Presentations and Abstracts

After the conference presentations and abstracts will be archived in the Open Access: a Day of Data collection

Jussi Eloranta (Chemistry)
Abstract: An overview of the open source data acquisition library libmeas: developed in my group is presented with a focus on its research applications and student training. The presentation gives examples of successful device driver implementations on Linux, their applications in research, and discusses the general challenges in writing open source software. Training in this field provides students good employment prospects as many commercial data acquisition applications employ similar open source tool set.

Regan Maas (Geography)
Presentation: Open geospatial solutions: technology alternatives for a changing discipline

David Medeiros (Linguistics)
Presentation: Digital Databases for Linguistics

Mark Schilling (Mathematics)
Abstract: Carnegie Mellon’s Open Learning Initiative (OLI) has developed a rich suite of open and free (or nearly free) online courses. One of these forms the basis for CSUN’s hybrid Mathematics 140 course in Introductory Statistics. We will provide a brief overview of both this hybrid course and the OLI’s Statistical Reasoning course, which provides the content delivery for the hybrid class. A particular focus will be the extensive set of assessment tools provided by the OLI learning platform. Students in the hybrid Math 140 classes have on average outperformed those in other sections of Math 140.

Crist Khachikian (Research and Graduate Studies)
Abstract: Open Data and related topics is an area I want to work with faculty and students on in the coming years. The idea being that all data from federally-funded programs should be and, in some cases, are required to be publicly available. Also, the idea that we, as a campus and a community, need much better data management and dissemination plans so that we can all learn from each other and use data as a entry point for students to engage in solving some of the grand challenges out there (both as a way to solve the problems but also to engage them in high impact practices).I want would like to do a "datafest" and I do have funding for it. I'd like to use the Open Data Day to invite people to join a group to think through how all of this would work (possibly as early as in the Spring).

Seyed Sajjadi (Master's in Computer Engineering)
Presentation: Datapalooza (PPT)