The digital event coincided with the publication of a special issue of of the Psychonomic Society’s journal Behavior Research Methods that was dedicated to exploring the role of “big data” in cognitive psychology. The #PSBigData event differed from previous Digital Events in two ways: First, it extended into a second week, and second, it contained a post by one of the contributing authors to the special issue who provided their own perspective on the discussion.
The following posts, listed in their order of publication, contributed to the event:
- Stephan Lewandowsky kicked off the discussion and provided a bit of background and foreshadowed the posts for the event.
- Gary Lupyan and Robert Goldstone, the guest editors of the special issue, explained their fascination with the power of big data.
- Todd Gureckis and Tom Griffiths linked big data to big experiments.
- Molly Lewis described how big data can support building of a causal model in a conversational context.
- Tim Mullett explained how big data can permit the replication of laboratory experiments on a large scale.
- Wayne Gray showed how big data lends itself to mining by multiple approaches.
- Alexandra Paxton discussed the often profound ethical implications of big data and their analysis.
- Padraic Monaghan took us on a tour into the minds of people in the past. What were they thinking in 1800?
- Rick Dale, one of the authors of the special issue, offered his concluding commentary.
