Resistant Temporalities is a critical computation project
that rethinks how
we experience time and space.
it is a body of work - an atlas of research, writings, artwork, and digital tools.
Over centuries, standardized systems — clocks, calendars,
and satellite maps — have transformed time into a rigid construct, and space into
flat abstractions.
These tools claim to organize our lives but isolate us from the natural systems that
once guided human understanding.
What if we reclaimed time — not as dictated, linear units — but as something shaped through
our observation with the sun, moon, stars, and
clouds?
Historically, time was dynamic, open-source, and rooted in observation.
The stars moved 15 degrees an hour, the moon marked the month through its
phases, and the sun’s path defined location and seasons.
These systems have not changed, but our awareness of them has.
We’ve been coddled by tools that reduce diverse temporal and spatial experiences into a
single construct.
These constructs are not neutral—they are deeply political, deeply imperial, and erase
alternative ways of knowing while disempowering individuals from having temporal and spatial autonomy.
What if computation amplified rather than replaced knowledge?
What if technology extended human experience rather than muting it?
This project proposes alternatives through a resistant atlas of four maps
layering solar, meteorological, and celestial data within a computational framework.
At their core are imaginaries preserved through language—especially in the nomadic
life of Arab Bedouins and other civilizations in open landscapes like deserts or the Arctic, where they
could only look up.
By returning to environmental observation and culturally embedded knowledge systems, we can
begin to rehabilitate sovereignty over time and space.
This work critiques computation by using its own tools—parametric modeling,
mathematical graphing, machine learning, and image detection—to challenge its
limits while proposing new ways to record and interpret temporal and spatial data.
It’s an experiment in reclaiming agency and reframing technology as an appreciative
collaborator, not a dictator.
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