This community of practice delves into the contemplation of the future of work in the age of AI-augmentation and rapid digital advancement. As the modern workplace undergoes profound transformation, scholars and practitioners convene to address the myriad challenges and opportunities that lie on the horizon. This intellectual forum explores subjects such as remote work, workforce diversity, talent management, digital reskilling, and the impact of automation on tomorrow’s workplaces. Participants explore the strategies for organizational leaders and individuals to navigate the evolving realm of work with dexterity and foresight.
D^3’s blackbox Lab, led by James Riley, Principal Investigator of the lab and Assistant Professor at Harvard Business School, recently featured a blog post highlighting key points from a discussion with Lewis Long, Founder and President of Long Gallery Harlem and Harvard Business School graduate (‘91). The blog post, “A Vision for Cultural Innovation and […]
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, […]
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 […]
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 […]
