Bicycle Planning Courses
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- AIA CES
- AICP CM
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All Bicycle Planning 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.
Principles of Materiality, Responsiveness, Inclusivity, and Impact
In this course, students will take a deep dive into the AA1000 AccountAbility standard and its four Principles: Inclusivity, Materiality, Responsiveness and Impact and how they integrate to develop a very well thought out framework.
Introduction to Urban Informatics
This course discusses how the field of urban informatics works. You will also learn about the technologies and concepts influencing Urban Informatics, including "Big Data," machine learning, visualization, and data-driven decision making.
Measuring Neighborhood Segregation and Diversity
This course reviews the various ways to measure both segregation and diversity at the neighborhood scale.
United States Census 2020: All About Census 2020
Learn all about the upcoming Census. This course provides an overview of planned operations and discusses the Census schedule, process, products, accuracy, publicity, and jobs.
United States Census 2020: Using FactFinder and the American Community Survey
Learn how to use Census.gov and American FactFinder websites, which are the principal portals to Census Bureau data products and maps.
United States Census 2020: Introduction
This course covers basic Census Bureau geography and Census-taking concepts. It reviews the Census Bureau’s mission and development of the nation’s statistical and geographic "architecture" that is the basis of almost all general purpose used in government, academia, and the business world.
Crowdsourcing and Urban Planning
Crowdsourcing is the gathering of ideas, content, voices, and services by leveraging the collective intelligence and wisdom of crowds.
Citizen Science in Urban Planning
This course introduces planners to citizen science and how citizen science can play a meaningful role in urban planning.
Greenhouse Gas Emissions Accounting for Cities
Greenhouse gas emissions accounting is a core tool for developing, implementing, and monitoring climate actions and strategies. This course provides a basic overview of concepts that can be supplemented with training in specific software.
The DIY Form-Based Code: Research and Development
Covering concepts critical to developing the foundation for a code, this course takes a a tour through the creation of a code for the hypothetical city of Wrightville.
Working with Census.gov 1: Background and Geography
This first of four courses on the Census -- Background and Geography -- will prime you to understand how the Census works, where the data comes from, as well as vital terminology and data sets you should be familiar with in the built environment.
Working with Census.gov 2: Topics, Programs, Products
This second of four courses delves deeper into the Census 'architecture'. In course 2 of "Working with Census.gov", Dr. Chris Williamson, a.k.a. Dr. Data, provides an overview on the federally mandated topics that lead to programs which ultimately produce products for the public. Course 2 also delves into such tricky topics as Census data table analysis and gives insider tips and goodies from a Census Bureau veteran.
Working with Census.gov 3: Interacting with the Data
This third of four courses takes you into a series of live demonstrations and in-depth explanations and visuals from the Census.gov and American FactFiner websites. The course covers a comprehensive navigation of the pages, tools and interactive databases that form the expansive Census website and publicly accessible data stores and produced information.
Working with Census.gov 4: Quality, Interpreting and Examples
Chris Williamson, A.K.A. "Dr. Data" completes the final episode in this four course series on the 'architecture' and 'analysis' of the Census Bureau and its many products. In course 4 students will go through a brief introduction to margin of error and a range of error and data quality analysis. Along with some examples and case studies, this course takes us into Dr. Data's own Ventura County, California for a look at some of the more challenging sampling and non-sampling errors many planners and demographers must wrestle with.