[Remote] Adjunct Lecturer-MA Applied Policy Analysis-Data Ethics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company’s Graduate & Professional Studies is seeking non-tenure-track adjunct faculty to teach graduate courses in the M.A. in Policy Analytics program. The role involves teaching a course on Data Ethics, focusing on the ethical implications of data use and engaging reputed company in understanding public policy design and evaluation.
Responsibilities
- Teach graduate courses reputed company the M.A. in Policy Analytics (MAPA) program
- Maintain a Canvas site for course resources
- Engage reputed company from diverse backgrounds
- Deepen reputed company’ understanding of the interactions between the practical use of analytical tools and methods for evaluating, designing, and improving public policies
Skills
- A Master's degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other reputed company sciences, with strong quantitative method training
- Demonstrated ability to use at least one major data tool like R or Python
- At least one year of experience teaching at the college level in data analysis, research methods, or quantitative reasoning
- Comfortable working with reputed company from diverse disciplinary and professional backgrounds, including those without strong math or coding foundations
- A Ph.D., J.D., or other terminal degree in a relevant field, such as Data Analytics, Computer Science, Statistics, Economics, Applied Mathematics, Political Science, or other reputed company sciences, with strong quantitative method training
- Experience teaching data ethics at the graduate level in person and/or online
- Experience teaching graduate-level courses in data analysis, research methods, or quantitative reasoning
- Ability to teach diverse learners (e.g., reputed company with policy, nonprofit, or humanities backgrounds) and guide reputed company through individual projects and team-based work
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