{"signature": "0xccce620c560d491bfba8a82513e15f43bac121993882c253c3fef7bf636d99715fcb0b9d4f19d3e59b1751ea3cd3096e796ad9c7ea28c4a69e76e68c29dd71bc1b", "application": {"round": "0x6e8dc2e623204d61b0e59e668702654ae336c9f7", "answers": [{"type": "email", "hidden": true, "question": "Email Address (for us to share updates and contact you directly)", "questionId": 0, "encryptedAnswer": {"ciphertext": "Kt+nbWK7OPCJkdN3Yq+HwSeq9Bo8agA8hYMoS06DMDQu5QWRuLTULK2b1jkriKno", "encryptedSymmetricKey": "50a764e70192ef7e6edae934067b9e438aeccc0d60d2048fcc7877424d15edece56f15851f61e59047bf60415adf471252daed88a3b0bd0431f7e4107b2648676800e674e9d325048355ef4b576591f9cd0abf6ea510c3262ca11f36ef4dbb8a04816aa72b4f680904434f69c0797170bda0e2231aa6495c6f28eab6bf55efe70000000000000020f6de930cbf56a1890a683399232383dfa3ab384f305128a6c92460b86c32ccd1327c415322d2b78f7c39c96fb4f00294"}}, {"type": "short-answer", "hidden": true, "question": "Telegram username", "questionId": 1, "encryptedAnswer": {"ciphertext": "nq4ivBdxfL4WNw6bpo1FviANhED446Wwk2XmlZbe+9M=", "encryptedSymmetricKey": "e06828d708ccfc65f4b4405fd62faff09307ca5050cb52e4d3eb4552d41d15238b1770af21d1312cf0a50bb2b544f9184ab3e0c3e97646526213e6bbd769082f6992aa5afc9bfb15e9ef07deaf843a497dfb32a58486f9a6fa0d80d1fd80a7a91ddff50634edebfaad49be41315d5be25c97ea48d799802ea935fbbaa2b2761b0000000000000020ceb40f7cfd41687b24cf13a3583838937fe58600ad2310cd9f416b2363ba31f89411c065621e0cd162ddcdd9deb58cb6"}}, {"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 Grant Round 15", "hidden": false, "question": "Previous project funding sources (VC, grants, token sales, etc)", "questionId": 3}, {"type": "number", "answer": "7000", "hidden": false, "question": "Total prior funding for project in USD", "questionId": 4}, {"type": "number", "answer": "2", "hidden": false, "question": "Number of team members", "questionId": 5}, {"type": "paragraph", "answer": "https://twitter.com/an_lesnikova\nhttps://www.linkedin.com/in/angelina-lesnikova/\nhttps://www.linkedin.com/in/vk2lndx/", "hidden": false, "question": "Profiles or socials of other main team members publicly associated with project", "questionId": 6}, {"type": "number", "answer": "12", "hidden": false, "question": "How old is the project? (Months)", "questionId": 7}, {"type": "paragraph", "answer": "Please have a look at our main project description (created in Builder), we have covered the problem we are solving and our solution there. Our roadmap and estimated timeline are shown in the banner we've uploaded (if the banner is not displayed fully, it can be seen at this address https://gitcoin.mypinata.cloud/ipfs/bafkreidqbhiq6i27qcxbylkrjirvkr4gizfs763dvpbtaxlcfepc4ok4xm).  The text I'm also attaching just in case here:\n\nSci2sci - \u201cscientist-to-scientist\u201d - is a project that builds infrastructure for decentralized data sharing between researchers. \n\nWhile the Internet has allowed an easy peer-to-peer information exchange adopted by multiple industries and users worldwide, the science ecosystem is largely acting as if the last 30 years of telecommunication has never taken place. Academic knowledge nowadays is still siloed in pdf-formatted journals and hidden behind the paywalls. Moreover, original datasets are often left unpublished due to the lack of incentives to release raw data into public repositories. Preparing data for publication takes hours of effort and does not pay off, and finding the relevant data online is also hard due to poor annotation and inefficient search software. \n\nWe at sci2sci are building the following modules to update science:\nSearch engine for structured data (it\u2019s like Google, but for .csv files, Excel spreadsheets etc.) - to make use of the data that has already been published but spread all over the Internet. This module is almost finished (short demo here) and we are looking for beta testers, please subscribe here! \nPublishing platform for research data - to release high-quality, well-annotated data to the world.