What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood. Hence, deep learning techniques may be particularly well suited to solve problems of these fields. We examine applications of deep learning to a variety of biomedical problems-patient classification, fundamental biological processes and treatment of patients-and discuss whether deep learning will be able to transform these tasks or if the biomedical sphere poses unique challenges. Following from an extensive literature review, we find that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art. Even though improvements over previous baselines have been modest in general, the recent progress indicates that deep learning methods will provide valuable means for speeding up or aiding human investigation. Though progress has been made linking a specific neural network's prediction to input features, understanding how users should interpret these models to make testable hypotheses about the system under study remains an open challenge. Furthermore, the limited amount of labelled data for training presents problems in some domains, as do legal and privacy constraints on work with sensitive health records. Nonetheless, we foresee deep learning enabling changes at both bench and bedside with the potential to transform several areas of biology and medicine.

https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2017.0387

Opportunities and obstacles for deep learning in biology and medicine.

Creativity: Flow and the Psychology of Discovery and Invention

The construct of creativity has a great deal to offer educational psychology. Creativity appears to be an important component of problem-solving and other cognitive abilities, healthy social and emotional well-being, and scholastic and adult success. Yet the study of creativity is not nearly as robust as one would expect, due in part to the preponderance of myths and stereotypes about creativity that collectively strangle most research efforts in this area. The root cause of these stereotypes is the lack of adequate precision in the definition of creativity. The body of the article is devoted to specific suggestions for conceptualizing and defining creativity to maximize its potential contributions to educational psychology.

Why isn't creativity more important to educational psychologists? Potentials, pitfalls, and future directions in creativity research.

(1) Whereas the objectives of the Community, as laid down in the Treaty, as amended by the Treaty on European Union, include creating an ever closer union among the peoples of Europe, fostering closer relations between the States belonging to the Community, ensuring economic and social progress by common action to eliminate the barriers which divide Europe, encouraging the constant improvement of the living conditions of its peoples, preserving and strengthening peace and liberty and promoting democracy on the basis of the fundamental rights recognized in the constitution and laws of the Member States and in the European Convention for the Protection of Human Rights and Fundamental Freedoms;

Some Preliminary Comments on the DIRECTIVE 95/46/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data.

Clinical research is on the threshold of a new era in which electronic health records (EHRs) are gaining an important novel supporting role. Whilst EHRs used for routine clinical care have some limitations at present, as discussed in this review, new improved systems and emerging research infrastructures are being developed to ensure that EHRs can be used for secondary purposes such as clinical research, including the design and execution of clinical trials for new medicines. EHR systems should be able to exchange information through the use of recently published international standards for their interoperability and clinically validated information structures (such as archetypes and international health terminologies), to ensure consistent and more complete recording and sharing of data for various patient groups. Such systems will counteract the obstacles of differing clinical languages and styles of documentation as well as the recognized incompleteness of routine records. Here, we discuss some of the legal and ethical concerns of clinical research data reuse and technical security measures that can enable such research while protecting privacy. In the emerging research landscape, cooperation infrastructures are being built where research projects can utilize the availability of patient data from federated EHR systems from many different sites, as well as in international multilingual settings. Amongst several initiatives described, the EHR4CR project offers a promising method for clinical research. One of the first achievements of this project was the development of a protocol feasibility prototype which is used for finding patients eligible for clinical trials from multiple sources.

/pdf/electronic-health-records-new-opportunities-for-clinical-50hxqq6o0g.pdf

Electronic health records: new opportunities for clinical research

https://hal-univ-rennes1.archives-ouvertes.fr/hal-01147042/document

Using electronic health records for clinical research

Managing Creativity in Organizations: Critique and Practices

This chapter will consider the literature on organizational creativity. This corpus of literature is rather heterogeneous, comprising contributions from such diverse disciplines as psychology, management studies, sociology, and even the humanities (literature theory and history). The scope of the literature is therefore rather broad, ranging from, on the one hand, laboratory research on decision making under controlled conditions and, on the other, biographically oriented essays on the work of individual artists. The literature on creativity is then not unified and integrated, but may instead be regarded as a loosely grouped series of statements and propositions on what creativity is, what its consequences are, and how it can be employed purposefully. In addition, the idea of creativity is very much playing a role in the public imaginary as some superhuman capacity to conceive of extraordinary things which certain individuals are endowed with. As a consequence, the theoretical analysis of creativity qua theoretical concept needs to address this everyday view of creativity as something that occurs disruptively in unpredictable occasions among extraordinarily talented individuals. In fact, this mythological image of creativity is counterproductive to the endeavour of managing creativity as an organization resource similar to knowledge or technology because it postulates that creativity is highly unpredictable.

Mats Sundgren

Papers

Electronic health records: new opportunities for clinical research

Using electronic health records for clinical research

Managing Creativity in Organizations: Critique and Practices

What is Organizational Creativity

Managing Creativity in Organizations