BIDS' Nick Adams is featured in this interview with Andrea Jones-Rooy in NYU's Data Science Demystified podcast, in which they discuss Nick's TextThresher collaboration software, which uses text-classifying and analysis algorithms to identify important social and political concepts, including the relationship between police and protests.
BIDS' Karthik Ram is featured in this week's issue of Nature, in the article Data Domination, which describes the rapidly expanding field of data science, the breadth of diverse interdisciplinary research it supports, and the growing number of professional opportunities for data scientists in a data-driven future.
After 2 years of building TextThresher, I am very pleased to announce that...
A demo is provided below. But first, let me tell you a bit about what TextThresher does, how people use it, and how you can get your hands on it.
We are thrilled to introduce our 2017 cohort of data science fellows! With diverse research backgrounds and experiences, the new fellows will help lead our community in driving data science innovations and enhancing collaborations across UC Berkeley and beyond.