City Resiliency Sharing System with Granular Access Controls
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Solution Overview
Problem
Cities face challenges in synthesizing and sharing large amounts of resilience data effectively due to siloed data sources, technological barriers, and regulatory issues, hindering intra-city and inter-city collaboration and response to natural disasters and other threats.
Innovation Solution
A city resiliency sharing system that enables secure, granular access to resilience data and strategies across municipalities, using executable code instructions to collect, analyze, and share data through interactive interfaces, clustering views, and interactive maps, facilitating collaboration and real-time threat management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If resilience data is collected from multiple municipalities, then the quantity and diversity of available information increases, but the complexity of data synthesis and sharing increases
Solution Approach 1:
The system segments resilience data into distinct categories (electronic documents, geolocation data, attribute values) and organizes them in a structured database format. Each data element is tagged with metadata including municipality identifiers, disaster types, and access control parameters, enabling modular retrieval and synthesis without overwhelming system complexity.
Solution Approach 2:
The patent introduces an intermediary processing layer that automatically matches search criteria with stored resilience data, performs access control verification, and synthesizes results from multiple municipalities. This intermediary system handles the complexity of cross-municipality data integration, shielding users from the underlying data heterogeneity while enabling comprehensive information retrieval.
2Reliability
If access controls are implemented for resilience data, then data security and privacy are improved, but the ease of data sharing and collaboration deteriorates
Solution Approach 1:
Access control parameters are established in advance for each resilience data element, including municipality-specific permissions, user role definitions, and data classification levels. This preliminary configuration enables automatic access verification during data retrieval operations, securing sensitive information while maintaining smooth collaboration for authorized users without requiring real-time security negotiations.
3Reliability
If granular access control is implemented, then data protection is improved, but the system complexity increases
Solution Approach 1:
The system implements granular access control by assigning specific permission attributes to individual resilience data elements rather than applying uniform restrictions across all data. Each electronic document, geolocation dataset, or attribute collection can have customized access parameters tailored to its sensitivity and relevance, allowing precise data protection while maintaining operational simplicity through automated permission checking based on user profiles and data classifications.
4Speed
If real-time search and analysis capabilities are provided, then response speed to threats is improved, but the computational resources required increase
Solution Approach 1:
The system pre-processes and indexes resilience data during ingestion, organizing electronic documents, geolocation information, and attribute values into searchable structures with predefined filters for disaster types, municipalities, and time periods. This preliminary organization enables rapid query execution during threat response scenarios, delivering real-time search capabilities while minimizing computational overhead during critical analysis phases by avoiding redundant data processing.
Data Source
AI summary
Systems and techniques for sharing data related to city resiliency are described herein. The user interfaces described herein, such as electronic readers, clustering visualizations, and/or map visualizations, may provide human users with tools for effective workflow processes to share and analyze data related to city resiliency. Strategies to detect potential city resiliency issues and/or resilience data may be automatically shared, investigated, executed, applied, and/or used by entities. Strategies and/or resilience data may be modified to redact sensitive information and/or configured through granular access controls for sharing. Electronic communications may be automatically ingested and shared through the city resiliency sharing system.