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D^3 Faculty

Being Together in Place as a Catalyst for Scientific Advance

The COVID-19 pandemic forced widespread social distancing, affecting every aspect of society, including universities. Face-to-face interactions, crucial for sparking innovative ideas and collaborations, were replaced by video conferences, raising concerns about the impact on scientific knowledge and discovery. As organizations adopt hybrid or fully remote work models, questions arise about the “death of distance” in […]

Realizing Healthcare’s AI Potential

The following insights are derived from a recent session on GenAI in Healthcare. On November 15th, the D^3 Institute’s Generative AI Observatory hosted the first session in its GenAI in Healthcare series, produced in collaboration with the Responsible AI Institute. Speakers Satish Tadikonda (HBS), Nikhil Bhojwani (Recon Strategy), Var Shankar (Responsible AI Institute), and Alyssa […]

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Tech For All Lab Explores Innovation in Women’s Health

Historically, there has been limited attention and innovation in addressing issues like menopause, endometriosis, and menstrual health. This is partly due to the underrepresentation of women as inventors and entrepreneurs. However, some exceptional women like Geetha Manjunath and Linda Griffith have made significant contributions by leveraging their personal experiences and expertise. Geetha Manjunath, with a […]

HBR: Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side […]

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Navigating the Jagged Technological Frontier

In collaboration with Boston Consulting Group (BCG), new research from Digital Data Design Institute at Harvard chair and co-founder Karim Lakhani Karim R. Lakhani and others explores field experimental evidence of the effects of AI on knowledge worker productivity and quality. It involved evaluating the performance of 758 consultants, which make up 7% of the […]

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