|
Showing 1 - 3 of
3 matches in All Departments
At first glance, contemporary popular culture, filled with bleak
images of the future, seems to have given up on the possibility of
positive collective change. Below the surface, however, alternative
culture is rife with artist-led projects, activist movements, and
subcultural communities of interest that seek to spark the
collective imagination and to encourage hunger for alternatives.
More playfully self-conscious than past utopian movements, today's
are often whimsical or ironic, but are still entirely earnest.
Artists invite us to re-author city maps, or archive individual
ideas for the future, while maker collectives urge us to rethink
our relationship to consumer goods. All seem to have grown out of a
similar do-it-yourself ethos and alternative culture. One of the
central conflicts informing these case studies is that while it
remains immensely difficult to envision anything outside of the
current system of consumer capitalism, there is nevertheless a
powerful desire to take it apart in piecemeal ways. We see the
longing for new social and political narratives, new forms of
communion and sociability, and new imaginings of the possible,
longings that are currently unmet by mainstream culture, but that
are taking expression in myriad ways at the local level. Taken as a
whole, this collection examines what our grand ideals and playful
daydreams tell us about ourselves.
|
Data Feminism (Paperback)
Catherine D'Ignazio, Lauren F Klein
|
R684
R523
Discovery Miles 5 230
Save R161 (24%)
|
Ships in 10 - 15 working days
|
A new way of thinking about data science and data ethics that is
informed by the ideas of intersectional feminism. Today, data
science is a form of power. It has been used to expose injustice,
improve health outcomes, and topple governments. But it has also
been used to discriminate, police, and surveil. This potential for
good, on the one hand, and harm, on the other, makes it essential
to ask: Data science by whom? Data science for whom? Data science
with whose interests in mind? The narratives around big data and
data science are overwhelmingly white, male, and techno-heroic. In
Data Feminism, Catherine D'Ignazio and Lauren Klein present a new
way of thinking about data science and data ethics-one that is
informed by intersectional feminist thought. Illustrating data
feminism in action, D'Ignazio and Klein show how challenges to the
male/female binary can help challenge other hierarchical (and
empirically wrong) classification systems. They explain how, for
example, an understanding of emotion can expand our ideas about
effective data visualization, and how the concept of invisible
labor can expose the significant human efforts required by our
automated systems. And they show why the data never, ever "speak
for themselves." Data Feminism offers strategies for data
scientists seeking to learn how feminism can help them work toward
justice, and for feminists who want to focus their efforts on the
growing field of data science. But Data Feminism is about much more
than gender. It is about power, about who has it and who doesn't,
and about how those differentials of power can be challenged and
changed.
|
|