This research builds off previous research conducted in 2009 which included a survey of healthcare professionals assessing their organization’s levels of supply chain maturity (SCM) and data standard readiness (DSR) from 1 to 5 [Smith, 2011]. With the survey data, Smith developed a 0-1 quadratic program to conserve the maximum amount of survey data while removing non-responses. This research uses the quadratic program as well as other machine learning algorithms and analysis methods to investigate what factors contribute to an organization’s SCM and DSR levels the most. No specific factors were found; however, different levels of prediction accuracy were achieved across the five different subsets and algorithms. he best accuracy prediction SCM model was linear discriminant analysis on the Reduced subset at 50.84% while the highest prediction accuracy for DSR was stepwise regression on the PCA subset at 45.00%. Most misclassifications found in this study were minimal.

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There are a number of processes at play within the child welfare and healthcare systems that have the potential to be othering and stigmatizing for people (Pollack, 2010; Snowden, 2003; van Ryn, 2003). These stigmatizing practices are compounded and made all the more complex when the child welfare and healthcare systems operate simultaneously in people’s lives. Despite this, there appears to be limited research about the interplay between the child welfare and healthcare systems in producing stigma, in spite of how closely and recurrently these structures interact and work with one another. This study investigates the interaction of stigmatizing processes and practices at play between Brant Family and Children’s Services and the Brantford General Hospital. Specifically, it explores, from the viewpoint of child welfare staff, the experiences of new mothers receiving perinatal care at this hospital, who are also clients of Brant Family and Children’s Services. This study employs a critical social work framework, coupled with elements of intersectionality and a social justice lens. An eclectic methodological approach was used, integrating tenets of critical and interpretive social science research, and a narrative approach. Four semi-structured, face-to-face interviews were conducted with child protection staff employed at Brant Family and Children’s Services, with six major themes identified, including: the exclusion of mothers within the hospital setting, issues with Brant FACS’ birth alert documentation, and the paradoxical ways in which stigma can operate in the lives of new mothers receiving care at this hospital. These themes are explored and future directions and recommendations are discussed. Suggestions are also made in terms of how these organizations can begin to address the practices at play between both systems that unfortunately, appear to harmfully impact on mothers who are involved with Brant Family and Children’s Services, and receiving perinatal care at the Brantford General Hospital. / Thesis / Master of Social Work (MSW)

This thesis intends to explore the idea of transforming unused lifeless space which is surplus and old into a holistic mental healthcare space. The world has never been the same since the pandemic and one of the major trends that have been seen post-pandemic is the work from home culture, Major companies have chosen this model and not planning to turn back, this has led to the decline in use of office spaces. Most of the office buildings now are seeing a sharp decline in occupancy, this has led to question the usage of such unused workspaces. There have been projects in the recent years where such conversions have taken place such as the 1633 Broadway by SOM. The design takes an intentional approach of carving out a monolith mass which had more than 50-feet of depth strategically to create floor plates appropriate to a residential use case. This also allowed the transformed building to access natural light. Mental health can play a crucial role for the coming generations and the overall health of the city. It is time that we look for spaces which can be converted to facilities which not only provide traditional mental health clinics but also green public spaces which contribute in lowering the mental stress. To cater to mental healthcare on a larger scale it important to have access to green spaces, a space where a person can go and have lunch, a space where a person can enjoy their walks or just take a break. Even though New York has green spaces such as Central Park, Bryant Park, Washington Square park, high line and much more it is not enough for the everyday local to access them based on their location of work and stay. New York has a couple of mini parks sprinkled across the city such as Paley Park, Green-acre Park. These parks are a breath of fresh air for people living nearby as they have their own private space in this chaotic city. Being mindful of such strategies can prove useful while designing the building for mental health care not just for the people using the building but also for the people of New York living in and around the building. Some neighborhoods in Manhattan have ample of green spaces as well as spaces where they have good views from their apartments while some neighborhoods lack access to such spaces. In order to be efficient and right in choosing the site, it is important to map such factors which will guide the site selection process. It has been observed that more expensive neighborhoods such as Hudson Yards, Tribe-ca, So-Ho already do have access to green spaces and places which contribute to mental well being of a person. People staying near the Central park have access to such a large green space and hence those areas were not considered while selecting the site. The intervention makes more sense if it happens on a site which falls on the areas which are deserted of green spaces. Hence, Midtown-West was looked at after studying various neighborhoods in and around Manhattan. The design follows an adaptive reuse approach where the heritage building is sensitvely altered to create spaces which contribute towards the program of the building. Voids are carefully sculpted out of the existing facade while keeping the essence of the building intact.The proposed design intends to make the visitor aware about themselves through architectural features that engage the five human senses. Variations and randomness found in nature is also mimicked in the space which generates curiosity for the person experiencing the same. The orderly and monotonous spaces are avoided by adding natural features and elements such as plants and shrubs. Uses of natural materials such as wood and stone create a sense of warmth and do contribute in create an atmosphere where a person can connect with themselves. Natural light is invited into the space through large openings and cut outs in the slab. The proposed structure is set in from the primary façade to create an in-between space which acts like a buffer space between the external world and the structure. The façade acts like a horizon which a person can use to orient themselves with respect to the building. All these design gestures contribute towards a person's mental awareness and thus making a person to be in the moment. Being aware of the impact that built spaces can have over a person's mental health, the design takes an approach which focuses on how a person feels in a space. The architecture and the user do have a conversation through light, materials, wind and sound to achieve a space which positively impacts a person's mental health. / Master of Architecture / Architecture is capable of and responsible for providing opportunities which positively affect our mental health, and this thesis explores how this can be achieved within the constraints of the existing infrastructure in the city. Since the Covid-19 pandemic, apart from increasing vacant office spaces, cases of mental health issues have been on the rise. In a recent survey involving people living across all 5 boroughs, it was found that 2 out of 3 people experienced some form of mental health issue during the past year. There has been an increase in the intake of medication such as Antidepressants, Anti-anxiety medications, Anti-insomnia medications. More than 50% believe that they are not receiving enough mental health care and the biggest barriers to access treatment were finding clinics, cost of treatment, time-consuming. We spend around 86% of our lives indoors and the built environment around us has the ability to affect our mood, understanding this the thesis approaches designing spaces for mental healthcare with a focus on making people aware of themselves and their surroundings by stimulating the five human senses. This approach helps the person to be in the present and be more conscious of their feelings and thoughts, patients visiting the space experience touch, sound, sight, taste and smell through various architectural gestures in the building. The journey of the patient focuses on a person feeling safe, comfortable and yet allowing them to interact with the community through social spaces. The intent of the thesis is to have a positive impact on a person's mental health, and while doing that also be conscious of the existing footprint of the building. Being aware of the impact that built spaces can have over a person's mental health, the design takes an approach which focuses on how a person feels in a space. The architecture and the user do have a conversation through light, materials, wind and sound to achieve a space which positively impacts a person's mental health.

