Job Training That Works: Findings from the Sectoral Employment Impact Study

Public funding for employment and training has dwindled over the past several decades. Yet in communities all over the United States, there has been considerable development of alternative approaches to help low-income people gain skills for particular industry sectors. In 2003, with support from the Charles Stewart Mott Foundation, P/PV launched the Sectoral Employment Impact Study to test the efficacy of one such approach. Using a random-assignment design, P/PV researchers set out to answer the question: Can well-implemented, sector-focused training programs make a difference to the earnings of low-income disadvantaged workers and job seekers? Three organizations were selected to participate in the study: Jewish Vocational Service in Boston, Per Scholas in the Bronx and the Wisconsin Regional Training Partnership in Milwaukee. This issue of P/PV In Brief summarizes impacts found for participants across the three sites, including increases in earnings and employment; a more detailed report on the study will be released in late 2009

Putting Data to Work: Interim Recommendations From the Benchmarking Project

Calls on policy makers and funders to foster continuous improvement in workforce development by supporting consistent performance measures, easily exchanged data, useful reports on trends, peer learning opportunities, and broader project participation

Tuning In to Local Labor Markets: Findings From the Sectoral Employment Impact Study, Executive Summary

This executive summary highlights the main findings and conclusions from "Tuning In to Local Labor Markets: Findings From the Sectoral Employment Impact Study" -- the first random assignment evaluation of sector-focused training efforts. We studied three nonprofit organizations -- a community-based organization focused on medical and basic office skills in Boston, a social venture focused on information technology in the Bronx, and an employer-union partnership focused on healthcare, manufacturing and construction in Milwaukee -- and found that participants in these programs worked more, had higher earnings and found better jobs (as measured by hourly wages and access to benefits) than members of the control group.The executive summary examines strategies used by the three organizations in the study, describes the people served, and outlines common elements that likely contributed to the programs success

Tuning In to Local Labor Markets: Findings From the Sectoral Employment Impact Study

Over the past two decades, an innovative approach to workforce development known as sectoral employment has emerged, resulting in the creation of industry-specific training programs that prepare unemployed and underskilled workers for skilled positions and connect them with employers seeking to fill such vacancies. In 2003, with funding from the Charles Stewart Mott Foundation, P/PV launched the "Sectoral Employment Impact Study" to rigorously assess whether mature, nonprofit-led sector-focused programs could increase the earnings of disadvantaged workers and job seekers. P/PV selected three organizations to participate in the study -- a community-based organization focused on medical and basic office skills in Boston, a social venture focused on information technology in the Bronx, and an employer-union partnership focused on healthcare, manufacturing and construction in Milwaukee. The study's findings show that program participants earned about $4,500 -- 18 percent -- more than the control group over the course of the study and$4,000 -- 29 percent -- more in the second year alone. Study participants were also more likely to find employment, work more consistently, work in jobs that paid higher wages, and work in jobs that offered benefits. Furthermore, there were earnings gains for each subgroup analyzed, including African Americans, Latinos, immigrants, formerly incarcerated individuals and young adults. Tuning In to Local Labor Markets also examines the strategies employed by the three organizations that took part in the study, as well as the common elements that appeared to be critical to their success. Implications for practice, policy and future research are explored; a forthcoming piece will provide detailed recommendations for policymakers

Setting and motivation in the decision to participate: An approach to the engagement of diverse samples in mobile research.

Internet and mobile based research are powerful tools in the creation of large, cohort studies (eCohort). However, recent analysis indicates that an underrepresentation of minority and low income groups in these studies might exceed that found in traditional research [1-5]. In this report, we present findings from an experiment in research engagement using the Eureka Research Platform developed to enroll diverse populations in support of biomedical clinical research. This experiment involved the recruitment of African American and Latino participants in a smartphone based survey at a temporary, charitable, dental event sponsored, in part, by the research team, in order to explore the impact of setting and approach on recruitment outcomes. 211 participants enrolled including a significant representation of African Americans (51%) and Latinos (31%) and those with education levels at high school or less (37%). Interviews conducted after the study confirmed that our recruitment efforts within the context of a service event affected the decision to participate. While further research is necessary, this experiment holds promise for the engagement of underrepresented groups in research

College of Forestry Integrated Research Project : ecological and socioeconomic responses to alternative silvicultural treatments

