Pediatric dysregulation, in real data.
Research infrastructure for pediatric dysregulation studies. Ingests wearable and app data, computes dysregulation signatures, and gives clinical researchers the query surface they've been building in spreadsheets for years.
Dysregulation — the emotional volatility that often shows up alongside pediatric ADHD and ODD — is one of the hardest things to measure in child psychiatry. Rating scales sample it once a week. Classroom observation catches an hour a day. The real signal lives in between. Researchers know this, and have been stitching together wearable exports, app diaries, and parent reports in spreadsheets for years.
Tidewater is what those spreadsheets wanted to become. It ingests data from multiple sources, derives a library of dysregulation features, and gives researchers a cohort layer that respects IRB requirements. Queries that used to be impossible — spanning three data sources and four hundred participants — now take a few clicks.
Wearables, EMA apps, parent-report surveys — normalised into a single per-participant time-series.
A curated set of derived dysregulation features — variability, reactivity, recovery — computed the same way every time.
Consent tracking, retention schedules, and deidentification workflows built to satisfy institutional review.
Filter, define, and export cohorts to your analysis environment — with provenance metadata attached.
Tidewater is a single research application.
Cohort explorer, signal library browser, and structured exports. Query dysregulation features across your study population, define subgroups, and hand off to your analysis tools with provenance intact.
Open the researcher workbenchTidewater is one of the research tools built inside the Synapse Spark Foundation. Everything we make is part of the same mission — understanding neurodivergent minds and supporting the researchers advancing the science.
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