JD Long, agricultural economist and quant, discusses decision making under uncertainty in data science, common mistakes, heuristics for decision-making, and the impact of cognitive biases. Topics include coupling data science with decision-making, model building, storytelling, and the intersection of cognitive biases.

Data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long share their favorite R libraries at the New York R Conference. Topics include iGraph for transitioning to full-time R programming, Segway package benefits, Snake Make vs. Targets for data cleaning, and intuitive open-source libraries for non-coders.