This begs the question: What might it mean to reimagine the form of these datasets in a world unconstrained by pressures like speed, scale, and universality? By looking to artists like Anna Ridler andothers for their rejection of “off-the-shelf” datasets, we can imagine what it would be like to curate datasets with much deeper intention and context... See more

As you explore this document, imagine a world where we expect every claim to be accompanied by an explorable analysis, and every statistic to be linked to a primary source. Imagine collecting data and designing analyses in a collaborative wiki-like manner.

We reject the shallow conformity of the engineering mindset, the stifling constraints of form following function, the illusion of minimalism, and the monotony of linearity.

In their place, we rediscover artistic principles rooted in tangibility, natural forms, the unicity of objects, and the texture and materiality of the physical world.

We impose ae... See more

This begs the question: What might it mean to reimagine the form of these datasets in a world unconstrained by pressures like speed, scale, and universality? By looking to artists like Anna Ridler and others for their rejection of “off-the-shelf” datasets, we can imagine what it would be like to curate datasets with much deeper intention and contex... See more