
Worked on the zooniverse/front-end-monorepo repository to redesign the classification submission workflow, focusing on improving alignment with Subject Groups semantics and enhancing data quality. The approach involved simplifying the data payload by submitting only constituent subject IDs, removing subject group IDs from the submission process. This change reduced data structure complexity, clarified downstream analytics behavior, and improved integration efficiency. Updates were made to documentation, including README files, to reflect the new data model and submission behavior. The work was implemented using JavaScript and React, demonstrating a focus on front end development and laying the groundwork for scalable handling of Subject Groups.
January 2026 monthly update focused on refining the classification submission workflow to better align with Subject Groups semantics and improve data quality. Key changes reduced payload complexity and clarified behavior for downstream analytics and integrations.
January 2026 monthly update focused on refining the classification submission workflow to better align with Subject Groups semantics and improve data quality. Key changes reduced payload complexity and clarified behavior for downstream analytics and integrations.

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