The Case for Multidisciplinary Computer Science
| dc.contributor.author | Burge, Jamika | en |
| dc.contributor.department | Computer Science | en |
| dc.date.accessioned | 2015-06-08T14:58:01Z | en |
| dc.date.available | 2015-06-08T14:58:01Z | en |
| dc.date.issued | 2015-04-17 | en |
| dc.description.abstract | Multidisciplinary computer science approaches problem solving from a range of disciplines. Arguably, some of today’s most salient areas of technical research – social computing, data analytics (“big data”), and cyber security – are multidisciplinary in nature. Moreover, multidisciplinary computing has the unique quality of empowering technology users in ways that did not exist just ten years ago (think Google Glass and quantified self applications). In this talk, I share a series of research projects that have contributed to the line of multidisciplinary computing research. I will also share lessons learned and possible directions for future research. | en |
| dc.identifier.uri | http://hdl.handle.net/10919/52923 | en |
| dc.language.iso | en_US | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.title | The Case for Multidisciplinary Computer Science | en |
| dc.type | Video | en |
| dc.type.dcmitype | Image | en |
| dc.type.dcmitype | MovingImage | en |
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