AI & BIG DATA IN FINANCE
RESEARCH FORUM
ABFR events are held as Zoom webinars and are open to all. If you would like to receive updates about these events, please join our mailing list. We will send out the Zoom links to access the webinar over our mailing lists. A Zoom link will also be available on this website one hour prior to the presentation. Recordings of past events will be available on the ABFR YouTube channel. Please direct any inquiries related to the forum to abfrforum@gmail.com.
SEPTEMBER 30, 2021 | 12-1 PM EST
SHARAD GOEL
Harvard Kennedy School
THE MEASURE AND MISMEASURE OF FAIRNESS: A CRITICAL REVIEW OF FAIR MACHINE LEARNING
Discussant: Jann Spiess (Stanford GSB)
Host: Maryam Farboodi (MIT)
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OCTOBER 26, 2021 | 12-1 PM EST
ERIK BRYNJOLFSSON
Stanford University
TBA
Discussant: TBA
Host: Maryam Farboodi (MIT)
NOVEMBER 18, 2021 | 12-1 PM EST
GERARD HOBERG
University of Southern California
SCOPE, SCALE AND COMPETITION: THE 21ST CENTURY FIRM
Discussant: David Robinson (Duke University)
Host: Lin William Cong (Cornell University)
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FEBRUARY 25, 2021 | 12-1 PM EST
STEFAN NAGEL
University of Chicago
MARKET EFFICIENCY IN THE AGE OF BIG DATA
Discussant: Kent Daniel (Columbia University)
Host: Svetlana Bryzgalova (London Business School)
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MARCH 25, 2021 | 12-1 PM EST
LAURA VELDKAMP
Columbia University
A GROWTH MODEL OF THE DATA ECONOMY
Discussant: Ezra Oberfield (Princeton University)
Host: Maryam Farboodi (MIT)
APRIL 29, 2021 | 12-1 PM EST
WEI JIANG
Columbia University
FROM MAN VS. MACHINE TO MAN + MACHINE: THE ART AND AI OF STOCK ANALYSES
Discussant: Francesco D'Acunto (Boston College)
Host: Lin William Cong (Cornell University)
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MAY 27, 2021 | 12-1 PM EST
BRYAN KELLY
Yale University
IS THERE A REPLICATION CRISIS IN FINANCE?
Discussant: Andrew Karolyi (Cornell University)
Host: Markus Pelger (Stanford University)
JUNE 24, 2021 | 12-1 PM EST
DARON ACEMOGLU
MIT
FUTURE OF WORK: UNDER THE THREAT OF AI AND EXCESSIVE AUTOMATION
Discussant: Joshua Gans (University of Toronto)
Host: Lin William Cong (Cornell University)
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AUGUST 26, 2021 | 12-1 PM EST
SUSAN ATHEY
Stanford University
MACHINE LEARNING WHO TO NUDGE- CAUSAL VS PREDICTIVE TARGETING IN A FIELD EXPERIMENT ON STUDENT FINANCIAL AID RENEWAL
Discussant: Dean Eckles (MIT)
Host: Markus Pelger (Stanford University)