Open Data Science Live Session, Ep1

ย 
โ˜‘๏ธ
-- PRE-CALL CHECKLIST ---
General Discovery
Researched by: Yuzuf, Humpty Calderon
About the event
  • Project: Crypto Sapiens, Gitcoin, BrightID, Orange Protocol
  • Guests: Humpty Calderon, DisruptionJoe, Evan Powell, Adam Stallard
  • Topic: Sybil slayers: predicting and squelching sybil attacks with open data
  • Event schedule: October 13, 2022 10:00 AM PDT (17:00 UTC)
  • NOTE: Joining the Twitter Spaces event will not work from desktop app. You must use the mobile app.
About our guest speakers
Q&A
  • Key messages:
    • Together we can push back on Sybils and enable a better future
    • Sybil resistance is crucial for web3 / crypto
    • Open Data Community
    • Open Data Hackathon
โ€”-------------------------------------------------
  • What are Sybil attacks, why are they challenging, can they be prevented?
  • What do we get when (if) we defeat Sybils?
  • Why is it important to address this issue?
notion image
  • Why do Sybils attack?ย  Who are these people?
  • How do you make it cheaper for the defenders to defend than for the sybil attackers to attack?
  • What are the areas that we all could collaborate to help prevent & discover Sybil?
    • Trust score or bonus for quadratic funding
    • Finding and curating useful data sets
  • How can identity and reputation (proof of personhood) technology help develop sybil resistance?
    • Why is Gitcoin sponsoring the OpenData Hackathon?
      • Tactically - we really want and need to learn from others
      • Strategically - we are shifting our focus to enabling others to better fund their communityโ€™s shared needs
    • What is next for the Open Data community?
      • Thinking of working on a landscape and a comparison of web3 to web2 data
      • Differences include:
        • Public data; positive vibes; and ability to use blockchain for trustless collaboration
    About the ecosystem
    • BrightID, DID, VCs, ntNFTs, zkProofs
    Anything else?
    Resources
    References
      Sources
      • List every source used to curative the information in this outline. including blogs, tweets, sources of images, websites, youtube videos, interviews, podcasts, books, etc.
      ย 

      Open Data Science Live Session, Ep1

      ย 
      โ˜‘๏ธ
      -- PRE-CALL CHECKLIST ---
      General Discovery
      Researched by: Yuzuf, Humpty Calderon
      About the event
      • Project: Crypto Sapiens, Gitcoin, BrightID, Orange Protocol
      • Guests: Humpty Calderon, DisruptionJoe, Evan Powell, Adam Stallard
      • Topic: Sybil slayers: predicting and squelching sybil attacks with open data
      • Event schedule: October 13, 2022 10:00 AM PDT (17:00 UTC)
      • NOTE: Joining the Twitter Spaces event will not work from desktop app. You must use the mobile app.
      About our guest speakers
      Q&A
      • Key messages:
        • Together we can push back on Sybils and enable a better future
        • Sybil resistance is crucial for web3 / crypto
        • Open Data Community
        • Open Data Hackathon
      โ€”-------------------------------------------------
      • What are Sybil attacks, why are they challenging, can they be prevented?
      • What do we get when (if) we defeat Sybils?
      • Why is it important to address this issue?
      notion image
      • Why do Sybils attack?ย  Who are these people?
      • How do you make it cheaper for the defenders to defend than for the sybil attackers to attack?
      • What are the areas that we all could collaborate to help prevent & discover Sybil?
        • Trust score or bonus for quadratic funding
        • Finding and curating useful data sets
      • How can identity and reputation (proof of personhood) technology help develop sybil resistance?
        • Why is Gitcoin sponsoring the OpenData Hackathon?
          • Tactically - we really want and need to learn from others
          • Strategically - we are shifting our focus to enabling others to better fund their communityโ€™s shared needs
        • What is next for the Open Data community?
          • Thinking of working on a landscape and a comparison of web3 to web2 data
          • Differences include:
            • Public data; positive vibes; and ability to use blockchain for trustless collaboration
        About the ecosystem
        • BrightID, DID, VCs, ntNFTs, zkProofs
        Anything else?
        Resources
        References
          Sources
          • List every source used to curative the information in this outline. including blogs, tweets, sources of images, websites, youtube videos, interviews, podcasts, books, etc.
          ย