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Scientometric data is used to investigate empirically the emergence of searchregimes in Biotechnology, Genomics, and Nanotechnology. Complex regimes canemerge when three independent sources of variance interact. In our model,researchers can be considered as the nodes that carry the science system.Research is geographically situated with site-specific skills, tacit knowledgeand infrastructures. Second, the emergent science level refers to the formalcommunication of codified knowledge published in journals. Third, thesocio-economic dynamics indicate the ways in which knowledge production relatesto society. Although Biotechnology, Genomics, and Nanotechnology can all becharacterised by rapid growth and divergent dynamics, the regimes differ interms of self-organization among these three sources of variance. The scope ofopportunities for researchers to contribute within the constraints of theexisting body of knowledge are different in each field. Furthermore, therelevance of the context of application contributes to the knowledge dynamicsto various degrees.

Emerging Search Regimes: Measuring Co-evolutions among Research, Science, and Society