape.
1. Feasibility:
2. Viability:
3. Desirability:
4. Utility:
Overall
hi Daniel, I liked your linkedin profile.
Thank you for sharing your detailed project proposal aimed at enhancing the reputation and governance system within the SingularityNET ecosystem. I've carefully reviewed your plan and am impressed by your comprehensive approach and existing expertise in the field. Below is my evaluation based on the criteria of feasibility, viability, desirability, and usefulness:
Feasibility
Your project demonstrates a high degree of feasibility. Your team's extensive experience in decentralized governance, data science, and social network analysis provides a solid foundation for executing this project. The fact that you have already built some of the necessary components, such as data pipelines and interaction knowledge graphs, further strengthens the project's feasibility.
Viability
The viability of your project is excellent. Addressing the limitations of the current reputation system is crucial for the long-term health and sustainability of the SingularityNET ecosystem. By involving the community in the design process and leveraging existing research and solutions, you are ensuring that the proposed system will be relevant, scalable, and adaptable to the evolving needs of the community.
Desirability (⭐️⭐️⭐️⭐️⭐️):
The desirability of your project is very high. A fair, transparent, and effective governance system is essential for building trust and engagement within the SingularityNET community. Your focus on incorporating diverse perspectives and addressing the nuances of reputation aligns well with the values of decentralization and community empowerment.
Usefulness
The usefulness of your project is evident. By developing a more comprehensive and nuanced reputation system, you will improve the quality of decision-making within the SingularityNET ecosystem. This will lead to better allocation of resources, increased participation, and a more vibrant and sustainable community.
In summary, your project is highly feasible, viable, desirable, and useful. It has the potential to significantly improve the governance and reputation system within the SingularityNET ecosystem, fostering a more engaged and empowered community.
I am the designer of Transcendence Platform. We made a proposal for AI-enabled holograms, aiming to create a holographic virtual assistant for various applications, such as customer care, emotional support, advertising, and entertainment. By combining advanced AI with holographic technology, we enable natural and empathetic interactions that enhance the user experience. I invite you to watch it and give me your opinion. Thank you very much. Check it out here: https://deepfunding.ai/proposal/revolutionizing-assistance-3d-holographic-ai/
Overall
The proposal for enhancing reputation and governance in the SingularityNET ecosystem presents a comprehensive approach to improving decision-making processes through strategic workshops, RFP creation, and leveraging existing research and infrastructure. The proposal effectively outlines the core problem, specific solution, project details, team expertise, and milestones. However, additional clarity on scalability measures and potential challenges would further strengthen the proposal.
The project appears feasible, with a structured approach outlined across three milestones. The team's diverse expertise in governance, decision-making, data science, and ecosystem involvement strengthens the project's feasibility. However, further details on scalability measures, potential challenges, and mitigation strategies would enhance confidence in project execution.
The project's capacity to solve important issues with reputation and governance, like missing information and a lack of sophisticated knowledge, lends credence to its feasibility. The project becomes more relevant and scalable when it makes use of already-existing research, infrastructure, and ecosystem involvement. Ongoing endeavors to guarantee user uptake, regulatory adherence, and scalability, nevertheless, are essential for sustained success.
The initiative is quite appealing since it focuses on enhancing governance and reputation inside the SingularityNET ecosystem. The initiative provides community players with significant value and improves decision-making processes by means of workshop facilitation, RFP creation, and utilization of pre-existing research and infrastructure. The project's desirability is further enhanced by the collaborative approach and involvement of stakeholders.
By tackling prevalent issues in reputation and governance, such as missing data and a lack of sophisticated knowledge, the initiative is extremely beneficial. The project intends to improve decision-making processes and guarantee scalability, transparency, and fairness by utilizing current research, infrastructure, and ecosystem involvement. In order to maximize utility over time, adoption must be maximized and any obstacles must be addressed.
Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.
Overall (Primary)
This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).
Feasibility (secondary)
This represents the user's assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.
