A complex systems approach to soil informatics and taxonomies
Abstract
We propose a one-year research program of five sub-projects, which is aimed at the development of advanced predictive analytics tools for tradespace exploration from big data. These tools will be designed to support tradespace exploration platforms where multiple objectives and competing constraints with incomplete and/or imperfect information are the norm. We will develop these tools in our new data analytics platform for exploration of complex systems. This recent capability has been tested on a wide range of experimental and numerical data sets from laboratories around the world and has been systematically expanded across the four data dimensions (4Vs): type (variety), fidelity (veracity), size (volume) and processing speed (velocity). The proposed projects will be undertaken in cooperation with members of ITL-ERDC. Tordesillas will travel to ERDC for a period of 1-2 weeks in January-March 2017 to meet with staff to discuss the data analytics tools being developed and their implementation to different problems of interest to ITL-ERDC. These interactions are expected to help identify a joint research program encompassing a variety of topics on big data analytics. It is anticipated that the data analytics tools will be ultimately implemented by ITL-ERDC in a parallel computing environment under the US DoD High Performance Modernization Program. Consequently, the joint research program will be undertaken under a five-year Cooperative Agreement Grant between researchers from the University of Melbourne School of Mathematics and Statistics and ITL-ERDC.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510527
Entities
People
- Antoinette Tordesillas
Organizations
- Army Contracting Command
- University of Melbourne