{"signature": "0xccc951dad79c088123ad8d94ee6bca5959068038387030a706ca246e88d823a26eb17fb3d748d649db29d6097536c68132f952564d15f38b945fe48a3620a88d1c", "application": {"round": "0x6e8dc2e623204d61b0e59e668702654ae336c9f7", "answers": [{"type": "email", "hidden": true, "question": "Email Address (for us to share updates and contact you directly)", "questionId": 0, "encryptedAnswer": {"ciphertext": "K3MCZIaJBEEWq20JgP/6qFpvTfpESKCgoPERj13Axs1rBsUU9c7rJ4zMqSf9PBSU", "encryptedSymmetricKey": "09401256a1b2a991cb2c2db127ee09fb959acde5d3ca56b5b459fa4bd3998e5700c65b927aceec0fc3d8a31573670e145d6ade00c5d925be8c97c6224cd870af4c5ed18f4f6ad32d0c2b560656d943ab7a75426c54ea2aefda7759c22fabacb1980b794afedd444b10943265b15c07158352a024f75c5312a52b022e0c6a5d690000000000000020ebe21a3fc7de0a0a791979bb2e48b03cd4f3a6c0fe3fbc143fa84141df0e160ac62c2f4575c9ed4a9de3665fdd072e94"}}, {"type": "short-answer", "hidden": true, "question": "Telegram username", "questionId": 1, "encryptedAnswer": {"ciphertext": "aNjgoV+KjnsRUtdUXIo94Zx3hrpZmiXfBYwUr4+f5GE=", "encryptedSymmetricKey": "be9ccd8c4241e743986ce1df14583b90a80db084f13d5c4b2a61a11a8abd6f46ed12eb4f4f8597db6c745020612868059aeaf3e107da1ed5d0fd1f896f0c030b500d007569fdb6f83ab61c8cf75cc25c4cdbd7d5cda5e20095cf255f1194db99c601e88590b1f2bb92d8e68898fa34a50a0f075b9bff776eb5e12b00d20249f2000000000000002068b79e76e4589a287bb03c7da58bbc6e3bada4e417a4663e40cd1fb5d678087ad9a928e3aafe8e5aab028237473245b0"}}, {"type": "multiple-choice", "answer": "Yes", "hidden": true, "question": "Have you read and confirmed your project abides by the Program General Eligibility Policy? https://gitcoin.notion.site/Gitcoin-Grants-Beta-Round-Eligibility-b7fca9fd3c26450b89ded11caaa6497f", "questionId": 2}, {"type": "short-answer", "answer": "Gitcoin", "hidden": false, "question": "Previous project funding sources (VC, grants, token sales, etc)", "questionId": 3}, {"type": "number", "answer": "14000", "hidden": false, "question": "Total prior funding for project in USD", "questionId": 4}, {"type": "number", "answer": "6", "hidden": false, "question": "Number of team members", "questionId": 5}, {"type": "paragraph", "answer": "Twitter:\n@simgesteen\n@sharfyae\n@yymnaa\n@facundocajen\n@dwddao", "hidden": false, "question": "Profiles or socials of other main team members publicly associated with project", "questionId": 6}, {"type": "number", "answer": "24", "hidden": false, "question": "How old is the project? (Months)", "questionId": 7}, {"type": "paragraph", "answer": "Project Description:\n\nGainForest is a groundbreaking initiative aimed at creating an open and transparent planetary computer for biodiversity and climate action. The project tackles the problem of Monitoring, Reporting, and Verification (MRV), which is crucial for carbon ratings and informed decision-making. Current major players in the field, such as Pachama and Sylvera, operate in black boxes and do not open or audit their algorithms. To address this issue, GainForest is developing an open model hub of AI algorithms for nature, including carbon counting and biodiversity estimation. This approach leverages citizen science and Decentralized Science (DeSci) to reward local data collectors and model developers.\n\nOur roadmap consists of the following steps with their respective timelines:\n\nBuilding a model hub on Hugging Face (Until Q3 2023): This hub will collect and advance open models, such as MegaDetector and Tree Delineation. More information can be found at https://huggingface.co/gainforest.\n\nCollaborating with the Bacalhau Team (Q2 2023): We will provide decentralized compute and storage for all open models, enabling reproducible and auditable computation pipelines. All data schemas will be shared on https://CO2.storage to allow interoperability.\n\nParticipatory science with AI Chat Bots (June 2023): These chatbots will engage citizen science and local community participation, fostering a more inclusive approach to data collection and model development. A small demo can be found in our Discord: https://discord.com/invite/SsQhjPDasg.\n\nCompeting in the XPRIZE Rainforest Semifinals (June 2023): GainForest is among the last 15 teams in this competition, testing our approach at a highly competitive level with global media attention: https://www.biodivx.org/.\n\nIntegrating data and models for conservation projects (Q3 2023): All data and models will be freely available and deeply integrated for all conservation projects on GainForest (https://maps.gainforest.app), empowering NGOs and small conservation organizations to utilize their collected on-the-ground data, such as tree images and wildlife cams, without the need for AI expertise.", "hidden": true, "question": "Describe your project in a few paragraphs (ideally including a problem statement, solution, roadmap, and timeline for implementation)", "questionId": 8}, {"type": "paragraph", "answer": "Our project aligns with the mission and goals of Decentralized Science (DeSci) by addressing the limitations of current data and AI infrastructure in climate and biodiversity finance, which is often characterized by black-box, unaudited, and opaque systems. By developing radically open, integrated, and transparent scientific models, we aim to empower marginalized communities and ensure fair access to information.