Data Science and Criminology; Ethical algorithms; Bayesian statistical inference: an application to cosmology

Evolutionary forces of cultural change; High dimensional word embeddings to predict human judgment; Machine learning II: Applications to image analysis and others

Understanding Misperceptions of Inequality in China Using Print and Social Media Data; Why is the universe expanding so rapidly?; Machine learning I: Intro to neural networks

Machine learning in the Milky Way; Data-driven Modeling of Human Color Vision; Linear regression theory and practice

Simulating COVID-19 in a University Environment; How do we track where COVID-19 virus comes from? Estimating genealogies from DNA sequences; Data visualization

Network design in leaves, river deltas and human vasculature; Human Happiness in High Resolution: Insights from large-scale experience sampling; Basics of programming in Python

Introduction to data science hangout, Using text to understand politics & public opinion, and Basics of probability and statistics

Urban Analytics in Philadelphia: How can we use data to improve our cities?; Leaf Fingerprinting: applying persistence homology and data driven discovery to the network of plant leaf veins

Human Happiness in High Resolution: Insights from large-scale experience sampling; Tutorial: Ridge Regression and related topics in regression analysis