Detailed Agenda

As spatial data science and AI become increasingly critical in our decision-making processes, it has never been more important to consider the ethical implications of our analyses. This presentation introduces a framework for spatial analysis and AI that is intersectional and community- and justice-centered; has a foundation of equity and inclusion; and promotes accountability and transparency. Learn how to ensure that equity and ethics are central to the design, evaluation, and communication of your spatial data science work.