Presentations

Presented by Mercè Crosas, Michael Bar-Sinai and Latanya Sweeney.

Society generates data on a scale previously unimagined. Wide sharing of these data promises to improve important aspects of life such as health and education, by increasing their quality and lowering their cost. However, these same data often include sensitive information about people that could cause serious harms if shared widely. A multitude of regulations, laws and best practices protect data that contain sensitive personal information.

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Presented by Mercè Crosas at the Massachusetts Open Cloud Workshop:

http://www.bu.edu/hic/2015/11/12/nov-19-2015-moc-annual-workshop-hosted-by-the-hariri-institute-for-computing-2/

Presented by: Gustavo Durand and Elizabeth Quigley

All of us have experience in developing Java applications, but how many of us know how best to make them usable? UX is a team effort, not just one person’s role. This presentation goes over some common UX myths and how a developer and a UXer can work together to improve the UX of an application. Reviewing examples from the development effort of Harvard’s Dataverse Project, it shows how this project has dispelled some of these myths and solved...

Presented by: Elizabeth Quigley

The Dataverse Project started in 2006 at Harvard's Institute for Quantitative Social Science as an open source software application to share, cite and archive data. From its beginnings, Dataverse has provided a robust infrastructure for data stewards to host and archive data, while offering researchers an easy way to share and get credit for their data. The Dataverse project, started as a repository for social sciences data, has now expanded to benefit a wide range of disciplines and scientific domains (astronomy, life...