The Imperial College Robotics Forum and the Department of Economics & Public Policy at Imperial College Business School invite you to attend an online workshop to explore future labour markets, robots, and economic policy reforms.
A 2017 policy report cautions that there are certain industries where more than 50% of the jobs can be replaced by automated machines that include robots. A follow-up report in 2019 also shows that these jobs disproportionately include women and minority ethnic communities. This workshop will engage stakeholders to explore policy reforms to empower the affected segments of the labour force to shift focus on robot assisted self-employment.
Agenda:
14:00 – 14:05 Welcome and Introductory address
- Thrishantha Nanayakkara (Speaker of the Imperial Robotics Forum)
- Tommaso Valletti (Head of the Department of Economics and Public Policy, Imperial College Business School)
14:05 – 15:25 Plenary session
What do we know about robot design and deployment trends
- Yiannis Demiris (Homes/Personal robotics), Imperial College London
- Panagiotis Angeloudis (Autonomous driving), Imperial College London
- Ferdinando Rodriguez y Baena (Health), Imperial College London
Industry complements and challenges. Contributions by industry representatives
- Rich Walker, Shadow Robot Company
- Charles Collis, Dyson
- Dermot Lynch, ABB
- Bryn Balcombe, Autonomous Drivers Alliance (ADA), ITU Focus Group on AI for Autonomous and Assisted Driving
- Neil Lawrence, University of Cambridge (Machine learning)
- Stanislav Ivanov, Varna University of Management (Hospitality Industry & Tourism)
- Iis Tussyadiah, University of Surrey (Hospitality Industry & Tourism)
15:05 – 15:25 Keynote by Professor Daron Acemoglu, MIT Economics (and Q&A)
15:25 – 15:55 Breakout sessions
Break out sessions on Infrastructure, Home and hospitality, and Health.
15:55 – 16:55 Plenary Report back and roundtable
Policy roundtable on challenges and questions going ahead.
- Guy Michaels, LSE
- Jeff Schwartz, Deloitte
- Andrew Green, OECD
- Gino Gancia, Queen Mary University
- Jan Hoffmann, UNCTAD