Helping - Publications - Faculty & Research

Catherine Bouvier d'Yvoire (MBA 1982), director of the Global Strategy Advisory of Citi, sees her role as showing developing countries solutions to their problems. (Published April 2014) View Details

13 Dec 2018
News

HBX Launches Course to Help Startup Leaders Navigate Rapid Growth and Change

27 Mar 2020
News

CPD Taps Alumni Network to Help Students Navigate Crisis

Kristen Fitzpatrick (MBA 2003) Kristen Fitzpatrick (MBA 2003) HBS Career and Professional Development (CPD) has pivoted quickly in recent weeks to help first- and second-year students who are still in need of internships and... View Details

21 Feb 2017
News

How Michael Sheresky Helped Hidden Figures See the Light

Photo via Vanity Fair Photo via Vanity Fair Talent agent Michael Sheresky (MBA 1997) is half of a Hollywood power duo that helped the Oscar-nominated film Hidden Figures become a box office success. A recent feature in Vanity Fair details... View Details

Keywords: Arts, Entertainment

19 Dec 2016
News

Harvard Students Help Mom-and-Pop Shops Get off the Ground

Senior Lecturer Kristin W. Mugford (photo courtesy of Kristin Mugford) Senior Lecturer Kristin W. Mugford (photo courtesy of Kristin Mugford) Students at Harvard Business Schools are taking their education to the streets of Boston to help... View Details

Keywords: retail

2012
Working Paper

Level II Negotiations: Helping the Other Side Meet Its 'Behind the Table' Challenges

By: James K. Sebenius

A long analytic tradition explores the challenge of productively synchronizing "internal" with "external" negotiations, especially focusing on how each side can best manage internal opposition to agreements negotiated "at the table." Implicit in much of this work is... View Details

Keywords: Negotiation; Conflict Management; Agreements and Arrangements; Government and Politics; Mathematical Methods; United States; Germany

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September 17, 2021
Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta

While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details

Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning

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