数智驱动下科研范式与决策范式协同变革OA

[Research purpose]The research aims to explore the collaborative transformation of scientific research paradigms and decision-making paradigms in the digital-intelligence era,reveal the internal mechanism underlying their deep integration,and systematically analyze the key constraints currently hindering the formation of the new ecosystem of"research-decision integration".[Research method]The research integrates the theory of social technological systems and coevolution theory,constructs an"driver—transformation—collaboration—governance"analytical framework,and explains how digital-intelligence technologies,as the underlying driving force,trigger deep changes in the cognitive logic,core processes,and organizational forms of scientific research paradigms and decision-making paradigms.On this basis,it analyzes the process by which they achieve dynamic coupling and collaborative evolution through mechanisms of"joint problem formulation—mutual promotion of methods—knowledge co-creation",and identifies the core governance challenges.[Research conclusion]The research finds that digital-intelligence technologies have given rise to a new cognitive logic of"data-intensity,intelligence emergence,and human-machine collaboration",promoting the systematic reconfiguration of the scientific research paradigms in research methods,organizational models,evaluation systems and knowledge dissemination,as well as the fundamental reshaping of the decision-making paradigms in their rational basis,process structure,and responsibility mechanisms.In response to the"institutional adaptation gap"caused by the institutional reform lagging behind technological iteration,based on China's national conditions,it proposes a transformation path to bridge the institutional gap and promote research-decision collaboration.