RedVector RV-W121825

12/18/2025: LIVE INTERACTIVE WEBINAR, Data Justice in Planning: Ethical Use of Tech, AI, and Spatial Analysis - NEW, Thursday, December 18, 2025, 11am-1pm Eastern

12/18/2025: LIVE INTERACTIVE WEBINAR, Data Justice in Planning: Ethical Use of Tech, AI, and Spatial Analysis - NEW, Thursday, December 18, 2025, 11am-1pm Eastern

2 hrs. Webinar

Level: Intermediate

Item#: RV-W121825

SME: Anonymous

As cities become more data-driven, planners and allied professionals face urgent questions about the ethical use of technology in shaping urban life. This two-hour webinar introduces the emerging concept of data justice—the fair, accountable, and equitable use of data in planning, design, and infrastructure decision-making. Participants will explore how tools like artificial intelligence (AI), geospatial systems (GIS), and urban sensors are transforming city planning and operations—while also exposing communities to new risks related to surveillance, algorithmic bias, and unequal access. Through real-world case studies and policy frameworks, attendees will critically assess how digital tools can either reinforce systemic inequities or advance inclusive, democratic planning processes. The course will equip practitioners with guiding principles for transparency, accountability, and equity in data collection and analysis, and offer actionable strategies to align smart city innovation with the public interest.
 
 
 
Note: This is a live webinar delivered via GoToWebinar. Session instructions will be emailed to you 24-48 hours prior to the webinar and the morning of the webinar. If you have not received your instructions for any reason, please call Customer Support (1-866-546-1212) the day of the event. Webinars are live and interactive. Students will have the ability to interact with and ask questions of the presenter directly.
Course Objectives
By the end of this webinar, participants will be able to:
  • Define the concept of data justice and explain its relevance to planning, architecture, engineering, and urban governance and community well-being.
  • Identify common sources of data bias in planning technologies, including AI-driven tools, GIS systems, and sensor networks.
  • Evaluate the ethical and social risks associated with emerging technologies, such as surveillance, algorithmic decision-making, and predictive modeling.
  • Apply principles of transparency and accountability to the use of data in planning processes and stakeholder engagement.
  • Develop inclusive strategies for data governance that center community needs, protect civil liberties, and promote community welfare and equitable outcomes in the built environment.