Machinery and Machining - Publications - Faculty & Research

November 2021 (Revised December 2021)
Supplement

PittaRosso (B): Human and Machine Learning

This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details

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April 1980 (Revised December 1991)
Case

Hampton Machine Tool Co.

A bank lending officer must decide whether to extend and increase a loan to a small machine tool company. Case provides sufficient data for preparation of cash budgets and pro forma financial statements in order to analyze the lending officer's problem. Other issues... View Details

Keywords: Machinery and Machining; Financing and Loans; Financial Statements; Manufacturing Industry

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Research Summary

Making Machine Learning Models Fair

By: Himabindu Lakkaraju

The goal of this research direction is to ensure that the machine learning models we build and deploy do not discriminate against individuals from minority groups. View Details

August 2024
Background Note

Mitigating Climate Change with Machine Learning

By: Michael W. Toffel, Kelsey Carter, Amy Chambers, Avery Park and Susan Pinckney

This note highlights how machine learning is being used to decarbonize (reduce GHG emissions) several key sectors including electricity, transportation, building, industrial processes, and agriculture -- and how machine learning is being used to accelerate efforts to... View Details

Keywords: Climate; Artificial Intelligence; Adaptation; Climate Change; AI and Machine Learning; Innovation and Invention

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February 1987 (Revised July 1988)
Background Note

Machine Tool Industry and Industrial Policy--1955-82

By: George C. Lodge and David J. Collis

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Leverage AI to be a 10x Founder

Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals... View Details

26 Feb 2018
Working Paper Summaries

Different Strokes for Different Folks: Experimental Evidence on Complementarities Between Human Capital and Machine Learning

Keywords: by Prithwiraj Choudhury, Evan Starr, and Rajshree Agarwal; Information Technology

October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

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Research Summary

Making Machine Learning Models Interpretable

By: Himabindu Lakkaraju

I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details

14 Mar 2023
Cold Call Podcast

Can AI and Machine Learning Help Park Rangers Prevent Poaching?

Keywords: Re: Brian L. Trelstad; Computer; Information Technology; Technology

May 1977 (Revised October 1989)
Case

International Business Machines (F): Contracting for the Development and Manufacture of a New Machine

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April 2025
Background Note

Climate Change Adaptation with Artificial Intelligence and Machine Learning

By: Michael W. Toffel and Nabig Chaudhry

Artificial Intelligence (AI) and machine learning (ML) have emerged as powerful tools to address climate change. This note summarizes a wide range of the uses of AI/ML to drive climate change adaptation and resilience, the measures organizations and governments are... View Details

Keywords: Climate Change; Adaptation

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Educators

Government agencies can use machine learning to improve the effectiveness of regulatory inspections. Our study found that OSHA could prevent as much as twice as many injuries—translating to up to 16,000 fewer workers injured and nearly $800 million in social... View Details

December 2010 (Revised March 2015)
Case

The Wright Brothers and Their Flying Machines

By: Tom Nicholas and David Chen

Wilbur (1867-1912) and Orville (1871-1948) Wright were fascinated by the mystery of flight and they built on the ideas of prominent earlier figures such as Octave Chanute (1832-1910) the French-born American who was influential in fostering the free exchange of ideas... View Details

Keywords: Entrepreneurship; Business History; Technological Innovation; Patents; Knowledge Sharing; Air Transportation; Air Transportation Industry; Europe; United States

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1999
Working Paper

Machines and Mindlessness: Social Responses to Computers

By: Clifford Nass and Youngme Moon

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November 1973
Article

Men and Machines in Indonesia's Light Manufacturing Industry

By: Louis T Wells Jr

Keywords: Production; Machinery and Machining; Manufacturing Industry; Indonesia

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2020
Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang

We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details

Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science

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February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

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