David Schwartz

Education: BA: University of Michigan, MSW: University of Pennsylvania, School of Social Policy and Practice
Service Expertise: Evaluation, assessment, data mining, predictive analytics, health and human services administration, nonprofit management, behavioral health, child welfare, corrections, and case management

Publications

• Schwartz, D. R., Kaufman, A. B., & Schwartz, I. M. (2004). Computational intelligence techniques for risk assessment and decision support. Children and Youth Services Review, 26, 1081-1095
• Jones, P. R., Schwartz, D. R., Schwartz, I. M., Obradovic, Z., & Jupin, J. (2006). Risk classification and juvenile dispositions: What is the state of the art? Temple Law Review, 79, 2, 461-498
• Schwartz, I. M., Jones, P. R., Schwartz, D. R., & Obradovic, Z. Improving Social Work Through the Use of Technology and Research, Child Welfare Research, edited by Duncan Lindsey and Aron Shlonsky. (2008). Oxford University Press: New York
• Schwartz, I. M., Jones, P. R., & Schwartz, D. R. (2010). Juvenile probation and youth corrections trends in the United States and the implications for social work. Korean Journal of Correctional Social Welfare, 1, 151-169

Selected Presentations

• Risk Assessment Models and Empirical Validity: Making Life and Death Decisions, Panel Discussion, Conference Faculty/Panel Presenter. One Child Many Hands Conference, a Multi-Disciplinary Conference on Child Welfare, University of Pennsylvania (2009)
• Risk Classification in Juvenile Justice and Child Welfare: The Dangers of Overconfidence. Paper presented at the annual meeting of the American Society of Criminology (with Peter R. Jones and Ira M. Schwartz) (2008)
• The International Society for the Prevention of Child Abuse and Neglect, as accepted presenter and invited session chair (Berlin, Germany, Warsaw, Poland, and Lisbon, Portugal)
• Temple University Medical School, Grand Rounds (2008)
• National Symposium on Child Sexual Abuse, Chair and Presenter (2008)
• IBM master class presentation, Minneapolis, Minnesota (2006)
• American Public Human Services Association IT Solutions Management (APHSA-ISM) Conference, Minneapolis, Minnesota (2006)
• US Department of Education National Transition to Teaching Conference (2008)

David Schwartz, Senior Consultant, has over 15 years of domestic and international experience working in the nonprofit and government health and human services sectors, with expertise in the application of data mining and predictive analytic approaches to enhance assessment, evaluation, and management decision-making.

Prior to joining TCC Group, Schwartz led a private data analytics consulting firm that was partnered with IBM for over 10 years. Together with IBM, he developed the CPAT (Child Protection Assessment Tool) built on SPSS, a solution that is currently sold globally. Schwartz managed several cutting edge predictive modeling, assessment, and evaluation projects focused on recognizing hidden patterns in data and making accurate predictions about client and staff outcomes in child welfare, juvenile justice, education, and healthcare settings. He is credited with being one of the first researchers to apply advanced data mining and analytics technologies in the social welfare and juvenile corrections fields, and has been leading the development of a predictive analytics-based assessment system for the New York State Office of Children and Family Services.

He has published several articles in scholarly journals on data mining and analytics applications in human services and corrections, and has been a presenter at many national and international conferences including the American Public Human Services Association IT Solutions Management (APHSA-ISM), the International Society for the Prevention of Child Abuse and Neglect (ISPCAN), and the United States Department of Education National Transition to Teaching conferences.

Schwartz received his Master's Degree in Social Work from the University of Pennsylvania School of Social Policy and Practice, where he focused on nonprofit and government administration, and a Bachelor of Arts degree from the University of Michigan, Ann Arbor.

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