Browsing by Author "Hill, James"

Now showing 1 - 4 of 4
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    Developing Substance Use Programming for Person-Oriented Recovery and Treatment (SUPPORT): protocol for a pilot randomized controlled trial
    (BMC, 2017-12-15) Watson, Dennis P.; Ray, Bradley; Robison, Lisa; Xu, Huiping; Edwards, Rhiannon; Salyers, Michelle P.; Hill, James; Shue, Sarah; Social and Behavioral Sciences, School of Public Health
    Background There is a lack of evidence-based substance use disorder treatment and services targeting returning inmates. Substance Use Programming for Person-Oriented Recovery and Treatment (SUPPORT) is a community-driven, recovery-oriented approach to substance abuse care which has the potential to address this service gap. SUPPORT is modeled after Indiana’s Access to Recovery program, which was closed due to lack of federal support despite positive improvements in clients’ recovery outcomes. SUPPORT builds on noted limitations of Indiana's Access to Recovery program. The ultimate goal of this project is to establish SUPPORT as an effective and scalable recovery-oriented system of care. A necessary step we must take before launching a large clinical trial is pilot testing the SUPPORT intervention. Methods The pilot will take place at Public Advocates in Community Re-Entry (PACE), nonprofit serving individuals with felony convictions who are located in Marion County, Indiana (Indianapolis). The pilot will follow a basic parallel randomized design to compare clients receiving SUPPORT with clients receiving standard services. A total of 80 clients within 3 months of prison release will be recruited to participate and randomly assigned to one of the two intervention arms. Quantitative measures will be collected at multiple time points to understand SUPPORT’s impact on recovery capital and outcomes. We will also collect qualitative data from SUPPORT clients to better understand their program and post-discharge experiences. Discussion Successful completion of this pilot will prepare us to conduct a multi-site clinical trial. The ultimate goal of this future work is to develop an evidence-based and scalable approach to treating substance use disorder among persons returning to society after incarceration. Trial registration ClinicalTrials.gov (Clinical Trials ID: NCT03132753 and Protocol Number: 1511731907). Registered 28 April 2017.
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    Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force
    (2023-08) Pandey, Ritika; Mohler, George; Hill, James; Hasan, Mohammad Al; Mukhopadhyay, Snehasis
    Police use of force has become a topic of significant concern, particularly given the disparate impact on communities of color. Research has shown that police officer involved shootings, misconduct and excessive use of force complaints exhibit network effects, where officers are at greater risk of being involved in these incidents when they socialize with officers who have a history of use of force and misconduct. Given that use of force and misconduct behavior appear to be transmissible across police networks, we are attempting to address if police networks can be altered to reduce use of force and misconduct events in a limited scope. In this work, we analyze a novel dataset from the Indianapolis Metropolitan Police Department on officer field training, subsequent use of force, and the role of network effects from field training officers. We construct a network survival model for analyzing time-to-event of use of force incidents involving new police trainees. The model includes network effects of the diffusion of risk from field training officers (FTOs) to trainees. We then introduce a network rewiring algorithm to maximize the expected time to use of force events upon completion of field training. We study several versions of the algorithm, including constraints that encourage demographic diversity of FTOs. The results show that FTO use of force history is the best predictor of trainee's time to use of force in the survival model and rewiring the network can increase the expected time (in days) of a recruit's first use of force incident by 8%. We then discuss the potential benefits and challenges associated with implementing such an algorithm in practice.
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    A Security Related and Evidence-Based Holistic Ranking and Composition Framework for Distributed Services
    (2021-05) Chowdhury, Nahida Sultana; Raje, Rajeev R.; Tuceryan, Mihran; Hill, James; Xia, Yuni
    The number of smart mobile devices has grown at a significant rate in recent years. This growth has resulted in an exponential number of publicly available mobile Apps. To help the selection of suitable Apps, from various offered choices, the App distribution platforms generally rank/recommend Apps based on average star ratings, the number of installs, and associated reviews ― all the external factors of an App. However, these ranking schemes typically tend to ignore critical internal factors (e.g., bugs, security vulnerabilities, and data leaks) of the Apps. The AppStores need to incorporate a holistic methodology that includes internal and external factors to assign a level of trust to Apps. The inclusion of the internal factors will describe associated potential security risks. This issue is even more crucial with newly available Apps, for which either user reviews are sparse, or the number of installs is still insignificant. In such a scenario, users may fail to estimate the potential risks associated with installing Apps that exist in an AppStore. This dissertation proposes a security-related and evidence-based ranking framework, called SERS (Security-related and Evidence-based Ranking Scheme) to compare similar Apps. The trust associated with an App is calculated using both internal and external factors (i.e., security flaws and user reviews) following an evidence-based approach and applying subjective logic principles. The SERS is formalized and further enhanced in the second part of this dissertation, resulting in its enhanced version, called as E-SERS (Enhanced SERS). These enhancements include an ability to integrate any number of sources that can generate evidence for an App and consider the temporal aspect and reputation of evidence sources. Both SERS and E-SERS are evaluated using publicly accessible Apps from the Google PlayStore and the rankings generated by them are compared with prevalent ranking techniques such as the average star ratings and the Google PlayStore Rankings. The experimental results indicate that E-SERS provides a comprehensive and holistic view of an App when compared with prevalent alternatives. E-SERS is also successful in identifying malicious Apps where other ranking schemes failed to address such vulnerabilities. In the third part of this dissertation, the E-SERS framework is used to propose a trust-aware composition model at two different granularities. This model uses the trust score computed by E-SERS, along with the probability of an App belonging to the malicious category, as the desired attributes for selecting a composition as the two granularities. Finally, the trust-aware composition model is evaluated with the average star rating parameter and the trust score. A holistic approach, as proposed by E-SERS, to computer a trust score will benefit all kinds of Apps including newly published Apps that follow proper security measures but initially struggle in the AppStore rankings due to a lack of a large number of reviews and ratings. Hence, E-SERS will be helpful both to the developers and users. In addition, the composition model that uses such a holistic trust score will enable system integrators to create trust-aware distributed systems for their specific needs.
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    User-Centric Interactive Collaboration Software (UCICS)
    (Office of the Vice Chancellor for Research, 2015-04-17) Tai, Naeem; Sergio, Chris; Cook, Kenny; Rimawi, Kareem; Hill, James; Rogers, Chris; Nicholas, Clayton
    The problem of collaboration exists among businesses across all sectors. Teams often face collaboration challenges as a result of lack of communication, lack of appropriate collaboration tools that meet the needs, or over complexity of using collaboration tools. We attempt to solve this problem by User-Centric Interactive Collaboration Software (UCICS). The purpose of UCICS is to develop a framework that connects currently available collaboration tools, while providing a customizable user interface for viewing the data stored in those tools. Through interviews and discussions with our customer group at the Herman B Wells Center for Pediatric Research, we have determined that this need exists across the labs in in the Herman B Wells Center and IU School of Medicine. As a proof of concept prototype, we are developing a system that will allow researchers to share their mice inventory with other labs with no additional work than they are already doing to manage their mice inventory. This system has potential to save great amount of time and money for the researchers. Furthermore we plan to extend UCICS to allow researchers from different labs to collaborate and share common experiment data. Moving forward we envision USICS to be able to solve collaboration problems across all disciplines by integrating variety of tools into the framework.