Data science for social work management Tools and
- Slides: 16
Data science for social work management: Tools and skills from art and science Oscar E. Cariceo, MSW, NSWM Chile Chapter Murali D. Nair, Ph. D, Clinical Professor, USC Suzanne Dworak-Peck School of Social Work Network of Social Work Management National Conference. “The Business of Social Work: Mission, Morals, Morale and Money” Fordham University, New York. June 15, 2017
Data science for social work management � Data Science is a research tool that allows the exploration and quantitative analysis of a wide range of available data. � Both structured and unstructured, in order to develop understanding, extract knowledge, and formulate actionable results.
Keys elements for social work management � Decision making actions. � Data science is “highly iterative and nonlinear process, better reflected by a series of epicycles” (Peng & Matsui, 2016, p. 4). � Information is learned in each step. Then, it is possible to refine, refresh the action that was just performed or proceed to the next step.
Data science for social work management � Connection among fields � Knowledge and applications � Data exploration � Data analysis.
Technical steps for data science � Finding data � Acquiring those data � Cleaning and transforming them � Understanding general relationships in data � Delivering value from data.
Data science for social work management � Time sensitive and scientific approach. � Prescriptive interventions. .
Keys elements for social work management � Knowledge � Art of communication � Intuition to decide about critical social conditions
Processes for social work management and data science �. � Match expectations � Data availability � Develop expectations � Collect data.
Machine learning techniques for data science � Its goal is to “teach” computers through “examples”. � Predict the future. � “Train” a data set � Crisis Text Line project, emails.
Machine learning techniques for social research � Example, � how epidemiology. machine learning techniques can improve social interventions on complex social issues?
Big data and evidence-based macro practice � Information � Huge is produced by individuals. amount of personal and collective data. � Opportunity problems. to address complex social
Big data and evidence-based macro practice � Social media and the usage of the Internet. � Improving � Reach decision-making permanent social change.
Ethical dilemmas and social work challenges on data science � Privacy � Access � Open Data movement � Closed to shared
Conclusions � Data an asset for human services agencies. � Real-time can resources. � Crowdsourcing.
- Data science and social work
- Natural science and social science similarities
- Social work relationship with other social sciences
- My favorite subject science
- Global agenda for social work and social development
- Natural vs social science
- Remedial model
- Explain the components of social case work
- Social welfare vs social work
- Scope of social action
- Social work: an empowering profession 9th edition chapter 1
- Unstructured to structured data conversion
- Social thinking and social influence in psychology
- Social thinking social influence social relations
- Time management in social work
- Section 4 review physical science
- Kontinuitetshantering