Digital Commons Network^™

Big Data: Challenges And Opportunities For Digital Libraries, Richard Hacken

Faculty Publications

Presented as a Keynote Address to the International Conference on Computing in Engineering and the Sciences in Istanbul, Turkey, on July 30, 2015.

This is an abstract of the speech:

Thanks to technological progress, thanks to the copious Internet, thanks to geometrically burgeoning social media and to quickly proliferating sensors, the flood of data available to us is surging larger and larger, faster and faster. Paradigms for management and analysis are at the core of data-driven businesses and institutions, fueling the velocity of scientific research and development. The phrase “Big Data” was itself coined by scientists as they manipulated exploding …

A Cloud-Based Modflow Service For Aquifer Management Decision Support, David Jones, Norm Jones, James Greer, Jim Nelson

Faculty Publications

A framework to publish simplified MODFLOW groundwater modeling capabilities to a web interface for use by water managers and stakeholders is presented. Numerical modeling simulations can assist aquifer management decisions, but the amount of time and professional expertise required to wield modern groundwater models often exceeds the resources of regulating agencies – even for simple modeling tasks that are repetitive in nature. The framework is capable of automating such modeling tasks, accepting user input, executing MODFLOW, and generating specialized results including maps and modeling reports. This framework was used to build a pilot system for an aquifer in central Utah, …

Early To Adopt And Early To Discontinue: The Impact Of Self-Perceived And Actual It-Knowledge On Technology Use Behaviors Of End Users, Rohit Aggarwal, David Kryscynski, Vishal Midha, Harpeet Singh

Faculty Publications

For organizations to achieve the benefits of new IT systems their users must adopt and then actually use these new systems. Recent models help to articulate the potentially different explanations for why some users will adopt and then continue using new technologies, but these models have not explicitly incorporated IT-knowledge. This is particularly important in contexts where the user base may be non-IT professionals—i.e. the users may vary substantially in their basic IT-knowledge. We draw upon psychology to argue that in situations where there is wide variance in actual IT-knowledge there will often exist U relationship between actual and self-perceived …