Conference Details - Agenda
September 10-11, 2014
9:00 - 9:45
Keynote #1 - The Second Machine Age
Like steam power and electricity before it, the explosion of digitally enabled technologies is radically transforming the landscape of human endeavor. Astonishing progress in robotics, automation, and access to information presents major challenges for institutions from small businesses and communities to large corporations and governments, but it also creates opportunities to rethink how we live and work in profoundly positive ways.
1:45 - 2:15
Nowcasting and Placecasting Growth Entrepreneurship
Two novel methods help identify growth potential in firms that have met a simple but fundamental requirement for growth — incorporation. Placecasting tracks changing locational patterns of growth entrepreneurs over time, while Nowcasting develops an index of current growth entrepreneurship activity based on the number of incorporations comparable to past companies that showed high likelihood of achieving a growth outcome.
2:15 - 3:00
How Will Entrepreneurship Change?
Increasingly, recent graduates and other young people entering the workforce want to start companies of their own rather than find one to work for. As the economic and technological landscape continues to shift in the wake of the digital revolution, what capabilities must they cultivate? How will entrepreneurial activities change in response to the new business environment? And what can established companies learn from the next wave of entrepreneurial innovation?
3:15 - 4:00
One Robot for Every Task
The digitization of practically everything coupled with the mobile Internet, automation, and advanced robotics promises a future with democratized use of machines and wide-spread customization. Increasingly, cognitive machines and technologies for rapidly designing and fabricating new, more capable robots have the potential for broad-based impact, from manufacturing and construction to health-care, smart cities, transportation and other facets of everyday life.
4:00 - 4:30
Factories of the Near Future
Advances in hardware, computation, and sensing enable robots to perform an increasing percentage of traditionally manual tasks, yet often workers cannot be removed from the process entirely. Harnessing the relative strengths of workers and robots to optimize manufacturing processes for the near future requires adaptive work-sharing and scheduling algorithms to coordinate collaboration on two levels: one-to-one worker/robot teamwork and factory-level sequencing.