OpenSnowcat Enricher (Apache 2.0 License)

Materials for "DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages" at EMNLP'22 🗺️

R Package with auxiliary functions to facilitate data pre-processing and analysis of behavioral data

An exploratory data science and machine learning project focused on predicting an individual's personality type (introvert or extrovert) based on behavioral data.

Human Signal Intelligence Protocol. Behavioral data sovereignty on TON blockchain. TEE + Proof-of-Behavior + $FORE token. Fair Launch Q3 2026.

✅ Behavioral face recognition opendata and code for Matsuyoshi & Watanabe (2021) Psychol Res

AI-powered qualitative coding of behavioral data. Transform, translate, describe, and evaluate textual data with single-model or multi-model consensus verification.

Reanalysis of a small-sample Eriksen flanker dataset: raw-to-tidy behavioral data, repeated-measures ANOVA, and block-level mixed-effects modeling.

Python/R scripts for neural/behavioral data analysis from the Photographer Paradigm

End-to-end data pipeline to analyze user journeys across mobile and web platforms using BigQuery, dbt, and external reference data.

Longitudinal AI-human interaction datasets focused on behavioral governance and interaction trace continuity.

A Python tool for Ecological Momentary Assessment (EMA) of attentional variability.

Wunderkind (formerly BounceX) is a performance marketing and identity resolution platform that turns anonymous website and mobile-app traffic into triggered, one-to-one email and text messages.

Data science project revealing why linear models fail in complex behavioral data like smartphone usage and digital addiction.

Open-source workflow for measuring how people coordinate gaze and speech in triadic interactions, from raw eye-tracking and audio to synchrony analysis.

Sitecore is a global digital experience platform that combines content management, marketing automation, e-commerce, customer insight, and personalization to help brands deliver personalized customer experiences.

Snowplow is a behavioral data platform that enables organizations to collect, process, and model granular event-level data from web, mobile, and server-side sources, providing a data pipeline for analytics and AI use cases. The platform uses a schema-first approach with self-describing JSON events validated against the Iglu schema registry.

Analysis of behavioral data (reaction time and accuracy) in the RDM task, including investigation of the learning effect and fitting RDM and Wang models to the data.

Local-first observability system modeling human state across structured domains with field-based visualization.