All Ethics Courses
Generative AI, Ethics, and the Future of Urban Planning
Explore the ethical and equity implications of using generative AI in urban planning. This course addresses bias, transparency, public trust, emerging tools like digital twins, and offers practical guidance for responsible adoption.
Enhancing Public Participation with Generative AI
This tutorial shows how generative AI can enhance inclusive and responsive public participation in urban planning by summarizing feedback, tailoring outreach, and visualizing scenarios using real-world tools and examples.
Generative AI Tools and Workflows for Urban Planning
This course introduces planners to the fundamentals of Generative AI (GenAI) and its practical uses in creating text, images, videos, and designs. It highlights how these tools can enhance and streamline urban planning practice.
What Is Generative AI and Why It Matters for Urban Planning
This course introduces urban planners to Generative AI (GenAI), covering its fundamentals and demonstrating how it can create text, images, videos, and designs to enhance planning practices.
Navigating the Ethical Landscape for AI in Urban Planning
Uncover some of the largest ethical issues related to using AI in urban planning and the steps cities around the world are taking to ensure fairness, honesty, and accountability as this revolutionary technology becomes more embedded in the modern world.
Demystifying AI: Terminology, Tools, and Techniques for Urban Planners
Understanding the basics of artificial intelligence, or AI, is increasingly important for urban planners. Learn the capabilities, limitations, and language of emerging technologies that utilize AI methods.
Crime and Urban Planning in the United States
The spatial patterns and environmental characteristics of urban crime offer planners an opportunity to contribute to building crime-resilient communities.
Solving Coverage and Location-Allocation Problems
Location-allocation problems involve locating supply sites and simultaneously allocating demand to those sites so the entire system is optimized. With this course, you will learn the basic principles of the coverage and location-allocation problems and be able to solve them using LINGO software and map the results in QGIS.
Suitability Analysis and Linear Optimization: Siting a New Transit Line
This course applies suitability analysis techniques and least-cost path analysis—which optimizes routes on linear features—to planning for and siting a new transit line.
Location Optimization
This course introduces the basic principles of location optimization models and provides a hands-on tutorial on point-based location optimization using QGIS and LINGO.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.