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the study trip

– a week at a global startup hub –

The program concludes with a week long study trip to a known startup hub. Students will play a key role in the organising of the trip during the course.

Last year’s Fellows travelled to the Valley to explore the human consequence of AI through visits to Stanford, Airbnb, and Instacart to name a few. Last year’s trip was made possible by the Yrjö Uitto Foundation, Nokia, GoFore and Aho Group. A warm thank you to all partners!

This year, the destination will be Israel, kicking off with a joint workshop with Technion –Israel Institute of Technology (see program below).

Overall, the course and the trip was one of the most important time periods of my life

- Aalto Fellow ‘18

A joint 2-days course for Technion MBA students and the 2019 Aalto Fellows class organized on October 27–28, 2019.

A joint 2-days course for Technion MBA students and the 2019 Aalto Fellows class organized on October 27–28, 2019.

Instructors

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Peter Kelly

Peter is an award winning entrepreneurship educator who has, over the past 25 years, worked with more than 30.000 entrepreneurs and students in 27 countries around the world. In addition to Aalto University, he has appointments with Trinity College Dublin, MADA in Santiago Chile, and Sydney School of Entrepreneurship in Australia.

Prior to completing his PhD in Entrepreneurship at London Business School, Peter was a corporate and investment banker at TD Bank where he took a company public and was involved in numerous M&A transactions.

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Ido Erev

Ido is the President Elect of the European Association for Decisions Making, and the Vice Dean in charge of the startup MBA program in the Faculty of Industrial Engineering and Management in the Technion. His research tries to clarify the conditions under which wise incentive systems can solve behavioral and social problems. Among the contributions of this research is the discovery of a robust experience-description gap: People exhibit oversensitivity to rare events when they decide based on a description of the incentive structure, but experience reverses this bias and lead to underweighting of rare events. Comparison of alternative models favors the assumption that people tend to select the option that led to the best outcome in a small sample of similar past experiences. These observations imply that incentives are most effective when they insure that the socially desirable behavior maximizes payoff, and minimizes the probability of regret. Ido serves as consultant to the Israeli Ministry of Finance, and several startup firms.