Today, questions are most often discussed in narrow, instrumental terms: as prompts to feed an AI system or as items on a survey. Beyond these framings, we tend to assume that we are all naturally competent questioners, drawing on the innate urge to ask that emerges in early childhood and drives how we learn. Yet the capacity to ask does not guarantee the capacity to ask well.
At present, we lack a science of questions: a field dedicated to understanding what we know about questions.
This gap has grown more consequential. As data science and artificial intelligence accelerate the production of answers at unprecedented scale, the capacity to formulate meaningful questions becomes increasingly central to inquiry. When answers grow abundant and are increasingly generated through automated processes, the framing of good questions emerges as a distinct frontier of human discovery.
The stakes extend beyond research: in an era of disinformation and eroding trust, questions are also a vehicle for better-informed public debate and a healthier democracy, helping citizens interrogate claims, weigh evidence, and deliberate more thoughtfully.
Q-Lab has been launched to address this gap, treating questions as core infrastructure for how institutions and societies learn, decide, and govern, and to help societies ask better questions.