/ art(istic) value /

Show don’t tell. Show don’t solve.
By making things visible they are given a stage. It is not about solving problems and creating solutions, but about showing things that are otherwise left unseen.






















/ ask /

Ask questions you do not know the answer to. Take these as a starting point for your project. Ask questions that you are intrinsically interested in.




















be attentive to
/ care
/ be concerned

To know what is desirable, one has to be attentive to what matters. To what matters for a learner, but also to what matters for the world we live in.






















/ collaboration /

Find (a) partner(s) in crime to work with. Together you dare more than alone. To collaborate also means to learn from the other. Together you know more, you question more, you discuss more. You learn to relate to the/an other.






















/ context /

Always think of the context of your project. Try to stay contextual. If you do an intervention the context is clear. But what if you document this intervention, where will you show it? Or if you have some conversations that you audio recorded, and that you want to write out and make a book of. For whom is this book? In what context does the book function?

There are as many contexts of as there are perspectives on a subject. Your research can take place in a certain context. Your starting point can come from a context. Your manifestations have a context. What is your own context. Etc.

Be aware of these contexts and think about where you show your project. And why.






















/ curious /

Be curious. When you are intrinsically curious for something, your search for the answer will go automatically. We are curious because we care.

Find a safe space to play, where learning goals are forgotten, where one tries to find its own learning goals.






















/ dialogue /

Connect your project to other fields than your own. Try to avoid ‘l’art pour l’art’. Don’t stay in your bubble.






















/ encounter with the real /

Step away from your desk and your computer. Investigate more in the real than on (the passive) internet.
























/ engagement /























/ fun /

Side projects are as important as main projects.






















/ integrity /

Be honest, don’t fake, don’t ly, don’t be superficial. Share your honest intentions/curiosity. Be humble. To relate openly to others is easier when you can be honoust and open yourself.






















/ interventions in public space /

Show, don’t tell.

Actions in public space are often twofold. The action in itself can be a work in itself (endgoal), but also the action can be a mean that leads to something new, like a shift in perspective, a dialogue, a new revelation that had not come to the horizon without the act.






















/ learn /

Try things out, try new things, try to stay for a while in the not-knowing.






















/ not know /

Not knowing might take time. Don’t rush things.






















/ others /

There is you(s) and there is the other(s), there is never you alone. How, when, where and why do you connect/interact/infiltrate or relate to the other(s)?






















/ perspectives /

Realise that there are always more perspectives on a subject then yours. Do find out your own perspective.






















/ relate /

Step away from the computer, step out of your head. Into the real world. Relate to this world. Relate in your way. There are so many ways. Don’t think and make everything yourself.
























/ research through making/doing /

Do active research. Not only sit behind your desk and think and google.






















/ soft data /

Soft data (such as personal stories, nuances, background information) are crucial data. To be able to find these one has to be attentive, make things personal and zoom-in (in stead of zoom out), look from real close.

Soft data contains qualitative data, whereas hard data contains quantitative data.

Soft data is information that is too spread out and too nuanced to be included in statistics. However, this says nothing about its significance. Without involving soft data in the spectrum, an incomplete picture is created.












/ the end /