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How to Solve the Problem of Innovation in Hybrid and Remote Work
November 30, 2022 @ 14:00 - 15:00
IEEE-USA Free Livestream Webinar Solving the problem of innovation in hybrid and remote work is key for tech professionals to seize competitive advantage in the post-pandemic world. Techniques like traditional brainstorming meetings work poorly for hybrid and remote teams. And the lack of hallway conversations impair spontaneous idea generation. That’s why so many leaders want everyone to return to the office. However, research shows that these leaders simply fail to apply best practices for effective user experience to solve the problem of innovation in hybrid and remote work. This presentation will delve into the nuts-and-bolts of two research-based techniques – one for deliberate innovation and one for spontaneous innovation – that tech professionals at forward-looking companies have been using successfully to outpace their competitors. This presentation offers case studies and best practices from these tech professionals that you need to seize an innovation advantage in hybrid and remote work. Learning objectives: – Learn about research on best practices for user experience for innovation in hybrid and remote work – Identify where you and your team might benefit from adopting these best practices to facilitate both deliberate and spontaneous innovation – Assess how your plans for innovation in hybrid and remote work benchmarks to best practices based on behavioral science research and case studies from forward-looking organizations – Develop a plan to adapt these best practices to solving the problem of innovation for yourself and your team Speaker(s): Dr. Gleb Tsipursky, Agenda: ————————————————————— IEEE-USA’s free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. Virtual: https://events.vtools.ieee.org/m/323967