Developing Actionable Data Farming Decision Support for NATO
Abstract
Data Farming is a process that supports decision makers. The essence of data farming is that it is a question-based approach. The basic question repeatedly asked in different forms is: What if? The core objective of this task group was to apply actionable data farming that could contribute to the development of improved decision making of relevance to NATO forces. The Operation Planning Syndicate addressed the question on how to provide actionable support to decision makers in operation planning. We developed the Data Farming Tool for Operation Planning (DFTOP) to support decision makers and analysts. Initial validation efforts have concluded that DFTOP meets the need of the military planner, and successfully brings Data Farming into the actionable decision support domain. The main goal of the Cyber Defence Syndicate was to explore possible scenarios through data farming that could facilitate the understanding of some aspects of cyber defense. The syndicate members developed the Data-farmable Agent-based Cyber Defence Assessment Model (DACDAM) to support decision-making. The overall conclusion and recommendation to military leaders is that data farming is feasible for NATO and nations, and should be used as a methodology for actionable decision support in operation planning and cyber defense.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2018
- Accession Number
- AD1062145
Entities
Organizations
- NATO