eAIR Newsletter Reformat

Jul 28, 2023, 00:00 AM

Title : Adjunct Instructor Needed - Data Ethics

Salary range low : 3873

Salary range high : 4683

Application due date : 2023-07-28

Job start date : 2023-08-31

Reports in office : School of BSTM

Reports to : Dean of the Business, Science, Technology and Mathematics

Number of staff reports : 0

Remote work :

City : Online or Gardner

State : MA

Institution : Mount Wachusett Community College

Meta Title : Adjunct Instructor Needed - Data Ethics

Is imported : Yes

Exclude salary : Yes

Please contact the Department Chair, Tina Wilson (t_wilson@mwcc.mass.edu) or Dean Veronica Guay (v_guay@mwcc.mass.edu) before submitting an online application. 

https://mwcc.interviewexchange.com/jobofferdetails.jsp?JOBID=114509

Since 1963, Mount Wachusett Community College has built a tradition of providing innovative undergraduate education, workforce development, personal enrichment, and community service to North Central Massachusetts and beyond. MWCC is located in Gardner, MA, with satellite campuses in Fitchburg, Leominster and Devens. An award-winning, national leader in the area of renewable energy, MWCC is also nationally recognized for its veterans' services, civic engagement and K-12 partnerships.

We hope you will consider applying for one of our open positions, and discover all that Mount Wachusett Community College and the North Central Massachusetts region have to offer.

http://mwcc.edu/about-mwcc/

Mount Wachusett Community College is looking for a person to teach a data ethics course. The course can be taught online/remotely.
Please contact the Department Chair, Tina Wilson (t_wilson@mwcc.mass.edu) or Dean Veronica Guay (v_guay@mwcc.mass.edu) if interested in learning more.  

Course Description: Students will learn about the five principles of data ethics: ownership, transparency, privacy, intention, and outcomes as well as the data ethics tenets set by the Federal Data Strategy Team. Students will focus on ethical standards and practices specifically related to collecting, using, and selling data, security, privacy, policy, advocacy, and legal requirements. Additionally, students will review case studies; identify the importance of working with domain experts; compare strategies such as Data Feminism with traditional approaches; learn how discrimination impacts data and society; utilize visualizations; and complete writing assignments.

Student Learning Outcomes

Students will:

• Describe five principles of data ethics: ownership, transparency, privacy, intention, and outcomes
• Review and discuss the data ethics tenets set by the Federal Data Strategy Team
• Define classical ethical theories and Data Analytics
• Review case studies and assess best practices related to examples of collecting, using, and selling data • Identify risks related to security, privacy, policy, advocacy, and legal requirements
• Discuss privacy and shared responsibility
• Identify the importance of working with domain experts
• Identify value-laden biases and discrimination in Data Analytics
• Create visualizations that illustrate concepts related to fairness and identify mistakes
• Construct peer review exercises to review outcomes and measure accuracy
• Test accountability for AI and synthetic data for AI
• Compare strategies such as Data Feminism with traditional approaches
• Describe how discrimination impacts data and society

 

The goal of learning through inquiry, exploration and collaborative work is to increase problem solving, reasoning, analysis, critical thinking, and teamwork skills – all critical to becoming independent users of information technology.

Requirements:

Minimum Requirements:

• Masters degree with a major in course content area;
• Evidence of competence in the area of instruction;
• Maintain expertise appropriate to teaching responsibilities.

Desired Qualifications

• 3-5 years teaching experience in a community college 

Non-benefitted position.

Job Type :

• PARTTIME