First AI‑enabled open-source Human Capital Management system that you can start using today.
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Updated
Apr 9, 2026 - PHP
First AI‑enabled open-source Human Capital Management system that you can start using today.
Headcount is an HRM application with time off, employee self service and employee management
Wittgenstein Centre Data Explorer
Python library for lifecycle portfolio allocation inspired by Choi et al. Combines human capital PV, risk aversion, and market assumptions to produce data-driven stock/bond recommendations. Includes glide paths, sensitivity analysis, strategy comparisons, and visual analytics. Educational/research use only.
The Uncomfortable Coexistence of Job Destruction and Labor shortages
Unveiling the Spatiotemporal Dynamics of Global Brain Circulation: A Comprehensive Corpus (2000-2024)
This research suggests that implementation of a phased retirement program may be used as a tool to retain dedicated workers.
Estimación de una ecuación de Mincer mediante un modelo supervisado de regresión lineal utilizando algoritmos de feature selection para la identificación de controles, aplicado al primer trimestre de 2023 de la totalidad de los aglomerados urbanos de Argentina, utilizando la Encuesta Permanente de Hogares (EPH).
A protocol layer built on Allo Protocol connecting talent with funders. Human Allo enables direct funding of individuals based on expertise, independent of specific projects. The platform facilitates talent discovery and flexible funding to support those overlooked by traditional markets.
Kago HC - Full-stack Human Capital Management System with role-based dashboards for employers and employees. Features: authentication, employee management, attendance, leave, payroll, asset management, performance evaluation, document management, compliance reports, and more. Built with PHP, MySQL, HTML5/CSS3/JS.
Workforce Competitive Intelligence MCP Server
HR workforce analytics dashboard built with Excel and Power BI
Trabalho acadêmico de estimação dos modelos de crescimento econômico de Solow e MRW. Além de análise de determinantes do Longo Prazo e Dummies.
Predicting employee turnover using Logistic Regression, Decision Tree, k-NN & SVM on 14,999 employees. Decision Tree achieved 97% accuracy & 0.97 AUC. Built in R. Dataset: 10 attributes.
A focused study on brain drain in Iran, examining the key economic factors driving skilled professionals to leave the country.
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