Viability (secondary)
This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:
Desirability (secondary)
Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?
Example:
Usefulness (secondary)
This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”
For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:
Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.
Overall (Primary)
This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).
Feasibility (secondary)
This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.
Viability (secondary)
This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:
Desirability (secondary)
Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?
Example:
Usefulness (secondary)
This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”
For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:
Map the different stages of community-led decision-making Map the key processes at each governance stage and recommended approaches (community process) for each understanding the diversity of stakeholders involved Map how the different types of reputation overlap with said stages and how they can be strategically applied
Governance Process & Reputation intersection mapping
$6,000 USD
Creation of a detailed strategically positioned and well-informed RFP for an improved reputation Algorithm that leads to effective fair transparent and participatory decision-making.
workshop and 3 work sessions to map the requirements for an improved reputation algorithm(s) for the SingulairtyNET ecosystem
$7,000 USD
Map the necessary infrastructure and roadmap to deliver the system into production in DeepFunding and distill the learnings into an RFP.
Community workshop and work session to output Blockchain data pipeline and additional infra RFP
$6,000 USD
Reviews & Ratings
Overall
New reviews and ratings are disabled for Awarded Projects
Overall
With the entire ecosystem, I think this issue needs to be paid even more attention. It seems that Daniel understands this. That's why I still want to emphasize to Daniel the need to select a team that is truly skilled and professional enough to be able to take on the responsibility. I hope Daniel thinks the same as me. I approve of the usefulness and wish Daniel showed more in Viability.
Overall
I'm looking forward to this development. Reputation systems are delicate creatures that soon turn problematic. I believe that such systems should be as flat and multidimensional as possible - and then even more :-) Let's please not end up with social scoring...
Overall
This project stands out for several reasons. The team leverages their extensive experience in governance and decision-making, as well as their expertise in data science, including System Science, Computational Neurology, and Social Sciences. Their past work with ecosystems such as Arbitrum, Optimism, Pocket, Celo, Near, and SingularityNET further strengthens their credibility. Additionally, the project utilizes existing research and mapping of pre-existing solutions, ensuring cost-efficiency and strategic targeting within the broader ecosystem. The team's collaborative approach, involving workshops with SingularityNET ecosystem actors and experts, promotes transparency and fairness in the decision-making process. Finally, the project's focus on modularity and composability, along with the avoidance of redundant work, highlights its commitment to efficiency and innovation.
Overall
The development of data ingestion pipelines and the knowledge graph of participant interactions demonstrate a clear pathway towards creating a sophisticated reputation system. The viability of the project is further supported by the increasing demand for decentralized and transparent governance mechanisms in AI and blockchain ecosystems. Marketability is strong as well, given the widespread interest in enhancing governance frameworks within decentralized communities. This project addresses a critical need for fair and transparent decision-making, which is essential for maintaining trust and engagement within the SingularityNET ecosystem.
Focal Area
The proposal could further benefit from considering potential integration challenges with existing platforms and addressing the need for robust security measures to protect data integrity. Additionally, exploring the potential for cross-ecosystem collaborations and compatibility with other decentralized platforms could enhance the system's utility and adoption. Engaging in user testing and pilot programs before full-scale implementation could provide valuable insights and help refine the system for optimal performance.
Unique Offering
While the project's goals are commendable, the concept of a reputation system for governance is not entirely unique. Several decentralized platforms, such as Ethereum's DAOs and various blockchain-based governance systems, have already implemented similar mechanisms. What sets this project apart, however, is its focus on leveraging a comprehensive knowledge graph and data ingestion pipelines, which could provide a more nuanced and data-driven approach to reputation management. This differentiation could be pivotal if executed effectively.
Viability
The viability of the project hinges on successful integration and user adoption. While the technical foundation appears robust, real-world application can present unforeseen challenges. The project must ensure it addresses usability and accessibility to gain widespread acceptance.
Overall
I would like Daniel and the team to highlight the biggest challenge the team faced in implementing this proposal into practice, was it technical complexity or something else? Only by understanding the challenge will we be able to think of solutions to overcome it and thereby enhance this proposal.
