Dr. Jie Chen is University Statistician at the University of Massachusetts, Boston. She has published extensively on scan statistics, applied probability, and Bayesian spatial models. She has also served as a statistical consultant on numerous collaborative projects in both the natural and social sciences. She is also a Director in Research Design and Analysis Core for the UMass Boston/Dana-Farber/Harvard Cancer Center Partnership Program, funded by the National Institute of Health. She received the B.S. from Beijing University in 1986 and the Ph.D. in statistics from University of Connecticut in 1998.
Jie Chen
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The Macroeconomic Roots of the Collapse of the Political Center in the US
The collapse of America’s political center isn’t a mystery. What looks like a sudden political crisis is really the result of an economy that’s been quietly abandoning ordinary workers for decades.
A Revolution of Falling Expectations: The Macroeconomic Roots of Popular Discontent
The collapse of America’s political center isn’t a mystery. What looks like a sudden political crisis is really the result of an economy that’s been quietly abandoning ordinary workers for decades.
Big Money and the Maine Election: Round 2
The upheaval in Maine’s Senate race has focused attention on candidates and party leaders. Less noticed is what the campaign finance data reveal about the state’s Democratic Party and its structural dependence on national organizations and large out-of-state donors.
Big Money, the Maine Senate Race and US Party Competition: A Tale in Two Pictures
What can one Senate race reveal about the hidden machinery of American politics? In Maine, donor patterns expose how campaign finance can shape party competition, political narratives, and the choices voters are asked to make long before ballots are counted.
Featuring this expert
The AI Boom Runs on an Even More Dangerous Machine (Part 1)
AI is powered by more than algorithms – underneath is a flawed, decades-old corporate operating system that redirects gains away from workers. The good news: It doesn’t have to be this way. Part of “AI and the Future of the American Worker,” a series on how artificial intelligence is impacting labor, power, and the meaning of work.
The Intercept: Donald Trump Exploited Long-Term Economic Distress to Fuel His Election Victory, Study Finds
The Intercept covers a new INET paper from our Research Director Tom Ferguson and his co-authors.
Jacobin Features INET Paper on 2016 Election
Jacobin Magazine features research from INET Research Director Tom Ferguson and co-authors on big business support for Donald Trump in the 2016 campaign.
Reawakening From the Origins of Economic Ideas to the Challenges of Our Time
INET gathered hundreds of new economic thinkers in Edinburgh to discuss the past, present, and future of the economics profession.