Driving Innovation In the U.S. Air Force

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Headquarters U.S. Air Force I n t e g r i t y - S e r v i c e - E x c e l l e n c e Driving Innovation In the U.S. Air Force Chris Shank Briefing to Aeronautics & Space Engineering Board 11 Oct 2017

Findings of the Defense Innovation Board (1/2) DoD is unprepared to meet new threats DoD is not technologically, organizationally, procedurally, or culturally equipped to outpace our adversaries in the years ahead How we got here: DoD no longer dominates technological innovation the private sector does, and little-known companies are producing the most leading-edge solutions in software development, artificial intelligence, and machine learning DoD processes are not fast or agile enough to put technological solutions in warfighters hands and meet immediate threats DoD s leadership and grassroots understand the need for change, but the frozen middle kills new ideas because it doesn t know how to incorporate them DoD s command structure rewards conformity and avoiding risk the very concept that undermines the entrepreneurial spirit needed to keep pace with new threats 2

Defense Innovation Board Findings (2/2) Defense Innovation Board found that: Many in DoD want to change, but don t know how to break out of a multi-billion dollar system and infrastructure that is resistant to modification Those who resist change are not unreasonable people, but believe change is too risky to undertake, with uncertain consequences It is far riskier to do nothing or adopt change at the margins because that is a recipe for long-term strategic and technological inadequacy against adversaries that are more agile and free of cumbersome processes Without an exponential (i.e. algorithm-driven) uptick in the speed at which we engage our adversaries, we will be at a significant disadvantage 3

4

Need for Change is Recognized Office of Transformational Innovation created to identify, demonstrate and execute changes within Air Force acquisition processes to deliver better capability, faster and cheaper Bending the Cost Curve (BTCC) Initiative to address the unsustainable escalation in weapon system costs and development times through dialogue with industry, innovative acquisition strategies, and actions OTA v. FAR Acquisition Wargames for Procurement Strategies Crawl Walk Teleport It is not that I'm so smart. But I stay with the questions much longer. 5

R&D Funding Trend Ratio of U.S. R&D to Gross Domestic Product 1953-2013 Source: National Science Foundation, National Center for Science and Engineering Statistics, National Patterns of R&D Resources (annual series) 6

Top 20 Industry R&D Spenders 2016 Global Innovation 1000 Study Strategy + Business Magazine Combined just the first seven companies spend more on R&D than DoD $84.8B 7

Comparison of R&D Investments $200.0 $180.0 $160.0 $140.0 $120.0 Annual Research Investment - 2016 $179.3 $100.0 $80.0 $86.0 $60.0 $40.0 $28.1 $20.0 $0.0 $0.4 $1.2 $2.5 Air Force Basic Research Air Force Applied Research Air Force S&T (total) $9.0 IRAD Investment $15.0 DoD S&T Air Force RDT&E DoD R&DTE Top 20 in Industry 8

AFRL S&T Business Model Investments Air Force* Inputs $225 M Academia $802 M Small Business Products Basic Research Intellectual Property $2,587M External $2,289M AFRL Workforce $3,245 M Industry $604M Technology Base Advanced Demonstrations $4.876B Total Funds FY17 In-House Fielded Capabilities $96 M** International Collaboration *Includes SDPE ** In kind support 9

AFRL: Turning Science into Capability 10

Game Changers Hypersonics Survivable, fast-flying Defeat deep-layered A2/AD strategies Directed Energy High Power Microwave alternative to kinetic weapons Lasers with air & ground selectable effects & reduced collateral damage Autonomy Decisions at speed of computing Self-awareness & troubleshooting intelligence Quantum Computing, Synthetic Bio, Advanced Additive Manufacturing, Microelectronics, Optimized Human Performance, Neuromorphic Computing, Electronic Warfare, Alternative Navigation, Nano-energetics, Space Based Ops Others 11

Other Game Changing Technologies Neuromorphic Computing Bio and Life Sciences Quantum Computing D-wave Machine Machine Learning Metamaterials

Enabling Future Capabilities Additive Manufacturing Alternative Navigation Networked Capabilities Electronic Warfare Space Nano-Energetics Human Performance Modeling & Simulation 13

Questions? Lunch? 14