News, insights and articles

Welcome to our blog. We love writing and sharing our knowledge about why human understanding grounded in social science helps organisations like yours make better decisions.

And as the Founders of the successful Anthropology + Technology Conference, we're understandably passionate about why anthropologists are needed in tech, artificial intelligence (AI), and responsible tech innovation.

If you’d like to republish any of this material, please get in touch first.

AI in Health and Care: How do we innovate responsibly?

How to innovate responsibly in health tech and why anthropologists are important members of your tech team

Why responsible tech is good for business

Business leaders should start proactively thinking about 'responsible tech' to retain their highly-skilled workforce, avoid reputational damage, and ensure readiness for tech regulation.

Are AI workplace systems that monitor employees reducing people to numbers?

Companies have long collected data about their employees in order to boost efficiency and increase productivity. Is workplace monitoring going to become the norm for white-collar workers too?

Why understanding people's behaviours is key to coffee cup reuse

Despite reusable cups being widely available in the UK, people are still buying their coffee in paper cups.

Why tech companies should embrace talent from all walks of life

Tech is notorious for the shockingly small number of women who work in it. We all know the stats. But what about social class?

Designing the Future

Designing the future is about exploring the power of design in shaping the world of tomorrow. Collaborating with anthropologists, particularly on emerging technology projects, is crucial.

Can we stop talking about 'users'

Can we start thinking, talking, and writing about people in relation to products and services not as 'users', but as people.

Creating inclusive technology products

We all imagine technology to be neutral so it’s a shock to discover that our technology products contain bias and prejudice.