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

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

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

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.

✅ 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.

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.

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.

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

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.

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.

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