The influence of austerity measures and neoliberal ideologies has sparked discussions about the relevance and value of academic institutions, particularly in the humanities and social sciences. Universities are redirecting academic focus towards greater societal engagement. This book argues that academia has much to gain by moving beyond its institutional walls, in our case, by doing data work with stakeholders and civil society. This collaborative work benefits citizens in our democratic,...

As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practice...

Taking up the challenges of the datafication of culture, as well as of the scholarship of cultural inquiry itself, this collection contributes to the critical debate about data and algorithms. How can we understand the quality and significance of current socio-technical transformations that result from datafication and algorithmization? How can we explore the changing conditions and contours for living within such new and changing frameworks? How can, or should we, think and act within, bu...

Digital technologies have rapidly become integral to communities and societies, bringing both significant benefits and serious concerns. Issues such as misinformation, disinformation, online polarization, discrimination, and widening inequalities have prompted a critical and urgent debate: Can digital societies still be effectively governed? This book brings together insights from various disciplines to address the pressing question: How can we develop and apply principles of (good) govern...