Overall
This matter is of greater importance for the ecosystem as a whole. The @togethercrew team has repeatedly generate solutions and benefits for the community and the ecosystem with their contributions. I agree with what HenriqC said, the complexity of the case is enormous but we should not avoid the problem and having such a capable and creative team addressing this complexity is encouraging. YES!
Overall
Usefulness
A lot of progress in these questions is necessarily needed going forward. In this topic, openness and inclusivity are high priorities. An RFP with objective criteria provides good foundations for meaningful conversations. These challenges concern every network and subnetworks throughout the ecosystems. It is in many ways an uncharted area and inviting everyone to contribute harnesses crowd intelligence with potentially great marginal benefits. The proposal’s arguments for coordination and avoiding duplicate work are also true.
Desirabilty
It is a difficult topic and requires more rigor than is usually seen. When the agents participating in decision-making keep diversifying and complexifying, the structured systematic science backed approach rises in value. Comprehensive reputation as a decision-making resource is so complex and multidimensional that processing the argument behind the decision-making distribution even for a single decision may feel like playing 7-dimensional chess. For that reason, one has to trust the underlying system or stack which becomes possible only through transparency, consistency and soundness etc. That’s why it is a good idea to start by asking what is needed, what is already available and what can be built with what conditions.
Feasibility
Even though the proposal lists some very tangible and detailed goals, the RFP is not the hardest part. Greater challenges will come after that. The topic itself is difficult but the proposed approach is a chewable piece of it. There is already a lot of work done and I don’t believe there will be any trouble delivering what is described in the proposal.
Viability
The organization has a good track record of planning and executing corresponding projects. The experience comes from a relatively long history and many different communities. Past work is openly available from the links in the proposal. I put even more value on their appreciation of the importance of the topic and I have no doubts about their ability to complete this project.
Overall
This proposal shows a comprehensive and innovative approach to managing reputation and governance in the SNET ecosystem with the target of further developing previous research on reputation type mapping, data ingestion paths from various platforms (Discord, Discourse, Github, Telegram, etc.) and knowledge graphs interaction between participants, but there is a risk of inefficiencies that perhaps some of the planned work will overlap with existing projects in the SingularityNET ecosystem.
Plans to host workshops and working sessions with SNET ecosystem actors will help ensure that the resulting solutions meet the needs and expectations of the community. The modular and collaborative design of the RFP allows for adaptation and adjustment to evolving community needs, but reliance on workshops and work sessions can impact project outcomes if community engagement is low or participation is uneven. holding many workshops and working sessions also requires a lot of time and resources, if not managed well, this can hinder project progress.
Overall this proposal shows potential in improving decentralized reputation and governance systems in the SNET ecosystem. with the right strategy for existing risks will make this proposal an important step towards better and sustainable governance at SingularityNET.
Overall
Using the development of the SingulairtyNET ecosystem to build government confidence will provide a clearer and better picture of people's future planning.
The use of government transparency may be the wish of the public, but some government systems must adjust their policies to existing systems.
Overall
Reputation is an extremely important factor. I found this suggestion very good and useful. Hopefully in the next rounds, we will have a clear and transparent reputation calculation system. I fully support this project.
Overall
The proposal seeks to strengthen the reputation system and data pipeline of SingularityNET in order to greatly improve its governance. It ensures a strategic and economical approach by building on the infrastructure and research already in place. Although the plan is thorough and organised, it might use more precise success measures and more defined risk management techniques.
The idea makes use of already-existing infrastructure and research, which makes the project technically possible. The team's extensive experience in data science, governance, and artificial intelligence lends credence to the project's viability. But further information about probable technological difficulties and solutions would strengthen this project's proposal even more.
The initiative is more viable because of the team's vast experience in data science, governance, and decision-making, as well as their prior work in related ecosystems. The plan is clearly laid out in the proposal, complete with deliverables and milestones. Including more thorough timetables and concrete instances of prior accomplishments would boost trust in the project's feasibility.
