Results-based Monitoring and Evaluation

Top PDF Results-based Monitoring and Evaluation:

Results- Based Monitoring

Results- Based Monitoring

Sharing and comparing results findings with development partners is also beneficial on a number of levels. “ . . . [L]earning from evaluative knowledge becomes wider than simply organizational learning and also encompasses development learning. It helps to test systematically the validity, relevance and progress of the development hypotheses” (UNDP 2002, p. 76). Since the introduction of National Poverty Re- duction Strategies and similar broadly based strategies and policies, the need for information sharing among development partners—es- pecially bilateral and multilateral aid agencies—has increased. “These and other joint initiatives are premised on the assumption that coordinated agency action will be more effective than individual efforts. Yet mechanisms for exchanging evaluation lessons between [aid] agencies are still weak, and practical hurdles continue to get in the way of more frequent joint evaluations—which, when they do occur, are generally seen as a very good way of sharing lessons and methodologies” (OECD 2001, p. 31). More could also be done with respect to sharing performance findings with donor recipient coun- tries. All key stakeholders—particularly recipient countries—need to be part of the M&E process from start to finish.
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Entropy Based Multicriterion Evaluation for Rainfall Monitoring Networks under the Impact of Discretization

Entropy Based Multicriterion Evaluation for Rainfall Monitoring Networks under the Impact of Discretization

Rainfall monitoring networks provide fundamental input for hydrological models. Entropy, as a measure of uncertainty or information, is widely used in network evaluation or optimization. Computing entropy requires data discretization with methods like floor function, whereas the parameter selected is crucial and influential. This paper proposed an entropy based multicriterion method for evaluation of rainfall monitoring networks. Two indexes, separately account for information content and redundancy, were integrated with ideal point method. Values of the objective function were then computed to rank the stations and identify the significant ones. To find out the effect of discretization, parameter of the floor function was altered to get different schemes. A rainfall monitoring network containing 95 stations in the western Taihu Lake basin of China was analyzed as case study. Results showed that stations in the northern hilly area are more prominent in the network. Impact of the parameter in floor function is non-negligible as it determines entropy values, including its ranging scale and distribution pattern. Location of the stations rank extremely high and low also varies. As discretization process has an impact on the evaluation, it should be carefully used and sensitivity analysis is needed to avoid subjectivity and arbitrariness.
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Developing monitoring and evaluation tools for event-based surveillance: experience from Vietnam

Developing monitoring and evaluation tools for event-based surveillance: experience from Vietnam

With the information collected from the M&E process, the evaluation team recommended that the MoH Vietnam improve EBS data quality through: a) encour- aging regular use of the verification form for all events; b) simplifying the monthly summary report form; c) en- suring each district records all events verified, including basic information such as type of event, and date/time of onset, detection, notification, and response; d) develop- ing an electronic data management system for EBS reporting, and e) conducting refresher trainings on how to register and document signals and events properly. In addition, the TWG revised the EBS implementation guidelines and training materials before scale-up nation- wide. The results of the evaluation and lessons learned were shared with MoH decision makers, and in March 2018, the MoH issued a mandate to incorporate the EBS program into Vietnam’s national surveillance platform.
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Evaluation Of Seepage Discharge On Jatibarang Dam Based On Instrumentation Data Monitoring

Evaluation Of Seepage Discharge On Jatibarang Dam Based On Instrumentation Data Monitoring

The condition of foundation and geology of the dam base are substantial to the seepage and stability of the dam. Jatibarang is in the active fault of Semarang. The stratigraphy composition of the Jatibarang dam based on a lithostratigraphic sequence from old to young namely resin tuffan sandstone unit, resin breccia unit and alluvial deposit unit. The geological structures that develop in the form of faults and fractures among others the Sekaran vertical fault and Gribiksari horizontal fault. From the results of the analysis it was found that the type of fault in the form of left vertical fault and right horizontal fault [9]. Based on the geological data led the jatibarang dam prone to seepage with (lugeon value > 5) and foundation engineering is necessary even though the stability of the foundation is quite good [10]. Seepage on homogeneous soil fill type dam are influenced by the material permeability coefficient (k), upstream/downstream slope (i) and total head (h) [11]. Building a dam in a fault area can increase the risk of seepage even though its stability is considered sufficient. But efforts of the foundation improvement with the application of cutoff wall show better results in seepage handling compared to upstream blanket and curtain grouting [11] [12]. Uncontrolled seepage and phreatic lines have a major effect on slope stability of the dam body especially when rapid draw down [13].
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An evaluation of risk-based monitoring in pragmatic trials in UK Clinical Trials Units

An evaluation of risk-based monitoring in pragmatic trials in UK Clinical Trials Units

