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Showing posts with the label REU 2024

2024-08-06: Disinformation Detection and Analytics REU Program 2024 - Final Presentations

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Students presenting at ODU CS REU Program 2024 - Final Presentations This year marks the third year of the  National Science Foundation  (NSF) funded program of  Research Experiences for Undergraduates  (REU) on Disinformation Detection and Analysis at Old Dominion University. Each year, eight undergraduate students are selected nationwide and conduct research projects with their mentors. The students presented their projects on July 23, 2024, concluding this year's REU program. The program was hosted by the Web Science and Digital Libraries (WS-DL) Research Group within the Department of Computer Science in collaboration with VMASC . More than 20 people, including mentors, REU students, graduate students, and other faculty, participated in the final presentation either online or in person. More detailed information on this year’s REU program can be found in the introductory blog post by Lawrence Obiuwevwi and the midsummer presentation blog post by ...

2024-07-22: Disinformation Detection and Analytics REU Program – Mid-Summer Presentations

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2024 REU cohort and faculty after the mid-summer presentation session, 2024-06-21 The Department of Computer Science Research Experience for Undergraduates (REU) program provides hands-on learning and research experience to students interested in developing novel tools and techniques for identifying and countering online disinformation. During their 10-week summer research program, they work with faculty and students from WS-DL , NirdsLab , AccessLab , LampSys, and VMASC . This year the program started on 2024-05-23, with the participation of eight students. The program is funded by the National Science Foundation (NSF) Research Experiences for Undergraduate Sites . A detailed introduction to the 2024 program can be found in the blog post by Lawrence Obiuwevwi . The mid-summer presentations of the REU program were held on Friday, June 21st, at the Department of Computer Science . The presentations provided a high-level overview of their research problem, progress, and preliminary re...