Research Terms
Computer Science Computer Applications Computer Programming Information Science Information Systems History of Technology
Keywords
Ai For Good Artifical Intelligence Data Science Data Science For Social Good (Dssg)
Industries
Software & Computer Systems Design
Karthikeyan Umapathy is a Professor at the School of Computing, University of North Florida. He is a co-director of Florida Data Science for Social Good (FL-DSSG). He is the 2018 - 2022 recipient of the FIS Distinguished Professor in Computing Award. He has a Ph.D. in Information Sciences and Technology from Pennsylvania State University. He is a Florida Campus Compact STEM Fellow & Certified Scholar, an IEEE Senior Member, and a UNF Community Scholar. He uses service-learning pedagogy to provide students with real-world software development experience by identifying projects from Nonprofit and Small-business organizations. He works with software development companies to engage them as mentors in his courses. His research interests include designing and developing complex information systems, developing data science solutions with social impact, investigating innovative methods to teach computing concepts, examining IT adoption in the Nonprofit Sector, and conducting user experience studies.
Karthikeyan Umapathy is a Professor at the School of Computing, University of North Florida. He is a co-director of Florida Data Science for Social Good (FL-DSSG). He is the 2018 - 2022 recipient of the FIS Distinguished Professor in Computing Award. He has a Ph.D. in Information Sciences and Technology from Pennsylvania State University. He is a Florida Campus Compact STEM Fellow & Certified Scholar, an IEEE Senior Member, and a UNF Community Scholar. He uses service-learning pedagogy to provide students with real-world software development experience by identifying projects from Nonprofit and Small-business organizations. He works with software development companies to engage them as mentors in his courses. His research interests include designing and developing complex information systems, developing data science solutions with social impact, investigating innovative methods to teach computing concepts, examining IT adoption in the Nonprofit Sector, and conducting user experience studies.
The collaborative community engagement triad model involves a partnership between the university, private, and nonprofit sectors to enhance the student learning experience while creating community impacts. This talk will introduce the triad model along with some challenges faced and solutions adopted. Triad model will be explained using example implementations in a two-semester computing capstone wherein students produce web application products and in a 12-week summer internship wherein students produce data science products.
Subject Areas:
Keywords:
Audience:
Adults
Duration:
1 hour or less
Fee:
No Cost