{"signature": "0xada33a9e0b65a12ff987260bee55bd8c802385abbe63d3e61d0ee61cbe59916a539235b59a6106f4506f342f1105f66009dacb99d672d8708e5cea328fd192311b", "application": {"round": "0x6e8dc2e623204d61b0e59e668702654ae336c9f7", "answers": [{"type": "email", "hidden": true, "question": "Email Address (for us to share updates and contact you directly)", "questionId": 0, "encryptedAnswer": {"ciphertext": "K8QA8aiCOyQj/h+tfLjhaOrSTJHjc2FlidaKZ03LmJmSppZkY93QqgCeHy4lK/kb", "encryptedSymmetricKey": "ca031611bf9448f26462fd3598ed8d7694be278867b16a6ac688798bd2d6119ded9c78bd799d6fe2838de1eec06e660fa640d51b24916ad2a0d29dae06d2d7b743dcfdbbd3c428f79e8a280b87f6eda83a2fc6fa95ceee71ac7eea8d88991087fb22f0ac5934fc49b2055dcc8d58947fd9c16550757041e724033a2b9fc733b90000000000000020f687332d052542c5f785740c4b6edf942b66d1afd2b4c07219ac8c4aa6cbeee0dfdf0067c059f6c788c0b85632e9b6ad"}}, {"type": "short-answer", "hidden": true, "question": "Telegram username", "questionId": 1, "encryptedAnswer": {"ciphertext": "ToAWJVey+H3ZHGSZSHlypmqE5CZjwuX7W74h/Y/+W5g=", "encryptedSymmetricKey": "ed78996e15abaa00ba14e15fd7ecc637b9e2d76e2ca165da28d21bf8e3c0b192addc6fde7c5d6f2d122086c5ea1a8d0cc235854971031d9c25373605df87ffde62c68ab613c2e0632229606b088bf746dc0eb5f78077d47c5186aa79b4828b8ca7d204acd9a2aab7782fcb16b04d3dde307e9e667eb547aaf860b2a43c9b943d0000000000000020c2e03adaeacec0999d3c06d8937da697216f67e1cf568f99a9def6d522a289164c9ea3a212c0ceaafd7a928b643e5a86"}}, {"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": "N/A", "hidden": false, "question": "Previous project funding sources (VC, grants, token sales, etc)", "questionId": 3}, {"type": "number", "answer": "0", "hidden": false, "question": "Total prior funding for project in USD", "questionId": 4}, {"type": "number", "answer": "3", "hidden": false, "question": "Number of team members", "questionId": 5}, {"type": "paragraph", "answer": "Ronen Tamari, @rtk254\nDaniel Friedman, @InferenceActive\nShahar Oriel, @ShaRefOh", "hidden": false, "question": "Profiles or socials of other main team members publicly associated with project", "questionId": 6}, {"type": "number", "answer": "4", "hidden": false, "question": "How old is the project? (Months)", "questionId": 7}, {"type": "paragraph", "answer": "# Project Description\n\nWhile Decentralized Science (DeSci) is a promising approach towards effectively broadening\u00a0*access* to scientific research, the problem of\u00a0*making sense* of the volumes of new information being published in DeSci and traditional science remains unsolved. \n\nTraditional curation methods like peer-reviewed journals are failing to keep pace, resulting in unprecedented information overload and knowledge fragmentation. We contend that making sense of DeSci research requires open access to diverse sources of *scholarly sensemaking data*. Sensemaking data are the digital traces of sensemaking processes, including explicit annotations (tags, votes, ratings) and commentary made by researchers, as well as implicit behavioral data generated through app usage (reference managers, etc). The problem is that these sensemaking traces are currently scattered and siloed across a multitude of apps and formats and increasingly enclosed by platforms for profit (e.g. Twitter). We propose Open Source Sensemaking, an interoperable and decentralized annotation network, enabling researchers to record, own and share their sensemaking data, thus contributing to the network while remaining resilient to platform capture. The shared sensemaking data will greatly benefit individual and collective sensemaking by enabling the development of diverse discovery services, from simple aggregation of reviews and ratings (e.g., \u201cGoodreads\u201d for scientific research) to more advanced AI-augmented scientific intelligence systems.