\n\nWe support DeSci's objectives through a participatory data and model development approach, which incentivizes citizen scientists and encourages contributions from experts in the Global South. By utilizing the Bacalhau infrastructure, our project ensures that all data pipelines are transparent and capable of being radically reproduced.\n\nOur commitment to the DeSci vision extends beyond the technical aspects of our project. We actively promote the frontiers of decentralized science by providing grants for data collection, digital infrastructure development, and workshops focused on participatory citizen science, fostering an inclusive and collaborative environment for scientific research.", "hidden": true, "question": "How does your project support the mission or goals of DeSci?", "questionId": 9}, {"type": "paragraph", "answer": "The funds from the grants program will be utilized to bolster and broaden our decentralized science initiative at GainForest. This endeavor will encompass the acquisition of drones and wildlife cameras, as well as supplying digital infrastructure and training for local communities. For more information about our program, please visit https://gainforest.app/science.\n\nFurthermore, the financial assistance will be channeled into developing GainForest GPU compute nodes, which will be integrated as shared data and AI commons on the Bacalhau platform. These compute nodes will play a crucial role in hosting and running open large language models like LLaMA, as well as remote sensing computer vision models. By establishing a robust test bed for AI development and experimentation, our goal is to cultivate innovation and advance state-of-the-art technology in the field, building an open and transparent planetary computer for ReFi.", "hidden": false, "question": "Describe how funds from the grants program will be used for your project.", "questionId": 10}, {"type": "address", "hidden": true, "question": "If you participated in past grant rounds (i.e. DeSci GR15) using a different project payout wallet address, please share it here.", "questionId": 11, "encryptedAnswer": {"ciphertext": "GjDsUCbH46AYnYlrtCJJ1cDnD0BqhTNyJRu5itQExbBhMwOKXTUu4YerG5oGvdClodRXpyS9EtBelSXvKe9t1A==", "encryptedSymmetricKey": "842721b8563c1c8f6b0aa8390600eaf0dedfe5fd4a7dfcd1b718f89248d2c6035379eaf9fbef6c983a90f0902a0b720228e365c4f19636d237ab840274e3547d3548b7ca9e6c287ba06b8363ae93d185c45b3bc39d5c3799341a1572eef9b88fe77f62640ad57a9e648f9d559e20ce26f0bbd4c12bedd047cb3877abc767d3f000000000000000207d966161b2b27bee733a83a6acddd48a09ab66351c5dd90a9ea369b717afa683256dd13607051710994feb005657d0a2"}}, {"type": "paragraph", "answer": "We are excited to share a series of significant updates since GR15, highlighting our continued dedication to promoting environmental conservation and climate action:\n\nLaunching \"Measure-to-Earn\": A Groundbreaking DeSci Protocol in the Philippines\nWe introduced \"Measure-to-Earn,\" a pioneering DeSci protocol that allows local communities in the Philippines to earn income from data measurements while ensuring transparent tracking of donations to individual members. In just two days, this initiative has impacted 40 community members, leading to the planting of 300 seedlings and the measurement of 300 trees. Learn more: https://tinyurl.com/gainforest-sbs-boston\n\nSponsoring Global South Climate Negotiators at COP27 in Egypt\nWe supported two climate negotiators from the Global South during COP27 in Egypt, providing them with training and advocating for a loss and damage fund and equitable rights. Learn more: https://blog.gainforest.earth/cop27\n\nMeasuring 37,000 Trees and Supporting Projects across the Philippines, Bhutan, and Paraguay\nWe have measured 37,000 individual trees to date and provided drones, wildlife cameras, and training to projects in the Philippines, Bhutan, and Paraguay. Learn more: https://gainforest.app/science\n\nUnveiling the \"Green Globe Hub\": Real-Time Environmental Data and Project Updates\nWe launched the \"Green Globe Hub,\" an interactive, web-based visualization platform showcasing real-time environmental data and project updates from around the world. Learn more: https://blog.gainforest.earth/green-globe\n\nWelcoming Over 20 New Projects and Facilitating Funding through Transparency\nOver 20 new projects, including those from ReFi and beyond, have joined our platform, utilizing our transparency dashboard for in-depth analysis. One local partner successfully secured funding for tree planting efforts, with the donor citing GainForest's transparency dashboard as a decisive factor. Learn more: https://gainforest.app/overview/24\n\nCompeting in the Global $10M XPRIZE Rainforest Competition\nWe are honored to be among the final 15 teams competing in the $10M XPRIZE Rainforest competition in Singapore this June, providing an opportunity to test our biodiversity-monitoring algorithms alongside other talented teams from around the world.