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Data & Analysis

Data has the power to unlock unprecedented insights. And while the promise of data is ubiquitous, there’s a long way to go before that potential is fully realized. Many questions still linger for data stewardship, from ensuring truly clean data to collecting data without being creepy.

Data Science and Social Impact: A collaboration between Howard University and D^3’s Blackbox Lab

In their recent blog post, “Partnering Data Science and Social Impact at Howard University”, D^3’s blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, showcases how their partnership with Howard University empowers students and faculty to leverage data-driven solutions for addressing real-world challenges in underrepresented communities. […]

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 […]

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 […]

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 […]

Shaping the Future of Innovation: Insights from PyTorch’s Governance Transformation

In the rapidly evolving world of technology and open collaboration, companies face a paradox: how much control to maintain over the technologies they develop while providing access to foster innovation and attract external contributions. In their study, “Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration,” authors Daniel Yue, Assistant Professor at the […]

Leveraging Machine Learning for Safer Workplaces

Regulatory agencies like the Occupational Safety and Health Administration (OSHA) and the state agencies it oversees have significant responsibilities in ensuring safe working conditions in millions of workplaces nationwide. However, these agencies face significant challenges due to limited resources, and inspect less than 1% of workplaces annually. In their article, “Making Workplaces Safer Through Machine […]

The Transformative Impact of Data, Analytics, and AI on Business: Insights from Industry Leaders

As artificial intelligence (AI), data, and analytics reshape industries worldwide, leaders in the Middle East are forming our understanding of these technologies and their impact, both in their own region and globally. On November 7, 2024, the Harvard Business School Digital Data Design Institute (D^3) hosted a panel featuring prominent voices from sectors such as […]

Navigating the Ripple Effects of Regulation: Lessons from China’s Tech Industry

With the rise of tech giants across the globe, there has been increasing concern about the consequences their dominance creates for market competition. Governments in various countries have responded by implementing antitrust regulations to curtail the power of these digital platforms. In China, the introduction of the Anti-Monopoly Guidelines for the Platform Economy in February […]

Revealing Value: The Economic Power of Open Source Software

Open source software (OSS) underpins much of today’s digital infrastructure, and is prevalent in everything from operating systems to cloud services. Thus, understanding the real economic impact of OSS is essential for fostering sustainable development and guiding strategic investments, especially for policymakers. To highlight the significant, yet often invisible, contributions of OSS on the global […]

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