Int J Qual Methods

Focus groups are often used for qualitative investigations. We adapted a published focus group method for evaluating impact of an organizational intervention for virtual delivery using video conferencing. The method entailed convening small groups of three to five participants for a 2-hour facilitated workshop. We delivered the virtual workshops, adding qualitative evaluation with researchers and participants, to assess the effectiveness of the protocol. We address the questions of how to structure the data collection procedures; whether virtual delivery permits cross participant interactions about a studied intervention; and how easy and comfortable the experience was for participants. Participants were university faculty members who were the focus of an institutional diversity program. The results indicated that the virtually delivered focus group workshop could be successfully implemented with strong fidelity to the original protocol to achieve the workshop goals. The workshops generated rich data about the impacts of the institutional program as well as other events and conditions in the working environment that were relevant to consider along with the observed program outcomes. A well-planned virtual focus group protocol is a valuable tool to engage intervention stakeholders for research and evaluation from a distance. Video conferencing is especially useful during the current COVID-19 pandemic, but also whenever geography separates researchers and evaluators from program stakeholders. Careful planning of privacy measures for a secure online environment and procedures for structured facilitation of group dialogue are critical for success, as in any focus group. This article addresses a gap in the literature on feasibility and methodology for using video conference technology to conduct qualitative data collection with groups.U19 OH008857/OH/NIOSH CDC HHSUnited States/2022-08-16T00:00:00Z35979254PMC93805891179

A stakeholder-based system dynamics model of return-to-work: a research protocol

Background. Returning to work following a job-related injury or illness can be a complex process, influenced by a range of interrelated personal, psychosocial, and organizational components. System dynamics modelling (SDM) takes a sociotechnical systems perspective to view return-to-work (RTW) as a system made up of multiple feedback relationships between influential components. Design and Methods. To build the RTW SDM, a mixed-method approach will be used. The first stage, that has already been completed, involved creating a baseline model using key informant interviews. Second, in two manufacturing companies, stakeholder-based models will be developed through interviews and focus groups with senior management, frontline workers, and frontline supervisors. Participants will be asked about the RTW process in general and more targeted questions regarding influential components. Participants will also be led through a reference mode exercise where they will be asked to estimate the direction, shape and magnitude of relationships between influential components. Data will be entered into the software program Vensim that provides a platform for visualizing system-structure and simulating the effects of adapting components. Finally, preliminary model validity testing will be conducted to provide insights on model generalizability and sensitivity. Expected Impact of the study for Public Health. The proposed methodology will create a SDM of the RTW process using feedback relationships of influential components. It will also provide an important simulation tool to understand system behaviour that underlies complex RTW cases, and examine anticipated and unanticipated consequences of disability management policies

Meeting Review: 2002 O'Reilly Bioinformatics Technology Conference

At the end of January I travelled to the States to speak at and attend the first O’Reilly Bioinformatics Technology Conference [14]. It was a large, well-organized and diverse meeting with an interesting history. Although the meeting was not a typical academic conference, its style will, I am sure, become more typical of meetings in both biological and computational sciences

ANALYZING TRENDS AND PATTERNS IN ADVERSE BIRTH OUTCOMES IN MASSACHUSETTS FROM 2000-2014

This study explores spatio-temporal trends and patterns in adverse birth outcomes (ABO) in the state of Massachusetts from 2000-2014. ABO include low birth weight (\u3c 2500 g) and preterm deliveries (gestational age \u3c 37 weeks). This research evaluates if there are areas in Massachusetts that have experienced statistically significant increases or decreases in ABO throughout the study period. Birth data was obtained from the Massachusetts Department of Public Health and only singleton, live births were included for the analysis. The data were aggregated to census tracts, and the total number of births and the number of ABOs were calculated for each census tract for each year. In total, 1478 census tracts were included in this analysis. Births to non-Hispanic black mothers and births to non-Hispanic white mothers were separated to evaluate if trends in ABO are similar regardless of race as previous literature has identified a much higher rate of ABO in births to non-Hispanic black women. Trends and patterns of ABO were evaluated using the Space Time Cube and the Mann-Kendall statistic and a multivariate regression was conducted to identify potential correlations between socioeconomic factors and prevalence of ABO. Results of this study can be used to identify areas that are experiencing an increase in ABO to potentially allow for more effective, targeted intervention methods

