AI

Working Smarter, Not Harder: Inter-Disciplinary Methods for the Age of Analytics

Abstract

Increasingly large and complex data sets, fewer resources, and short timelines pose unique challenges to researchers. To over come obstacles of scale, complexity, and velocity, we propose two techniques — data triangulation and process scaling. We will explain how we’ve used these techniques, discuss lessons learned, & through interactive exercises, participants will learn how to apply these techniques to their own work.