The College of Forestry Integrated Research Project (CFIRP) is an on-going experiment in the eastern Coast Range foothills of western Oregon. Started in 1989, a team of scientists, resource managers, and students at Oregon State University designed and implemented silvicultural alternatives to clearcutting. These silvicultural practices aimed to create and retain features of mature and old-growth Douglas- fir (Pseudotsuga menziesii) forests while also producing timber. Fine-, moderate-, and large-scale natural disturbance patterns served as the basis for prescriptions. The study includes replicates of three silvicultural treatments (n = 27 stands) wherein 33% to 95% of the timber volume was removed, three non-replicated demonstration treatments wherein 33% of timber volume was removed in variable sized and shaped patches, and untreated controls (n = 3 stands). Additionally, clumped or randomly distributed snags were created from green trees in each stand. In this book, CFIRP scientists describe harvest challenges and economics; short-term (10-yr) responses of vegetation, wildlife, and humans to silvicultural treatments; and additional studies conducted using CFIRP study sites. A synopsis of past and present research and management directions also is included. Work continues on CFIRP today, and data collected from previous studies are available to other researchers. By comparing characteristics of forests managed under different silvicultural systems, we will be better able to assess their potential economic, social, and ecological contributions to managed forest landscapes

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple medical conditions, including diabetes (0.8451), high cholesterol (0.7441), high blood pressure (0.8086), and sleep apnea (0.8298). We compare two semi-supervised train- ing methods, semi-supervised sequence learning and heuristic pretraining, and show they outperform hand-engineered biomarkers from the medical literature. We believe our work suggests a new approach to patient risk stratification based on cardiovascular risk scores derived from popular wearables such as Fitbit, Apple Watch, or Android Wear.Comment: Presented at AAAI 201

Definition of the zebrafish genome using flow cytometry and cytogenetic mapping

<p>Abstract</p> <p>Background</p> <p>The zebrafish (<it>Danio rerio</it>) is an important vertebrate model organism system for biomedical research. The syntenic conservation between the zebrafish and human genome allows one to investigate the function of human genes using the zebrafish model. To facilitate analysis of the zebrafish genome, genetic maps have been constructed and sequence annotation of a reference zebrafish genome is ongoing. However, the duplicative nature of teleost genomes, including the zebrafish, complicates accurate assembly and annotation of a representative genome sequence. Cytogenetic approaches provide "anchors" that can be integrated with accumulating genomic data.</p> <p>Results</p> <p>Here, we cytogenetically define the zebrafish genome by first estimating the size of each linkage group (LG) chromosome using flow cytometry, followed by the cytogenetic mapping of 575 bacterial artificial chromosome (BAC) clones onto metaphase chromosomes. Of the 575 BAC clones, 544 clones localized to apparently unique chromosomal locations. 93.8% of these clones were assigned to a specific LG chromosome location using fluorescence <it>in situ </it>hybridization (FISH) and compared to the LG chromosome assignment reported in the zebrafish genome databases. Thirty-one BAC clones localized to multiple chromosomal locations in several different hybridization patterns. From these data, a refined second generation probe panel for each LG chromosome was also constructed.</p> <p>Conclusion</p> <p>The chromosomal mapping of the 575 large-insert DNA clones allows for these clones to be integrated into existing zebrafish mapping data. An accurately annotated zebrafish reference genome serves as a valuable resource for investigating the molecular basis of human diseases using zebrafish mutant models.</p

Informing efficient randomised controlled trials: Exploration of challenges in developing progression criteria for internal pilot studies

Objectives: Designing studies with an internal pilot phase may optimise the use of pilot work to inform more efficient randomised controlled trials (RCTs). Careful selection of preagreed decision or 'progression' criteria at the juncture between the internal pilot and main trial phases provides a valuable opportunity to evaluate the likely success of the main trial and optimise its design or, if necessary, to make the decision not to proceed with the main trial. Guidance on the appropriate selection and application of progression criteria is, however, lacking. This paper outlines the key issues to consider in the optimal development and review of operational progression criteria for RCTs with an internal pilot phase. Design: A structured literature review and exploration of stakeholders' opinions at a Medical Research Council (MRC) Hubs for Trials Methodology Research workshop. Key stakeholders included triallists, methodologists, statisticians and funders. Results: There is considerable variation in the use of progression criteria for RCTs with an internal pilot phase, although 3 common issues predominate: trial recruitment, protocol adherence and outcome data. Detailed and systematic reporting around the decisionmaking process for stopping, amending or proceeding to a main trial is uncommon, which may hamper understanding in the research community about the appropriate and optimal use of RCTs with an internal pilot phase. 10 top tips for the development, use and reporting of progression criteria for internal pilot studies are presented. Conclusions: Systematic and transparent reporting of the design, results and evaluation of internal pilot trials in the literature should be encouraged in order to facilitate understanding in the research community and to inform future trials