whoami

David P. Adams, Ph.D.

environmental policy collaborative governance public institutions

I'm an Associate Professor of Public Administration at California State University, Fullerton. My work looks at how people build power together, how agencies actually work, and how we can do better by each other.

dadams@arch: ~

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dadams@csuf

Role
Associate Professor, Public Administration
Also
MPA Director · Associate Chair
Host
Cal State Fullerton
Uptime
10 years (since 2016)
Research
water · energy · data centers · govtech
Teaching
POSC 315 · 320 · 509 · 521 · 588
OS
Arch Linux x86_64 · macOS
Shell
zsh
Lang
Python
Tools
taskwarrior, jrnl, whisper, ollama

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Profile summary styled as fastfetch terminal output.

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I earned my Ph.D. in public policy and public administration from Auburn University, then joined the faculty at California State University, Fullerton. I serve as Associate Chair of the Division of Politics, Administration, and Justice and as MPA Director.

cat ~/now.md

Current work

new book

Navigating Water Quality Outcomes in American Watersheds

Cambridge University Press, May 2026

forthcoming

Who Welcomes the Data Center? Infrastructure Siting, Community Capacity, and the Limits of NIMBY Politics

IT Professional 28(4), September/October 2026

# 9 peer-reviewed articles · 5 manuscripts under review · full list →

ls -t ~/blog | head -3

Recent writing

  1. The Commons Was Never Empty. But It Was Ours.

    Hardin gave us the tragedy of the commons; Ostrom showed communities can govern one without collapse. But data center siting breaks both models: mobile, multinational capital drawing on resources still stuck at the local scale.

  2. My AI Assistant Hired a Bookkeeper (It's a Mac Mini)

    Claude Code's memory layer was quietly burning ~1,400 LLM calls a day against my usage limits. I moved all that background bookkeeping onto my kid's M4 Mac mini running Ollama—local, private, and free.

  3. Whisper for Accessibility: A Practical Solution for April 2026 ADA Compliance

    With the April 2026 ADA Title II deadline looming, OpenAI's Whisper offers a practical, locally-run workflow for generating accurate caption files from course recordings — no vendor required.

See all posts
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