Results: Most CTUs reported using remote combined with on-site monitoring. All reported undertaking a risk assessment for Clinical Trials of Investigational Medicinal Products (CTIMPs) and 21 units did so for non-CTIMPs. Most CTIMP risk assessments used MHRA (Medicines and Healthcare products Regulatory Agency) classifications, although some also employed staff judgement. Almost all units based their monitoring on perceived risk level; this number was higher for CTIMPs (n = 22) than for non-CTIMPs (n = 19). In most cases, monitoring plans were produced. More CTUs revisited risk assessments during trials in CTIMPs (n = 21) than in non-CTIMPs (n = 18). Small numbers of units reviewed the monitoring approach always (n = 4) or sometimes (n = 9) and few used the reflection to guide future monitoring.
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A Fuzzy Comprehensive Evaluation of Public Satisfaction with Urbanization Based on Social Media Monitoring

A Fuzzy Comprehensive Evaluation of Public Satisfaction with Urbanization Based on Social Media Monitoring

We artificially annotate the text information of public sentiment, and construct three types of topic feature thesaurus. The first type of topic feature thesaurus is clustering according to the summary results. Each thesaurus represents one category. The thesaurus contains all the topic feature words belonging to this category labeled manually, which are used to extract the topic words. Finally, the topic words are classified and archived according to the content of the thesaurus. [4]

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Monitoring Program Results and Next Steps

Monitoring Program Results and Next Steps

Integrated Analytics: One of the core imperatives of the new Performance- Based Planning Process that MAP-21 will help agencies implement is the ability to integrate congestion monitoring into a larger planning and programming process. The long term vision for agencies like Alameda CTC that have built a sophisticated congestion monitoring infrastructure is to move from periodic reporting to a continuous monitoring approach, deeply integrated into Alameda CTC’s business processes. This integration will require changes to the ways in which Alameda CTC uses data to make decisions about project selection and evaluation. To achieve this, Alameda CTC staff will need to someday find ways to use its analytics tools as part of their daily process. Nationally, agencies that have developed these tools are beginning to modify their fundamental business processes, in order to fully leverage the new information from them. Alameda CTC may consider ways to begin this change towards adopting Big Data and analytics as integral part of Alameda CTC’s planning and monitoring.
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Fuzzy Logic Based Expert System for Academic Staff Evaluation and Progress Monitoring

Fuzzy Logic Based Expert System for Academic Staff Evaluation and Progress Monitoring

Developing a strong academic system is a key factor in ensuring high quality education. The continuous performance evaluation of the academic staff contributes not only to the constant development of the teachers themselves, but also favorably impacts the students’ evolution. Students can greatly benefit from teachers who are well prepared, who apply innovative teaching methods, who are open and empathic, especially in the first (introductory) years. On the other hand, for students that are in their specialization years (3 rd or 4 th , or in master studies), a teacher with high research results and good knowledge transfer skills can be of more help. A match between student needs and teacher abilities is therefore necessary for obtaining successful academic outcomes, which can be translated into reduced dropout rates and low numbers of students with failed subjects. Conventional evaluations tools often rely on making computations between crisp values, whereas the majority of the performance indicators are qualitative. Recent approaches investigate and validate the use of soft computing techniques (fuzzy logic, neural networks, and genetic algorithms) in developing modern evaluation tools.
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Toolkit for monitoring and evaluation of indoor residual spraying for visceral leishmaniasis control in the Indian subcontinent: application and results.

Toolkit for monitoring and evaluation of indoor residual spraying for visceral leishmaniasis control in the Indian subcontinent: application and results.

2.2. Study Design, Population, and Timeline. The study has been carried out from April 2009 to June 2010 in 9 districts in India and Nepal and in two Upazilas (subdistricts) in Bangladesh by 5 research teams: Institute of Medicine (IOM) at the Tribhuvan University in Kathmanadi/Nepal (Sarlahi, Dhanusha and Mahottari districts); BP Koirala Institute of Health Sciences (BPKIHS) in Dharan, Nepal (Morang, Sun- sari, and Saptari); Rajendra Memorial Research Institute of Medical Sciences (RMRIMS) in Patna, Bihar, India (Muzaf- farpur, Vaishali, and Samastipur) and International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), and the National Institute of Preventive and Social Medicine (NIPSOM), Dhaka, Bangladesh (Trishal Upazilla and Ful- baria Upazila in Mymensingh District) (Figure 2). The study sites were purposively selected based on high VL endemicity. In India, two primary health care centres (PHCs) were selected from each of the above-mentioned districts, in total six PHCs, chosen on the basis of previous VL case load. Twelve villages (two from each PHC, one close and one far away from the PHC) were selected randomly for assessing the IRS operations. Additionally, four villages were randomly selected as control area for the assessment of vector densities. In Nepal, in the six study districts, 24 village development committees (VDCs) were selected based on high VL case load according to passive surveillance data. In each district, two VDCs were near and two were distant from the district headquarter from where the IRS program was operated. The 24 VDCs were then divided in those where IRS was programmed and those where it was not. From each VDC one study village was selected randomly so that in the end 12 IRS intervention villages and 12 control villages were assessed. In Bangladesh, 3 and 4 villages were selected from Fulbaria and Trishal Upazila, respectively, according to the VL endemicity, and IRS has been carried out by the programme. Additionally, in each Upazila one village far away from the IRS village was selected randomly as a control (Figure 3).
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An evaluation of risk based monitoring in pragmatic trials in UK Clinical Trials Units

