metadata: {"signature": "0x53ce38ad52b828ebf7444772bde87692e9338db79a1389235278027b22493a145f65a615ac3b6f7d7b111333a372ac90335c5027b24a92b254594a7ff63535061b", "application": {"round": "0x0c0412ddb846096ea1e37de717921ebf4fef9a39", "answers": [{"type": "email", "hidden": true, "question": "Email Address", "questionId": 0, "encryptedAnswer": {"ciphertext": "FAdMBfk3SkP3iuBC+d3V5qKLZc7FOuptHdmErZ8YzBfKhaHS9u6pzmLhzCrkliYv", "encryptedSymmetricKey": "6cd6dc48b60418b46f76f3da7f6732c2a84a1c616f86a53f3a3c8806922df384c334768e46816c333e484b40eea12415aefa1ab7c9c60369af22b7e3c0333162dfb7cc696ccefba4a3a457b63497292ff23db5e8ba13b3c29cd362965485bd95e45b036b8a1c84f8d397293e9522d48c292dd1bb12bcc94a81999bc4028f6c3900000000000000200b0c13372e60ba5f4ea066a04523f5b728db252cf8cdfcc7887f3363a71daa53d506f02d9fc3c158336ed0a47345eda7"}}, {"type": "short-answer", "answer": "We are 100% grants (Filecoin Green & Climate Collective) and community (Gitcoin Rounds 18-20) funded.", "hidden": false, "question": "Funding Sources", "questionId": 1}, {"type": "number", "answer": "0", "hidden": false, "question": "Team Size", "questionId": 2}, {"type": "short-answer", "answer": "sharfyae", "hidden": true, "question": "Telegram username", "questionId": 3}, {"type": "paragraph", "answer": "268000", "hidden": true, "question": "Total prior funding for project in USD", "questionId": 4}, {"type": "paragraph", "hidden": true, "question": "Profiles or socials of other main team members publicly associated with project", "questionId": 5}, {"type": "short-answer", "answer": "66", "hidden": true, "question": "How old is the project? (Months)", "questionId": 6}, {"type": "paragraph", "answer": "We are a climate & biodiversity innovation lab that co-produces artificial intelligence models to measure and map impact around the world. We accomplish this through Indigenous and local scientists and low-cost DePIN infrastructure such as low-end drones and audiomoth sensors. Find out more here: [https://www.youtube.com/watch?v=mzoFxBQs1CA](https://www.youtube.com/watch?v=mzoFxBQs1CA&t=21s)\n\nOur technology recently participated in the XPRIZE Rainforest Finals, where teams compete on rainforest and biodiversity remote sensing, which you can see here: https://www.youtube.com/watch?v=AakSOgHc0d8", "hidden": false, "question": "Describe your project in a few paragraphs (ideally including a problem statement, solution, roadmap, and timeline for implementation)", "questionId": 7}, {"type": "paragraph", "answer": "We give out DeSci grants and capacity building workshops to our local and Indigenous scientists.\n\nSome of these models in community co-production can rival the state-of-the-art models, such as our canopy delineation algorithm for dense rainforests.", "hidden": false, "question": "How does your project support the mission or goals of DeSci?", "questionId": 8}, {"type": "paragraph", "answer": "We will expand our Indigenous and local scientists program by starting with the local Amazonian communities and South East Asian communities. The tools that will be developed will be used to strengthen the web3 grants ecosystem, especially in ReFi.", "hidden": false, "question": "Describe how funds from the grants program will be used for your project. ", "questionId": 9}, {"type": "paragraph", "hidden": true, "question": "If you participated in past grant rounds (i.e. DeSci GR15/ Beta) using a different project payout wallet address, please share it here.", "questionId": 10}, {"type": "paragraph", "answer": "This year, we have co-hosted 10 capacity building workshops in the Amazon rainforest in Brazil. Learn more here: https://gainforest.substack.com/p/gainforests-journey-with-eth-biodivx-306\n\nWe have co-hosted an open science hackathon in May-June 2024, ([hack.biodivx.org](http://hack.biodivx.org)) with over 200 participants joining around the world, resulting in 16 teams and AI models to tackle the biodiversity crisis.", "hidden": false, "question": "If this project participated in past grant rounds, please share any new updates or milestones since the last round.", "questionId": 11}, {"type": "paragraph", "hidden": true, "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": 12}, {"type": "checkbox", "answer": ["Yes"], "hidden": false, "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": 13}, {"type": "multiple-choice", "answer": "I already read the above exclusion criteria and understand those exclusion criteria are not permitted and will result in rejection or removal from the round.", "hidden": true, "question": "Please read the following exclusion criteria that are not permitted and will result in rejection or removal from the round.", "questionId": 14}], "project": {"id": "0x74965e6ddf84caa8f5fa121bf1df71e6b2696343a92b6700cfb34576e9fc7dc6", "title": "GainForest: A global conservation data income enabled by AI and web3", "logoImg": "bafkreihqv4kxbybv2tkse2byeuyhyxw74lrjotqpto5xmj57kvwraj3jgm", "metaPtr": {"pointer": "bafkreicsp62si27h2guitmoeyzu3dht6sn7uzom6o5t5dz2zplcbkwz2ve", "protocol": "undefined"}, "website": "https://gainforest.earth", "bannerImg": "bafkreidxf4bf4yuivv2y3kz3ilvgwv6calighiexwgziyljc2j65atg2j4", "createdAt": 