\nElectronic lab notebook (for easy research data management and collaboration) seamlessly integrated with our publishing platform - to further streamline data sharing and publish \u201con-the-go\u201d - in just one click. \nSocial network layer, where open discussions and research review will be fostered.\nData verification layer that scores the dataset quality, uniqueness etc.\nTokenization system that will allow to reward researchers\u2019 contributions to the system with reputation and tokens.\nKnowledge synthesis layer - cherry on the top and our ultimate goal. We are planning to utilize growing AI capabilities for extraction of non-obvious patterns from the large corpora of scientific data.\nWe aim at creating software that will make principles of FAIR (Findable, Accessible, Interoperable, Reusable) data a default in scientists\u2019 daily routine. Our mission is to make research data AI-friendly and openly available for reuse and collaboration by academic researchers, the industry and the public.", "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": "We are trying to return ownership of the data to those who actually do research - the scientists, and to promote collaborative decentralized research.  We are also trying to make high-quality data available to all scientists around the world, including those from the developing countries that may not have the access to the top technological facilities.", "hidden": true, "question": "How does your project support the mission or goals of DeSci?", "questionId": 9}, {"type": "paragraph", "answer": "All grants will be used for the further development of the platform. ", "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": "yiiwz5kEbdwog+TjQgv2ic6shND4aFzXiFofHfa1F0o=", "encryptedSymmetricKey": "cd3aff8d5949f11ac600807125e4fbd4b8e0b5971238176f52fca368718649c9a4ce7af51d2d58f2fde8ea507516ab0476677a0c171dde7c2160f65cb1292e6ca494cbbecb63bd16f9306e8c3e50f2e009fe880473363f4c9f0de85ebf22d7a3c22e6a527b2b697c266940f39dff7822e925fe5eb1623f3e76ef020551eac920000000000000002078db5f634c7c132a0f0ddc6c27855f90401df80d2d12f3d0bc050929e7f4276168991a74656f33ebf589edc14d4085ab"}}, {"type": "paragraph", "answer": "We have created the dataset search engine and are deploying it for beta-testing (and are actively looking for beta-testers!)", "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": "![sci2sci roadmap & timeline](https://gitcoin.mypinata.cloud/ipfs/bafkreidqbhiq6i27qcxbylkrjirvkr4gizfs763dvpbtaxlcfepc4ok4xm)", "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": "CsKY07AqgisvZJ3JH4Yv2+WKOSZ6ErQVbJIaIY8rO9s=", "encryptedSymmetricKey": "46dc822956e999ce52f61686b875d4cdcbf13b9aec710de258c89efb76d0c3232b902852216fc3cff75a15d6d0d73d079e903e6ea8ed211a66d011c7c56bd8b3952276baa680cafccd0d769327df60eb25e355771f366bf2e4dcba13c26f79af37c51c167a9a0cb5bdc041a221a9b59f90d2d27a3c1e25700c137e72615885d500000000000000202ba65804f6c60d95fe005045cbfa9c6e8def2424afde9e240cf08c7854004f33d0921d2768ddbd95ad8fda60111cf8a4"}}], "project": {"id": "1:0x03506eD3f57892C85DB20C36846e9c808aFe9ef4:724", "title": "sci2sci", "logoImg": "bafkreihznbsptlzto7xez7m67po6xrxyigghfvxcmvsugeiqtxt3gg3mgm", "metaPtr": {"pointer": "bafkreifsanoekd6w7iu3ka42hp7vzu5ujwa7waw6kgleggqwl64odc3eyi", "protocol": "1"}, "website": "https://www.sci2sci.com", "bannerImg": "bafkreidqbhiq6i27qcxbylkrjirvkr4gizfs763dvpbtaxlcfepc4ok4xm", "createdAt": 