Moses Boudourides — Public Streamlit Applications
This page collects Moses Boudourides’s public Streamlit applications linked to his public GitHub projects.
Automatic discovery with curated classification. The index is refreshed weekly from the public, non-fork repositories in the mboudour GitHub account. Existing applications retain their assigned section. A newly discovered live application is shown under New and unclassified applications until its subject classification, title, and description are reviewed in the catalog.
Research methods and artificial intelligence
AI-Assisted Systematic Reviews and Meta-Analysis
A no-code companion for a three-day workshop on evidence synthesis, systematic reviews, and meta-analysis.
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AI-Augmented Research
An interactive companion for an academic research seminar focused on directing, verifying, and critically assessing AI-mediated research workflows.
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Causal Inference with Large Language Models
A three-day workshop companion for causal inference with large language models, including step-by-step calculations built around United States Congressional speeches data.
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Web Scraping and Data Collection
A no-code academic workshop companion for collecting, preparing, inspecting, and exporting web-based research data.
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Statistics, networks, and scientometrics
Causal Attitude Network Models
A configuration-driven workspace for Causal Attitude Network analyses, including public replication, completed worked-case, and transparent feasibility workflows.
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No-Code Statistical Inference
A three-day seminar companion for data, uncertainty, hypothesis testing, group comparisons, categorical inference, regression, prediction, diagnostics, and reproducibility.
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Scientometric Source Comparison
A reproducible application for assessing how bibliographic infrastructure affects scientometric network conclusions based on OpenAlex and Dimensions data.
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New and unclassified applications
These live deployments were found automatically. They are deliberately not assigned to a research area until reviewed.
Mboudour.Github.Io
A newly discovered Streamlit application linked to this public GitHub project.
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The public deployments and their GitHub repositories are listed separately so that visitors can use an application immediately or inspect its accompanying materials and source code.