BIG Science: A Collaborative Framework for Large Scale Research

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dc.contributor.authorHill, Samuel J.
dc.contributor.authorBrown, Kyle A.
dc.contributor.authorCirstea, Andreea I.
dc.contributor.authorMorgan, Alexandra R.
dc.contributor.authorMustafa, Ahmed
dc.contributor.authorTartaro, Andrea
dc.date.accessioned2023-03-17T22:48:37Z
dc.date.available2023-03-17T22:48:37Z
dc.date.issued2014
dc.description.abstractLarge-scale research projects that involve multiple investigators from many disciplines and many universities face challenges that affect collaboration and cohesion of the project. In this poster, we propose a Big Science" collaboration system that uses Human Computer Interaction, Artificial Intelligence and Big Data methods to identify project cohesion and create effective collaborative connections."en
dc.identifier.doi10.1145/2660398.2663772
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4470
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2014 ACM International Conference on Supporting Group Work
dc.subjectlarge-scale research
dc.subjectrecommendation systems
dc.subjectbig data
dc.titleBIG Science: A Collaborative Framework for Large Scale Researchen
dc.typeText/Conference Paper
gi.citation.startPage285–287
gi.conference.locationSanibel Island, Florida, USA

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