Phys .org: Big data hype hasn’t led to tan­gi­ble re­sults in the so­cial sci­ences, expert says

Phys.org: Big data hype hasn’t led to tan­gi­ble re­sults in the so­cial sci­ences, expert says . “Despite the great progress in basic research, such as speech recognition and image processing, success stories of existing big data applications in the social sciences are scarce. As early as 2014, big data plummeted from the “Peak of Inflated Expectations” to the “Trough of Disillusionment” phase in the Gartner Hype Cycle. In the basic sciences, the focus is on the technical prerequisites for efficiently recording and storing large quantities of data and automatically processing them. Artificial intelligence methods such as machine learning have great potential here. Only the social sciences have so far benefited little from this, and even seem to be losing ground to other disciplines. I notice that instead of drawing benefit from the flood of data for their empirical research, social scientists are often overwhelmed by the opportunities that arise.”