{"signature": "0x9c74b092a8e96f013de29cee5260e25c6199a1f82243d70ab3cba073782b18b158ff2e02e2b61de072fccfff3afd09874cfa6e0f734ce810212ab6fb94a8cc3a1c", "application": {"round": "0x347ff9951d24e29b559e3323b5370aa29993e613", "answers": [{"type": "email", "hidden": true, "question": "Email Address", "questionId": 0, "encryptedAnswer": {"ciphertext": "KQUHzL93o3zam/8MlvRg90dQTzC2ROtxt/CbOPGle0FGSS5GYJ4/GbHBQZfSb5mj", "encryptedSymmetricKey": "1250446d8a59ee2bebf81275966c27f186e336e57c666d5fd876a638b2fef181363da74ec4af9c92e153c9e8fcdfc80343511c228aab25c78c19786a52c4569c31557aff4d0241f1ca0c9adeeb5d70849a9ee4c8ef188c942f2878a5a1a1f9905006150edf5020fe460553db837eac8281f82433dac6bfed98bc10ad6dd1546b0000000000000020ae49c6f1a0e95e8ad6439aef5e41a4715da7ad16d616f8490a476f79bbae68f65b7896c33e252c34ed96176aa12718a9"}}, {"type": "short-answer", "answer": "Gitcoin", "hidden": false, "question": "Funding Sources (how is the project financed outside of this round)", "questionId": 1}, {"type": "number", "answer": "5", "hidden": false, "question": "Team Size (including full and part time)", "questionId": 2}, {"type": "paragraph", "answer": "VinQ ([https://vin-q.com/](https://vin-q.com/)) platform is an example of distributed research (DeSci) and new type of collaboration based on sharing reliable data. The farmers collect data individually in their fields, establishing their priorities and objectives. \n\nThe data can be categorized into two types: real, verifiable data reflecting the actual state (ground truth) such as microbiology, climate, soil quality, diseases, and production, which can be confirmed through fact-checking and represents a point in a parameter space. The other type of data pertains to the management style, which includes actions that affect points in a parameter space. Any treatments or fieldwork carried out to mitigate problems or improve conditions reflect the personalized style of the individual. By utilizing AI to connect these two types of data, a governance system is established, where individuals autonomously explore parameter space while AI is trained on real-world consequences. ", "hidden": false, "question": "How is the project CollabTech?", "questionId": 3}, {"type": "paragraph", "answer": "Targeted group is the farmers that are connected implicitly by data and their experience. \n\nBy integrating a data platform with machine learning algorithms and visualization tools, Vin-Q can not only improve decision-making processes but also predict future vineyard performance and optimize management strategies proactively.\n\n1. **Enable Rapid Adaptation of regenerative practices** through Iterative learning from real-time data in the field of farmers ensures that the platform can quickly adapt to changing conditions.\n2. **Encourage Community Innovation**: Users can share and valorize personalized strategies, fostering swarm intelligence and collaborative problem-solving.\n3. **Reducing Centralized Risks**: Distributing AI capabilities across a network of autonomous agents reduces the risks associated with centralized systems and \"expert\" advices.\n4. **De-risk the transition to regenerative agriculture** through sharing knowledge from successful applications.\n5.** Provide a distributed and decentralized research** space to test new methods, ideas in real environment with the participation of farmers.", "hidden": false, "question": "Who's the targeted user group and what's the need/problem being addressed?", "questionId": 4}, {"type": "paragraph", "answer": "The farmers fund the equipment to receive personalized information about their fields, this provides the basis for distributed research environment that can be financed by researchers and their grant to solve particular problems.", "hidden": true, "question": "How do you ensure value keeps being delivered after the round is over? (How will the project become commercially sustainable or a perennial good? )", "questionId": 5}, {"type": "paragraph", "answer": "12-24 months", "hidden": true, "question": "How long will it take after funding