SWAN
Social Work AI Network
Our Vision
The Social Work AI Network (SWAN) is a professional society uniting social work scholars who use, study, and interrogate AI to advance equity, ethics, and real-world impact. The purpose of SWAN is to (1) encourage rigorous, ethically grounded research and practice in integrating AI and data science with social work; and (2) foster collaboration among social work scholars, educators, and practitioners, as well as with our interdisciplinary collaborators interested in developing and/or applying artificial intelligence (AI) in social work.
Our Vision
Support the professional development of faculty, researchers, and graduate students involved in AI-related projects in social work;
Enhance the professional and academic competency of social workers in quantitative and computational methodologies, as well as their ability to collaborate with methodological experts;
Disseminate knowledge and practice skills in responsible and ethical AI research, including promoting community-based participatory data science, addressing data biases, AI ethics, and supporting real-world implementations, especially in serving marginalized or vulnerable individuals, families, and communities;
Establish an international network that promotes interdisciplinary collaboration and fosters innovation to serve diverse populations ethically and effectively.
Member Services
Research
Collaborate on grant proposals and manuscript development.
Mentoring
Get guidance on career growth and professional development.
Learning
Access research talks, workshops, webinars, and conferences.
Presenting
Co-develop abstracts and co-present at major conferences (e.g., SSWR, CSWE).
Networking
Build connections through member events and professional communities.