\n\nDeveloping Advanced AI Models for Carbon Credit Analysis and Tree Crown Delineation\nWe are in the final stages of creating an advanced large language model to analyze carbon credit documents and a tree cover model to predict tree crown delineation using drone imagery. Stay tuned for more updates on our Discord channel: https://discord.com/invite/SsQhjPDasg", "hidden": false, "question": "If this project participated in past grant rounds, please share any new updates or milestones since the last round.", "questionId": 12}, {"type": "paragraph", "answer": "\ud83e\udd84 Team\nWe are an interdisciplinary and international nonprofit association based in Zurich, Switzerland \ud83c\udde8\ud83c\udded with engineers, policy makers, and researchers from Germany \ud83c\udde9\ud83c\uddea, the U.S. \ud83c\uddfa\ud83c\uddf8, the UK \ud83c\uddec\ud83c\udde7, Indonesia \ud83c\uddee\ud83c\udde9, Turkey \ud83c\uddf9\ud83c\uddf7 and Argentina \ud83c\udde6\ud83c\uddf7\u200b. Our goal is to reverse the deterioration of nature by enabling dignified and sustainable work for forest communities using trust-enhancing technologies.", "hidden": false, "question": "Is there any other information you would like to share about your project, previous work, other project affiliations, or potential conflicts of interest? (or anything not covered elsewhere in this application that you feel is relevant to share)", "questionId": 13}, {"type": "multiple-choice", "hidden": true, "question": "Does 50% of your team reflect the diversity of the community your project serves with a particular emphasis on including women, Black, Indigenous, and People of Color (BIPoC), individuals with disabilities, and members of the LGBTQ+ community?", "questionId": 14, "encryptedAnswer": {"ciphertext": "i7mqrAn+bSVm5+gkrHbOznklpcVvcG09puIyxpvqR3I=", "encryptedSymmetricKey": "398a37b28b87831ca598ccadcf9d043fe893e176e84ec9f9f68301d3ab6ae69933677722ecbb323ce9b14cea2e540a0effd87c4c64fb1c6e22c621a650cfe0a22844f1b0142231a9796974460375bf3702fc6d0748dd025e7f0e7887169245a4e9bd1eb7cc7f7b3010524fd3428c1257b5a69732a6a5817a7cc4d9eb1a91f92e00000000000000201f4afcbd4a59e6380bcf6ce0988cfb84c2954b62bfaf8da7e61481494f5ba824da5c4d46771c736e26c177cfa1dae5b1"}}], "project": {"id": "1:0x03506eD3f57892C85DB20C36846e9c808aFe9ef4:474", "title": "GainForest: A Planetary Computer for ReFi powered by DeSci and AI", "logoImg": "bafkreic57lp653takivr66ihxtgu4r4xcgwmonk3aaxt53rl2pclp6szdi", "metaPtr": {"pointer": "bafkreic7hzjd3p2sur33cx2z3x7p64z66r3evyfvkykw7kzs4kgwidf2g4", "protocol": "1"}, "website": "https://gainforest.earth", "bannerImg": "bafkreihq3qxjvo53rxnixr6b62u6aztmp6etgq7crdmxycfwo7mmiudoue", "createdAt": 1681786809517, "userGithub": "daviddao", "credentials": {"github": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..MLkjoPZf2zADlvPPCPYKgyRKXVyDZBpCnQVSe47eut5n9QJsioXcBB3Py6Hbdd1tdqy1TJE3fvjrKc1J8ragBg", "type": "Ed25519Signature2018", "created": "2023-04-18T02:34:05.298Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-04-18T02:34:05.298Z", "expirationDate": "2023-07-17T02:34:05.298Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xEf48752C933b1050187e89A9F909De2b9e0BDCE6", "hash": "v0.0.0:E5QalMkBAwzOXP0Ea4nmYuYMRhZQaMqR9TNeJDOezEU=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextGithubOrg#GainForest#1241240"}}, "twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..1BRRyQ-gKnDxzJWJUhYBrGJ-kMCKgHktegTjZCkluj93NcXk0MPBHRpKxnZZYwNZkIRmmXrLG5XUzL3h1ps0Bg", "type": "Ed25519Signature2018", "created": "2023-04-18T02:32:31.367Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-04-18T02:32:31.367Z", "expirationDate": "2023-07-17T02:32:31.367Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xEf48752C933b1050187e89A9F909De2b9e0BDCE6", "hash": "v0.0.0:Qp/1VRw5O3CmmlNgfSnd9bOUybAlfTym8kYezeotguI=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#GainForestNow"}}}, "description": "GainForest\u2122 is a non-profit using AI and decentralized science to measure and reward sustainable nature stewardship. https://links.gainforest.earth", "lastUpdated": 0, "projectGithub": "GainForest", "projectTwitter": "gainforestnow"}, "recipient": "0xc741a5124549F38a72e3a56C7d5e68E481B75441"}}