Guided by a new social contract, here’s how companies can develop working models that deliver for shareholders, employees, and global communities.

Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.

New ideas at TIAA are developed ‘outside in,’ ‘inside out,’ and with a purpose — financial well-being and retirement security for the organization’s clients.

Inspired by climate activists past and present, the student group uses collective action to advocate against MIT’s fossil fuel investments.

Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.

Ensuring Black lives matter in the workplace requires perspective taking, thoughtful leadership, and structural and symbolic changes within a company.

Even for the well-intentioned, gender and racial pay equity is elusive. A fair starting line, real transparency, and long-term commitment are a must.

To support data science teams, start by pointing them toward the right problem.

Supply chain guru Yossi Sheffi identifies post-COVID-19 trends, including blockchain, robotic process automation, IoT, dark stores, and “China plus one.”

How government R&D still matters, and what makes Rochester, New York special.