The project's enhancement of the governance procedures and reputation system meets a crucial demand within SingularityNET. This improvement is very desirable since it encourages decision-making that is transparent, scalable, and equitable. A more thorough user adoption plan and market study would, nevertheless, support this ranking.
The plan calls for improving SingularityNET's governance structure, which is essential to the platform's expansion. Better decision-making and community engagement can be greatly aided by the enhanced reputation system and data pipeline. It would be nice if the proposer could provide us with more precise metrics on the predicted impact and usage.
Overall
Building upon the already existing structure is great and I would say I look forward to the new changes this poses to add to the already existing reputation system.
Daniel and his team have ample experience to carry out this project thus my rating of 5/5 for feasibility. However is there a way to see the budget breakdown? That would be great
Viability is equally high and deliverables are measurable, achievable, and show potential for success.
Desirability IMO is high cos I look forward to these improvements mentioned in the proposal. However, for the ecosystem, I think it's a great tool that would help boost our voting system, show fairness and more transparency which would in turn give people ease and foster trust, and also get more people to join in if it's executed properly and all these improvements are made.
thank you for the warm review! We'll be sure to honour that trust :)
Overall
This proposal offers a well-structured and promising approach to strengthening SingularityNET's reputation systems. With careful execution and some additional refinements, the project has the potential to significantly impact both the SingularityNET ecosystem and the broader landscape of decentralized governance.
Strengths of the Proposal:
Benefits:
By carefully considering any suggested refinements and fostering strong community involvement, this proposal has the potential to be a game-changer for SingularityNET's reputation systems and decentralized governance as a whole.
Overall
Feasibility
The project's feasibility is undeniable. It builds on an existing and working solution. Projects don't get more feasible than that.
Viability
Great viability, enough behavioural data from existing solutions to help the project fruit successfully
Desirability
The RFP design itself is a foundation on which quality projects can be identified and funded. I rate this project high on desirability.
Usefulness
As more proposals enter the RFPs and more people into the SNeT ecosystem, it will become necessary to improve the system and the process that sorts and regulates them. Governance and decision-making are key to everything else.
Review-in-Summary
An organization is only as good as its decisions, and decisions and governance are only as good as the process by which they are made. I rate this project to be fairly good.
Thanks for the (honest, not gpt generated) review!
We simply calculated the budget based on $100/h cost for facilitation and 20% for participants' rewards when needed or additional work (given unknowns about community engagement with the process before we begin).
Ultimately it's a bit of a tight budget but having done similar exercises multiple times before, we're confident we can make it work and preferred to have flexibility to adapt the approach as needed rather than fixing too much in advance:)
Overall
This proposal outlines a series of workshops to design a next-generation reputation and voting system for SingularityNET. Here's a breakdown of its strengths and weaknesses:
Feasibility:
Viability:
Desirability:
Usefulness:
Overall, the proposal has a valuable goal, but focus on:
Strengths:
Weaknesses:
By addressing these considerations, the Reputation & Governance project can be strengthened and increase its chances of creating a more robust and community-driven governance system for SingularityNET.
Overall
this proposal presents a well-structured and promising approach to enhancing SingularityNET's reputation systems. With careful execution and additional refinements, the project has the potential to make a significant contribution to the SingularityNET ecosystem and the broader decentralized governance landscape.
1. Feasibility:
2. Viability:
3. Desirability:
4. Utility:
Overall
hi Daniel, I liked your linkedin profile.
Thank you for sharing your detailed project proposal aimed at enhancing the reputation and governance system within the SingularityNET ecosystem. I've carefully reviewed your plan and am impressed by your comprehensive approach and existing expertise in the field. Below is my evaluation based on the criteria of feasibility, viability, desirability, and usefulness:
Feasibility
Your project demonstrates a high degree of feasibility. Your team's extensive experience in decentralized governance, data science, and social network analysis provides a solid foundation for executing this project. The fact that you have already built some of the necessary components, such as data pipelines and interaction knowledge graphs, further strengthens the project's feasibility.
