Simulation as a sustainable trading zone: Aiming at intergenerational justice

TL;DR

This paper explores the ethical and knowledge preservation issues related to the lifecycle of simulation codes in scientific research, emphasizing the importance of sustainable trading zones for intergenerational justice.

Contribution

It introduces a framework analyzing the evolution of simulation codes through trading zones and actor network models, highlighting the need for sustainable practices to preserve knowledge across generations.

Findings

Closed simulation codes tend to become local standards and eventually disappear.

Open simulation codes evolve into universal languages influencing entire communities.

Maintaining sustainable trading zones is crucial for intergenerational knowledge transfer.

Abstract

The paper, drawing on the example of simulation codes used in nuclear physics and high-energy physics, seeks to highlight the ethical implications of discontinuing support for simulation codes and the loss of knowledge embodied in them. Predicated on the concept of trading zones and actor network models, the paper addresses the problem of extinction of simulation codes and attempts to understand their evolution and development within those frameworks. We show that simulation codes of closed type develop to the level of creoles, becoming local languages and standards of scientific centers and disappearing as their few main developers leave, whereas codes of open types become universal languages, imposing problem-solving patterns on the entire community and crowding out other codes. The paper suggests that because of simulations' reliance on tacit knowledge, practices entrenched in codes cannot be exhaustively explicated or transmitted through writing alone; on the contrary, the life cycle of a simulation code is determined by the life cycle of its trading zone. We examine the extent to which both of these phenomena pose a risk to the preservation of knowledge. Bearing upon intergenerational ethics, we draw analogies between the pure intergenerational problem (PIP) and the problem of preserving the knowledge implemented in simulation codes and transmitting it to future generations. We argue that for the complete transfer of knowledge, it is necessary to develop and maintain inhabitability and sustainability of simulation trading zones in a controllable way, at least until the demand for these codes is warranted to cease in the future.