Data, Analytics and Community-Based Organizations: Transforming Data to Decisions for Community Development

Big data and analytics for community-focused nonprofits can improve analytic capabilities and increase impact. However, Community-based organization needs do not match well with conventional notions of data and analytics. Decentralized model for data-driven research may be preferred, but centralized model is dominant. CBOs can articulate data needs, but are often not yet able to access relevant data easily and use data effectively. Finally, certain values maximize impact of big data and analytic

Combining role-play with interactive simulation to motivate informed climate action: Evidence from the World Climate simulation

Climate change communication efforts grounded in the information deficit model have largely failed to close the gap between scientific and public understanding of the risks posed by climate change. In response, simulations have been proposed to enable people to learn for themselves about this complex and politically charged topic. Here we assess the impact of a widely-used simulation, World Climate, which combines a socially and emotionally engaging role-play with interactive exploration of climate change science through the C-ROADS climate simulation model. Participants take on the roles of delegates to the UN climate negotiations and are challenged to create an agreement that meets international climate goals. Their decisions are entered into C-ROADS, which provides immediate feedback about expected global climate impacts, enabling them to learn about climate change while experiencing the social dynamics of negotiations. We assess the impact of World Climate by analyzing pre- and post-survey results from >2,000 participants in 39 sessions in eight nations. We find statistically significant gains in three areas: (i) knowledge of climate change causes, dynamics and impacts; (ii) affective engagement including greater feelings of urgency and hope; and (iii) a desire to learn and do more about climate change. Contrary to the deficit model, gains in urgency were associated with gains in participants’ desire to learn more and intent to act, while gains in climate knowledge were not. Gains were just as strong among American participants who oppose government regulation of free markets–a political ideology that has been linked to climate change denial in the US–suggesting the simulation’s potential to reach across political divides. The results indicate that World Climate offers a climate change communication tool that enables people to learn and feel for themselves, which together have the potential to motivate action informed by science.National Science Foundation (U.S.) (grant DUE-124558)National Science Foundation (U.S.) (grant ICEER-1701062

Wastewater Surveillance for SARS-CoV-2 on College Campuses: Initial Efforts, Lessons Learned, and Research Needs

Wastewater surveillance for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging approach to help identify the risk of a coronavirus disease (COVID-19) outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, and nursing homes) scales. This paper explores the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation. We present the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resources, and impacts from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions. Our analysis suggests that wastewater monitoring at colleges requires consideration of local information needs, sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members

Test Data Sets for Evaluating Data Visualization Techniques

In this paper we take a step toward addressing a pressing general problem in the development of data visualization systems — how to measure their effectiveness. The step we take is to define a model for specifying the generation of test data that can be em-ployed for standardized and quantitative testing of a system’s per-formance. These test data sets, in conjunction with appropriate testing procedures, can provide a basis for certifying the effective-ness of a visualization system and for conducting comparative studies to steer system development

Selected NSF projects of interest to K-12 engineering and technology education

The National Science Foundation (NSF) portfolio addressing K-12 engineering and technology education includes initiatives supported by a number of programs. This list includes projects identified by searching lists of awards in the respective NSF programs as well as projects suggested for inclusion by researchers, practitioners, and program officers. The list includes projects concerned with standards in technology education, teacher professional development, centers for learning and teaching, preparation of instructional materials, digital libraries, and technological activities in informal settings, as well as small numbers of projects in several other areas. This compilation provides current information on projects of interest to educators, instructional designers, consultants, and researchers who are concerned with the development, delivery, and evaluation of instruction to develop technological literacy, particularly in K-12 engineering and technology education. Projects are grouped under headings for each program providing primary funding. Within each program, the award numbers determine the order of listing, with the most recent awards at the beginning of the list. Each award entry includes the project title, NSF award number, funding program, amount of the award to date, starting and ending dates, the principal investigator (PI), the grantee institution, PI contact information, the url of the project Web site, a description of the project’s activities and accomplishments, relevant previous awards to the PI, products developed by the project, and information on the availability of those products