The Distributed Little Red Hen Lab is a global laboratory and consortium for research into multimodal communication. Its main goal is theory. Its second goal is the development of new computational, statistical, and technical tools to assist research into multimodal communication. Red Hen is a cooperative of engaged researchers who collaborate closely and contribute power and content to Red Hen and hence to each other and to future researchers. It lacks the resources and organization to serve scholars other than those who work in the cooperative. Red Hen's vast and growing archive is not designed to be a corpus, but some collaborators use it to help create corpora for specific purposes. Researchers who would like to work on yet newer ways of deriving corpora from the archive, on providing user-friendly interfaces for the archive, on improving the tagging of data, or on anything else that would benefit the distributed laboratory are warmly encouraged to write to the directors.
Red Hen is directed jointly by Francis Steen and Mark Turner. See Red Hen's twitter feed. See Crowing Rooster's News & Announcements. We have a Google Summer of Code Award for 2015, and our Google/Red Hen Summer of Code for 2015 employs 8 students developing open-source code for audio detection; see our Ideas Page.
The Distributed Little Red Hen Lab, also known as "Red Hen Lab" or "Red Hen," utilizes high-performance computing clusters and sophisticated videoconferencing capacities provided by Case Western Reserve University. We are grateful to Information Technology Services at Case Western Reserve University for providing these resources. Principal nodes of the research network include
Red Hen conducts transdisciplinary research in multimodal communications, linguistics, computational linguistics, cognitive science, neuroscience, education, statistics, media effects studies, political communication, and library science.
Red Hen builds tools across a range of tasks, including automated data acquisition, distributed data storage, data enhancement, joint text, sound, and vision parsing, statistical analysis, multimodal search engines, user interfaces, presentation tools, publishing platforms, and pedagogical applications. We develop open-source software at RedHenLab.