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    Iavor I. Bojinov

    Iavor Bojinov is an Assistant Professor of Business Administration and the Richard Hodgson Fellow at Harvard Business School. He is the co-PI of the AI and Data Science Operations Lab and a faculty affiliate in the Department of Statistics at Harvard University and... View Details

    • 22 Oct 2020
    • Working Paper Summaries

    Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models

    Keywords: by Fiammetta Menchetti and Iavor Bojinov
    • 06 Apr 2020
    • Working Paper Summaries

    A General Theory of Identification

    Keywords: by Iavor Bojinov and Guillaume Basse
    • 13 Aug 2021
    • News

    Managers, Here’s How to Bond with New Hires Remotely

    • 15 Sep 2022
    • Research & Ideas

    Looking For a Job? Some LinkedIn Connections Matter More Than Others

    LinkedIn’s People You May Know (PYMK) feature, which uses an algorithm to suggest new connections to members. LinkedIn constantly improves the algorithm by introducing new versions and testing them using... View Details
    Keywords: by Michael Blanding
    • 30 Mar 2021
    • News

    The message Microsoft is sending to managers after a decline in team connectedness

    • Article

    Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide

    By: Iavor Bojinov and Somit Gupta
    In the past decade, online controlled experimentation, or A/B testing, at scale has proved to be a significant driver of business innovation. The practice was first pioneered by the technology sector and, more recently, has been adopted by traditional companies... View Details
    Keywords: A/B Testing; Experimentation; Data-driven Culture; Product Development; Innovation and Invention; Digital Transformation
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    • 2019
    • Article

    Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading

    By: Iavor I Bojinov and Neil Shephard
    We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
    Keywords: Causality; Nonparametric; Potential Outcomes; Trading Costs; Mathematical Methods
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    • 2023
    • Article

    Balancing Risk and Reward: An Automated Phased Release Strategy

    By: Yufan Li, Jialiang Mao and Iavor Bojinov
    Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
    Keywords: Product Launch; Mathematical Methods; Product Development
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    • 26 Apr 2023
    • In Practice

    Is AI Coming for Your Job?

    prudent approach for knowledge workers is to harness the potential of AI as a complementary tool, amplifying their capabilities and adapting to the evolving landscape of work. Iavor View Details
    Keywords: by Kristen Senz; Technology
    • 2024
    • Working Paper

    Design of Panel Experiments with Spatial and Temporal Interference

    By: Tu Ni, Iavor Bojinov and Jinglong Zhao
    One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
    Keywords: Research
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    • Research Summary

    Overview

    By: Iavor I. Bojinov
    Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
    • March 2022
    • Article

    Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

    By: Fiammetta Menchetti and Iavor Bojinov
    Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
    Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
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    • Web

    Technology & Operations Management - Doctoral

    research, typically developing three publishable papers by the end of the program. Examples of doctoral thesis topics include: Examining how employee non-compete agreements affect entrepreneurship and job... View Details
    • November–December 2023
    • Article

    Keep Your AI Projects on Track

    By: Iavor Bojinov
    AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
    Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
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    • August 2021 (Revised February 2024)
    • Case

    Data Science at the Warriors

    By: Iavor I. Bojinov and Michael Parzen
    The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
    Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States
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    • 2023
    • Working Paper

    Virtual Water Coolers: A Field Experiment on the Role of Virtual Interactions on Organizational Newcomer Performance

    By: Prithwiraj Choudhury, Jacqueline N. Lane and Iavor Bojinov
    Designing management practices to better onboard organizational newcomers working remotely is a key priority for firms. We report results from a randomized field experiment conducted at a large global firm that estimates the performance effects of different types of... View Details
    Keywords: Remote Work; Virtual Water Coolers; Social Interactions; Careers; Field Experiment; Employees; Interpersonal Communication; Internet and the Web; Performance; Personal Development and Career
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    • Web

    Technology & Operations Management - Faculty & Research

    of leather and fossil-fuel-based materials and its focus on shorter product lifespans. Allbirds’ product development process, by contrast, collaborated with suppliers to... View Details
    • Web

    Faculty & Research - Leadership

    despite having... April 2025 (Revised April 2025) Case JPMorganChase: Leadership in the Age of GenAI By: Iavor I. Bojinov , Karim R. Lakhani and David Lane March 2025 (Revised... View Details
    • 2023
    • Working Paper

    Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

    By: Daniel Yue, Paul Hamilton and Iavor Bojinov
    Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
    Keywords: Analytics and Data Science
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