Because AI
is only half the answer
Because AI
is a superpower
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 & Future of Business Technology
- Data, Privacy, Security, and Regulation
- New Operating Models and Business Models
- Performance and Metrics
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 […]
- AI & Future of Business Technology
- Future of Work
- New Operating Models and Business Models
- Performance and Metrics
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, […]
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 […]
Digital Data Design Institute at Harvard to Unveil AI Upskilling Beta Learning Program for Emerging Leaders
Future Proof will help working professionals transform their workday with AI BOSTON, December 12, 2024 – Tomorrow, the Digital Data Design Institute at Harvard (D^3) will announce “Future Proof with AI,” a new platform to transform your workday with Generative AI, during its AI Elevate Conference at the Museum of the Future in Dubai, United Arab Emirates […]
Because AI
transforms productivity
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) […]
Because AI
changes everything
Harvard University Generative AI Symposium
Digital Data Design Institute at Harvard (D^3) is partnering with the Office of the Vice Provost for Research, the Office of the Vice Provost for Advances in Learning, the Faculty of Arts and Sciences, the Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University Information Technology and the Harvard Library to offer […] Continue reading Harvard University Generative AI Symposium
Our digital future is being invented today
Our work at the Digital Data Design Institute at Harvard focuses our 14 labs around six communities of practice to produce and share research-rooted knowledge on how society and business are interacting with artificial intelligence (AI) and digital technologies.