\n\n# Research and development roadmap (what we\u2019ve already done and what we plan to use the funding for)\n\n## Completed\n\n- Initial research, survey and proposal for the problem of sensemaking in science. To be presented at the Metascience 2023 conference (https://metascience.info/)\n    - Resarch and proposal abstract (https://ronentk.github.io/publication/metasci-sensemaking-23/)\n    - An Active Inference Ontology for Decentralized Science: from Situated Sensemaking to the Epistemic Commons (https://zenodo.org/record/6320575#.ZEF6HNLMJhF)\n\n## Next up\n\n- Design of an initial prototype focused on social bookmarking, a simple yet important kind of collective sensemaking; organizing, sharing and curating science-related reading lists along with ratings and reviews. (within 4 months)\n- Incorporation of social graph information using interoperable protocols like Portable Communities (https://www.noo.network/markdown/cp) (within 6 months)\n- Integration with existing DeSci publishing platforms. For example, building an integration for DeSci Nodes (https://nodes.desci.com/) to allow researchers to share their reading lists publicly and discover content shared by others. (within 8 months)\n", "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": "Open and accessible sensemaking data and tools are instrumental for making meaningful progress on multiple key challenges for DeSci, including: \n\n- Accessibility and onboarding of researchers and their professional social graphs\n- Information overload (helping researchers decide what papers to read next and where to focus their research attention)\n- Alternative evaluation mechanisms to traditional peer review, altmetrics (assessment of broader public impacts of scientific research)\n- Supporting large-scale distributed collaborations (centralizing discussions, helping to keep everyone on the same page).\n\nThese challenges are typically viewed separately, and we believe that illuminating a key root cause underlying all of these issues (fragmented sensemaking data) can help direct attention and efforts toward developing more effective solutions.", "hidden": true, "question": "How does your project support the mission or goals of DeSci?", "questionId": 9}, {"type": "paragraph", "answer": "The majority will be allocated towards supporting software developers building the infrastructure. Some funds will be allocated to assist ongoing protocol research efforts.", "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": "DiGqmkSMCboKRArAng2Isifm/bWXtfK+lrEZUWkBEOc=", "encryptedSymmetricKey": "df10cbb706420ed4a92bd776e48eba082ad6624b2fee9aaf2c43b4cecb043d4c85a726ebedff8e579616fceed97b041533b789ff7e53fd6c2454e7b0941670f8089cb983811eff14bcaa81327c5a7a1ac693689bf46e0ca17e5e9fc066aac8b55b9dcdfe7341b92c3364ea0d26e7cdff35aed919e9f4ef6d2fc0f358b5294a8100000000000000204c249da1af84961b89f39b2c8ba0febe6c8eb53245bc9e8bef83448c9a5ffd024321a5c9ee2464583c7ae9913c716c84"}}, {"type": "paragraph", "answer": "Related ongoing project from GR15: https://bounties.gitcoin.co/grants/7588/open-source-attention. \n\nThis previous effort is focused on harvesting existing data from social media, since then we've expanded our research to consider challenges creating and sharing sensemaking data in science.  \n", "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", "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": "9CHJR1RA969EIrRQWH5L9scr3/8LX75IPvVOSo7XxmI=", "encryptedSymmetricKey": "e4b03d82255475cc2238be961088e8c8edf5934cf94d86d55d18cd17726e2917e5e4337cd0df7af7d3e0e693b334f00c8525fe7e1ac162101976d380b6d5fad9a436f98d9a84b221063ca96711e90cb6d7d5972e0f2033f87f056aa97aac58b4af620b7f6933c7b895aa93d1e2510957df9ec8ae529a8bc7478d46430c132d3d00000000000000208e74705125b48ba86f1bd9247c1907246b33d8443f1d5d977e8ee8c6a78fbe884ac8f76fc14987d990469d38d3626c90"}}], "project": {"id": "1:0x03506eD3f57892C85DB20C36846e9c808aFe9ef4:646", "title": "Open Source Sensemaking for DeSci", "metaPtr": {"pointer": "bafkreieeykpu56sfbqhg53hxptjid4ah4cozkhvyioaeqsumci5kk4sbfy", "protocol": "1"}, "website": "https://csensemakers.com", "bannerImg": "bafkreih6or2w45mn5halet7msw7ncix7dvnhch7smd4bmrpl4niiobmorm", "createdAt": 