STIRring the grid: engaging energy systems design and planning in the context of urban sociotechnical imaginaries

Since the first electrification systems were established in the United States between 1910 and 1930, energy systems governance at the municipal level has included competing visions for how engineering design and energy policy-making should foster particular social outcomes. Using Phoenix as a representative metropolitan area, and the cases of distributed generation and in-home power management devices as examples, this paper explores how the norms and values embedded in energy systems design and planning shape how residents experience change in the energy grid. Through these case studies, the authors argue that such “sociotechnical imaginaries” – collectively formed visions of social life related to science and technology development – are a crucial, yet overlooked, pathway for social science to engage in fostering socially reflexive mechanisms in energy development. To conclude, the authors outline a research program for applying the established methodology of socio-technical integration research (STIR) in order to develop socially reflexive capacities in municipal energy producing, regulating, and planning institutions. Such a program has the ability to produce a deeper intellectual understanding of how energy development occurs, and in doing so generate new pathways for fostering cultural and material changes in the structure of contemporary energy systems.     

Intervention Research as Management Research in Practice: Learning from a Case in the Fashion Design Industry

Research in the field of management and organizational sciences has yielded a deeper understanding of many emerging business issues. However, the relevance of the contributions has been increasingly criticized, in both the academic and public spheres. We propose the intervention research approach – originally developed by the research group at Ecole des Mines de Paris – as a design science approach able to address both the relevance gap issue and the growing complexity of management practice. It is argued that increasing our understanding of management requires research that is more insightful, influential and immediately applicable. This in turn requires closer collaboration between management and researchers during the inquiry process, which is not always easy to achieve. An illustrative case study of an intervention research project focusing on creativity, conducted in Italy in collaboration with a fashion company, demonstrates how intervention research can be rigorous and relevant to practitioners, and how it can advance theoretical knowledge in management science.     

Barriers to the implementation of medication-assisted treatment for substance use disorders: the importance of funding policies and medical infrastructure

Despite growing interest in the use of evidence-based treatment practices, adoption of pharmacotherapies for treating substance use disorders (SUDs) remains modest. Using data from telephone interviews with 250 administrators of publicly funded SUD treatment programs, this study estimated a model of adoption of medication assisted treatment (MAT) for SUDs and examined the relative importance of regulatory, cultural, medical resource, patient-level, and funding barriers to MAT implementation. MAT-adopting programs had significantly greater medical resources, as measured by the employment of physicians and nurses, than non-adopting programs. Administrators of non-adopting programs were asked to rate the importance of 18 barriers to MAT implementation. The most strongly endorsed barriers were regulatory prohibitions due to the program's lack of medical staff, funding barriers to implementing MAT, and lack of access to medical personnel with expertise in delivering MAT. Barriers related to insufficient information about MAT and unsupportive staff attitudes were not widely endorsed. These findings suggest that efforts to promote the implementation of MAT that are inattentive to funding barriers and weaknesses in medical infrastructure may achieve sub-optimal results.     

The role of the father in the family: Toward a gender-neutral family policy

A review of the literature suggests that: (a) Women are not the exclusive potential contributors to quality child care; (b) men can provide care equally well; (c) a growing number of men want to increase their involvement in child care. A number of obstacles impede, however, increased paternal involvement in child care; these include the existing societal value system, the present structure of the labor market, and the nature of many existing social services. Therefore, various aspects of social and family policy are examined and a variety of options are proposed.     

Variables Associated with Resilience in Divorced Families

The present study focuses on the salutogenicproperties of post-divorce families andattempts to identify factors that promoteresilience and family well-being. Within thesalutogenic paradigm the focus is on positivecharacteristics and strengths that contributetowards the growth and development of a system.Family coherence is used as an indication ofthe level of recovery after the crisis, and isused as the dependent measure with regard tothe present well-being of the family. Across-sectional survey research design wasused. The 98 participating families wereidentified on the grounds of the nature of thecrisis (divorce) and the developmental phase ofthe family. An open-ended question and thefollowing self-report questionnaires werecompleted by the parent and a child: abiographical questionnaire, the Relative andFriend Support Index, the Social Support Index,Family Crises Oriented Personal EvaluationScales, Family Sense of Coherence Scale, andthe Family Hardiness Index. Results show thatintra-family support, support of the extendedfamily, support of friends, religion, opencommunication amongst family members, and workand financial security were factors promotingresilience in these families.     

Estimation of General Stationary Processes by Variable Length Markov Chains

We develop new results about a sieve methodology for the estimation of minimal state spaces and probability laws in the class of stationary processes defined on finite categorical spaces. Using a sieve approximation with variable length Markov chains of increasing order, we show that an adapted version of the Context algorithm yields asymptotically correct estimates for the minimal state space and for the underlying probability distribution. As a side product, the method of sieves yields a nice graphical tree representation for the potentially infinite dimensional minimal state space of the data generating process, which is very useful for exploration of the memory.