Job Description

Date Posted: 08/13/2024
Req ID: 38525
Faculty/Division: Faculty of Arts & Science
Department: Munk School of Global Affairs & Public Policy
Campus: St. George (Downtown Toronto)Description:Course number and title: PPG2010H1-S - Panel Data Methods for Policy AnalysisCourse description: The course provides a rigorous introduction to statistical methods for the analysis of panel data with specific application to the major Canadian longitudinal data sets. This course is offered in collaboration with the Toronto Research Data Centre (RDC). The RDC provides secure access to Canada\'s preeminent panel data sets for public policy analysis as well as variety of other Statistics Canada data. The course will take place within RDC providing students hands-on experience with these important sources of information on public issues. The RDC offers both lecture space and a computer lab for tutorials. While the specific goal of this course is to introduce students to empirical methods for the analysis of longitudinal data, an important by product is their exposure to the RDC data. Instruction includes a combination of lectures and break-out groups. In break-out groups, students will complete series of problem sets that provide an introduction to the RDC panel data sets and practice in their analysis. The statistical methods reviewed will be drawn from a variety of disciplines to promote the inter-disciplinary study of public policy. Certain topics of particular relevance to the RDC panel data (e.g., cluster sampling, bootstrapping) will also be covered. The course is intended for a) MPP students from the Munk School of Global Affair & Public Policy; and b) students from departments, schools and faculties where small numbers preclude a similar course being offered, or that desire instruction in the use of data housed in the Toronto Region Statistics Canada RDC.Estimated course enrolment: 20 studentsEstimated TA support: N/AClass schedule: Tuesday, 1pm-4pm*The delivery method for this course is expected to be in-person. Please note that, in keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department.Sessional dates of appointment: January 1, 2025 - April 30, 2025Salary: Sessional Lecturer I - $9,457.90; Sessional Lecturer I, Long Term - $9,930.79; Sessional Lecturer II - $10,121.77; Sessional Lecturer II (Long Term) - $10,326.62; Sessional Lecturer III - $10,362.76; Sessional Lecturers III (Long Term) - $10,570.02Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.Minimum qualifications: Ph.D. with a specialization in statistical measurement and evaluation required. Extensive knowledge and background in statistical/quantitative methods in social sciences methodology required. Experience and knowledge of applying panel data methods in public policy required.Preferred qualifications: Experience in teaching in a multidisciplinary context is an asset.Description of duties: Teaching at the graduate level, developing the syllabus, teaching three-hour classes, providing weekly office hours for academic counseling of students, preparing and delivering course material, preparing and delivering assignments and tests, marking student work and submitting grades.Application procedure: All individuals interested in this position must submit an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at to .Closing Date: 09/04/2024, 11:59PM EDT
**This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.Diversity StatementThe University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .Accessibility StatementThe University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.If you require any accommodations at any point during the application and hiring process, please contact .

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