Information Broker Consensus Detection System
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Solution Overview
Problem
Conventional social networking and prediction markets are inadequate for determining quality information from noise and do not provide sufficient incentives for users to contribute valuable insights, nor do they allow users to define the issues being voted on, limiting their ability to detect consensus early and advance original ideas.
Innovation Solution
A distributed system that allows users to submit and vote on original observations and opinions, providing incentives for quality contributions and allowing users to define the issues, with mechanisms for monitoring voting trends and adjusting the value of contributions based on consensus strength and user expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional social networking and prediction markets are used, then users can share ideas and compete, but the system cannot distinguish quality information from noise and lacks sufficient incentives for valuable contributions
Solution Approach 1:
The system implements feedback mechanisms where users receive notifications and updates based on voting patterns and consensus development. The information broker provides feedback to users about their contributions' impact and facilitates continuous interaction based on evolving consensus, allowing quality information to be distinguished through iterative validation
Solution Approach 2:
An information broker acts as an intermediary between users, managing the complexity of consensus detection and information quality assessment. The broker synthesizes voting data, identifies consensus patterns, and presents refined information to users, filtering noise from valuable contributions through centralized analysis
2Adaptability or versatility
If conventional prediction markets are used, then users can vote on predefined issues, but users cannot define the issues being voted on, limiting original idea advancement
Solution Approach 1:
Users independently define issues, observations, and predictions without requiring system administrator intervention. The system provides self-service capabilities where users can create their own voting topics, set parameters, and manage their contributions, enabling original idea advancement while maintaining system functionality through user autonomy
Solution Approach 2:
The system provides universal functionality that handles both user-defined issues and traditional prediction market scenarios. The information broker and voting mechanisms are designed to accommodate multiple types of contributions (observations, predictions, opinions) and issue definitions, making the system versatile without requiring separate management systems
3Speed
If conventional systems are used, then basic voting can occur, but early consensus detection is limited and decision-making is delayed
Solution Approach 1:
The system performs preliminary analysis of voting patterns and consensus development in real-time as votes are cast. The information broker continuously monitors voting data and prepares consensus assessments ahead of formal decision points, enabling faster detection of emerging consensus and reducing overall decision-making time
Solution Approach 2:
The system replaces manual consensus analysis with automated information broker algorithms that continuously process voting data. This substitution of mechanical human analysis with automated computational analysis enables real-time consensus detection and significantly speeds up the identification of emerging agreements
4Productivity
If conventional prediction markets are used, then trading can occur on established events, but the system lacks mechanisms to incentivize and reward valuable user contributions
Solution Approach 1:
The system implements feedback loops where users receive recognition and potential rewards based on the value and accuracy of their contributions. The information broker tracks contribution impact, and the system provides feedback to users about their standing, motivating continued valuable participation through visible recognition and incentive mechanisms
Data Source
AI summary
A system and method is provided that provides an early indication of consensus of opinion among a number of users regarding an event or observation indicated by a user. The opinion can be interesting to an information consumer, for determining the outcome of the consensus relating to the event or observation, or for performing surveillance or survey of a particular issue or subject. Such recognition of early events or observations can be useful in different areas, such as healthcare, finance, etc., where initial observations, if provided early, allow resulting decisions to be made much earlier. The opinion can, for instance, be used as an early indicator of problem with a product, company, etc. that would permit an information consumer to perform an action at a much earlier point than if he/she relied on traditional sources of information. Thus, such opinion information can be invaluable as a tool for monitoring events.