1682014662278, "userGithub": "csensemakers", "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..At94o79BokfSKY4fl1NaU7-7Q1xg-Tw2zanJzk8vNVmWD6mM0zi42eMM6SE5wL7oAWunP9tu0ZWqKETVO5KVBw", "type": "Ed25519Signature2018", "created": "2023-04-20T18:12:48.845Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-04-20T18:12:48.845Z", "expirationDate": "2023-07-19T18:12:48.845Z", "credentialSubject": {"id": "did:pkh:eip155:1:0xbbD107D7717F9D8556aa0abd444Bc8AE6e288956", "hash": "v0.0.0:b+G0TjtkTauvjQhNLnPTXFiIuMnO3mIrG3oOqoLgbTk=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#CSenseMakers"}}}, "description": "# TL;DR \n\nAnnotation protocols and tooling for AI-augmented sensemaking in decentralized science\n\n# Project Overview\n\nWhile Decentralized Science (DeSci) is a promising approach towards effectively broadening\u00a0*access* to scientific research, the problem of\u00a0*making sense* of the volumes of new information being published in DeSci and traditional science remains unsolved. \n\nTraditional curation methods like peer-reviewed journals are failing to keep pace, resulting in unprecedented information overload and knowledge fragmentation. We contend that making sense of DeSci research requires open access to diverse sources of *scholarly sensemaking data*. Sensemaking data are the digital traces of sensemaking processes, including explicit annotations (tags, votes, ratings) and commentary made by researchers, as well as implicit behavioral data generated through app usage (reference managers, etc). The problem is that these sensemaking traces are currently scattered and siloed across a multitude of apps and formats and increasingly enclosed by platforms for profit (e.g. Twitter). We propose Open Source Sensemaking, an interoperable and decentralized annotation network, enabling researchers to record, own and share their sensemaking data, thus contributing to the network while remaining resilient to platform capture. The shared sensemaking data will greatly benefit individual and collective sensemaking by enabling the development of diverse discovery services, from simple aggregation of reviews and ratings (e.g., \u201cGoodreads\u201d for scientific research) to more advanced AI-augmented scientific intelligence systems.\n\n# Why is this problem important?\n\nOpen and accessible sensemaking data and tools are instrumental for making meaningful progress on multiple key challenges for DeSci, including: \n\n- Accessibility and onboarding of researchers and their professional social graphs\n- Information overload (helping researchers decide what papers to read next and where to focus their research attention)\n- Alternative evaluation mechanisms to traditional peer review, altmetrics (assessment of broader public impacts of scientific research)\n- Supporting large-scale distributed collaborations (centralizing discussions, helping to keep everyone on the same page).\n\nThese challenges are typically viewed separately, and we believe that illuminating a key root cause underlying all of these issues (fragmented sensemaking data) can help direct attention and efforts toward developing more effective solutions.\n\n# Research and development roadmap (what we\u2019ve already done and what we plan to use the funding for)\n\n## Completed\n\n- Initial research, survey and proposal for the problem of sensemaking in science. To be presented at the Metascience 2023 conference (https://metascience.info/)\n    - Resarch and proposal abstract (https://ronentk.github.io/publication/metasci-sensemaking-23/)\n    - An Active Inference Ontology for Decentralized Science: from Situated Sensemaking to the Epistemic Commons (https://zenodo.org/record/6320575#.ZEF6HNLMJhF)\n\n## Next up\n\n- Design of an initial prototype focused on social bookmarking, a simple yet important kind of collective sensemaking; organizing, sharing and curating science-related reading lists along with ratings and reviews.\n- Incorporation of social graph information using interoperable protocols like Portable Communities (https://www.noo.network/markdown/cp)\n- Integration with existing DeSci publishing platforms. For example, building an integration for DeSci Nodes (https://nodes.desci.com/) to allow researchers to share their reading lists publicly and discover content shared by others.\n", "lastUpdated": 0, "projectTwitter": "csensemakers"}, "recipient": "0xbbD107D7717F9D8556aa0abd444Bc8AE6e288956"}}