metadata: {"signature": "0x19c8023424865f24a97a34560daf5ac3b6773778f577e26f2f445e085e1485771e7d708e2d89a7442f9f5cf104739c14eaae26ced415628fda128983aac2bb4d1c", "application": {"round": "0x7492a8c4ed29b1f1559888bd832fae5d33e10370", "answers": [{"type": "email", "hidden": true, "question": "Email Address", "questionId": 0, "encryptedAnswer": {"ciphertext": "9pJUaLFZQ0kFtTcyb8S73ydYyyDJBvu8LbVLOusALTm4NxqTFyDsAW5SQZllSsRW", "encryptedSymmetricKey": "f2fd8af899992ef7adffbdb3ccccf174f53dfd554a0e5352bfbb32ac8054f39ab99a3c7fa886021761e2bbf5c084c1062c8421913059ae8db6b581cd90f9af2b1ebf86246f763afd6ef6e57d11ac51296a537a5dd0c5fa981e4b1320395980a5f6777bccc7480cb8e83bf9e1a92d7c5df751226c13751dc85fe8b4d44d25cdc90000000000000020a3a10e1120a2c9111661cf8a079d790127c775fe6da1f350e6c2bf46df01b517fbe8f36268572d5e70d16ae4b8af94ac"}}, {"type": "paragraph", "answer": "This tool is currently being used by the TEC Coordination team to help them facilitate QF grant rounds and add SME signal boosting to their QF results. Direct feedback from that team is being used to drive the development of the app.\n\nWide success can be seen as the adoption of this tool by many communities that are facilitating quadratic funding and wish to apply a signal boost to the donation weights. It can also be used just for data analysis on donation datasets and alternative funding mechanisms. It can also be used for educational and research purposes. ", "hidden": false, "question": "What impact do you hope to have (or have had) on the Gitcoin Community with this project? How do you measure your impact? (e.g. viewers, forks, branches, likes)", "questionId": 1}, {"type": "multiple-choice", "answer": "Both (mixed)", "hidden": false, "question": "Are you applying for funding for work done, proposed, or both?", "questionId": 2}, {"type": "paragraph", "answer": "\n\nThis work was started in June 2023. An update on the progress and request for funding can be found here: https://forum.tecommons.org/t/4-month-te-data-science-fellowship/1287/8 \n\nWork can be tracked here: https://github.com/CommonsBuild/alloha/tree/ygg ", "hidden": false, "question": "If you have work completed, please describe it below and include links where possible:", "questionId": 3}, {"type": "paragraph", "answer": "I expect to work on this project full time for the remainder of the year. I'm actually expecting to allocate 336 hours of work to this project in the Fall of 2023.", "hidden": false, "question": "If you have work you are planning to do, please describe it below and include estimates of how much time (in hours) you expect it will take: ", "questionId": 4}, {"type": "paragraph", "answer": "This work has been funded by Griff Green for a total of about $4,000USD.", "hidden": false, "question": "Has this work been previously funded? If so, by who and for how much? ", "questionId": 5}, {"type": "multiple-choice", "answer": "Yes", "hidden": false, "question": "Are you working on this as an individual?", "questionId": 6}], "project": {"id": "424:0xDF9BF58Aa1A1B73F0e214d79C652a7dd37a6074e:77", "title": "Alloha: A Data Science Web Framework for Tunable QF", "logoImg": "bafkreih2zo5gbxrbjqk2wgaptlxuusdgw4rirjq2zkbk7w4iaxq2x65utm", "metaPtr": {"pointer": "bafkreiepfi3tc4vffdnubpewbpe6pg6xpde5col66n6ovaezsumk55owgi", "protocol": "1"}, "website": "https://github.com/CommonsBuild/alloha/tree/ygg", "bannerImg": "bafkreifqstsac5r364l73vflxmovan67t7v63uut6wce6utmdrmlt6jmzq", "createdAt": 1695078924474, "userGithub": "linuxiscool", "credentials": {}, "description": "Alloha is an open source web based data science framework for designing, exploring, and evaluating public goods funding mechanisms. The work draws inspiration from the paper \"A flexible design for funding public goods\" and is a software implementation of the concepts discussed in that paper. The work is driven by data visualization, creating interactive plots for each data structure in the fdfpg framework.\n\nAdditionally, the project implements the concept of 'Tunable QF' in which the weights of donations can be boosted according to token holdings of donors or other qualifying credentials. The TEC is using this technique to boost the weight of TE subject matter experts. But the tool can be used generally for processing of donation datasets.\n\nThe development of this application is being partially funded by the Token Engineering Commons.\n\nThe author is seeking supplementary funding to be able to continue the work and develop the framework into an open source web application.", "lastUpdated": 0, "projectGithub": "commonsbuild", "projectTwitter": "tecmns"}, "recipient": "0x763d7D362B59aeA3858a92a302e18cd41b1252d4"}}