Data Farming in Support of NATO
Abstract
Data Farming is a process that has been developed to support decision-makers by answering questions that are not currently addressed. Data farming uses an inter-disciplinary approach that includes modelling and simulation, high performance computing, and statistical analysis to examine questions of interest with large number of alternatives. Data farming allows for the examination of uncertain events with numerous possible outcomes and provides the capability of executing enough experiments so that both overall and unexpected results may be captured and examined for insights. In 2010, the NATO Research and Technology Organization started the three-year Modeling and Simulation Task Group Data Farming in Support of NATO to assess and document the data farming methodology to be used for decision support. This final report documents the completed work of this Task Group, designated MSG-088. It includes a description of the six realms of data farming as well as the two case studies performed during the course of MSG-088. This report leverages the knowledge of data farming experts to codify data farming, describing how best to perform data farming to gain insight into questions in support of decision makers.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2014
- Accession Number
- ADA604058
Entities
People
- Bernt Akesson
- Daniel Kallfass
- Esa Lappi
- Gary Horne
- Jens Hartmann
- Markus Holscher
- Max Britton
- Maxwell Bottiger
- Risto Bruun
- Steve Anderson
Organizations
- NATO Science and Technology Organization