Estimated time: 8 to 12 minutes. Every question is optional. This survey is intentionally uneven —
please answer only what speaks to your research. Skip anything outside your wheelhouse.
Thank you for taking the time to contribute your perspective. Your responses will directly shape priorities, evaluation design, and grant framing for three interconnected efforts under the CivicOS Institute umbrella.
CivicOS Institute (mission layer) — the nonprofit vehicle reducing systemic barriers in public service delivery through practical, low-cost, open source approaches.
Project ORTUS (law-as-code layer) — an MLIR-based compiler substrate that turns municipal legal text into deterministic, auditable decisions with citation-bound explanations. First pilot: residential fence permits, single municipality, targeting ≥95% agreement with expert-reviewed baseline.
Project Athena (civic intelligence layer) — a locally-sovereign civic monitoring platform assembling confidence-rated signal chains from campaign finance, lobbyist filings, property records, agenda items, and votes. First jurisdiction: Palm Beach County, FL (39 municipalities + 80+ governing bodies).
We are preparing proposals for upcoming NSF and related grant opportunities. With your permission, your responses will be cited in needs statements, design criteria, and evaluation plans.
Check any that apply. This helps us route your responses and calibrate follow-up.
A2.Transparency & Trust
Based on your research, what is the mechanism most likely to translate a CivicOS pilot into measurable public trust gains — and what is the mechanism most likely to backfire?
A3.Practical Adoption
In your experience with mobile and digital service adoption, what is the single biggest friction point that kills realistic municipal uptake?
Section A — Your thoughts & ideas (optional)
Open space. Anything on the mission layer you want us to hear — in your own words. Observations, warnings, analogies, references, half-formed ideas welcome.
Context. ORTUS compiles municipal legal text through an MLIR dialect into deterministic rule bundles.
Every decision emits a machine-auditable trace with citation IDs back to source sections. Explanations are
generated from the IR trace, not from a free-form LLM. Pilot: residential fence permits, one municipality.
B2.Algorithmic Fairness
Where is a deterministic, rule-bound system like ORTUS still at risk of producing unfair outcomes — and what fairness audit would you want to see before it goes live?
B3.Institutional / Coordination
ORTUS requires legal staff, engineers, and civic stakeholders to share authorship of the rule bundle. What governance structure is most likely to make that shared authorship work in a real municipality?
B4.Practical Adoption
If a municipality can only adopt one law-as-code domain beyond fence permits, which domain gives the best adoption-to-impact ratio? (e.g., code enforcement, licensing, benefits eligibility, variances, ADA compliance, records access, stormwater)
Section B — Your thoughts & ideas (optional)
Open space for ORTUS. Architecture critiques, risks, research connections, cautionary analogues from automated state or legal informatics literature. Anything we should read or stop doing.
Context. Athena assembles data points (campaign finance, lobbyist filings, property records,
agenda appearances, votes) into confidence-rated signal chains across 39 municipalities and 80+ bodies in
Palm Beach County, FL. Every claim is bound to an evidentiary class and source. The system is accountability
infrastructure — not prediction, not enforcement.
C1.Transparency & Participation
What is the most defensible way to surface a cross-jurisdictional influence pattern to the public without undermining trust or inviting backlash?
C2.Usable Privacy / HCI
Athena processes public records about identifiable people (officials, lobbyists, property owners). What usable privacy and consent design principles should constrain the public-facing layer?
C3.ML Privacy / Security
Where are the most likely attack surfaces on a civic intelligence platform — data poisoning, membership inference, source impersonation, model manipulation, other — and which should we prioritize hardening first?
C4.Fairness / Accountability Methods
How would you design an evaluation that demonstrates Athena's signal chains are defensible civic intelligence rather than narrative construction or selective emphasis?
C5.Administrative Law
What legal or constitutional guardrails should bound how Athena outputs can be used by oversight bodies, press, or litigants?
Section C — Your thoughts & ideas (optional)
Open space for Athena. Misuse patterns that keep you up at night, comparable projects to learn from, framing concerns, prior work we should study.
Context. CivicOS, ORTUS, and Athena are intended to be open source and replicable across
jurisdictions. Sustainability and community health are first-order design concerns, not afterthoughts.
D1.OSS Production / Scientific Software
What is the most underappreciated determinant of whether an open source public-sector project sustains itself beyond its initial grant?
D2.FOSS Community Health Metrics
Which CHAOSS-style metrics would you recommend we commit to tracking from day one as honest indicators of project health — not vanity metrics?
D3.Any Lens
What governance structure best protects an open source civic project from capture (by vendors, by a single municipality, by a single funder)?
D4.Practical Adoption
What keeps a replicable open source civic tool from actually being replicated in a second jurisdiction — and what intervention has the highest leverage?
Section D — Your thoughts & ideas (optional)
Open space for sustainability and community health. Projects we should study, funding models that actually worked, governance traps to avoid, and any thoughts on replicability that do not fit the questions above.
E3.
Are there one or two papers, frameworks, datasets, or case studies you would recommend we anchor the proposal to?
E4.
Is there a specific NSF program, foundation, collaborator, or community of practice you would flag as directly relevant?
E5.
What should we be worrying about that we probably are not? (This question exists because the people we are asking see the field more clearly than we do.)
Section E — Your thoughts & ideas (optional)
Open space for grant strategy. Framing you would push back on, collaborators we should contact, prior proposals that got funded for similar work, review-panel dynamics we should anticipate.
Final Open Reflection (optional)
Anything else you want us to hear — about CivicOS Institute, ORTUS, Athena, the grant trajectory, or the ecosystem these projects sit inside. No character limit.
Thank you. Your responses help shape priorities, evaluation design, and grant framing for the CivicOS portfolio.