Instructor: Trivellore Raghunathan (“Raghu”)
The data landscape has changed tremendously. Until a few years ago, sample surveys were the primary sources of information but with the ability to harness data from many other sources have become available. These include spatial observations, administrative sources, sensor data, business transactions and social media, to just name a few. These “found data” provide unique opportunities to blend information from multiple sources to harness inferences about the population of interest to address societal problems. This short course will cover important challenges such as harmonization and comparability of measurements across various sources, methods to combine information, modeling challenges and framework needed to evaluate the validity and reliability of estimates derived from such combined sources. Several case studies will be used to illustrate the challenges, opportunities and benefits.