1682078966670, "userGithub": "anlibertine", "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..v7zWvndTRXlR6X9j9jnBnXFN3FuDIZII2P2ZWq7alT_0erplxDzN2bPtiQgx8R-3u73sWKs1gF5vk8NG65HdBw", "type": "Ed25519Signature2018", "created": "2023-04-21T12:07:46.147Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-04-21T12:07:46.147Z", "expirationDate": "2023-07-20T12:07:46.147Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xa8F96f0fdC54301c55D8dF00fCD5139B29Bf3458", "hash": "v0.0.0:Auh+j4p+qGsaHyTssqMgQckB3DYx8nbyh9/CfmAX2rY=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#sci2science"}}}, "description": "**Sci2sci** - \u201cscientist-to-scientist\u201d - is a project that builds infrastructure for decentralized data sharing between researchers. \n\nWhile the Internet has allowed an easy peer-to-peer information exchange adopted by multiple industries and users worldwide, the science ecosystem is largely acting as if the last 30 years of telecommunication has never taken place. Academic knowledge nowadays is still siloed in pdf-formatted journals and hidden behind the paywalls. Moreover, original datasets are often left unpublished due to the lack of incentives to release raw data into public repositories. Preparing data for publication takes hours of effort and does not pay off, and finding the relevant data online is also hard due to poor annotation and inefficient search software. \n\n\nWe at sci2sci are building the following modules to update science:\n- **Search engine** for structured data (it\u2019s like Google, but for .csv files, Excel spreadsheets etc.) to make use of the data that has already been published but spread all over the Internet. This module is almost finished (short demo [here](https://youtu.be/O2MfVcRD1gc?t=33)) and we are looking for beta testers, please [subscribe](https://www.sci2sci.com/subscribe)! \n- **Publishing platform** for research data - to release high-quality, well-annotated data to the world.\n- **Electronic lab notebook** (for easy research data management and collaboration) seamlessly integrated with our publishing platform, to further streamline data sharing and publish \u201con-the-go\u201d - in just one click. \n- **Social network** layer, where open discussions and research review will be fostered.\n- **Data verification** layer that scores the dataset quality, uniqueness etc.\n- **Tokenization system** that allows to reward researchers\u2019 contributions to the system with reputation and tokens.\n- **Knowledge synthesis** layer - cherry on the top and our ultimate goal. We are planning to utilize growing AI capabilities for extraction of non-obvious patterns from the large corpora of scientific data.\nWe aim at creating software that will make principles of FAIR (Findable, Accessible, Interoperable, Reusable) data a default in scientists\u2019 daily routine. Our mission is to make research data AI-friendly and openly available for reuse and collaboration by academic researchers, the industry and the public.\n\nOur recent pitch video can be found [here](https://youtu.be/bsXzeOA723Y).\n\nOur larger vision and inspiration is described in this [article](https://medium.com/@leery.rowdy/notes-on-web3-science-from-analogue-to-ai-powered-digital-science-85aef529f2a).\n\nCore team: [Angelina Lesnikova](https://www.linkedin.com/in/angelina-lesnikova/), PhD in Neuroscience; [Valerii Kremnev](https://www.linkedin.com/in/vk2lndx/), Engineering manager.\n\nAll funds we\u2019re currently raising will be used for the sci2sci platform development.\n\nWe are incredibly thankful to almost 200 people who have supported us on Gitcoin so far! We are proud to share our progress with you on Github and social networks, and very happy to provide you with privileged early access to the platform. \n\n## Here you can see our search explainer video:\n[![Sci2sci search explainer](http://img.youtube.com/vi/O2MfVcRD1gc/0.jpg)](http://www.youtube.com/watch?v=O2MfVcRD1gc \"Sci2sci search explainer\")\n", "lastUpdated": 0, "projectTwitter": "sci2science"}, "recipient": "0xa8F96f0fdC54301c55D8dF00fCD5139B29Bf3458"}}