From time to process

This exploration looks at time not as a fundamental truth, but as a construct, a human-made tool used to organise experience. It questions whether reality is better understood not through time, but through processes, transformations, and the environments in which they unfold.

Credit: NASA

The challenge

We tend to describe change through time, but what if time is not the real driver? What if what we are observing is actually transformation driven by interaction, environment, and energy?

Our perception of time may simply be a reflection of how processes unfold under specific conditions, particularly here on Earth, where gravity, chemistry, and biology shape what we interpret as “aging” or “progression.”

My role

My role in this thinking is to challenge the assumption of time as the primary axis of understanding, and instead explore how design, data, and systems can be reframed around processes and state evolution.

I am particularly interested in how this shift can influence the way we visualise data, design systems, and interpret complex environments.

Process and approach

This perspective is rooted in process thinking, where reality is seen as continuous transformation rather than discrete moments.

• Data becomes a trace of change, not a fixed measurement.
• Systems are understood as evolving states, not static snapshots.
• Visualisation shifts from timelines to relational or environmental models.

Instead of showing “when something happens,” we explore how and why it changes.

This leads to a different type of representation:

• State trajectories instead of time series
• Environmental influence instead of linear progression
• Interdependence instead of isolated variables

My contribution

My contribution is to bridge philosophy, physics, and design into a unified way of thinking about systems. I see an opportunity to move from time-based thinking into process-based understanding, where everything is relational, contextual, and evolving.

As part of this exploration, I am actively experimenting with ways to visualise and interact with this concept through data.

You can explore this ongoing work here: Data experimentation: time, process, and transformation →

This is an evolving space where I’m learning, testing ideas, and building small experiments to better understand how data can reflect continuous transformation rather than static moments.