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We develop open, reproducible tools and datasets to advance computational neuroscience and psychological research. Our projects create and maintain software for distributed data-versioning and provenance, stable neuroimaging platforms, and analysis/data-format libraries, while also curating large, shareable naturalistic neuroimaging and behavioral datasets. We prioritize FAIR principles, provenance capture, and decentralized research-data management.

Our goal is to make complex neuroimaging and behavioral data easier to discover, access, reproduce, and reuse across labs by integrating data, code, and workflows. Through tool development, open data releases, and methodological research, we aim to improve replicability in cognitive and brain sciences and to lower the technical barriers for collaborative, large-scale computational studies.

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