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Greenblocks Master Thesis Defense

Intro

❓ Why

  1. Problem: We need to sale and make more efficient actionnable solutions for the climate crisis.

    • Voluntary carbon market: Puts a price on polluting behavior (externalities) at a goods/service producer or end consumer.
    • Carbon accounting is hard: like traditionnal accounting it is prone to errors and fraud.

  2. Opportunity: Blockchain technology can be key in increasing transparency and bringing real relevancy to the carbon accounting process. to be worked on

    • Easier standardization and transparency of data reporting and footprinting process
    • At the blockchain-use level (emissions from using the technology)
    • But also at a more general scope (using blockchain onboarded real world data as behavior groundtruth for accounting)

  3. Issue: First Generation Blockchain Technology is extremely energy intensive and sheds negative connotation to the ecosystem. PoS reduces by 99.9% the carbon externalities

    • We have to provide new incentives for moving the ecosystem away from PoS.
    • We may then more clearly debunk the "blockchain is energy waste" argument.

💡 What

  • Putting accountability tools in the hands of end users (invest funds, daos, etc) may shine a more relatable light on the energy consumption and emissions of some networks -> Individual user-level carbon footprint.
  • We will build a proof-of-concept tool enabling users to measure their blockchain-use emissions and offset them transparently directly onchain
  • This is a first step showcasing how DLTs can help the footprinting and offsetting process, starting with the simpler and accessible/automated data-use-case of user-network interaction data.

🧰 How

Two high-level components:

  1. User interface:

    • Secure login for personalized data
    • Visualize usage metrics and historical emissions
    • See overall footprint
    • Guide the user in the offsetting process

  2. Backend logic:

    • Emission Attribution Module
    • Automatically fetches users data

Methodology Process:

  1. Emission Attribution Module
  • Review litterature for existing blockchain accounting methodologies
  • Iterate on the development of the attribution model by interviewing experts in the field
  • Implement and compare the models on realistic user data
  • Select a final model(s) to be used in the PoC tool.
  flowchart LR;
      review(Review litterature) --> iterate(Iterate on Attribution Model) --> implement(Implement the Models) --> compare(Comparison of the models) --> select(Select a final model for the PoC);
      iterate --> interviews(Industry experts & academia interviews) --> iterate;
      comparison --> generate(generate realistic user data)
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  1. Proof-of-concept WebApp

  • Connect with third party data providers:

    • Emissions data (CCRI HTTP API)
    • Blockchain user data (Alchemy SDK)
    • Blockchain network data (Blockchair HTTP API)

  • Build reporting frontend:

    • Wallet sign-in
    • User metrics reporting (usage & footprint)

  • Build offsetting frontend:

    • Integration with Klima offsetting flow
    • 1-click buy of Klima token + offset

  • Host frontend and backend on cloud server