aron
@aronshelton
@aronshelton
“We only count what we know to count, and that's strongly determined by where we stand and who we are.
I often hear people say that qualitative research isn't generalizable, by which they mean that they use "sample" that do not have the features necessary to make valid inferences about a known population.
Forget for a minute that most survey samples aren't truly random, that confidence intervals are often not included, and so on.
We're all operating with the kind of bias that makes it hard to find hay in the haystack. We're biased towards things that are already legible to us. Statistical methods make a virtue of that.
Qualitative research helps us to de-center our concepts, to expand our understanding of the frameworks and schema that operate in lesser examined corners of life.
Even numbers aren't simply a sequence of digits, but a continuum of rationality and irrationality, with the latter making up the grand majority.
Going Further is about changing your stance in ways that challenge our sense of what counts.”
Adam Talkington
Head of Ethnography at Further&Further
provocations and Wordplay
The document argues that literacy is a deviation from our natural cognitive abilities, and as technology progresses, the need for traditional literacy skills diminishes.
provocations and Animating Questions
How are we to prepare the young, whom we already scarcely know, for a future we cannot imagine, from a past that has been swept away?
The limitations and possibilities of using computational models, specifically AI, in environmental inquiry and the implications of a systems view of the environment.
by Tega Brain
close attention inevitably facilitates transformation. Tsing calls this “the arts of noticing”, tactics for thinking without either the abstraction produced by quantification or deeply held assumptions of progress. If we are “agnostic about where we are going, we might look for what has been ignored”
PDF | This paper considers some of the limitations and possibilities of computational models in the context of environmental inquiry, specifically... | Find, read and cite all the research you need on ResearchGate
provocations and
Data-driven research methods necessitate the collection of huge quantities of data and in doing so, they dismantle opportunities for paying close specific attention to the world. These methods also tend to obscure the many other ways of building understanding. Also, perhaps intentionally, data collection increasingly acts to maintain the status quo. We use data to study problems that would be more effectively addressed through simple political action. The impetus to “study the problem” ad nauseam gives the appearance of addressing an issue while perfectly maintaining the present state of affairs.