1713301991812, "userGithub": "", "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..0XtxBfIwV45Ec3BgG_nFEjKAwi76kXAb5LS3oEu1pO2BG6DIxYkcNJykJZq6CJH-ELnq8FAKuVAMgDg5idO3BQ", "type": "Ed25519Signature2018", "created": "2024-04-16T21:57:59.417Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2024-04-16T21:57:59.417Z", "expirationDate": "2024-07-15T21:57:59.417Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x1E75F4Ee9732047f0C6BB47a1b8dad8CFD1E8Eed", "hash": "v0.0.0:Qp/1VRw5O3CmmlNgfSnd9bOUybAlfTym8kYezeotguI=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#GainForestNow"}}}, "description": "gainforest.earth is a\u00a0global non-profit and that aims to bring transparency to conservation and restoration projects using web3.\n\n![gainforest.app](https://imgur.com/s4rPU5m.gif)\n\n### How gainforest.earth works\n\nOn the financial side, the flow of funds towards a conservation project are transparently displayed on our\u00a0Green Globe [**platform**](www.gainforest.app). On the conservation and restoration side, local communities use a variety of\u00a0**dMRV (Decentralized Monitoring, Reporting and Verification) and DePIN (Decentralized Physical Infrastructure Network)**\u00a0techniques to show \"Proof of Care\", or proof that the funds are used towards sustainable stewardship. Specifically, they upload individual tree images, audio recordings and drone data.\n\n![How Gainforest works](https://gainforest.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F592f10fa-b2fe-4de7-84d7-d47ef5244493%2Fe79e5d80-19de-4eb9-8383-5bbc12ea9ead%2FScreenshot_2024-08-04_at_22.20.25.png?table=block&id=a4107b04-567c-4f7b-8533-32c6171ec503&spaceId=592f10fa-b2fe-4de7-84d7-d47ef5244493&width=1420&userId=&cache=v2)\n\n*Gainforest.Earth provides communities with artificial intelligence models to measure impact. A global data council then decides on conservation data payments (through an escrow). Every step is tracked through [attestations](https://celo.easscan.org/attestations/forSchema/0x1636b2944b2b3a8d9553323543b8b0d4653915ffa4038c5bd18400fbffc368ad).*\n\n### On Conservation Data Income for local and Indigenous communities\n\nData regarding biodiversity in the Global South is scarce. Many species of plants and animals in these regions remain undiscovered and undocumented.\u00a0**A conservation-focused data collection initiative would create a global data commons**, propelling\u00a0the advancement of AI and biodiversity research in these areas. **We work together with local communities to co-design environmental data collection and research.** \n\n![Workshop in Inhaa-be](https://gainforest.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F592f10fa-b2fe-4de7-84d7-d47ef5244493%2F9e60a531-47ff-4795-80cb-baf255c58988%2FUntitled.png?table=block&id=f5009c7c-5cc8-4aa4-9fd7-0884c8afdbaa&spaceId=592f10fa-b2fe-4de7-84d7-d47ef5244493&width=1420&userId=&cache=v2)\n\nGainForest provides local and Indigenous communities with equitable artificial intelligence models to measure their impact.\n\nCurrently, our platform welcomes a network of\u00a0**25**\u00a0(and counting!) conservation organizations around the world.\n\n### On Artificial Intelligence for Forest and Biodiversity Monitoring\n\nGainforest develops in-house artificial intelligence algorithms for nature-based impact monitoring. We are focusing on two research areas:\n\n- Bioacoustic models to detect biodiversity activity\n- Geospatial models to classify forest canopy structure and individual trees\n\nAll predictions are provided to our communities through our Insights platform, the Green Globe - a data commons for ReFi.\n\n![gainforest.app](https://gainforest.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F592f10fa-b2fe-4de7-84d7-d47ef5244493%2F3cb59e0d-6599-4d9c-b14c-082908ed7c7d%2FScreenshot_2024-08-04_at_22.37.26.png?table=block&id=554c8dc4-9e18-4242-8ff3-a9bc2a7ec27a&spaceId=592f10fa-b2fe-4de7-84d7-d47ef5244493&width=1420&userId=&cache=v2)\n\n*We host the GainForest Green Globe, a global data commons that local and Indigenous communities can use to display their conservation efforts*\n\n![Tree delineation](https://gainforest.notion.site/image/https%3A%2F%2Fprod-files-secure.s3.us-west-2.amazonaws.com%2F592f10fa-b2fe-4de7-84d7-d47ef5244493%2Fa105b746-6ef1-4d8f-b676-ad3b94e1ab38%2Fdelineation.png?table=block&id=de222e09-e178-473a-8b3d-be9108466690&spaceId=592f10fa-b2fe-4de7-84d7-d47ef5244493&width=1420&userId=&cache=v2)\n\n*Our canopy delineation algorithm is able to detect and count individual trees even in dense rainforests from a single drone image*\n\n**Our work has gotten us to become\u00a0[one of six finalists](https://www.xprize.org/prizes/rainforest/finalist-teams#:~:text=XPRIZE%20Rainforest's%20independent%20judging%20panel,of%20the%20XPRIZE%20Rainforest%20competition)**\u00a0**of the XPRIZE RainForest competition**. 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