Accountability Management System for Dynamic Carbon Footprint Allocation
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Solution Overview
Problem
Current systems for measuring and reporting greenhouse gas emissions within enterprises are inadequate in reflecting organizational hierarchies and fail to accommodate diverse 'snowflake' patterns, leading to challenges in accountability and investment decision-making, particularly for investors considering environmental, social, and governance (ESG) factors.
Innovation Solution
An accountability management system that determines a responsibility score for investors by calculating an aggregate offset from multiple degrees of emissions data, using a processing engine to allocate fractions of footprints from various nodes and update scores in real-time, allowing for dynamic schema adaptation and machine learning-based reallocation of emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If established systems use fixed data structures to measure and report greenhouse gas emissions, then measurement and reporting can be performed, but the systems cannot reflect complex organizational hierarchies or accommodate diverse 'snowflake' patterns
Solution Approach 1:
The patent implements a dynamic data structure that adapts to different organizational hierarchies and emission scopes. The system automatically adjusts the structure based on the enterprise's specific hierarchy levels (e.g., corporate, division, plant, department) and emission scopes (Scope 1, 2, and 3), allowing it to accommodate diverse 'snowflake' patterns without requiring fixed rigid schemas.
Solution Approach 2:
The system segments the organizational hierarchy into multiple levels (corporate, division, plant, department) and emission scopes (Scope 1, 2, 3), allowing each segment to be configured independently. This segmentation enables the system to handle complex hierarchies by breaking them down into manageable, configurable units that can be assembled to match any organizational structure.
2Measurement precision
If carbon emissions data is tracked at multiple hierarchical levels, then accountability can be fairly distributed, but the system complexity increases significantly
Solution Approach 1:
The patent implements a nested hierarchical structure where corporate-level emissions contain division-level emissions, which contain plant-level emissions, which contain department-level emissions. This nesting allows accountability to be measured and allocated at any level while automatically aggregating up the hierarchy, providing precise accountability measurement without requiring separate independent systems for each level.
Solution Approach 2:
The system provides feedback mechanisms that automatically calculate and allocate emissions accountability at each hierarchical level based on the nested structure. The feedback loop ensures that when data is entered at any level, the system automatically updates accountability metrics at all parent and child levels, maintaining measurement precision while managing complexity through automated calculations.
3Reliability
If real-time updates are implemented when data sources or connections change, then responsibility scores remain accurate, but computational resources and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing the hierarchical relationships and data flow paths between nodes. When data sources or connections change, the system leverages these pre-configured relationships to efficiently propagate updates only to affected portions of the hierarchy rather than recalculating entire responsibility scores, reducing computational energy consumption while maintaining accuracy.
Solution Approach 2:
The system segments the responsibility score calculation into independent modules corresponding to different hierarchical levels and emission scopes. When a data source or connection changes, only the affected segment is updated and recalculated, while other segments remain unchanged. This segmentation reduces the overall computational burden compared to full system recalculation.
4Measurement precision
If diverse emission scopes (Scope 1, 2, and 3) are measured and allocated, then comprehensive accountability is achieved, but the allocation process becomes more complex
Solution Approach 1:
The patent implements a universal allocation framework that handles all three emission scopes (Scope 1, 2, and 3) through the same hierarchical structure and calculation methods. The system automatically determines which scope applies to each emission source and applies appropriate allocation rules, providing comprehensive emissions allocation accuracy while managing complexity through a unified multi-functional approach rather than separate processes for each scope.
Data Source
AI summary
An accountability management system for determining an accountability in terms of a responsibility score for an investor of an enterprise. First footprint for a first node and second footprint for a second node are determined. A first fraction of the first footprint and a second fraction of the second footprint is allocated to the enterprise whose transaction from the first node and the second node defines the first fraction and the second fraction. A first degree, a second degree, and a third degree are determined. An aggregate offset attributable to the enterprise is determined from the first, the second, and the third degree. The responsibility score is determined for the investors based on the aggregate offset. Changes to the data sources, the first node, the second node, or a connection between the first node and the second node leads to updating of the aggregate offset and the responsibility score.