December 2 @ 4:30pm | Free
Small scale, qualitative approaches to data collection and analysis offer researchers the opportunity to obtain very rich, deep insights about very specific phenomena – often in a very bounded or limited context. Such studies often face challenges related to generalization, extension, verification, and validation. On the other hand, large scale, quantitative approaches to data collection and analysis offer researchers broad assemblages of data, but such data is often much more shallow – missing the rich detail associated with deep study.
So, where’s balance? Learn a human-centered approach to big data science.