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- Faculty Publications (21)
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- All HBS Web (356)
- Faculty Publications (21)
- Web
Online Business Strategy Course | HBS Online
in order to keep up and become successful, continuous education is a must-do. Ozgur TaskayaUser Acquisition Manager at Adcash Make stronger strategic recommendations and recognize the companies that are likely to achieve enduring...
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- 10 Aug 2020
- Blog Post
HBS Summer Fellows Focus on Racial Equity and Justice
The HBS Social Enterprise Initiative aims to educate, support, and inspire leaders to tackle society’s toughest challenges and make a difference in the world. We are committed to the fight for racial justice and to promoting diversity and...
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- Web
Admissions & Financial Aid - MBA
MS/MBA Biotechnology: Life Sciences Admissions & Financial Aid The program seeks a diverse group of outstanding students who have an undergraduate degree in life sciences and/or significant workplace experience in biotechnology or life...
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- September 2020 (Revised February 2024)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- September 2020 (Revised July 2022)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
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Keywords:
Targeting;
Algorithmic Bias;
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- Program
Developing Yourself as a Leader—Virtual
and professional network Extend your network by connecting and working with accomplished executives from various backgrounds, industries, and countries across the globe Build relationships with a diverse group of peers who can provide...
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- Program
Leading in the Digital Era
executives from various backgrounds, industries, and countries around the globe Build relationships with a diverse group of peers who can provide wide-ranging insights into your business challenges and career decisions Who Should Attend...
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- Program
Creating Brand Value
brand and expand your personal and professional network Extend your network by living and working with executives from various backgrounds and countries across the globe Build relationships with a diverse group of peers who can provide...
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- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on...
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Keywords:
Targeted Advertising;
Targeting;
Algorithmic Data;
Bias;
A/B Testing;
Experiment;
Advertising;
Gender;
Race;
Diversity;
Marketing;
Customer Relationship Management;
Prejudice and Bias;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
- Web
Find Answers - MBA
everyone to have a fair chance, so our application and evaluation processes are designed to be clear and accessible. We recommend seeking the guidance of trusted friends, mentors, or family members as you put together your application,...
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- Program
The Women's Leadership Forum
build trust, and work more effectively with a diverse range of colleagues Make decisions with greater confidence under a variety of conditions Take control of your career Identify the best path for your career Assess opportunities for new...
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- Program
Investment Management Workshop
with a diverse group of peers who can provide wide-ranging insights into your business challenges and career decisions Download Brochure Who Should Attend Executives in investment management organizations—including hedge fund firms,...
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- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
View Details
Keywords:
Targeting;
Algorithmic Bias;
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Demographics;
Prejudice and Bias;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and...
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- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The...
View Details
Keywords:
Targeted Advertising;
Discrimination;
Algorithmic Data;
Bias;
Advertising;
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- 28 Sep 2009
- Research & Ideas
Improving Accountability at the World Bank
accountability and effectiveness today? What should it do about them? With a detailed description of the Bank's challenges of democratic accountability, its constraints, and recommendations for the future, HBS professor Alnoor Ebrahim...
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Keywords:
by Alnoor Ebrahim
- Web
Online Management Course | HBS Online
Start preparing for a future managerial role through access to best-in-class tools and frameworks. Meet Raymond, a Management Essentials participant who took the course in order to be more effective in his new role as Manager of Diversity...
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- Program
High Potentials Leadership Program
cons of diverse leadership styles and strategies, you will expand your ability to build productive teams, champion change, lead in a crisis, and create a culture of high performance. This high potentials leadership program is presented...
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- Program
Managing Turbulence
impact in all three areas of strategic leadership. Immersed in a vibrant exchange with renowned HBS faculty and a global group of accomplished peers, you will share diverse perspectives and new industry insights. The opening and capstone...
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- Program
Behavioral Economics—Virtual
Expand your personal and professional network Extend your network by connecting and working with accomplished executives from various backgrounds, industries, and countries across the globe Build relationships with a diverse group of...
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