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Virtual ESMT Open Lecture with Chengwei Liu

"Exceptional Successes: Skill or Luck?"

Should we attribute successes to skill or to luck? We are hard-wired to think that the most successful must have done something right to deserve all the attention and rewards. Chengwei’s research provides systematic evidence that luck plays a critical role in exceptional successes, not only in business but also in music, movies, science, and professional sports. A key finding is that more can be gained by paying more attention to the “second best”. 

As a part of the Berlin Science Week, Chengwei Liu, ESMT Berlin professor and expert on luck, will present his latest findings on the topic. The “Top 40 under 40 MBA Professor” will share the secrets of how to quantify luck and how to "get lucky" in a contrarian way. 

Tuesday, November 3, 2020
1:00 p.m. (CEST)

”Exceptional Successes: Skill or Luck?”

Speaker: Chengwei Liu, ESMT Associate Professor of Strategy and Behavioral Science
Moderator: Ingmar Höhmann, Senior Editor, Harvard Business Manager

The event will take place online via Zoom. To attend the event, please register here. After successfully registring, you will receive a confirmation email with the link to the interactive session. To join the interactive session on Zoom, simply follow the link at the time of the event. To avoid any complications we highly recommend joining a couple of minutes before 1:00 p.m. on November 3. 

*Please note, this Open Lecture will be held in English.

About the speaker

Chengwei Liu (PhD, Cambridge) is associate professor of strategy and behavioral Science at ESMT Berlin. He has taught at Cambridge, Oxford, MIT, INSEAD, University of Singapore, Peking University, Warwick and won more than 20 research and teaching awards. Thinkers50 named Chengwei a leading management thinker and Poets&Quants named Chengwei a “Top 40 under 40 MBA Professor”. Chengwei’s book "Luck: A key idea for business and society" summarizes his research on how to quantify and strategize with luck in sports, investment, and business. His current research focuses on how organizations should manage diversity and (re)design themselves in the age of AI.