Competition urges business to adopt the concept of digital twins. In some industry sectors, digital twins are already firmly in place: there are digital twins of plants and cities. However, in the industries where the core product is knowledge, digital twins are not yet in great demand. There is no doubt that research organizations have a backbone, corporate culture, values which help them carry out their unique work. By modeling these internal hidden features of an organization, we can get unique tools for forecasting and managing the technology strategy. A digital twin of a science and technology center may be viewed as a special system model type, which uncovers such hidden phenomena as creation of new branches and schools of thought and the extent of creative burnout and fatigue of the team.
Prototyping, as an engineering discipline, has been in existence for over 30 years and, at first glance, is doing the same thing. However, unlike the prototype, the digital twin does not aim to quickly implement basic functionality to analyze the operation of the system as a whole.
Therefore, in order to understand the advantages of digital twins, it is necessary to understand the new opportunities they offer. Going from general to specific, the authors chose a science and technology center as a focus for their analysis, considered the approaches to building a digital twin, and then summed up those approaches. As a result, they have current research hypotheses that have to be checked before creating the digital twin of an organization or its part aiming to produce new knowledge.
Finally, we provide the results of the simulation of the digital twin model.