The acceleration of technology has led to remarkable benefits for business and the economy – but what about people earning middle- and base-level incomes?
Join MIT Sloan Experts’ (@mitsloanexperts) #FutureofWork Twitter chat with Erik Brynjolfsson (@erikbryn), director of the MIT Initiative on the Digital Economy, as he discusses how digital innovations can create a more inclusive, productive and sustainable future for all. Tim O’Reilly (@timoreilly), founder and CEO of O’Reilly Media, will host the chat and ask Erik questions that will help guide the conversation.
The chat will take place on Wednesday, April 13, from 7 p.m. to 8 p.m. EST.
How do you get involved? It’s simple! If you have a question or a response to one of Tim O’Reilly’s questions, just include “#FutureofWork” in your tweet.
The #FutureofWork Twitter chat will promote registration for the MIT Inclusive Innovation Competition, open from March 1 – June 1, 2016, which celebrates organizations that create economic opportunity in the digital era.
When considering where to go on an MBA Technology Trek, Seattle was a no-brainer.
It wasn’t just that the city is home to some of the world’s leading technology companies, but Seattle has successfully created a technology innovation ecosystem — one that spawned many of the past few year’s largest tech IPOs. It is the philosophy of not resting on one’s laurels that has created longevity in Seattle’s companies, and provided important lessons for MBA students. My goal on a recent MIT Sloan Technology Trek was to understand the strategies, cultures, and goals that have propelled Seattle companies’ long-term success.
For all the advances in both medicine and technology, patients still face a bewildering array of advice and information when trying to weigh the possible consequences of certain medical treatments. But a hands-on, data-driven tool I have developed with some colleagues can now help patients obtain personalized predictions for their recovery from surgery. This tool can help patients better manage their expectations about their speed of recovery and long-term effects of the procedure.
People need to be able to fully understand the possible effects of a medical procedure in a realistic and clear way. Seeking to develop a model for recovery curves, we developed a Bayesian modeling approach to recovery curve prediction in order to forecast sexual function levels after prostatectomy, based on the experiences of 300 UCLA clinic patients both before radical prostatectomy surgery and during the four years immediately following surgery. The resulting interactive tool is designed to be used before the patient has a prostatectomy in order to help the patient manage expectations. A central predicted recovery curve shows the patient’s average sexual function over time after the surgery. The tool also displays a range of lighter-colored curves illustrating the broader range of possible outcomes.
There’s been quite the brouhaha lately about disruptive innovation. On one side is Harvard Prof. Clay Christensen (author of The Innovator’s Dilemma) and his long-prevailing theory about how disruptive innovation drives incumbents out of the market. On the other side is Jill Lepore and her attack of Christensen’s theory in The New Yorker. It’s an interesting issue: Do disruptive innovations almost always lead to the downfall of incumbent companies? Is their only hope to “disrupt” themselves?
Along with Joshua Gans of the University of Toronto and David Hsu of Wharton, I conducted a study on the speech recognition industry over the last 58 years. We found a surprising pattern among entrants that adopted disruptive technologies: Instead of always going head-to-head with incumbents, they often adopted a dynamic commercialization strategy in which they started out competing against them, but later switched to cooperating with them (e.g. by licensing their technology). To understand how this can happen, we need to review what it means for a technology to be “disruptive.”