Tech Talk #4
Tech Talk:
accelerating work and innovation
january 11, 2021 at 9am PT / 12PM ET
FEATURING:
MODERATORS:
What is the role of new technologies in accelerating work and innovation?
Topics we’ll explore:
How can teams innovate better and faster?
How can we accelerate remote work?
What is the role of technology in making us innovate faster?
How can we accelerate work processes in times of crises and in general?
What are the trade-offs and costs of accelerating work processes?
And more!
MORE ABOUT THE SPEAKERS:
Amy C. Edmondson: Amy is the Novartis Professor of Leadership and Management at the Harvard Business School, where she has taught for over 20 years. The Novartis chair was established to enable the study of human interactions that lead to the creation of successful business enterprises for the betterment of society. Best known for her groundbreaking work on psychological safety in the workplace, Edmondson is the author of seven books and more than 75 articles and case studies. She has been ranked by the biannual Thinkers50 global list of top management thinkers since 2011 (most recently number 13), and selected in 2019 as the number 1 most influential thinker in Human Resources by HR Magazine. Her most recent book, The Fearless Organization offers practical guidance for leaders of teams and organizations who are serious about success in the modern economy. She also has given two TED Talks.
Michael Bernstein: Michael is an Associate Professor of Computer Science and STMicroelectronics Faculty Scholar at Stanford University, where he is a member of the Human-Computer Interaction Group. His research focuses on the design of social computing and crowdsourcing systems. He has received eight best paper awards at premier computing venues, and he has been recognized with an NSF CAREER award and an Alfred P. Sloan Fellowship. His Ph.D. students have gone on both to industry (e.g., Adobe Research, Facebook Data Science, entrepreneurship) and faculty careers (e.g., Carnegie Mellon, UC Berkeley). Michael holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.
Melissa Mazmanian: Melissa is an Associate Professor in Informatics in the School of Information and Computer Sciences and Associate Professor in Organization and Management in the Paul Merage School of Management (joint) at University of California, Irvine. Her interests revolve around the experience of communication technologies as used in-practice within organizational and personal contexts, specifically in relation to identity projection and the nature of time in the digital age. Melissa has conducted a variety of ethnographic and qualitative research projects on the individual experience and social dynamics that emerge when people adapt to using wireless modes of communication and have a series of publications on these topics. Her work has also been of interest to the popular press.
More about the Moderators:
Hila Lifshitz-Assaf: Hila is an Associate Professor of Information, Operations and Management Sciences at New York University Stern School of Business. She is also a faculty associate at Harvard University, at the Lab for innovation Science. Professor Lifshitz-Assaf’s research focuses on developing an in-depth empirical and theoretical understanding of the micro-foundations of scientific and technological innovation and knowledge creation processes in the digital age. She explores how the ability to innovate is being transformed, as well as the challenges and opportunities the transformation means for R&D organizations, professionals and their work. Hila investigates new forms of organizing for the production of scientific and technological innovation such as crowdsourcing, open source, open online innovation communities, Wikipedia, hackathons, makeathons, etc. Her work received the prestigious INSPIRE grant from the National Science Foundation and has been presented and taught at a variety of institutions including MIT, Harvard, Stanford, INSEAD, Wharton, London Business School, Bocconi, IESE, UCL, UT Austin, Columbia and Carnegie Mellon. Most recently, she received the Industry Studies Association Frank Giarrantani Rising Star award (2017). You can find her publications here.
Sarah Lebovitz: Sarah is an Assistant Professor at University of Virginia McIntire School of Commerce. She recently received her PhD in Information Systems at New York University’s Stern School of Business. Her research utilizes qualitative methods to understand how new technologies transform work, professions, and organizational processes. Sarah’s dissertation explores how professionals are adopting and using AI tools in the field of medical diagnosis. Sarah also examines how hospital managers are making evaluations of which AI tools to adopt, giving rise to new knowledge issues related to the ground truth and data underlying AI tools. Sarah has held multiple roles across industries, functions, and organizational scales including IBM Research, PricewaterhouseCoopers, and The J. M. Smucker Company. She is currently serving as a Fellow for the World Economic Forum's Global Futures Council on the New Economic Agenda.