Learning activities for the students in this NSF-supported Research Experiences for Undergraduates (REU) site include research methods workshops, data ethics seminars, training on several software applications, and professional development opportunities. Students ask and answer impactful research questions using data sets provided by their faculty mentors. Students present their own research results in the final week. Every student is encouraged to submit their research to an appropriate research conference after completion of the experience. Students achieve their learning goals in this REU site by affiliating themselves with active research projects being conducted by Syracuse University faculty members and their doctoral mentees. School of Information Studies faculty members conduct research on human language technologies, computational social science, social media, disinformation, human-centered computing, and a variety of related topics. These projects typically offer large data sets that REU students can explore as they develop their technical skills with programming languages, data mining, statistics, linguistics, and deep learning.
For full consideration in the initial screening, we need people to complete the screening survey by Friday, 11/3/23. Subsequently, we will contact finalists for additional documentation, which we will need to receive by Friday, 11/17/2023. Following phone interviews with finalists, all decisions will be complete before Friday, 12/29/2023.