Last updated a year ago
There is a growing concern of camera hacks, data insecurity, identity faking, and risked privacy in modern security cameras. AdaLens uses Cardano-powered hybrid cameras to solve these issues.
TogetherCrew equips community builders with in-depth community health analytics, personalized recommendations, and AI-powered knowledge management to build thriving communities.
This is the total amount allocated to Community Health insights to build unstoppable Cardano communities.
Usage of API of third-party community platforms (Telegram, etc). Compliance with T&C already validated
All the code developed for the project will be open source. However, the project leverages some components from previous projects that are not currently open source. It's our intention to eventually open-source all components once the project has gained enough traction and the quality of the code validated.
SDG goals:
Ensure healthy lives and promote well-being for all at all ages
Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
SDG subgoals:
Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectors
Key Performance Indicator (KPI):
Annual growth rate of real GDP per employed person
Universal Human Rights Index (UHRI):
#proposertoolsdg
A strong community makes a project unstoppable and creates wellbeing for its members. But when it comes to community building, we're shooting in the dark with Web2-era analytics that optimize for hype over substance.
Our tool helps community builders build engaging, resilient, and sustainable digital communities by increasing their effectiveness in their two key tasks: managing people and managing information.
We enable precise member management thanks to social network analysis (quantitative analysis of relationships) and machine learning (qualitative analysis) to understand not only member activity but the role a member fulfills in the social network, including highlighting members at risk of disengagement and at risk of burnout.
We then leverage these analyses and data to provide a 'Hivemind bot' for members to navigate the knowledge graph of the community. Beyond simple queries, this bot uses a multi-agent LLM system to function as a "research assistant" that can breakdown complex tasks into subtasks and provide more advanced knowledge management. This in turn enables more effective contribution and faster onboarding.
Finally, we provide community leaders and managers with an actionable Community Health KPIs Dashboard, and tailored recommendations, so they can plan and assess progress.
Our work has already been funded by major Web3 players (Aragon, Aave, Celo, Near, Polygon), enabling us to complete the baseline research on how to assess community health and the development of a prototype to validate usability.
The current proposal aims to help us expand said prototype to:
- include more data sources (Discord completed and Twitter under development, aiming to include Telegram through this proposal and followed by on-chain data in a subsequent proposal),
Our tool will provide Cardano-based communities with insights and recommendations they need to become unstoppable. In doing so, we add another tool to the Web3-communities stack and crucially have a systemic impact across the ecosystem in enabling others.
We hope to reach 10 Cardano-based communities shortly after project completion and then scale to 100+
Additionally, we operate as a DAO, with Web3 values of decentralization and community empowerment at the heart. Funding this project helps us foster that agenda thanks to the quantification of metrics such as social decentralization.
We regularly publish research findings in our blog (rndao.mirror.xyz) and twitter (https://twitter.com/togethercrew)and plan to continue this practice.
Additionally, we have included a time-budget to plan and execute an awareness campaign across Cardano-based communities.
We're an experienced team of contributors (C-level experience and PhDs) in the relevant areas, having previously completed grants for various Web3 ecosystems (Near, Polygon, Celo, Aave, etc.)
We bring the same quality of execution and commitment to our mission to create healthier communities to this project and are excited to work with the Cardano community.
Our processes include:
We aim to deliver a working MVP of our product to multiple Cardano-based communities, and achieve repeated usage and positive feedback.
The project serves a larger mission to empower humane collaboration by enabling community builders to create healthier, thriving web3 communities.
Milestone 1:
Milestone 2:
Milestone 3:
Milestone 4:
Total project cost: 160,000 ADA
The project's budget has been weighted at an equivalent of $ 0.8 USD per ADA, significantly above the current market rate of $0.27
Additionally, the project builds upon previous R&D and non-remunerated labour invested by the contributors, adding over $300k of value to the project delivered to the Cardano community.
Danielo (contact person) - CoLead at TogetherCrew and Instigator at RnDAO. Previously, Head of Governance at Aragon, 8 years experience in Organization Design consulting (clients include Google, BCG, Daymler, The UN, and multiple startups), and visiting lecturer at Oxford University.
Katerina - Co-lead TogetherCrew. Ph.D. using social network analysis. Since 2016 she is co-instructing a graduate course on data analytics for HR at Northwestern University. She has also co-organized the Learning in Networks sessions at the International Conference of Social Network Analysis (2018 - 2020), and previously advised a people analytics company on social network metrics.
Tjitse van der Molen - Contributor at TogetherCrew. MSc degree in systems biology, focussed on large scale biological data analysis. Currently, he is obtaining his PhD in dynamical neuroscience where he is using graph theory and advanced statistical methods to study how neurons self organize into interaction networks. He is applying the same techniques to study community member interaction networks.
Cyrille Derché - Contributor at TogetherCrew. Bsc. Computer Science. Ex-Accenture, Co-founder and CTO of SaaS company helping medical device manufacturers deliver product data + documentation to healthcare professionals (handling of sensitive data). Builder of products, processes, and teams.
Additional team members from the TogetherCrew team will participate in the project as needed. See full team here: https://sobol.io/d/rndao/explorer?view=circles