developmental-psychology

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

Code & data for the EMNLP 2024 paper: Is Child-Directed Speech Effective Training Data for Language Models?

Pepper implementation of the cognitive architecture for Trust and Theory of Mind in humanoid robots applied to Vanderbilt's experiment.

Tutorial for developmental data with spectral parameterization.

Event Detection in Eye Tracking and Fixation Time Analysis in R. Demonstration of the kollaR package

🧠 Explore a new moral-cognitive framework that redefines knowledge as care through the lens of epistemic intimacy in relationships.

Pipelines to analyze the EEG data of the study: Statistics in motion: Does the infant motor system predict actions based on their transitional probability?

Code and data for the paper "Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models"

R scripts and minimal docs for IRT modeling of developmental milestone items (Germany–Namibia).

This paper reframes the newborn’s first cry as the primordial epistemic claim—the embodied registration of contradiction and dependence at life’s threshold. Drawing on developmental research, attachment theory, and KMED-I simulations, it shows how caregiver responses form fiduciary scaffolds shaping autonomy, resilience, and trust.

KMED-I models the newborn’s cry as the first epistemic event, simulating caregiver responses—fiduciary, inconsistent, neglectful, or silencing—and their impact on autonomy, dissonance tolerance, and dependence. A computational tool for developmental psychology, psychiatry, and epistemic theory.

A theoretical synthesis introducing epistemic psychology—a framework uniting cognition, ethics, and relational science. Based on the Kahl Model of Epistemic Dissonance (KMED-R), it reconceptualises knowing as fiduciary care and introduces FBT, TACM, and the Intimate Epistemic Oath as tools for diagnosing trust and dependence.

An open, plain-text format for structured child behavior records.

Android application for smart potty research: child profiles, toilet event tracking, interoception development, BLE-connected devices, and personalized predictive models.

Code and materials for studying how infants learn and adapt to changing, uncertain environments using a probabilistic reversal learning task, anticipatory looking, eye-tracking, EEG, and Hierarchical Gaussian Filter (HGF) computational modelling.

Academic personal website for Dr. Linger

Open toolkit for analyzing children's media, built to equip researchers with a complete research pipeline: reproducible episode sampling → custom automated audio-visual sensory composites → hand-coding of pacing and fantastical events → validation, charts, and data export.

Code for academic project investigating sensitivity of conclusions based on looking time metrics to details of parameters (e.g. what counts as a lookaway).

A policy and clinical discussion framework designed to complement ADOS-2 in autism and ADHD assessment pathways. It introduces an epistemic-developmental formulation layer to support differential diagnosis, triage, and proportionate intervention within NICE-aligned services.