Marat Salikhov

msalikhov@nes.ru

Assistant Professor, New Economic School

Assistant Professor, Moscow School of Management Skolkovo

Ph. D. in Technology and Operations Management, INSEAD, 2019


Research interests: data analytics, probabilistic forecasting, wisdom of crowds.

Teaching interests: business analytics, core operations management, data science for business.

Research

Published and accepted papers

  • [1] Bias, Information, Noise: The BIN Model of Forecasting [SSRN][journal]

    with Ville Satopää, Philip Tetlock and Barbara Mellers, accepted at Management Science

  • [2] Are Goals Scored Just Before Half Time Worth More? A Soccer Myth Statistically Tested [link]

    with Henrich R. Greve, Jo Nesbø and Nils Rudi, published at PLOS ONE

  • [3] Decomposing the Effects of Crowd-Wisdom Aggregators: The Bias-Information-Noise (BIN) Model [SSRN] [journal]

    with Ville Satopää, Philip Tetlock and Barbara Mellers, accepted at International Journal of Forecasting

Articles under Review/Working papers

  • [4] Job Market Paper: Information Elicitation from Teams of Privacy-Conscious Experts [SSRN]

    with Ruslan Momot

  • [5] A Disquieting Lack of Evidence for Disintermediation in a Home-Cleaning Platform Data [SSRN]

    with Ekaterina Astashkina, Robert Bray, and Ruslan Momot

  • [6] Forecasting Demand for New Products: Combining Subjective Rankings with Sales Data [SSRN]

    with Nils Rudi, major revision at Management Science

  • [7] Impact of Workforce Flexibility on Customer Satisfaction: Empirical Framework & Evidence from a Cleaning Services Platform

    with Ekaterina Astashkina and Ruslan Momot, available upon request

  • [8] Accounting-based Incentives Can Induce Cyclical Inventory Build-ups [SSRN]

    with Paul Parker, Jurgen Mihm, Dana Popescu and Nils Rudi


Teaching

2022
Operations Analytics, Instructor, New Economic School, Moscow.

Bachelors of Arts in Economics Elective

2021
Introduction to Operations Management, Instructor, New Economic School, Moscow.

Master of Arts in Finance Core

2018
Data Science for Business Tutorials, INSEAD, Singapore.

MBA Elective

2016
Probability and Statistics Tutorials, INSEAD, Fontainebleau, France.

PhD core course
Teaching Assistant to Prof. Zoumpoulis.

2015-2016
Decision-Making Under Uncertainty Tutorials, INSEAD, Fontainebleau, France.

Sberbank 500 Executive Education program

2015
Business Model Innovation Tutorials, INSEAD, Fontainebleau, France.

Sberbank 500 Executive Education program

2013–2014
Microeconomics, New Economic School, Moscow, Russia.

Teaching Assistant for the Graduate Microeconomics course at a MA program