Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
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Updated
Feb 25, 2023 - Go
Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
A decentralized privacy-preserving data sharing tool
all human experts into AI agents
Open, explainable career evidence for the AI era.
Tools for analyzing global career mobility data using tidyverse workflows.
Evidence-backed analysis of AI skills, wages, tasks, education, and geography using O*NET and BLS data.
DreamLab Academy Go
Occupational micro-actions: 15,817 atomic micro-actions decomposed from 1,961 O*NET work activities. Code & data for "The Atomic Structure of Work" (Gao & Huang 2026, arXiv:2606.07939). Dataset DOI: 10.5281/zenodo.21395793
Model task-level generative AI impacts on occupations and curriculum reform using O*NET data.
A fast-paced link-matching puzzle game for iOS, iPadOS, and macOS built with Swift, SwiftUI, and SpriteKit.
Embedding-based alignment of the ESCO and O*NET occupational taxonomies, with dominance-gap and entropy confidence diagnostics and a conservative accept / review / ambiguous decision policy. M.Tech dissertation, BITS Pilani (WILP).
A milestone-based data science project exploring how automation and AI affect U.S. occupations and skills. Data collected from BLS, O*NET, and other sources, cleaned and merged into SQLite, with analysis and visualization in Python and Power BI.
ฝึกทำข้อสอบ ป.6 ออนไลน์ ฟรี — คณิตศาสตร์/วิทยาศาสตร์ กดเล่นได้ทันที ไม่ต้องสมัครสมาชิก
524 US occupations, one row each: BLS pay and 2025-35 projections, O*NET work context, two AI-exposure benchmarks, and a documented displacement vs augmentation split. CSV plus data dictionary, CC BY 4.0.
O*NET MCP — wraps the O*NET Web Services (US DOL) occupation taxonomy
Federal labor market analysis: demand, wages, and skills across 10 early-career occupations, from USAJOBS, BLS OEWS, and O*NET.
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