Do Community-Based Corrections Have an Effect on Recidivism Rates? A Review of Community Supervision, Supportive Reintegration, Electronic Monitoring Programs and Their Impacts on Reducing Reoffending

This paper will examine the impact and effect community-based corrections have on the reduction of recidivism for adult offenders. More specifically, I will focus on three commonly used types of such corrections in the United States: community supervision, supportive reintegration, and electronic monitoring. I propose that these community-based correctional programs will reduce reoffending rates. I will first provide a theoretical perspective to provide a foundational support, followed by a background of community-based corrections and their usage in contemporary American courts. I will then review the research regarding community supervision, supportive reintegration, and electronic monitoring, and discuss how these programs affect recidivism, how they may be improved, and implications for future research. Offender-community integration is more relevant than ever as prison populations continue to increase and more inmates are being released back into society (U.S. Department of Justice 2009). Community-based corrections, if utilized appropriately and efficiently, have the potential to decrease overcrowded prisons, be more cost-effective than incarceration, and reduce reoffending rates (Bouffard and Muftic 2006)

An open-access platform for camera-trapping data

In southern Mexico, local communities have been playing important roles in the design and collection of wildlife data through camera-trapping in community-based monitoring of biodiversity projects. However, the methods used to store the data have limited their use in matters of decision-making and research. Thus, we present the Platform for Community-based Monitoring of Biodiversity (PCMB), a repository, which allows storage, visualization, and downloading of photographs captured by community-based monitoring of biodiversity projects in protected areas of southern Mexico. The platform was developed using agile software development with extensive interaction between computer scientists and biologists. System development included gathering data, design, built, database and attributes creation, and quality control. The PCMB currently contains 28,180 images of 6478 animals (69.4% mammals and 30.3% birds). Of the 32 species of mammals recorded in 18 PA since 2012, approximately a quarter of all photographs were of white-tailed deer (Odocoileus virginianus). Platforms permitting access to camera-trapping data are a valuable step in opening access to data of biodiversity; the PCMB is a practical new tool for wildlife management and research with data generated through local participation. Thus, this work encourages research on the data generated through the community-based monitoring of biodiversity projects in protected areas, to provide an important information infrastructure for effective management and conservation of wildlife

Sources of Cardiovascular Health Information and Channels of Health Communication Among Urban Population in Nigeria

This study employed mixed methods to investigate the preferred sources of health information and later explored the views of community healthcare workers on the enablers, barriers and ways of overcoming barriers to health communication. The study found that majority of the participants preferred their source of CV (cardiovascular) health information from the healthcare workers including the medical doctors, nurses, and pharmacists. On the other hand, the least preferred source of health information was from friends, family members, and community leaders. Some of the identified enablers to community health communication include awareness programme via Non-Governmental Organisations (NGOs), community-based organisations such as faith-based organisations and healthcare facilities. Others are traditional media and social media. The identified barriers to community-based health communication include lack of knowledge and poverty, language barriers, and other miscellaneous issues including misuse of internet, lack of basic amenities and religious beliefs. The community-based healthcare providers articulated ways to overcome the identified barriers, including enlightenment programmes, using the language of the target audience, funding health awareness programmes, and monitoring of health education interventions. This study concludes that dissemination of health information using numerous channels is essential in ensuring population-wide primary prevention of diseases

An Approach to Monitor and Initiate Community Led Actions for Antenatal Care in Rural India – A Pilot Study