Viability
The viability of your project is excellent. Addressing the limitations of the current reputation system is crucial for the long-term health and sustainability of the SingularityNET ecosystem. By involving the community in the design process and leveraging existing research and solutions, you are ensuring that the proposed system will be relevant, scalable, and adaptable to the evolving needs of the community.
Desirability (⭐️⭐️⭐️⭐️⭐️):
The desirability of your project is very high. A fair, transparent, and effective governance system is essential for building trust and engagement within the SingularityNET community. Your focus on incorporating diverse perspectives and addressing the nuances of reputation aligns well with the values of decentralization and community empowerment.
Usefulness
The usefulness of your project is evident. By developing a more comprehensive and nuanced reputation system, you will improve the quality of decision-making within the SingularityNET ecosystem. This will lead to better allocation of resources, increased participation, and a more vibrant and sustainable community.
In summary, your project is highly feasible, viable, desirable, and useful. It has the potential to significantly improve the governance and reputation system within the SingularityNET ecosystem, fostering a more engaged and empowered community.
I am the designer of Transcendence Platform. We made a proposal for AI-enabled holograms, aiming to create a holographic virtual assistant for various applications, such as customer care, emotional support, advertising, and entertainment. By combining advanced AI with holographic technology, we enable natural and empathetic interactions that enhance the user experience. I invite you to watch it and give me your opinion. Thank you very much. Check it out here: https://deepfunding.ai/proposal/revolutionizing-assistance-3d-holographic-ai/
Overall
The proposal for enhancing reputation and governance in the SingularityNET ecosystem presents a comprehensive approach to improving decision-making processes through strategic workshops, RFP creation, and leveraging existing research and infrastructure. The proposal effectively outlines the core problem, specific solution, project details, team expertise, and milestones. However, additional clarity on scalability measures and potential challenges would further strengthen the proposal.
The project appears feasible, with a structured approach outlined across three milestones. The team's diverse expertise in governance, decision-making, data science, and ecosystem involvement strengthens the project's feasibility. However, further details on scalability measures, potential challenges, and mitigation strategies would enhance confidence in project execution.
The project's capacity to solve important issues with reputation and governance, like missing information and a lack of sophisticated knowledge, lends credence to its feasibility. The project becomes more relevant and scalable when it makes use of already-existing research, infrastructure, and ecosystem involvement. Ongoing endeavors to guarantee user uptake, regulatory adherence, and scalability, nevertheless, are essential for sustained success.
The initiative is quite appealing since it focuses on enhancing governance and reputation inside the SingularityNET ecosystem. The initiative provides community players with significant value and improves decision-making processes by means of workshop facilitation, RFP creation, and utilization of pre-existing research and infrastructure. The project's desirability is further enhanced by the collaborative approach and involvement of stakeholders.
By tackling prevalent issues in reputation and governance, such as missing data and a lack of sophisticated knowledge, the initiative is extremely beneficial. The project intends to improve decision-making processes and guarantee scalability, transparency, and fairness by utilizing current research, infrastructure, and ecosystem involvement. In order to maximize utility over time, adoption must be maximized and any obstacles must be addressed.
Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.
Overall (Primary)
This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).
Feasibility (secondary)
This represents the user's assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.
Viability (secondary)
This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:
Desirability (secondary)
Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?
Example:
Usefulness (secondary)
This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”
For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:
Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses.
Overall (Primary)
This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively).
Feasibility (secondary)
This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding.
Viability (secondary)
This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?”
Examples:
Desirability (secondary)
Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference?
Example:
Usefulness (secondary)
This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?”
For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?).
For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things?
Examples:
Organisation Designer and Governance Nerd.
Instigator at RnDAO, colead at TogetherCrew, ex-Supervisory Council SingulairtyNET, Head of governance at Aragon, Visiting Lecturer Oxford U. TEDx and HBR.
Proposal Summary
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