The IDAS framework with its KSODI method and the belonging SIRA-protocol measures human-AI interactions. It aims to systematically prove and improve its quality based on a unique metric and may enable people to think deeper. It follows an ethical, Governance-ready idea while targeting to keep maximum privacy.

Short project using eye tracking library. Developed at the first hacksociety hackaton at Colombia

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course material for Experimental and Computational Methods for Linguistic Research

cognition-grounded methods of word embeddings evaluation

Create and manage note of NLP

This framework allows for the computational mind to emerge by creating stable quantum stepped prepositional harmonic residues on a unified 4-path on toroidal ring 1_R

This project uses existing open-source eye-tracking data from Mandarin Chinese-English bilinguals to train a machine learning model to predict L2 English Language Proficiency based on reading behavior.