What’s the matter? Keeping track of the latest articles published in the leading journals in one’s field of expertise can be challenging. But even if it is impossible to know literally every newly published paper in a field, having an overview of its recent, most prominent research agendas might be both inspiring and helpful to contribute to discussions with fellow scholars or students.

On Friday, March 17, The German Federal Ministry of Education and Research (BMBF) published a reform proposal that promises to improve working conditions in research. This was followed by a massive wave of criticism and protest from scientists across status groups and disciplines.

To what extent are research findings and theories transferable and generalizable beyond the contexts they were designed from and for? This is a main question that we, researchers, constantly think about and find it hard to answer.

Several universities in the country have been either completely destroyed or damaged. Most recently, the central building of the Taras Shevchenko National University standing in the center of the Ukrainian capital Kyiv suffered from an explosion nearby. At the same time, the interview itself illustrated the dramatic circumstances of this process: the online-talk was disrupted by air raid siren alerts.

Abstract Artificial intelligence (AI) is increasingly contributing to scientific breakthroughs in many fields. It is also clear that openness and cross-disciplinary collaboration are becoming key features of the process of modern science. Yet, we know little about the intersection of these two developments – whether and how AI may shape openness and collaboration in research.

In 2019 researchers at Simon Fraser University set out to catalogue the world’s scholarly publishing platforms. They restricted themselves to open source projects, and yet still identified over 50 projects to produce and host scholarly journals and books. The platforms range from established (like Open Journal Systems) to fledgling (like Rebus Ink), and everything in between.

For most liberal democracies, scientific expertise is an important ingredient of political decision-making. Scientific forecasts and assessments of, for example, poverty or social mobility, the impact of exhaust fumes on public health or the risks of viral outbreaks, help governments to weigh arguments and decide on policy measures. But how exactly does scientific knowledge make its way into politics?

Introduction The outbreak of the COVID-19 pandemic led to a global and accelerated digitalisation of all education systems. This quickly revealed many inequalities in access to digital resources and lack of digital skills. What concrete impact has this had on learners and teachers worldwide? How can we address these inequalities in education?

Human history is ridden with dreams of utopias. Ideas and visions outlining societies or communities that are free from faults and flaws, running perfectly according to plan. There is no shortage of examples. Many are political, some religious and others stacked somewhere in between.

Evidence-based policy advice and evidence-based policy-making constitute two related concepts that are widely Evidence-based policy advice and evidence-based policy-making constitute two related concepts that are widely supported. Both political and scientific actors argue that political decisions should be based on scientific evidence in order to manage societal problems;