Data Scoring and Custom Data Visualizations

When participants enter options in the data submission process, the Data Scoring enables the calculation of a score based on a customizeable formula for the data point. This can include positive/negative weightend values for inputs as well as median, avarage, and other mathematical operations, and is used in projects to calcualte a quality score of an observation of or a location. The results can be integrated in a project-spcific data visualization as an interactive  map overlay. 

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  • Artificial intelligence for Citizen Science Apps. Read more about SPOTTERON AI system here

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  • We were happy to join the European Ocean Days in Brussels with the COSEA App presentation. 

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