Background and Objective: Utilization of antenatal care in rural India is far from universal. It requires monitoring and identification of specific needs at field level for timely corrective actions. To pilot test the triangulation of rapid quantitative (Lot Quality Assurance Sampling) and qualitative (Focus Group Discussion) monitoring tools for ensuring antenatal care in a community based program. Methods: The present study was undertaken in surrounding 23 villages of Kasturba Rural Health Training Centre (KRHTC), Anji, which is also a field practice area of Mahatma Gandhi Institute of Medical Sciences (MGIMS), Sewagram. The monthly monitoring and action system of the study was based on the rapid quantitative monitoring tool (Lot Quality Assurance Sampling, LQAS)to find out poor performing supervision areas and overall antenatal service coverage and the qualitative methods (Focus group discussions (FGDs), and free listing) for exploring ongoing operational constraints in the processes for timely decision making at program and community level. A trained program supervisor paid house visit to 95 randomly selected pregnant women from 5 supervision areas by using pre-designed and pre-tested questionnaire. For poor performing indicators, semi structured FGDs and free listing exercise were undertaken to identify unmet service needs and reasons for its poor performance. Results: Registration of pregnancy within 12 weeks improved from 22.8% to 29.6%. The consumption of 100 or more IFA tablets during pregnancy significantly improved from 6.3% to 17.3%. There was significant improvement in awareness among pregnant women regarding danger signs and symptoms during pregnancy. Over three months period, the overall antenatal registration improved from 253 (67%) to 327 (86.7%). Conclusion: The present field based monitoring and action approach constructively identified the reasons for failures and directed specific collective actions to achieve the targets

The Implementation of the Community-based Monitoring System in Kota Pekalongan, Indonesia

Research team research coordinator: akhmadi researchers: asri yusrina, athia yumna data collection coaches and supervisors:smeru: athia yumna, asri yusrina, sulton mawardi, hastuti, eduwin pakpahan, palmira p. bachtiar, akhmadi pattiro: aminudin azis, sugiyarto, setyawan dwi h. university of pekalongan: siti nurhayati, choliq sabana, mahirun, andi suhermanto, yarianto editor: mukti mulyana abstract in formulating policies and development plans, the government needs accurate and updated data. the regional governments, especially at the district level, have started to play a very strategic role in the implementation of development plans in their territory since the central government enacted the law on regional autonomy. the results of the community-based monitoring system (cbms) pilot project in Indonesia show that the system can accurately enumerate regions based on the family welfare category. moreover, it can predict the family welfare enumeration which is highly accurate and completely consistent with what the local people say about the family welfare status, especially the poor's. the results were presented to the kota pekalongan stakeholders, and the local government was interested in implementing the data collection system in their city; it became the first district in Indonesia to officially implement the cbms. given Indonesia's geographical size and the decentralization that puts more power at the hands of the district governments in determining poverty alleviation programs, we believe that this monitoring system is the most suitable for Indonesia. the objective of the cbms data collection in kota pekalongan was to get comprehensive data, that can be accessed, used, and analyzed by the local government agencies and other institutions under the administration of the kota pekalongan government. moreover, the results of this data collection could be used as recommendations to the kota pekalongan government, especially when they were making development plans and budget. keywords: household, welfare, pekalongan, rank, cbm

Power to the people : evidence from a randomized field experiment of a community-based monitoring project in Uganda

This paper analyzes the importance of strengthening the relationship of accountability between health service providers and citizens for improving access to and quality of health care. How this is to be achieved, and whether it works, however, remain open questions. The paper presents a randomized field experiment on increasing community-based monitoring. As communities began to more extensively monitor the provider, both the quality and quantity of health service provision improved. One year into the program, there are large increases in utilization, significant weight-for-age z-score gains of infants, and markedly lower deaths among children. The findings on staff behavior suggest that the improvements in quality and quantity of health service delivery resulted from an increased effort by the staff to serve the community. Overall, the results suggest that community monitoring can play an important role in improving service delivery when traditional top-down supervision is ineffective.Health Monitoring&Evaluation,Housing&Human Habitats,Health Economics&Finance,Disease Control&Prevention,Health Systems Development&Reform

Issues in Forest Restoration: Navigating the Motives and Mandates of Multiparty Monitoring

