Organized by Cybera
The scientific community and policy makers are bombarded with information about Big Data, the Internet of Things, and the power of analytics to produce amazing insights. This session will describe a model whereby these topics are integrated into a single model. At base is the data layer with inputs from an ever growing array of sensors. Networks are needed to collect this data and give it context. Storage and access systems are needed to give it context and turn it into information. Computational resources are required for analytics to convert the information into knowledge. Finally policy and education are required to ensure the knowledge informs the decision making process and leads to wise policies and governance. The panel will bring together representatives from the fields of data collection, data access, networking, computation and policy to show the power of aligning all these fields to make better public policy through data driven decision making.
