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  • All HBS Web  (1,475)
    • News  (191)
    • Research  (1,055)
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Show Results For

  • All HBS Web  (1,475)
    • News  (191)
    • Research  (1,055)
    • Events  (20)
    • Multimedia  (8)
  • Faculty Publications  (653)
← Page 7 of 1,475 Results →
  • September 13, 2023
  • Article

How the Best Chief Data Officers Create Value

By: Suraj Srinivasan and Robin Seibert
Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities. It comes as no surprise then that many CDOs fall behind... View Details
Keywords: Value Creation; Analytics and Data Science; Measurement and Metrics; Leadership
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Srinivasan, Suraj, and Robin Seibert. "How the Best Chief Data Officers Create Value." Harvard Business Review (website) (September 13, 2023).
  • 13 Jun 2017
  • Blog Post

MS/MBA: Engineering Sciences – A Q&A with Professor Robert Howe

The first MS/MBA: Engineering Sciences cohort will enroll in the MS/MBA program in August of 2018.The program is a major collaboration between HBS and the Harvard John A. Paulson School of Engineering and Applied View Details
  • 28 Aug 2017
  • News

Email and Calendar Data Are Helping Firms Understand How Employees Work

  • February 2016
  • Article

Bridging Science and Technology Through Academic-Industry Partnerships

By: Sen Chai and Willy C. Shih
Partnerships that foster the translation of scientific advances emerging from academic research organizations into commercialized products at private firms are a policy tool that has attracted increased interest. This paper examines empirical data from the Danish... View Details
Keywords: Economic Development; Technological Change; Government Policy; Technological Innovation; Research and Development; Information Technology; Policy; Technology Industry; Denmark
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Chai, Sen, and Willy C. Shih. "Bridging Science and Technology Through Academic-Industry Partnerships." Research Policy 45, no. 1 (February 2016): 148–158.
  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • 2021
  • Working Paper

Corporate Environmental Impact: Measurement, Data and Information

By: David Freiberg, DG Park, George Serafeim and T. Robert Zochowski
As an organization’s environmental impact has become a central societal consideration, thereby affecting industry and organizational competitiveness, interest in measuring and analyzing environmental impact has increased. We develop a methodology to derive comparable... View Details
Keywords: Environment; Impact; Measurement; Environmental Ratings; Corporate Valuation; Financial Materiality; Sustainability; Environmental Impact; Environmental Strategy; Impact-Weighted Accounts; IWAI; Environmental Sustainability; Corporate Social Responsibility and Impact; Measurement and Metrics; Valuation
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Freiberg, David, DG Park, George Serafeim, and T. Robert Zochowski. "Corporate Environmental Impact: Measurement, Data and Information." Harvard Business School Working Paper, No. 20-098, March 2020. (Revised February 2021.)
  • November 1998
  • Article

Modeling Large Data Sets in Marketing

By: Sridhar Balasubramanian, Sunil Gupta, Wagner Kamakura and Michel Wedel
Keywords: Analytics and Data Science; Marketing
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Balasubramanian, Sridhar, Sunil Gupta, Wagner Kamakura, and Michel Wedel. "Modeling Large Data Sets in Marketing." Special Issue on Large Data Sets in Business Economics. Statistica Neerlandica 52, no. 3 (November 1998).
  • Article

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

By: Seth Neel and Aaron Leon Roth
Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
  • December 2011
  • Article

Data Impediments to Empirical Work on Health Insurance Markets

By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton
We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details
Keywords: Competition; Analytics and Data Science; Market Participation; Insurance Industry
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Dafny, Leemore S., David Dranove, Frank Limbrock, and Fiona Scott Morton. "Data Impediments to Empirical Work on Health Insurance Markets." B.E. Journal of Economic Analysis & Policy 11, no. 2 (December 2011).
  • Research Summary

Overview

Associate Professor Yael Grushka-Cockayne's research and teaching activities focus on data science, forecasting, project management, and behavioral decision-making. View Details
Keywords: Data Science; Project Management; Forecasting; Behavior And Behavioral Decision Making
  • November 2023
  • Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier
The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details
Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry
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Raab, René, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener, and Bjoern Eskofier. "Federated Electronic Health Records for the European Health Data Space." Lancet Digital Health 5, no. 11 (November 2023): e840–e847.
  • Web

Web of Science | Baker Library

Web of Science Complete bibliographic data plus citations and abstracts to journal articles across a wide range of scientific, technological, social sciences, arts, and humanities disciplines. Read More... View Details
  • 2010
  • Book

The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance

By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details
Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry
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Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
  • October 2021
  • Case

CrisisReady: Private Data for Public Good

By: Tarun Khanna and James Barnett
In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details
Keywords: Decision Making; Ethics; Globalization; Governance; Government and Politics; Intellectual Property; Science; Technology
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Khanna, Tarun, and James Barnett. "CrisisReady: Private Data for Public Good." Harvard Business School Case 722-362, October 2021.
  • May 2018
  • Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
  • 12 Dec 2023
  • Blog Post

Bridging Science and Business: My Summer Internship at Eli Lilly

Johnson's JJDC to AI and Data Strategy at Moderna, and even philanthropic efforts in Alzheimer's research within Bill Gates' private investment office, my classmates and I didn't just scatter across the biotech industry—we purposefully... View Details
  • Article

Some Uses of Happiness Data in Economics

By: Rafael Di Tella and Robert MacCulloch
Keywords: Happiness; Analytics and Data Science; Economics
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Di Tella, Rafael, and Robert MacCulloch. "Some Uses of Happiness Data in Economics." Journal of Economic Perspectives 20, no. 1 (Winter 2006): 25–46.
  • March 2019
  • Case

Wattpad

By: John Deighton and Leora Kornfeld
How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details
Keywords: Platform Businesses; Creative Industries; Publishing; Data Science; Machine Learning; Collaborative Filtering; Women And Leadership; Managing Data Scientists; Big Data; Recommender Systems; Digital Platforms; Information Technology; Intellectual Property; Analytics and Data Science; Publishing Industry; Entertainment and Recreation Industry; Canada; United States; Philippines; Viet Nam; Turkey; Indonesia; Brazil
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Deighton, John, and Leora Kornfeld. "Wattpad." Harvard Business School Case 919-413, March 2019.
  • May 2009 (Revised October 2009)
  • Case

Verne Global: Building a Green Data Center in Iceland

Verne Global, a pioneering startup created to build the first large-scale data center in Iceland, faces critical challenges regarding its green strategy. Verne Co-Founder Isaac Kato is tasked with evaluating how the company can most successfully market and sell the... View Details
Keywords: Buildings and Facilities; Business Startups; Marketing Strategy; Product Marketing; Sales; Environmental Sustainability; Pollutants; Green Technology Industry; Service Industry; Iceland
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Steenburgh, Thomas J., and Nnamdi Daniel Okike. "Verne Global: Building a Green Data Center in Iceland." Harvard Business School Case 509-063, May 2009. (Revised October 2009.)
  • 14 Sep 2018
  • Blog Post

10 Things I Learned During My First Month in the MS/MBA: Engineering Sciences Program

skills with big-picture business vision. I chose Harvard’s MS/MBA: Engineering Sciences Program to become a strong leader while also refining the skills I would need to succeed in deeply technical fields.  I arrived in Boston on an... View Details
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