scholarly journals The Future of American Families: Implications for Social Work Research, Practice, and Education

10.18060/87 ◽  
2005 ◽  
Vol 6 (1) ◽  
pp. 145-155 ◽  
Author(s):  
Karen Kayser

In this article I briefly describe the changing face of contemporary families in America, and in particular focus on four areas of social work practice in which a family-centered approach is needed. I then present future suggestions for social work research, practice, and education. This is not meant to be an exhaustive review of the literature nor is it an in-depth analysis of one particular area of families.

In contrast to other helping professions, social work does not currently define itself as scientific, or as a scientific discipline. Starting with the work of John Brekke, this volume considers what a science of social work might look like. These ideas have developed from an extended collaboration among the chapter authors and others. Aspects of the framework described here include approaches to ontology and epistemology (scientific and critical realism); science and the the identity of social work; the context of Grand Challenges for social work; the place of values in a science of social work; the importance of theory in social work science; and how ideas from the philosophy of mind can also inform what a social work science should be. The volume then describes the application of social work science to social work practice, managing the tensions between rigor and relevance, and ways to educate future scholars. The concluding chapter suggests some ways in which this framework might affect social work practice and education in the future.


2021 ◽  
pp. 147332502110247
Author(s):  
Mari D Herland

Social workers often experience higher levels of burnout compared with other healthcare professionals. The capacity to manage one’s own emotional reactions efficiently, frequently in complex care settings, is central to the role of social workers. This article highlights the complexity of emotions in social work research and practice by exploring the perspective of emotional intelligence. The article is both theoretical and empirical, based on reflections from a qualitative longitudinal study interviewing fathers with behavioural and criminal backgrounds, all in their 40 s. The analysis contains an exploration of the researcher position that illuminates the reflective, emotional aspects that took place within this interview process. Three overall themes emerged – first: Recognising emotional complexity; second: Reflecting on emotional themes; and third: Exploring my own prejudices and preconceptions. The findings apply to both theoretical and practical social work, addressing the need to understand emotions as a central part of critical reflection and reflexivity. The argument is that emotions have the potential to expand awareness of one’s own preconceptions, related to normative societal views. This form of analytical awareness entails identifying and paying attention to one’s own, sometimes embodied, emotional triggers.


2020 ◽  
pp. 147332502097330
Author(s):  
James J Lucas

Life during the COVID-19 pandemic is uncertain, intense, and traumatic. At the same time, there is room for hope, inspiration, and meaning for social workers through mindfully connecting with energy-information flow as it influences our Safety, Emotions, Loss, and Future – S.E.L.F. As adapted from the Sanctuary Model®, this S.E.L.F connection is an opportunity to discover within ourselves our unwavering core that is grounded, present, and connected and sustain an ethical and compassionate approach to social work practice, education, and research during this time of pandemic. The aim in this reflective essay is to provide an example of S.E.L.F. connection from the perspective of a Buddhist and social work academic at an Australian university during the COVID-19 pandemic. While beneficial, ongoing S.E.L.F. connections are necessary for social workers if we are to stay mindful of energy-information flow and steer this flow towards the creation of a story of relationship, compassion, and connection into the future.


2020 ◽  
Author(s):  
Annahita Ball

Abstract The persistent and systemic inequities within the U.S. public education system have grave implications for children’s and youth’s outcomes, yet these inequities go far beyond academics. Marginalized and vulnerable students experience injustices across the educational system, including disproportionality in school discipline, unequal access to advanced courses, and poor conditions for learning. Social work has a solid history of addressing issues that intersect across families, schools, and communities, but the profession has had little engagement in the recent educational justice movement. As educational scholars advance a movement to address educational inequities, it will be increasingly important for social work researchers to provide valuable insight into the multiple components that make up youth development and support positive well-being for all individuals within a democratic society. This article encourages social work researchers to extend lines of inquiry that investigate educational justice issues by situating social work practice and research within educational justice and suggesting an agenda for future social work research that will advance equity for all students.


2018 ◽  
Vol 11 (3) ◽  
pp. 205979911881439 ◽  
Author(s):  
Oscar Cariceo ◽  
Murali Nair ◽  
Jay Lytton

Data science is merging of several techniques that include statistics, computer programming, hacking skills, and a solid expertise in specific fields, among others. This approach represents opportunities for social work research and intervention. Thus, practitioners can take advantage of data science methods and reach new standards for quality performances at different practice levels. This article addresses key terms of data science as a new set of methodologies, tools, and technologies, and discusses machine learning techniques in order to identify new skills and methodologies to support social work interventions and evidence-based practice. The challenge related to data sciences application on social work practice is the shift on the focus of interventions. Data science supports data-driven decisions to predict social issues, rather than providing an understanding of reasons for social problems. This can be both a limitation and an opportunity depending on context and needs of users and professionals.


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