Lessons from an Online Multidisciplinary Undergraduate Summer Research Program

Simple item page
dc.contributor.authorGobbert, Matthias K.
dc.contributor.authorWang, Jianwu
dc.date.accessioned2021-05-21T16:41:02Z
dc.date.available2021-05-21T16:41:02Z
dc.date.issued2021
dc.descriptionThe 17th International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS'21)
dc.description.abstractDuring 2018, 2019, and 2020, the UMBC CyberTraining initiative “Big Data + HPC + Atmospheric Sciences” created an online team-based training program for advanced graduate students and junior researchers that trained a total of 58 participants. The year 2020 included 6 undergraduate students. Based on this experience, the authors created the summer undergraduate research program Online Interdisciplinary Big Data Analytics in Science and Engineering that will conduct 8-week online team-based undergraduate research programs (bigdatareu.umbc.edu) in the summers 2021, 2022, and 2023. Given the context of many institutions still being online and potentially expanding their online instruction in the wake of the COVID-19 pandemic, we share our experiences how the successful lessons from CyberTraining transfer to a high-intensity full-time online summer undergraduate research program.en_US
dc.description.sponsorshipThis work is supported in part by the U.S. National Science Foundation under the REU Site (OAC–2050943), CyberTraining (OAC–1730250), and MRI (OAC– 1726023) programs. The hardware used in the computational studies is part of the UMBC High Performance Computing Facility (HPCF).en_US
dc.description.urihttp://hpcf-files.umbc.edu/research/papers/BigDataREU_FECS2021.pdfen_US
dc.format.extent5 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepostprints
dc.identifierdoi:10.13016/m2bca6-emth
dc.identifier.citationMatthias K. Gobbert and Jianwu Wang. Lessons from an Online Multidisciplinary Undergraduate Summer Research Program. In: The 17th International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS’21),en_US
dc.identifier.urihttp://hdl.handle.net/11603/21593
dc.language.isoen_USen_US
dc.publisherAmerican Council on Science and Education
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titleLessons from an Online Multidisciplinary Undergraduate Summer Research Programen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-1745-2292
dcterms.creatorhttps://orcid.org/0000-0002-9933-1170

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BigDataREU_FECS2021.pdf
Size:
221.63 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Mathematics and Statistics Department
UMBC Faculty Collection
UMBC Information Systems Department
UMBC Student Collection