EcoPulse
  • 📖Executive Summary
  • ⏱️Why Local Skies Matter More Than Ever
  • ☪️Participatory Climate Sensing at Scale
  • ⏳System Overview: Roles, Data Flow, and Incentives
    • Data Contribution & Air Quality Mapping
    • Weather Prediction & Rewards
    • Decentralized Validators for Data Verification
    • Gamified Engagement & Community Building
  • 🖥️The Technology Behind EcoPulse
  • 🖼️Real-World Applications of EcoPulse
  • 📌Decentralized Governance: Community-Driven Decisions
  • 💊EcoPulse's Unique Advantages
  • 🔌Participation Incentives
  • 💸Tokenomics
  • 🏁Roadmap
  • ❓FAQ
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  1. System Overview: Roles, Data Flow, and Incentives

Weather Prediction & Rewards

Making Local Weather Predictions

Every user can submit their forecast for the local weather conditions in the coming 24 to 48 hours. These predictions can cover a variety of elements, including temperature, rainfall, wind speed, or specific weather events (e.g., storms or fog). The platform encourages users to rely on their own observations, patterns they notice in their environment, or even historical weather data to make these predictions. The goal is to crowdsource localized forecasting, leveraging the diverse knowledge of EcoPulse’s global user base.

Accuracy-Based Rewards

The key principle behind EcoPulse's weather prediction feature is rewarding accuracy. Predictions are evaluated based on how well they align with the actual weather conditions that unfold. When a user’s forecast proves to be correct, they earn EcoPulse tokens ($EPT). The reward is directly proportional to the accuracy of the prediction, providing an incentive for users to make informed, thoughtful forecasts. This system encourages greater engagement, as users are motivated to improve their forecasting skills and contribute to the platform’s overall data collection process.

Leaderboards & Community Engagement

To add a layer of social interaction, EcoPulse includes a leaderboard that ranks users based on their prediction accuracy. This creates a competitive yet collaborative environment where users can track their progress, challenge others, and refine their forecasting abilities. The leaderboard is updated regularly, making it easy for users to see how they compare to others within their local community or across the global network. This adds an element of gamification to the platform, which helps sustain long-term participation and increases the accuracy of the data collected over time.

Incentivizing Continuous Participation

The reward structure encourages users to keep participating over time, reinforcing EcoPulse’s long-term engagement strategy. As users submit more predictions and refine their forecasting skills, they can earn additional rewards and climb higher on the leaderboard. This ongoing participation helps EcoPulse continually collect data that improves weather prediction models and enriches the platform’s overall value for users and the broader environmental community.

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Last updated 1 month ago

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