This paper focuses on the global literature on Futures Studies and foresight over the last
thirty years by using a bibliographic dataset from the Scopus and using an integrated …

There is a widespread stated desire amongst both public and private organizations
worldwide to engage in more significant “evidence-based reasoning” and to be more “data …

This “reflections from practice” piece explores some of the implications of emerging,
artificially intelligent tools for the futures and foresight prac‐ademic community. The authors …

Providing a panoramic overview of the evolving world of scenario planning, this Advanced
Introduction uses topical case studies to analyze the develo** methodologies of scenario …

Causal structure discovery methods are commonly applied to structured data where the
causal variables are known and where statistical testing can be used to assess the causal …

Foresight started with the notion of (Science and) Technology Foresight as a part of
Technology Assessment (TA) but is now an independent scientific area. For a long time …

Artificial intelligence (AI) has become one of the most controversial tools of recent times.
Offering an extremely simple operating system, users can generate texts, images, videos …

Backcasting has become a widely applied approach to address sustainability challenges
when transformative changes are required. However, dispersed and contextualized …

Artificial intelligence, due to being heavily researched and funded, reaches new peaks of
performance by the hour. In his new book, Gigerenzer (2022) addresses the predominantly …

Weak signals are rarely identified in the initial stage of growth and appear significant over
time, unlike strong signals clearly observed in past trends. Weak signals are important cues …