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j. Red Hen awards

Red Hen's core cross-disciplinary research projects have been funded by the the following grants and awards:
  • US National Science Foundation's division of Social, Behavioral & Economic Sciences under the Office of Multidisciplinary Activities for Resource Implementations for Data Intensive Research (RIDIR). “Integrated Communication Database and Computational Tools", 2018-2020. PI Jungseock Joo (UCLA), Co-PIs Tim Groeling (UCLA), Jennifer Pan (Stanford), Francis Steen (UCLA), and Zachary Steinert-Threlkeld (UCLA). SBE/SMA 1831848 and 1831481.
  • US National Science Foundation, Cyberenabled Discovery and Innovation program, 2010-2016. PIs Zhu, Groeling, Steen (UCLA), & Zhai (UIUC). CNS 1028381 and 1027965.
  • Anneliese Maier Research Prize from the Alexander von Humboldt Foundation awarded to Mark Turner (2015-2020)
  • International conference program of the Deutsche Forschungsgemeinshaft (for 2017)
  • Research Council of Norway
  • KONWIHR for the development of an HPC pipeline using gesture recognition (2016-2018, Uhrig)
  • BaCaTec for travel costs (2015-2016, Uhrig & Steen)
  • Google Summer of Code 2015, 2016, 2017, and 2018 (see for instance 2015 report and 2016 report)

Red Hen research and teaching projects have been funded as follows:
Municipality of Wrocław, Poland, Sciential Wratislaviensis Fund; University of Wrocław, Institute of English Studies, "Visiting Professors" Program; Polish Cognitive Linguistics Association, Education and Promotion Fund; University of Oxford, UK.

Dr. Anna Pleshakova (School of Interdisciplinary Area Studies, University of Oxford, UK) has been awarded a TDEP (Social Sciences Division, University of Oxford) grant of £10K to implement the project "Research Methods for Multimodal Communication and Discourse Analyses" (January-July 2017). The project will use Red Hen Lab as a platform to develop a teaching module in research methods suitable for multimodal communication and discourse analyses. The teaching module will be aimed at Oxford research students and researchers (Social Sciences and Humanities), who are interested in working with big multimodal datasets and the related content analysis, sentiment analysis, visual persuasion analysis, multimodal discourse analysis, as well as the application of text and visual tagging/annotation tools for other relevant types of analyses. The project will also be of benefit to the Red Hen research community, as well as the wider academic community.