metadata: {"type": "project", "title": "DeSci Landscape Analysis", "logoImg": "bafkreiasmjjuoufej2tjncr3ksok5urozowg3ajygs2hjse4ogw7eajtli", "website": "https://mirror.xyz/erinmagennis.eth/rSAHHVavkVHVqrKsp9C0w-GScJzKcJMnGxYBw0IrQUg", "bannerImg": "bafkreigogxpqukalsjgg2ynowuzieuwean7thdar77em5wflqr3a4toftm", "createdAt": 1699453162725, "credentials": {"twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..14v0SmKemdrW_LOwwWy5AVVTRCg4QYrAZLtX4gr2rmEoiB4G9FjB_7GfGndUYspjrzLTPCfGdmU9jmGol2dMAw", "type": "Ed25519Signature2018", "created": "2023-11-08T14:22:48.829Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-11-08T14:22:48.829Z", "expirationDate": "2024-02-06T14:22:48.829Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x41B0B75802B25FbC14E0157F9341473843c28e1e", "hash": "v0.0.0:F2YdcvB8ZmSQk8OG0caoJhX8iU7tggoE9zcIvl4X4rk=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#0x_FranciscoD"}}}, "description": "The results of a survey from talentDAO and DeSciWorld shed light on the impact Gitcoin Round 15 crowdfunding can have on decentralized science (DeSci) organizations and ecosystem development. We explored what these projects are and what they achieved using the funds received.\n\nCheck the results here: https://mirror.xyz/erinmagennis.eth/rSAHHVavkVHVqrKsp9C0w-GScJzKcJMnGxYBw0IrQUg\n\nThis was the first phase of the DeSci Landscape Analysis, which aims to understand what the decentralized science movement is and what impact it has in the scientific ecosystem. In further phases of this study, we plan to expand these efforts to uplift the DeSci ecosystem.\n\nRight now we are focusing on phase II where we'll survey as many DeSci projects as possible to create a new ecosystem map. We'll also pull data from Twitter API to understand how these projects -and their followers- relate to each other. Our analysis will include:\n\n- Network analysis \ud83c\udf10\n\n- Project clusters \ud83d\udd20\n\n- Sociodemographic data \ud83d\udc64\n\nIf successful, we could allow cross-pollination between projects and attract new students and researchers to the decentralized science ecosystem. All results will be published accessible to everyone so we can include new voices to further discussions about DeSci.\n\nIn GR18 we got enough funds to cover our operational costs (thank you all \u2764\ufe0f). The funds we raise in this round will be used for publishing and promotion of this study in events like science congresses or web3 events.\n\nTeam:\nCarolina Menchaca (https://twitter.com/gingerheart86)\n\nErin Magennis (https://twitter.com/erinmagennis)\n\nFrancisco D\u00edaz (https://twitter.com/0x_FranciscoD)\n\nDr. Lukas Weidener (https://twitter.com/lukasweidener)\n\nA joint effort between talentDAO (https://twitter.com/talentDAO_) and DeSciWorld (https://twitter.com/DeSciWorld)", "logoImgData": {}, "bannerImgData": {}, "projectTwitter": "0x_FranciscoD"}
name: DeSci Landscape Analysis