An evaluation of risk based monitoring in pragmatic trials in UK Clinical Trials Units

Results: Most CTUs reported using remote combined with on-site monitoring. All reported undertaking a risk assessment for Clinical Trials of Investigational Medicinal Products (CTIMPs) and 21 units did so for non-CTIMPs. Most CTIMP risk assessments used MHRA (Medicines and Healthcare products Regulatory Agency) classifications, although some also employed staff judgement. Almost all units based their monitoring on perceived risk level; this number was higher for CTIMPs ( n = 22) than for non-CTIMPs ( n = 19). In most cases, monitoring plans were produced. More CTUs revisited risk assessments during trials in CTIMPs ( n = 21) than in non-CTIMPs ( n = 18). Small numbers of units reviewed the monitoring approach always ( n = 4) or sometimes ( n = 9) and few used the reflection to guide future monitoring.
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Algebra-Based Scalable Overlay Network Monitoring: Algorithms, Evaluation, and Applications

Algebra-Based Scalable Overlay Network Monitoring: Algorithms, Evaluation, and Applications

We additionally show how streaming media systems can ben- efit from TOM. The media application’s total adaptation time is less than three seconds on average. This includes the time from when the congestion/failure occurs, to when TOM detects it and sends alternative overlay path to the client, until the client sets up overlay connection to the server and concatenates new streams with the old ones in the buffer. Then, with our buffering techniques, which retransmit lost packets during path switch, we achieve skip-free media playback on the PlanetLab experiments. The rest of the paper is organized as follows. We survey related work in Section II, describe our model and basic static algorithms in Section III, and evaluate scalability in Section IV. We extend the algorithms to adapt to topology changes in Section V and to handle overload and topology measurement errors in Section VI. The methodology and results of our simu- lations are described in Section VIII, and those of our Internet experiments are presented in Section IX. Finally, we conclude in Section X.
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Use of Evaluation Results

Use of Evaluation Results

3) Employer Survey will be conducted every 5 years after the first HSM graduates using a mail survey. Mailing list will be obtained from HSM graduates, career services and internship records from the past 5 years. Results of a series of questions designed specifically to rate knowledge of

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Use of Evaluation Results

Use of Evaluation Results

Based on the results of the 2005 evaluations, faculty has determined that there may be a need for more “hands-on” projects within foodservice organizations prior to the beginning of the Supervised Practice. Students are now utilizing the Foods Laboratory to provide catering for a number of functions on campus. A standardized third- party evaluation process will be developed (similar to that used in the Supervised Practice rotations) so that the recipient of the catered function can provide objective and subjective (taste and presentation) feedback. Perform basic principles of
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Community-Based Initiatives Series 14. Monitoring, supervisory and evaluation tools for community-based initiatives

Community-Based Initiatives Series 14. Monitoring, supervisory and evaluation tools for community-based initiatives

Investing in health, particularly that of the poor, is central to the achievement of the Millennium Development Goals. In support of this strategy WHO's Regional Office for the Eastern Mediterranean is actively promoting in countries of the Region community-based initiatives like Basic Development Needs, Healthy Cities, Healthy Villages and Women in Health and Development. These approaches are based on the principle that good health status-an important goal in its own right−is central to creating and sustaining capabilities of poor people to meet their basic needs and to escape from poverty. The Community- Based Initiatives Series is aimed at facilitating the management of such initiatives. Users of the series may include government authorities, community representatives, WHO and other international agencies and nongovernmental organizations.
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Survey Evaluation Results

Survey Evaluation Results

- General SatisfactionPlease rate the following items in regard to how much you ENJOYED or were SATISFIED with the described portion of College 101:New Student Orientation.Use the rating[r]

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Use of Evaluation Results

Use of Evaluation Results

3) Employer Survey will be conducted every 5 years beginning spring 2006 using a mail survey. Mailing list will be obtained from MGT graduates, career services and internship records from the past 5 years. Results of a series of questions designed specifically to rate teamwork skills will be tabulated and cross- tabulated. Comparisons will be made with results of Business Graduate Survey. Once a baseline is established data will be compared to previous years’ results. At least 75% of the employers will report that management majors demonstrate problem solving,
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Use of Evaluation Results

Use of Evaluation Results

• SP#3 – The university community will benefit from better communication, effective operational and administrative systems, and optimal work environment, and a performance-responsive re[r]

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Use of Evaluation Results

Use of Evaluation Results

series of questions designed specifically to rate knowledge of marketing core concepts will be tabulated and cross-tabulated. Comparisons will be made with results of Business Graduate Survey. Once a baseline is established data will be compared to previous years’ results. At least 75% of the employers will report that marketing majors demonstrate the ability to identify and use marketing core concepts.

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