Job Transitions in a Time of Automation and Labour Market Crises

Summary: We build a machine learning-based Job Transitions Recommender System that can accurately predict the probability of transitioning between occupations. We showcase the system for workers forced to transition between jobs. The system is based on a novel data-driven method to measure the similarity between occupations based on their underlying skill profiles and real-time job ads. We also build a leading indicator of Artificial Intelligence adoption in Australian industries, outlining gaps, opportunities, and trends.

User Analysis on reshare cascades about COVID-19

We demonstrate in this blog post a tutorial on applying the tools for analyzing online information diffusions about Twitter users, birdspotter and evently. Dataset In this tutorial, we apply two tools for analyzing Twitter users, on a COVID-19 retweet dataset. The dataset is curated by Chen, et al. One can obtain a copy of the tweet IDs from their project. We only use the 31st of Janury sample of the whole dataset for demonstration purpose.