Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two
hitherto distinct approaches.” Neuro” refers to the artificial neural networks prominent in …

'I have no data yet. It is a capital mistake to theorise before one has data. Insensibly one
begins to twist facts to suit theories, instead of theories to suit facts.'(Dr Watson describes a …

When conducting qualitative research, scholars should consider the relation between data
collection and analysis as well as between theory and data. There are at least two ways to …

There is a widespread idea that in grounded theory (GT) research, the researcher has to
delay the literature review until the end of the analysis to avoid contamination–a dictum that …

A broad theory of research methodology for psychology and the behavioral sciences that
offers a coherent treatment of a range of behavioral research methods. This book considers …

Humans have remarkable capacity to reason abductively and hypothesize about what lies
beyond the literal content of an image. By identifying concrete visual clues scattered …

Biased decision-making in criminal investigations can impede or arrest the progress of
justice. Previous research has not systematically addressed the effects of professional …

Visual explanations are logical arguments based on visual features that justify the
predictions made by neural networks. Current modes of visual explanations answer …

This essay draws on qualitative social science to propose a critical intellectual infrastructure
for data science of social phenomena. Qualitative sensibilities—interpretivism, abductive …

Forensic science has been evolving towards a separation of more and more specialised
tasks, with forensic practitioners increasingly identifying themselves with only one sub …