Deborah Lucas, the Distinguished Professor of Finance at MIT’s Sloan School of Management, and the Director of the MIT Golub Center for Finance and Policy, will discuss the 10-year anniversary of the financial crisis during an #MITSloanExperts Twitter chat on October 30 at 12 p.m. EDT.
As the 10-year anniversary of the great financial crisis approaches, Lucas will focus on answering what have we learned and whether we have made enough progress to prevent a repeat of something similar. Lucas’ recent research has focused on measuring and accounting for the costs and risks of government financial obligations. Her academic publications cover a wide range of topics including the effect of idiosyncratic risk on asset prices and portfolio choice, dynamic models of corporate finance, financial institutions, monetary economics, and valuation of government guarantees. An expert on federal credit programs, she has testified before Congress on budgeting for Fannie Mae and Freddie Mac, student loans, and on strategically important financial institutions.
The host of the chat will be Amy Resnick, editor of Pensions & Investments. Resnick will ask Lucas questions about the future of financial regulation and housing market finance reform, as well as ideas for fostering stronger ties between the regulatory and the academic communities.
To join the chat, be on Twitter on October 30 at 12 p.m. ET and follow the hashtag #MITSloanExperts. Questions can be submitted in advance or in real-time, using #MITSloanExperts.
“Will artificial intelligence help job creation or put people in the unemployment line?” “Who should pay for retraining so employees can adapt to the technological age?” “What role does government play in the future of work?”
These were just some of the questions asked and answered last week during the #MITSloanExperts “Shaping the Future of Work” Twitter chat, featuring MIT Sloan’s Thomas Kochan and hosted by former New York Times reporter Steven Greenhouse.
Over the course of an hour, Kochan answered a host of questions pertaining to the future of work and the issues we face as a society as technology advances. More than 100 users chimed in with questions and comments on topics from how the divisive 2016 election is impacting how we work, to generational differences in how work is approached and viewed.
If you missed it, don’t worry – this Storify summarizes everything that was discussed. Stay tuned to the #MITSloanExperts hashtags for future Twitter chats with our roster of experts and guest hosts.
Kochan, a longtime professor at MIT Sloan, will discuss his research and that of his co-author, Lee Dyer, Emeritus Professor of Human Resources at Cornell University’s ILR School, about the ways in which business, labor, education and government can create a viable social contract.
Thomas Kochan is the George Maverick Bunker Professor of Management, a Professor of Work and Employment Research, and the Co-Director of the MIT Sloan Institute for Work and Employment Research at the MIT Sloan School of Management. He holds a BBA in personnel management as well as an MS and a Ph.D. in industrial relations from the University of Wisconsin.
Join us on Twitter on September 20 at 1 p.m. EDT and follow along using #MITSloanExperts, and potentially win a free copy of Kochan’s book.
Understanding which papers attract critical citations, and what effect they have, gives an insight into how science progresses, says Christian Catalini.
Science advances through researchers sharing their work for others to extend or improve. As Isaac Newton once said, he could see further by “standing on the shoulders of giants”.
But what happens when those shoulders aren’t as sturdy as we thought? Sometimes, citations are negative, pointing out a study’s flaws or even disproving its findings. What role, relevance and impact do these negative citations have on a field as a whole?
There has been little research in this area, because of the difficulty in identifying and classifying such citations. Thanks to advancements in the ability of computers to understand human language, known as natural-language processing, and in the ability to sort and analyse large bodies of text, this is changing. We can now identify such citations and reconstruct the context in which they were made to understand the author’s intentions better. Using such techniques, my colleagues and I have found evidence to suggest that negative citations play an important role in the advancement of science.
The development of autonomous vehicles promises a future of safe and efficient roads, unimpeded by distracted, impaired, aggressive, or deliberately speeding drivers. But to achieve this, the companies involved in developing driverless cars will have to navigate significant obstacles.
The transition from personally controlled to automated vehicles can be likened to the shift that occurred over the past 20 years from brick-and-mortar retail to e-commerce. For traditional storeowners, security depended on door locks, alarm systems, cameras, and access to cash registers. For online retailers, security has to do with networks and software.
Similarly, the safety focus in driverless vehicles will be largely about securing the networks and software that drive the cars. Today’s cars have approximately 100 million lines of code in them. Autonomous cars will have many times more. The companies that manufacture driverless cars will have to actively manage all of the security aspects of the vehicles’ software.
Today’s carmakers have, over time, developed efficient procedures for recalling and fixing vehicles with parts identified as faulty or unsafe. Similarly, with autonomous vehicles, manufacturers will need to devise methods of identifying and fixing problems discovered in software. In many cases, repairs can be done remotely, in the same way that mobile phone and computer makers can send patches over networks. But however fixes are made, management of software supply chains will need to be as efficient as the management of the supply chains for physical parts.