Agency’s DEI Analysis Sample Clauses

Agency’s DEI Analysis. The Agency will assess the current state of DEI within the USMS workforce, examine existing USMS policies, procedures, and practices, identify areas to improve DEI, develop strategic plans to identify changes in the merit promotion, hiring and recruitment processes deemed necessary by USMS to ensure transparency, equity, access, and uniformity. The Agency’s DEI analysis is subject to Section II(P). The Agency will promote a data driven approach which may include using benchmarks or indicators consistent with DOJ guidance to improve the effectiveness of DEI in USMS’ programs, policies, and practices. The Agency will monitor and report the success of various DEI initiatives to USMS leadership during the time period of this Settlement Agreement, to include: evaluating the diversity of the Career Board; recommending modifications, as necessary, to ensure recommending and selecting officials are utilizing decision-making processes that are uniform and consistent to promote fairness and equity; and measuring by race the participation and completion rate of DUSMs in the Deputy Development Program (hereinafter, “DDP”), a voluntary program.
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Related to Agency’s DEI Analysis

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall 45th-day FTSE inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.

  • DATA COLLECTION AND ANALYSIS The goal of this task is to collect operational data from the project, to analyze that data for economic and environmental impacts, and to include the data and analysis in the Final Report. The Recipient shall: • Develop a data collection plan. • Troubleshoot any issues identified. • Collect at least six months of data, including: o Throughput, usage, and operations data o Normal operating hours, up time, down time, and explanations of variations o Feedstock supply summary o Maximum capacity of the new fuel production system in diesel gallon equivalents (DGE) and ordinary units o Gallons of gasoline and/or diesel fuel displaced (with associated mileage information), along with value converted into DGE o Record of wastes from production processes (wastewater, solid waste, criteria emissions, etc.) o Expected air emissions reduction, for example:  Non-methane hydrocarbons  Oxides of nitrogen  Non-methane hydrocarbons plus oxides of nitrogen  Particulate Matter  Formaldehyde o Duty cycle of the current fleet and the expected duty cycle of future vehicle acquisitions, if applicable o Specific jobs and economic development resulting from this project o Levelized cost of fuel and finished fuel price o Analysis of total facility costs, operation and maintenance costs, marginal abatement costs • Comply with the Petroleum Industry Information Reporting Act (PIIRA) and complete CEC Form M810E and CEC Form M13 on a monthly basis for submission to the California Energy Commission’s PIIRA Data Collection Unit. • Provide a written record of registering with the Low Carbon Fuel Standard and Renewable Fuel Standard programs. • Identify any current and planned use of renewable energy at the facility. • Describe any energy efficiency measures used in the facility that may exceed Title 24 standards in Part 6 of the California Code Regulations. • Provide data on potential job creation, economic development, and increased state revenue as a result of expected future expansion. • Provide a quantified estimate of the project’s carbon intensity values or provide an Air Resources Board approved pathway carbon intensity. • Estimate annual life-cycle greenhouse gas emission reduction. • Compare any project performance and expectations provided in the proposal to Energy Commission with actual project performance and accomplishments. • Collect data, information, and analysis described above and include in the Final Report.

  • Disturbance Analysis Data Exchange The Parties will cooperate with one another and the NYISO in the analysis of disturbances to either the Large Generating Facility or the New York State Transmission System by gathering and providing access to any information relating to any disturbance, including information from disturbance recording equipment, protective relay targets, breaker operations and sequence of events records, and any disturbance information required by Good Utility Practice.

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • Study An application for leave of absence for professional study must be supported by a written statement indicating what study or research is to be undertaken, or, if applicable, what subjects are to be studied and at what institutions.

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