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I will create a community-augmented, interdisciplinary replication database along with an open dashboard that includes search and summary functions for research and educational purposes. This will (1) allow for long-term tracking of replication rates across disciplines and evaluation of open science policies (e.g., open data), (2) enable the development of methods that can predict replicability rates for singular or sets of findings, (3) provide theorists and practitioners with ways to quickly gain insights into the robustness of certain phenomena, and (4) make replication attempts more visible.
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