全球智库信息集成服务系统

• Collaboration is essential to data science.
• DIA must decide on what it wants to achieve through data science. It must decide whether to have an organic data science capacity or acquire data science products from outside.
• DIA must also figure out the workforce skills it needs to achieve the desired output. It would be sensible to employ contract personnel, government civilians, and active-duty military personnel to ensure the broadest representation of technical skills and subject-matter expertise.
• Training managers and leaders will be critical to embedding data science into the organization.

This report addresses and recommends potential methods for the Defense Intelligence Agency (DIA) to identify, hire, and organize data scientists. The authors examine data science activities in the private sector and university-level data science training and also explore hiring and retention options for creating a data science capability within DIA. They also examine the results of interviews with DIA employees. The authors recommend that DIA create its own data science capability with a mix of government experts and contractors capable of managing activities unique to military intelligence operations and that DIA establish a center of excellence to oversee and promote data science activities, development, and training.

• Chapter One

  Introduction

• Chapter Two

  Data Science Activities in the Private Sector

• Chapter Three

  Data Science Education

• Chapter Four

  Identifying and Defining Data Science Specialties

• Chapter Five

  Data Science Capability in DIA Today

• Chapter Six

  Building and Maintaining a Data Science Capability

• Chapter Seven

  Organizing Data Science at DIA

• Chapter Eight

  Building DIA’s Data Science Capability: Findings and Recommendations

• Appendix A

  Interview Protocol

• Appendix B

  Notional Data Science Position Descriptions

• Appendix C

  Methodology