A Discussion of Computer Science Research Directions

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Presentation transcript:

A Discussion of Computer Science Research Directions Bobby Schnabel CEO, ACM CUNY Computer Science Faculty, Nov. 3, 2017

Outline Discussion - Throughout The Evolution of Computer Science Research, Part I Transformation of Computing to a Socio-Technical Field The Evolution of Computer Science Research, Part II (Some) Emerging Areas of Computer Science Research Two Broader, Related Topics to Think About How Computing Impacts Other Industries Technology and the Future of Work Discussion - Throughout

The Evolution of Computer Science Prog Lang Op Sys Theory

Graphics Databases Security Prog Lang Op Sys Theory Soft Eng Sci Comp HCI AI

BIO Health Graphics Databases Prog Lang Op Sys Theory Security Enter tain ment Media Soft Eng Sci Comp HCI AI Transportation

Transformation of computing from a technical field to a socio-technical field A discipline which initially and for many decades was overwhelmingly technical is becoming increasingly integrated with human and societal issues Transition started decades ago with personal computers Accelerated by use of computing for basic human activities such as social networking, health/elder care, autonomous vehicles, …

Ethics BIO Health BIO Health Graphics Graphics Sociology Anthropology Databases Databases Prog Lang Op Sys Theory Prog Lang Op Sys Theory Security Security Enter tain ment Entertain- ment Media Media Soft Eng Soft Eng Sci Comp Local Cultures Sci Comp Psychology HCI AI HCI AI Transportation Transportation Law

Data Science Statistics Ethics BIO Health BIO Health Graphics Graphics Sociology Anthropology Databases Databases Prog Lang Op Sys Theory Prog Lang Op Sys Theory Security Security Enter tain ment Entertain- ment Media Media Local Cultures Soft Eng Soft Eng Sci Comp Sci Comp Psychology HCI AI HCI AI Transportation Transportation Law

Some “Emerging” Areas of Computer Science Research Quantum computing & communication New “conventional” architectures Augmented & virtual reality Deep neural nets, including theory Robotics – fine grain manipulation Intelligent ML (without training sets) Human identification and motion recognition “Big Optimization” – optimizing AI / ML models High performance computing – data / simulation Intelligent cybersecurity Social Intelligence Digital Preservation Ethics and AI

Disruptive Impacts of Computing Advances – Example: Autonomous, Accident Free Vehicles Industries seriously impacted: Driving Careers (taxi, truck, bus) Auto repair Auto insurance Parking garages Driver-training schools Steel Entertainment Other interesting examples: smart homes, drones, healthcare, …

Technology and the Future of Work Some endangered jobs (indicative range): Finance (analysis, insurance, accounting, cashier) Drivers (truck, taxi) Manufacturing Construction (bricklaying, roofing, …) Line cooks Paralegal Global impact, varying estimates, high % Will new jobs arise to replace, or will there be a need for universal basic income, or …?