is received to deliver value? (share a high level timeline)", "questionId": 6}, {"type": "paragraph", "answer": "vbaulin", "hidden": true, "question": "Contact info (telegram handle or whatsapp)", "questionId": 7}], "project": {"id": "0x3caef6852c9d963611a82394601cc37f14d5e8f596fa07fc0f371e6a4e19c925", "title": "VinQ: Decentralized co-creation for regenerative viticulture", "logoImg": "bafkreigtct4mm62wypvdohluwxuv4666kxrsuopyhuptivqvhsxq7w3c2e", "metaPtr": {"pointer": "bafkreih7judrkj6jcvofuzkpgfuygpsjdqr3jzgmdzjm3diw7zuupifoqe", "protocol": "undefined"}, "website": "https://vin-q.com", "bannerImg": "bafkreifjuntmbts3mss35ulu2z7skoczx2syzlb4wanjvolcxm2vsepn6m", "createdAt": 1710574508866, "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..Wa87r3A4BlaG9aYUGL90iEfemIkaPJY294ajYQxRx0VMQl-aVfGqDD8N_8kLsx8BlUr9PupChA19tZVdiM1xDQ", "type": "Ed25519Signature2018", "created": "2024-03-16T07:34:34.835Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-03-16T07:34:34.835Z", "expirationDate": "2024-06-14T07:34:34.835Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x834f240B6dEdc7a0Cf6ae908115B5f0054fC81a4", "hash": "v0.0.0:GCd7crLSOBvcAxRk1MwuJr4TEowbl5iWm715KEizoQk=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#vinqcom"}}}, "description": "# Distributed research platform\n\nVinQ (https://vin-q.com) aims to find scientifically validated solutions to initiate a global transition to more sustainable practices in agriculture through participative research. \n\n## Aim\nInitiate the shift from traditional towards more sustainable, nature centered regenerative practices in agriculture using data-centered approach.\n\n## Actionable intelligence\n\nThis system uses AI to analyze and learn from individual actions, which are then cross-referenced with real-world consequences, facts and outcomes. This demonstrates the use of AI being trained on real-world data to improve human decision-making as an advocate of Nature, rather than on human-labeled training data.\n\n![actionable intelligence](https://vin-q.com/wp-content/uploads/2024/01/ls-project-76-slide-1-scaled.webp)\n## How it works\n\n### Data-centric knowledge sharing\n\n1. Collaboration based on sharing of reliable data. The farmers collect data individually in their fields and indicating their priorities and personal objectives.\n\n2. Two classes are connected with AI: \n\n- **Data from Nature:** True, verifiable data reflecting the actual state (ground truth) such as microbiology, climate, soil quality, diseases, and production, which can be confirmed through fact-checking. This data represent points in a parameter space. Any changes in this data are reflected.\n\n- **Actions** The other type of data pertains to the management style inducing the changes in the state, which includes actions that affect points in a parameter space. Any treatments or fieldwork carried out to mitigate problems or improve conditions reflect the personalized style. \n\nBy utilizing AI to connect these two types of data, a governance system is established, where the user autonomously explore parameter space while AI is trained on real-world consequences thus providing the farmer a feedback on the consequences for the Nature of his actions. \n\n### Dashboard\n\n![dashboard](https://vin-q.com/wp-content/uploads/2024/01/Picture1-scaled.webp)\n\n### Activities\n\n![permalink setting demo](https://vin-q.com/wp-content/uploads/2024/04/Screenshot-2024-04-14-at-18.55.07-scaled.webp)\n\n### Previous funding:\n\nThis project has not received any centralized grants or funding. It received donations through Gitcoin rounds: Climate rounds of GC18, GC19, Metagov, Hyperdesci: $189.86 crowdfunded from 134 people\n$609.96 received from matching pools.\n\nHypercerts are minted.\n\nThe money was used to build sensors and NAYAD remote sensing online platform for prediction of downy mildew and collection of basic fields in Penedes wine region. This setup is scalable. \n", "lastUpdated": 0, "projectTwitter": "vinqcom"}, "recipient": "0x834f240B6dEdc7a0Cf6ae908115B5f0054fC81a4"}}