Name
Abstract | ||
|---|---|---|
Large-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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2660398.2663772 | GROUP |
Keywords | Field | DocType |
big data,computer-supported cooperative work,large-scale research,recommendation systems | Recommender system,Cohesion (chemistry),Data science,World Wide Web,Computer science,Big data | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel J. Hill | 1 | 0 | 0.68 |
| Kyle A. Brown | 2 | 0 | 3.04 |
| Andreea I. Cirstea | 3 | 0 | 0.34 |
| Alexandra R. Morgan | 4 | 0 | 0.34 |
| Ahmed Mustafa | 5 | 2 | 3.06 |
| Andrea Tartaro | 6 | 0 | 0.34 |