behavioral-data

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

Curated list: foundation models of human behavior — models of people trained on behavioral traces (event logs, life trajectories, transactions) whose representations transfer across tasks

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

Longitudinal mixed‑effects analysis of a 155‑child autism cohort examining predictors of Vineland Socialization Age Equivalent (VSAE). Built models with random intercepts/slopes, evaluated language, diagnosis, race, and age interactions, and assessed missing‑data impact on inference. Mixed‑effects modeling of autism trajectories.

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

Machine-learning analysis of behavioral patterns for personality prediction, feature selection, and social-behavior modeling.

The First Audience — A Cognitive Cinema film where AI observes the audience in real-time and generates a unique narrative per viewer. No two screenings are the same.

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.

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

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

Data-driven analysis combining Google Play market data and EU28 sustainability behavior to explore the potential of GreenGap, an app for greener daily habits. | Analisi di mercato e comportamentale per valutare GreenGap, un'app pensata per trasformare la sostenibilità in azioni quotidiane.

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

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

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

Find your real patterns in your own data — chat exports, AI transcripts, app history — then change one thing and measure whether it moved. Most of it is safeguards.