Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
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Updated
Sep 28, 2026 - Python
Stata-MCP: A MCP server for integrating Stata into your agent loop with a safety-first design.
A (RLlib-compatible) multi-agent environment for probing the boundaries of MARL and social sciences
SGSSS course: Text Analysis for Social Sciences (27 Mar 2026)
Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical validation following Ginzburg's (2024) framework. Jupyter Notebook based.
Best Free Stata MCP Causal Inference Tool 2026 - Download Now
ABCD Hackathon 2024.
This project aims to use Large Language Models (LLMs) to assist with Grounded Theory analysis. The entire workflow uses "Open Source Cases" as the subject of study. Through several automated stages, it extracts causal relationships from the original case texts and progressively builds a theoretical model.
Course website for PS211 at Boston University (Fall 2025). CC BY-NC-SA 4.0. Built with Quarto.
HOPE (Humanities Open-data Project Ecosystem,人文开放数据项目生态) 是由上海比翼视界信息科技有限公司下设的 AIdea 实验室 发起的一个开源数据计划。希望为中国的社会科学研究者提供开放易用的社科研究数据,并共同推进中国社会科学数据共享与繁荣。
A digital data dashboard analyzing the relationship between access to social services and economic mobility within New York City Housing Authority (NYCHA) public housing developments.
Can faith predict early pregnancy behaviour?
Python library for dynamically loading European Social Survey (ESS) data via the ESS API. Includes variable-first indexing, integrated codebooks, automated caching, and JSON export.
Prototype d'une plateforme de circulation des textes académiques entre espaces linguistiques différents
Free, open-source desktop app for mixed methods research: qualitative coding and quantitative analysis in one local-first project. Code interviews, prepare and analyze survey data, and integrate both on a canvas.
Analysis code and LaTeX documents for re-creating the findings in Simonsen et al. (2026)
This is my work for Quantitative Applications, a course within my Master's degree.
Polibio.ai — an open Claude Code template for building a domain-specific agentic research system for the social sciences. Four-phase lifecycle, provenance-first data tooling. MIT License.
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