Who’s disrupting transcription in academia?

Transcribing is a pain, recent progress in speech recognition software has helped, but it is still a challenge. Furthermore, how can you be sure that your person-identifiable interview data is not going to be listened and transcribed by someone who wasn’t on your consensus forms. The bigger disruptor is the ability to annotate video and audio files

No more tradeoffs: The era of big data content analysis has come

For centuries, being a scientist has meant learning to live with limited data. People only share so much on a survey form. Experiments don’t account for all the conditions of real world situations. Field research and interviews can only be generalized so far. Network analyses don’t tell us everything we want to know about the ties among people. And text/content/document analysis methods allow us to dive deep into a small set of documents, or they give us a shallow understanding of a larger archive. Never both. So far, the truly great scientists have had to apply many of these approaches to help us better see the world through their kaleidoscope of imperfect lenses.