An idea of cooperation is tested through work
A prototype can start up, accept users, and record every operation without errors. That is concrete progress for the people who built it. To know what changes among the people who use it, we still need to follow the work that happens around the screen.
We set out to explore new forms of social and economic interaction through shared resources and distributed technologies. We propose developing a prototype and setting up laboratories in spaces yet to be defined. Here we speak of the design we propose, without treating the current state of any prototype as established. The question remains open: how would we know whether a new way of cooperating actually works.
In our research proposal, we bring together two tasks that are worth looking at side by side: building a tool and studying its possible uses. The first makes it possible to verify operations; the second requires observing people, their agreements, and what they can do with that infrastructure.
Let us imagine a future test, without suggesting that it has already taken place in a laboratory. A group organizes workshops and agrees to use a registry to coordinate contributions and share income. The system receives the data and performs the expected calculation. Up to that point, we know something about how the program runs.
During the test, a contribution might appear that the form does not account for. One person spent several hours explaining the project to newcomers, and that work was left out of the distribution. The program accurately calculated what its rules allowed it to recognize.
Investigating that situation would mean observing how the disagreement is handled. It would matter whether the person can raise a claim, whether someone listens to their explanation, and whether the group has an agreed way to revise the rule. The response could also show that the proposal needs changes before moving forward.
We draw on Matilde Luna and José Luis Velasco to think about how to coordinate diverse participants without losing their autonomy, as presented in the institutional overview of Complex Associative Systems. In our imaginary group, that question arises when someone needs to discuss the distribution with others who already consider it settled.
That perspective makes room for the participant who disagrees. Their objection may reveal a cost others did not see or a rule that is difficult to follow. Evaluating a proposal for cooperation requires recognizing those differences without assuming that majority satisfaction tells the whole story.
Let us return to the person who welcomed the newcomers. They might ask the group to recall how income was shared before and what changed when the registry was introduced. Perhaps their contribution was not recognized then either; perhaps the tool made it harder to explain an exception. These are questions for a future test, not results we have observed or an already agreed protocol.
The next session would make it possible to follow the same problem. Was the distribution revised? Did someone have to spend the afternoon redoing the accounts? Could that person help again without their work being left out a second time? Looking at those actions would make it possible to discuss what improved and who bore the effort of changing.
The person who taught others how to use the registry might also be absent. The group would have to carry out the task without them. What seemed simple while one person explained each step could prove difficult for everyone else; learning the system would be part of the work we seek to observe.
In our proposal, we explore blockchain as a possible infrastructure for recording and coordinating interactions. Recording an operation makes it possible to examine one part of the process; its effects on cooperation require evidence of their own.
The laboratory we propose would be valuable if it also allows us to learn from what fails, even if the group decides to abandon the prototype. The proposal begins to be tested when real work has room to contradict it.
References and reading scope
Francisco Toro Fierro, research proposal, read in full, especially the section on laboratories and objectives. Matilde Luna and José Luis Velasco, Complex Associative Systems: Cooperation amid Diversity (2017): UNAM institutional overview and bibliographic record, not the full book. The group and test described are hypothetical; the suggested observations do not constitute an approved protocol.
