33 resultados para OPTIONAL SCREENING TOOLS
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Community Development News from the Iowa Department of Economic Development
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Community Development News from the Iowa Department of Economic Development
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The Iowa Department of Administrative Services - Human Resources Enterprise (DAS-HRE) has developed a variety of tools and resources to address those concerns. Loss of institutional knowledge, or knowledge transfer as it is more frequently referred to, is one of the main topics of the Workforce Planning Guide. Potential difficulties finding new workers was one of the major reasons for adding a chapter on recruitment in the Applicant Screening Manual.
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The State of Iowa and the Hiring Practices Working Group commissioned this review of the State’s hiring practices in response to recent concerns about these practices involving racial discrimination claims against the Departments of Human Services, Transportation, and Iowa Workforce Development. The State of Iowa should be commended for undertaking this review. The State has a longstanding Affirmative Action Program and commitment to diversity – they instituted their Affirmative Action Program in 1973, and continue their commitment to its success by making the changes necessary to ensure the program is viable and sustainable. Iowa Department of Administrative Services In July 2003, the State created the Iowa Department of Administrative Services (DAS) as a way to manage and coordinate the major resources of state government. DAS provides human resource services through an entrepreneurial management model. Entrepreneurial management is a customer-focused approach to delivering services. The customer departments have input about what services and products they want from DAS and in turn DAS is funded by the customer departments through purchases of DAS services and products. DAS looks to offer new and additional services (for example recruitment support and coordination) to various customers on a fee-for-service basis. A customer council is charged with approving the DAS business plan, establishing the rate for services, and reviewing service delivery and complaints. Under this entrepreneurial model, human resource services are provided by DAS-HRE (Human Resources Enterprise) central staff, 12 DAS-HRE Personnel Officers located at the customer departments, and customer agency staff. The majority of the recruitment and hiring functions are done by the customer (hiring) departments and their staff. Applications for employment are submitted using the BrassRing system with applicants being qualified by DAS-HRE employees. Since the creation of Human Resources Enterprise, DAS-HRE has strived to provide human resource tools to the departments. The Screening Manual and the Supervisor’s Manual are just two examples of the resources created for the hiring departments. They also provide Supervisor Training for newly appointed supervisors. Larger departments have dedicated staff assigned to human resource activities. The staff at the departmental level may or may not have a human resources background. Iowa Population and Workforce The 2000 U.S. Census indicated that Iowa’s population was 2,926,324. According to this census, 92.6 percent of Iowa’s population identified their race as white (alone). The nonwhite alone or minority population (including Black or African American, Asian, Native Hawaiian or Pacific Islander, Hispanic or Latino, American Indian or Alaska Native, two or more races, or some other race) was 7.4 percent.
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This guide was created to aid communities in the process of smart planning and is organized around the 10 Smart Planning Principles signed into Iowa law in 2010. A general description of the concept, strategies for encouraging use, policy tools for implementation, and a current Iowa example are presented for each Principle. In addition, a brief list of resources is provided to help local governments, community organizations and citizen planners find information and ideas on community involvement and incorporation of smart planning concepts in every day decisions.
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This research project combined various datasets, existing and created for this project, into an Interactive Mapping Service (IMS) for use by Iowa DOT personnel, county planning and zoning departments and the public in order to make more informed decisions regarding aggregate sources and future access to them. Iowa DOT Technical Advisory Committee meetings were held, along with public forum presentations, in order to understand better the social, ecological and economic limitations to extracting aggregate. The information needed by potential users was conveyed and integrated into a single informational source, the Aggregate Planning IMS.
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The overarching goal of this project was to identify and evaluate cognitive and behavioral indices that are sensitive to sleep deprivation and may help identify commercial motor vehicle drivers (CMV) who are at-risk for driving in a sleep deprived state and may prove useful in field tests administered by officers. To that end, we evaluated indices of driver physiognomy (e.g., yawning, droopy eyelids, etc.) and driver behavioral/cognitive state (e.g. distracted driving) and the sensitivity of these indices to objective measures of sleep deprivation. The measures of sleep deprivation were sampled on repeated occasions over a period of 3.5-months in each of 44 drivers diagnosed with Obstructive Sleep Apnea (OSA) and 22 controls (matched for gender, age within 5 years, education within 2 years, and county of residence for rural vs. urban driving). Comprehensive analyses showed that specific dimensions of driver physiognomy associated with sleepiness in previous research and face-valid composite scores of sleepiness did not: 1) distinguish participants with OSA from matched controls; 2) distinguish participants before and after PAP treatment including those who were compliant with their treatment; 3) predict levels of sleep deprivation acquired objectively from actigraphy watches, not even among those chronically sleep deprived. Those findings are consistent with large individual differences in driver physiognomy. In other words, when individuals were sleep deprived as confirmed by actigraphy watch output they did not show consistently reliable behavioral markers of being sleep deprived. This finding held whether each driver was compared to him/herself with adequate and inadequate sleep, and even among chronically sleep deprived drivers. The scientific evidence from this research study does not support the use of driver physiognomy as a valid measure of sleep deprivation or as a basis to judge whether a CMV driver is too fatigued to drive, as on the current Fatigued Driving Evaluation Checklist.. Fair and accurate determinations of CMV driver sleepiness in the field will likely require further research on alternative strategies that make use of a combination of information sources besides driver physiognomy, including work logs, actigraphy, in vehicle data recordings, GPS data on vehicle use, and performance tests.
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A compilation of sample pages from various employment statistical reports issued by Iowa Workforce Development (IWD), including URLs for locating electronic versions of the reports online at the IWD website
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The main function of a roadway culvert is to effectively convey drainage flow during normal and extreme hydrologic conditions. This function is often impaired due to the sedimentation blockage of the culvert. This research sought to understand the mechanics of sedimentation process at multi-box culverts, and develop self-cleaning systems that flush out sediment deposits using the power of drainage flows. The research entailed field observations, laboratory experiments, and numerical simulations. The specific role of each of these investigative tools is summarized below: a) The field observations were aimed at understanding typical sedimentation patterns and their dependence on culvert geometry and hydrodynamic conditions during normal and extreme hydrologic events. b) The laboratory experiments were used for modeling sedimentation process observed insitu and for testing alternative self-cleaning concepts applied to culverts. The major tasks for the initial laboratory model study were to accurately replicate the culvert performance curves and the dynamics of sedimentation process, and to provide benchmark data for numerical simulation validation. c) The numerical simulations enhanced the understanding of the sedimentation processes and aided in testing flow cases complementary to those conducted in the model reducing the number of (more expensive) tests to be conducted in the laboratory. Using the findings acquired from the laboratory and simulation works, self-cleaning culvert concepts were developed and tested for a range of flow conditions. The screening of the alternative concepts was made through experimental studies in a 1:20 scale model guided by numerical simulations. To ensure the designs are effective, performance studies were finally conducted in a 1:20 hydraulic model using the most promising design alternatives to make sure that the proposed systems operate satisfactory under closer to natural scale conditions.
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School dental screening of all high schools in Iowa that have participated. A state summary.
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School dental screening of all high schools in Iowa that have participated. A state summary.
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School dental screening of all high schools in Iowa that have participated. A state summary.
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School dental screening of all high schools in Iowa that have participated. A state summary.
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School dental screening of all high schools in Iowa that have participated. A state summary.
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School dental screening of all high schools in Iowa that have participated. A state summary.
