Sentence examples for informatics paradigms from inspiring English sources

The papers are grouped thematically on cognitive and computational foundations of brain science, human information processing systems, brain big data analysis, curation and management, informatics paradigms for brain and mental health research, brain-machine intelligence and brain-inspired computing.

The dissemination of this informatic paradigm continues today with the integration of molecular genetics and cell biology with fields such as mathematics, statistics and informatics (Doyle 1997; Kay 2000 Fox Keller 2002; O'Malley and Dupré 2007).

Participatory design – the direct involvement of end-users and other stakeholders in design – has become a standard design paradigm in informatics, that is, in developing information systems, applications, infrastructures, and associated work practices.

In an analysis departing from the global health situation, the foundation for a change of paradigm in health informatics based on socially embedded information infrastructures and technologies is identified and discussed.

Much as is the case with the prevailing understanding of the clinical and translational research paradigm, such an informatics translational cycle, by necessity, involves the collaboration of a multi-disciplinary team with key leaders, whom possess expertise and competencies in all contributing domains [ 3, 7, 21, 29].

The currently prevailing paradigms of evaluation in medical/health informatics are reviewed.

Agrawal, A. & Choudhary, A. Perspective: Materials informatics and big data: Realization of the "fourth paradigm" of science in materials science.

While there are well-established frameworks that serve to inform the pursuit of basic science, clinical, and translational research in support of the operationalization of the personalized healthcare paradigm, equivalent constructs that may enable biomedical informatics innovation and practice aligned with such objectives are noticeably sparse.

Hence, there is an urgent need for a paradigm shift in creating a "provenance-aware" informatics platform to address this challenge.

The presentation focuses on manufacturing network paradigms, strategic and global influences, cyber-supported analytics and informatics, and collaborative control for automation, robotics, and decision support.

In this sense, activity theory is complementary with another paradigm that may be useful to proponents of biologically-informed informatics: namely, participatory modeling.