Storytelling in Appreciative Inquiry

This study is an examination of the role of story and storytelling within Appreciative Inquiry, a method of organizational change that orients around a consensus model building on individual and collective strengths instead of focusing on overcoming problems. Interviews with 12 Appreciative Inquiry practitioners were conducted, transcribed, and analyzed using a process of iterative coding consistent with a General Inductive method of qualitative research. Once consensus with a secondary coder was achieved, 6 themes emerged. The 6 emergent themes outlined general roles that story and storytelling plays in the Appreciative Inquiry process: relationship building, coauthoring a future, reframing narrative, narrative meaning, discovery, and engagement. No one of these categories seemed to guarantee success, and all success stories, shared during the interviews, incorporated something from all 6 of these categories. These categories also provide a possible framework for further study on how to optimize or incorporate more storytelling into Appreciative Inquiry practice

An Efficient Paradigm for Genetic Epidemiology Cohort Creation

Development of novel methodologies to efficiently create large genetic epidemiology cohorts is needed. Here we describe a rapid, precise and cost-efficient method for collection of DNA from cases previously experiencing an osteoporotic fracture by identifying cases using and administrative health-care databases. Over the course of 14 months we collected DNA from 1,130 women experiencing an osteoporotic fracture, at a cost of $54 per sample. This cohort is among the larger DNA osteoporotic fracture collections in the world. The novel method described addresses a major unmet health care research need and is widely applicable to any disease that can be identified accurately through administrative data

Periphyton responses to eutrophication in the Florida Everglades: Cross-system patterns of structural and compositional change

We examined periphyton along transects in five Everglades marshes and related compositional and functional aspects to phosphorus(P ) gradients caused by enriched inflows. Results were compared to those of a P-addition experiment in a pristine Everglades marsh. While the water total P (TP) concentration was not related to P load in the marshes or experiment the concentration of TP in periphyton was strongly correlated with the distance from the P source. Increased P concentration in periphyton was associated with a loss of biomass,p articularly of the calcifying mat-forming matrix, regardless of the growth form of the periphyton (epiphytic, floating,or epilithic). Diatom species composition was also strongly related to P availability, but the TP optima of many species varied among marshes. Enriched periphyton communities were found 14 km downstream of P inputs to one marsh that has been receiving enhanced P loads for decades, where other studies using different biotic indicators show negligible change in the same marsh. Although recovery trajectories are unknown, periphyton indicators should serve as excellent metrics for the progression or amelioration of P-related effects in the Everglades

Information Privacy Law Scholars\u27 Brief in Spokeo, Inc. v. Robins

This brief, submitted to the Supreme Court of the United States by 15 information privacy law scholars in the case of Spokeo, Inc. v. Robins (No 13-1339), argues that in enacting the Fair Credit Reporting Act (FCRA), Congress crafted a bargain between aggressive, secretive data-aggregating businesses and the public: if those businesses limited disclosures and made reasonable efforts to adhere to practices ensuring “maximum possible accuracy,” they would enjoy a safe harbor from litigation under many other state and federal theories. The FCRA’s consumer transparency requirements and remedial provisions were designed to encourage steady improvement in consumer reporting practices and to relieve pressure on public enforcement authorities. The Petitioner’s claim that Respondents cannot pursue it for its violations of the FCRA would unravel that bargain, preserving consumer reporting agencies’ broad immunity from suit while diminishing incentives to handle data fairly. In an era in which employers increasingly practice “hiring by algorithm,” inaccurate consumer reports — even those that contain putatively favorable inaccuracies — can cause real economic injury to consumers. Such inaccuracies can lead employers to screen out prospective employees as overqualified or too well-paid. Alternatively, employers may suspect resume inflation and dishonesty if background checks reveal inconsistencies or unearned honors. More generally, lawmakers historically have recognized and responded to non-economic and dignity-based injuries by creating rights of action to remedy such wrongs in court. The FCRA follows that pattern. In enacting the FCRA, Congress did not create injury but rather recognized the injury worked by improper disclosure and mishandling of information. Petitioner’s argument to the contrary threatens to upset numerous privacy, consumer protection, and other laws

Understanding Microplastic Marine Pollution with Citizen Science Partnerships

Plastic marine debris is found in coastal and marine waters worldwide. There has been an increase in the study of microplastics, synthetic polymers \u3c 5 mm, throughout the world. Researchers at the Center for Urban Waters, University of Washington Tacoma have collaborated with Service Education Adventure (SEA) and Sound Experience, local boat-based environmental education groups in Puget Sound, Washington, to collect environmental samples and educate participants on marine debris environmental issues, specifically microplastics. Both groups were trained on how to collect microplastics in the field using a modified manta net, sending the samples to the Center for Urban Waters for analysis. Undergraduate student researchers participated in the program through assisting in training, demonstrating collection on vessels, and processing samples in the laboratory. This presentation will review the progress of development of these relationships, benefits of each group’s contributions, and challenges met during the partnerships

Computational Knowledge Integration in Biopharmaceutical Research

An initiative to increase biopharmaceutical research productivity by capturing, sharing and computationally integrating proprietary scientific discoveries with public knowledge is described. This initiative involves both organisational process change and multiple interoperating software systems. The software components rely on mutually supporting integration techniques. These include a richly structured ontology, statistical analysis of experimental data against stored conclusions, natural language processing of public literature, secure document repositories with lightweight metadata, web services integration, enterprise web portals and relational databases. This approach has already begun to increase scientific productivity in our enterprise by creating an organisational memory (OM) of internal research findings, accessible on the web. Through bringing together these components it has also been possible to construct a very large and expanding repository of biological pathway information linked to this repository of findings which is extremely useful in analysis of DNA microarray data. This repository, in turn, enables our research paradigm to be shifted towards more comprehensive systems-based understandings of drug action

GeV Gamma-Ray Attenuation and the High-Redshift UV Background

We present new calculations of the evolving UV background out to the epoch of cosmological reionization and make predictions for the amount of GeV gamma-ray attenuation by electron-positron pair production. Our results are based on recent semi-analytic models of galaxy formation, which provide predictions of the dust-extinguished UV radiation field due to starlight, and empirical estimates of the contribution due to quasars. We account for the reprocessing of ionizing photons by the intergalactic medium. We test whether our models can reproduce estimates of the ionizing background at high redshift from flux decrement analysis and proximity effect measurements from quasar spectra, and identify a range of models that can satisfy these constraints. Pair-production against soft diffuse photons leads to a spectral cutoff feature for gamma rays observed between 10 and 100 GeV. This cutoff varies with redshift and the assumed star formation and quasar evolution models. We find only negligible amounts of absorption for gamma rays observed below 10 GeV for any emission redshift. With observations of high-redshift sources in sufficient numbers by the Fermi Gamma-ray Space Telescope and new ground-based instruments it should be possible to constrain the extragalactic background light in the UV and optical portion of the spectrum.Comment: 19 pages, 12 figures, Accepted for publication in MNRAS, this version includes minor correction