The American engine of progress and prosperity is in serious trouble. Innovation has stalled. The number of good, middle-class jobs is dwindling. Wealth and opportunity are increasingly concentrated in a few coastal megacities. And cultural divides are widening. How do we turn this tide?
The answer lies in science — specifically, government-funded science. Investment in science is the ultimate pro-growth policy: It leads to more invention, higher productivity and broad-based economic development.
According to our research, if the U.S. government were to boost funding by $100 billion per year with strategic, geographically dispersed investments and initiatives, the result would be roughly 4 million new jobs.
Pamella Gonçalves, MIT Sloan Management alumna, MBA ’17.
The practice of Urban Analytics is taking off within the real estate industry. Data science and algorithmic logic are close to the forefront of new urban development practices. How close? is the question — experts predict that digitization will go far beyond intelligent building management systems. New analytical tools with predictive capabilities will dramatically affect the future of urban development, reshaping the real estate industry in the process.
In his introduction to ‘Smart Cities,’ Anthony Townsend raises the issue clearly: “Today more people live in cities than in the countryside, mobile broadband connections outnumber fixed ones and machines outnumber people on a new Internet of Things.” Yet neither the glossy marketing of major IT players such as IBM and Cisco nor the dystopian theories of critical scientists like Adam Greenfield admit that the digital revolution washing over cities has yet to be fully evidenced. Instead, over the last decade we have witnessed the slow emergence followed by strong growth of the computational paradigm applied to urban planning and real estate.
MIT Sloan Visiting Lecturer Irving Wladawsky-Berger
From The Wall Street Journal
People have long feared that machines are coming for our jobs. Throughout the Industrial Revolution there were periodic panics about the impact of automation on work, going back to the so-called Luddites, textile workers who in the 1810s smashed the new machines that were threatening their jobs.
Automation anxieties have understandably accelerated in recent years, as our increasingly smart machines are now being applied to activities requiring intelligence and cognitive capabilities that not long ago were viewed as the exclusive domain of humans. But on balance, such fears appear to be unfounded, noted the World Bank in a comprehensive recent report on The Changing Nature of Work. Our problem is not that there won’t be enough work in the future. Our key problem is that, in many countries, the workforce is not prepared for our fast unfolding future.
Yves St Laurent studied under Dior. Donna Karen worked for Anne Klein. Tom Ford was a design assistant to Cathy Hardwick. Starting a career as a fashion entrepreneur, or in any of the creative industries, does not follow the typical entrepreneur’s journey. In fashion, the apprenticeship model reigns supreme.
Roberta Annan started the African Fashion Fund (AFF) in part to make it possible for African designers to have access to global apprenticeships. “I believe in apprenticeship. It’s so important. If you look at all the major fashion brands in this world, they worked under somebody before they became big. I wanted to find a way to promote that,” she said. Through their fellowship program, AFF has helped placed African designers in apprenticeships in New York with designers such as Bibhu Mohapatra and EDUN of LVMH. AFF covers all of the associated costs.
Daron Acemoglu, Elizabeth and James Killian Professor of Economics, MIT Sloan School of Management
From Project Syndicate
In the Middle Ages, Italian city-states led the European “commercial revolution” with innovations in finance, trade, and technology. Then something strange happened. In 1264, to take one example, the people of Ferrara decreed that, “The magnificent and illustrious Lord Obizzo … is to be Governor and Ruler and General and permanent Lord of the City.” Suddenly, a democratic republic had voted itself out of existence.
In fact, this was not an uncommon occurrence in Northern Italy at the time. As Niccolo Machiavelli explains in The Prince, the people, seeing that they cannot resist the nobility, give their support to one man, in order to be defended by his authority. The lesson is that people will abandon democracy if they are worried that an elite has captured its institutions.
Medieval Italy’s democratic institutions succumbed to what we might now call populism: an anti-elitist, anti-pluralistic, and exclusionary strategy for building a coalition of the discontented. The method is exclusionary because it relies on a specific definition of “the people,” whose interests must be defended against not just elites, but all others. Hence, in the United Kingdom, the Brexit leader Nigel Farage promised that a vote for “Leave” in 2016 would be a victory for the “real people.” As Donald Trump told a campaign rally the same year, “the other people don’t mean anything.” Likewise, former Colombian President Álvaro Uribe often speaks of the “gente de bien” (the “good people”).