Transdisciplinary Models and Multi-Scale Simulation belongs to the new future fields, which have been elaborated within the Foresight-Process as focal issues in future research activities. Interviews with experts at home and abroad as well as an online survey and bibliometric investigations led to the following definition and delineation:
Virtual systems analyses are now indispensable in technical and social-science research. Systems analyses have so far been used to form hypotheses on complex data in physical, chemical and biological contexts, improving such data for use in projects in application-oriented research and development practice. Application-oriented projects deal with complex phenomena, despite limited knowledge on the details of functional contexts. Systems analyses must be carried out using experiments if these projects are to be pursued promptly and involve reasonable amounts of time and effort.
Wherever developments and their respective biotic, social, technological or other environments overlap in complex conditions, varying observations and abstract models must be consolidated accordingly. At the same time, the scope of models transferred from one area of application to another must be determined. Working out the generic aspects and similarities of very different models is a great challenge in achieving this.
The second future challenge consists in using suitable translation processes to exchange findings between contiguous or hitherto independent disciplines. Innovative simulation methods from the atomic level and algorithms for current and future problem areas can be developed out of a combination of new findings. Examples of research topics and areas for development include:
The complete chapter on this new future field from the Foresight report is available for download here.
We appreciate your thoughts and comments about the methodology and the results of the Foresight process. You are invited to leave your comments here.