White Papers
In-depth research, methodology benchmarks, and theoretical frameworks for the evolving intersections of spatial science and artificial intelligence.
Active Citizens: A Syllabus for Recognizing and Responding to Democratic Backsliding
The literature on democratic backsliding is enormous, but citizens who want to engage rarely have a structured path through it. Active Citizens is a nine-module annotated syllabus built around forty-nine works, organized in two parts: Part I develops the diagnostic vocabulary to name what is happening, and Part II develops the practical capacity to act on it. Each module includes a tiered reading list, engagement actions that turn analysis into practice, and contributions to two persistent tools the reader maintains throughout the curriculum: a Threat Journal and a Local Index. The syllabus is written for one reader: an engaged citizen who wants to become an experienced organizer. It is a training program, not a reading list.
Explore the Active Citizens SyllabusHuman-in-the-Loop-O-Meter (HILOM): A Trust-Based Framework for Disclosing AI Involvement in Scientific Publishing
Scientific publishers have no consistent standard for disclosing AI use in research - policies range from outright bans to vague acknowledgment requests that give authors nothing to work with. The Human-in-the-Loop-O-Meter (HILOM) fills that gap. It is a structured self-assessment framework that walks researchers through eight dimensions of AI involvement across the research and writing process, then generates a plain-language disclosure statement ready for submission. The goal is not compliance theater - it is a principled, author-driven approach to transparency that reflects how researchers actually work with AI tools.
Cross-reference HILOM results with institutional requirements in the AI Disclosure Policy Monitor.
Explore HILOM Framework