A recent focus on understanding emotions in organizations has resulted in increased attention to the role of Emotional Intelligence (EI). Emotional Intelligence (EI) is a type of intelligence that helps individuals to perceive, assimilate, understand, and manage emotions (Mayer & Salovey, 1997). The aim of this study is to understand the role of EI on individual attitudinal and performance outcomes. Specifically, this paper argues that EI may be an important determinant of employee job satisfaction, turnover intention, and performance. Further, these effects are expected to be most pronounced in job functions with higher emotional requirements. Data collected from 278 law enforcement and healthcare employees provide no support for these propositions. These findings, their implications, and potential future studies are discussed. / Ph. D.

This dissertation focuses on taking a human-centric approach to utilize human intelligence best to inform machine learning models. More specifically, the complex relationship between the changes in movement functionality to movement quality. I designed and evaluated the Tacit Computable Empowering methodology across two domains: in-home rehabilitation and clinical assessment. My methodology has three main objectives: first, to transform tacit expert knowledge into explicit knowledge. Second, to transform explicit knowledge into a computable framework that machine learning can understand and replicate. Third, synergize human intelligence with computational machine learning to empower, not replace, the human. Finally, my methodology uses assistive interfaces to allow clinicians and machine learning models to draw parallels between movement functionality and movement quality. The results from my dissertation inform researchers and clinicians on how best to create a standardized framework to capture and assess human movement data for embodied learning scenarios / Doctor of Philosophy / Artificial intelligence (AI) is increasingly considered an important computational design material in the development of innovative products, systems, and services. Recent research emphasizes the potential for computational designers to create new tools, methods, and design processes to more adeptly handle AI and machine learning as fundamental but not exclusive materials within the design process. This talk adopts a human-centric approach to utilize human intelligence to inform machine learning models within a healthcare context. I describe the novel tacit computable empowering (TCE) methodology used and evaluated across two healthcare domains: in-home rehabilitation and clinic-based assessment. The TCE methodology comprises three main objectives: 1) to transform tacit expert knowledge into explicit knowledge; 2) to transform explicit knowledge into a computable framework that machine learning can understand and replicate and 3) to synergize human intelligence with computational machine learning to empower (and not replace) the human. This methodology uses assistive interfaces to allow clinicians and machine learning models to draw parallels between movement functionality and movement quality. Outcomes from this work inform researchers and clinicians as to how to best create a standardized framework to capture and assess human movement data for embodied learning scenarios.