Hivemapper Proposes MIP-24 to Enhance Mapping Rewards System

The Hivemapper Network is proposing a significant update through Map Improvement Proposal 24 (MIP-24) aimed at enhancing its rewards system to better align with customer demand for high-value map layers. The proposal emphasizes the need for dynamic map features such as road construction updates and temporary traffic changes, which are deemed more valuable than traditional street-level imagery. With the introduction of the Bee, a new mapping platform equipped with advanced technology, the network aims to shift its focus from merely collecting imagery to delivering real-time, accurate map data. This change is crucial as it allows contributors to be rewarded based on the quality and timeliness of the data they provide rather than the quantity of images uploaded.
The proposal outlines three key changes to the current rewards structure. Firstly, it introduces a hex-based contribution model that rewards contributors for coverage in hexagonal areas rather than the number of images uploaded. Secondly, it supports 24x7 mapping capabilities, enabling contributors to capture data at all hours, thus increasing the potential for dynamic event capture. Lastly, an upload speed score will be implemented, incentivizing contributors to upload data as quickly as possible, reflecting the increasing customer demand for real-time information. This new scoring system will calculate the time taken between data collection and upload, rewarding faster uploads with higher scores.
The implications of MIP-24 are significant for both contributors and customers. By focusing on hex coverage, real-time data collection, and faster uploads, the Hivemapper Network aims to enhance the overall quality and freshness of its maps. This shift not only aligns the rewards system with the evolving needs of customers but also encourages contributors to optimize their mapping efforts. As the proposal enters a comment period, active community members are invited to engage and provide feedback, ensuring that the final implementation reflects the collective insights of the Hivemapper community.
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