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D^3 Insights & Experiences

Exploring Innovative Strategies to Bridge the Wealth Gap: Insights from HBS Alumni

A recent post, “Gravy: Building Generational Wealth”, from D^3’s blackbox Lab, led by James Riley, Principal Investigator of the lab, and Assistant Professor at Harvard Business School, is part of a larger series, highlighting strategies by Harvard Business School alumni to address the U.S. wealth gap, particularly within Black communities. The series explores entrepreneurial approaches […]

Promoting Fair Representation in AI Image Retrieval

As artificial intelligence systems become more prevalent in our daily lives, ensuring these technologies are fair and representative of diverse populations is increasingly critical. A recent study, “Multi-Group Proportional Representation in Retrieval”, conducted by Flavio du Pin Calmon, an Associate Professor of Electrical Engineering at Harvard’s John A. Paulson School of Engineering and Applied Sciences, […]

Key Lessons from Census III on Open Source Software

With an estimated 96% of codebases incorporating Free and Open Source Software (FOSS), it forms the backbone of modern businesses, driving innovation and reducing costs across industries. However, its decentralized and distributed nature makes assessing its health, economic value, and security a significant challenge. The recently released report, Census III of Free and Open Source […]

Teaching through Hip Hop

A recent blog post, “Hip Hop as Pedagogy”, from D^3’s blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, explores hip hop as an educational framework to engage students, bridge cultural gaps, and foster critical thinking. It highlights Dr. Jae Williams, Executive in Residence at Emerson […]

AI-Powered Core Earnings Analysis: A New Frontier in Financial Reporting

Analysis of financial disclosures for publicly traded companies can be a time consuming and costly process these days. In the study, “Scaling Core Earnings Measurement with Large Language Models”, Matthew Shaffer, an Assistant Professor at USC’s Marshall Business School, and Charles C.Y. Wang, the Tandon Family Professor of Business Administration at Harvard Business School, explore […]

Why Being Together Still Matters for Innovation

Since the COVID-19 pandemic, the rise in remote work practices has inarguably created new business opportunities, such as the ability to hire the most qualified candidate for a position regardless of geographical location. However, research from Eamon Duede, Assistant Professor at Purdue University, Misha Teplitskiy, Assistant Professor at the University of Michigan School of Information, […]

Redefining Entrepreneurship: The Power of Acquisition in Business Growth

A recent blog post, “Entrepreneurship Through Acquisition (ETA)”, from D^3’s blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, explores the innovative approach of acquiring existing businesses as a pathway to entrepreneurship. The post, part of a wider series on the blog addressing the wealth gap […]

The Interplay of Integration and Delegation in Firm Organization

In today’s complex global economy, some businesses grapple with fundamental decisions regarding their structure and operations. A core challenge lies in determining when to vertically integrate suppliers and when to maintain external contracts. Recent research by Harvard Business School Professor, Laura Alfaro, and a research team (see the bottom of the page for author details) […]

Scaling Experimentation for a Competitive Edge

In today’s fast-evolving business landscape, the ability to innovate rapidly has become a defining factor for success. Companies like Netflix, Amazon, and Microsoft have leveraged robust experimentation frameworks to enhance decision-making, optimize products, and continue innovating. Iavor Bojinov, Assistant Professor at Harvard Business School and Principal Investigator at the Digital Data Design Institute (D^3) Data […]

A New Era for A/B Testing Accuracy

In an era of data-driven business decision-making, the ability to design experiments that produce reliable, actionable results is essential. In their research, “Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference”, first published in 2022 and updated in 2024, Michael Lindon, research scientist at Netflix; Dae Woong Ham, Assistant Professor at University of Michigan’s Ross […]

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