Chain simple surveys into longer runs to build complex studies. Use R to generate pretty feedback and complex designs.
This package performs model-free reinforcement learning in R.
DOSE: A customizable watchOS app framework for Experience Sampling Method (ESM) and Ecological Momentary Assessment (EMA) studies on Apple Watch — featuring randomized survey scheduling, HealthKit integration, and seamless Firebase data syncing.
Open-source consciousness measurement platform: real-time phenomenological reporting backed by a Neo4j graph database. React/Capacitor client, TypeGraphQL/Apollo server.
Metricwire is a real-world data collection platform for ecological momentary assessment (EMA), experience sampling (ESM), and digital-health research. It helps organizations measure real-world experiences to inform treatments, service offerings, and policies.
Neurophenomenology as personal instrumentation — a framework for time-aligned first-person sampling and continuous physiological recording, built to study the gap between experience and its recollection, simultaneously producing a local health data archive.
iOS Shortcuts pipeline for thrice-daily EMA data collection
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