Intelligently consider the social, political, and ethical considerations of using data analytics.Recognize situations where it’s possible to collect data to inform organizational processes. Describe how public agencies harness large-scale data to inform policy design, increase stakeholder engagement, and improve service delivery.Learning ObjectivesĪt the conclusion of this course, each student will be able to: Students will read several case studies that explore the use of data in organizations, will engage in discussions about socio-economic policy considerations, and write policy guidance frameworks on best practices in evidence-based management, open data, and privacy. Students will engage critical dilemmas of data privacy, data protection, predictive analytics, personalized service delivery and resource provision, algorithmic regulation, and large-scale data analytics for administrative efficiencies and resource management optimization, among others. Students will also explore the social, political, and ethical considerations associated with building and managing data analytics programs in the public sphere. The course is built around a quantified-self experiment where you will use life-logging tools and a journaling system to learn about managing information overload and building goal-oriented, evidence-based routines. One of the key course take-aways is that data can make your organization more effective, but data itself is not sufficient without strong management frameworks. Students will operate as their own laboratory through a data journaling exercise, and devise strategies for incorporating data into management practices of public and nonprofit organizations. This course will explore the practice of using data to improve organizational performance, including techniques for data collection, analysis, and behavior change. Computational tools capable of making productive use of big data have proliferated in recent years, drastically decreasing the barriers to entry for interested parties. Public agencies are increasingly interested in unlocking the potential of large-scale data to improve service delivery and inform policy efforts. Course Description, Course Goal and Course Learning Objectives:
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