In this paper, we discuss what we learned about multiparty monitoring for collaborative, community-based forest restoration projects, after providing technical assistance and training to more than 50 New Mexico community groups between 2002 and 2007. These community groups were all recipients of Collaborative Forest Restoration Program (CFRP) cost-share grants. The grants require multi-stakeholder monitoring and assessment of project effectiveness in terms of ecological change and effects on management skills. Because all CFRP grantees are required to monitor their projects, this program provided a unique opportunity for assessing community-based, multiparty monitoring of forest restoration projects. Given four years experience providing monitoring assistance to CFRP grantees, we explore the following questions:What are the goals of multiparty monitoring? How does it work? What are reasonable expectations of multiparty monitoring? What are the best ways to help community groups achieve these expectations? Finally, how should a community prepare for the implementation of multiparty monitoring in a community-based forestry program

Terminal restriction fragment length polymorphism is an “old school” reliable technique for swift microbial community screening in anaerobic digestion

The microbial community in anaerobic digestion has been analysed through microbial fingerprinting techniques, such as terminal restriction fragment length polymorphism (TRFLP), for decades. In the last decade, high-throughput 16S rRNA gene amplicon sequencing has replaced these techniques, but the time-consuming and complex nature of high-throughput techniques is a potential bottleneck for full-scale anaerobic digestion application, when monitoring community dynamics. Here, the bacterial and archaeal TRFLP profiles were compared with 16S rRNA gene amplicon profiles (Illumina platform) of 25 full-scale anaerobic digestion plants. The α-diversity analysis revealed a higher richness based on Illumina data, compared with the TRFLP data. This coincided with a clear difference in community organisation, Pareto distribution, and co-occurrence network statistics, i.e., betweenness centrality and normalised degree. The β-diversity analysis showed a similar clustering profile for the Illumina, bacterial TRFLP and archaeal TRFLP data, based on different distance measures and independent of phylogenetic identification, with pH and temperature as the two key operational parameters determining microbial community composition. The combined knowledge of temporal dynamics and projected clustering in the β-diversity profile, based on the TRFLP data, distinctly showed that TRFLP is a reliable technique for swift microbial community dynamics screening in full-scale anaerobic digestion plants

Community sewage sensors towards evaluation of drug use trends: detection of cocaine in wastewater with DNA-directed immobilization aptamer sensors

Illicit drug use has a global concern and effective monitoring and interventions are highly required to combat drug abuse. Wastewater-based epidemiology (WBE) is an innovative and cost-effective approach to evaluate community-wide drug use trends, compared to traditional population surveys. Here we report for the first time, a novel quantitative community sewage sensor (namely DNA-directed immobilization of aptamer sensors, DDIAS) for rapid and cost-effective estimation of cocaine use trends via WBE. Thiolated single-stranded DNA (ssDNA) probe was hybridized with aptamer ssDNA in solution, followed by co-immobilization with 6-mercapto-hexane onto the gold electrodes to control the surface density to effectively bind with cocaine. DDIAS was optimized to detect cocaine at as low as 10 nM with a dynamic range from 10 nM to 5 μM, which were further employed for the quantification of cocaine in wastewater samples collected from a wastewater treatment plant in seven consecutive days. The concentration pattern of the sampling week is comparable with that from mass spectrometry. Our results demonstrate that the developed DDIAS can be used as community sewage sensors for rapid and cost-effective evaluation of drug use trends, and potentially implemented as a powerful tool for on-site and real-time monitoring of wastewater by un-skilled personnel

The Social World of Content Abusers in Community Question Answering

Community-based question answering platforms can be rich sources of information on a variety of specialized topics, from finance to cooking. The usefulness of such platforms depends heavily on user contributions (questions and answers), but also on respecting the community rules. As a crowd-sourced service, such platforms rely on their users for monitoring and flagging content that violates community rules. Common wisdom is to eliminate the users who receive many flags. Our analysis of a year of traces from a mature Q&A site shows that the number of flags does not tell the full story: on one hand, users with many flags may still contribute positively to the community. On the other hand, users who never get flagged are found to violate community rules and get their accounts suspended. This analysis, however, also shows that abusive users are betrayed by their network properties: we find strong evidence of homophilous behavior and use this finding to detect abusive users who go under the community radar. Based on our empirical observations, we build a classifier that is able to detect abusive users with an accuracy as high as 83%.Comment: Published in the proceedings of the 24th International World Wide Web Conference (WWW 2015