Spaces:

CommunityOne
/

open-navigator

Running on CPU Upgrade

Public Voting Records: Analyze voting patterns, bill sponsorships, and legislative priorities
Public Statements: Analyze speeches, press releases, social media, and meeting transcripts
Psychological Frameworks: Apply Big Five personality traits, moral foundations, leadership styles
Communication Patterns: Analyze rhetoric, framing strategies, and messaging consistency
Constituency Alignment: Compare positions with constituent demographics and values

Data Sources:

OpenStates API (voting records, bill sponsorships)
Meeting transcripts from events_text_ai (local positions and rhetoric)
Social media APIs (public statements)
Campaign finance data (FEC API)
Census data (constituency demographics)

Output Format:

{
  "person_id": "ocd-person/12345",
  "full_name": "Jane Smith",
  "office": "City Council Member, District 3",
  "jurisdiction": "Boston, MA",
  "personality_profile": {
    "big_five": {
      "openness": 0.75,
      "conscientiousness": 0.82,
      "extraversion": 0.68,
      "agreeableness": 0.71,
      "neuroticism": 0.35
    },
    "moral_foundations": {
      "care_harm": 0.85,
      "fairness_cheating": 0.78,
      "loyalty_betrayal": 0.52,
      "authority_subversion": 0.48,
      "sanctity_degradation": 0.42,
      "liberty_oppression": 0.71
    },
    "leadership_style": "collaborative",
    "policy_priorities": ["housing", "education", "climate"],
    "communication_style": {
      "clarity_score": 0.82,
      "consistency_score": 0.76,
      "emotional_tone": "optimistic"
    }
  },
  "voting_analysis": {
    "total_votes": 247,
    "attendance_rate": 0.94,
    "party_loyalty_score": 0.68,
    "bipartisan_collaboration_score": 0.45,
    "key_issues": [
      {
        "issue": "affordable_housing",
        "vote_count": 32,
        "support_rate": 0.91,
        "alignment_with_platform": 0.95
      }
    ]
  },
  "constituent_alignment": {
    "demographic_match": 0.72,
    "policy_position_match": 0.68,
    "responsiveness_score": 0.81
  },
  "sources": [
    "OpenStates voting records",
    "City Council meeting transcripts",
    "Campaign website positions",
    "Social media analysis (Twitter/X, Facebook)"
  ],
  "last_updated": "2026-05-05"
}

Implementation Steps:

✅ Create bronze_contacts table (DONE - already exists)
✅ Extract people from meeting transcripts (DONE)
🔲 Build personality analysis pipeline using LLMs
🔲 Integrate voting record analysis from OpenStates
🔲 Apply psychological frameworks (Big Five, Moral Foundations)
🔲 Create profile aggregation and scoring system
🔲 Build UI components for profile visualization
🔲 Add profile comparison tools (compare candidates, track changes over time)

Related Tables:

bronze_contacts - People extracted from meetings
opencivicdata_person - Legislators from OpenStates
bronze_decisions - Voting behavior in local meetings
bronze_organizations - Organizational affiliations

📊 Data & Analytics Features

Multi-Model AI Evaluation Dashboard

Status: In Progress (documentation complete, implementation pending)

Visual dashboard to compare AI model extractions and show consensus/contradictions.

Features:

Side-by-side comparison of model outputs
Consensus visualization (what all models agree on)
Contradiction highlighting with explanation
Quality metrics (Faithfulness, Relevancy, Coherence)
Model performance tracking over time

Reference: AI Model Evaluation

Advanced Frame Analysis Aggregation

Status: Planned

Build aggregated views of policy frame analysis across:

Time (how frames evolve)
Geography (regional differences in framing)
Issues (dominant frames per topic)
Decision outcomes (which frames predict success/failure)

Predictive Analytics

Status: Research Phase

Use historical meeting data to predict:

Likely decision outcomes based on arguments presented
Budget allocation patterns
Policy adoption timelines
Public engagement levels

🔍 Search & Discovery

Semantic Search Across All Content

Status: Partially Implemented

Expand semantic search to cover:

Meeting transcripts
Decision statements
Nonprofit descriptions
Elected official statements
Legislation text

Advanced Filtering

Status: Planned

Multi-dimensional filtering:

Geographic (state → county → city → district)
Temporal (date ranges, meeting frequency)
Thematic (COFOG codes, NTEE categories)
Sentiment (supportive vs. opposed arguments)
Financial impact (budget thresholds)

🤝 Collaboration & Engagement

Constituent Communication Tools

Status: Planned

Help residents engage with elected officials:

Template generator for public comments
Meeting reminder notifications
Issue tracking (follow specific topics)
Elected official contact finder
Public comment submission tracking

Advocacy Campaign Builder

Status: Planned

Tools for organizers:

Campaign strategy templates
Target identification (key decision-makers)
Power mapping visualization
Coalition building tools
Impact measurement dashboard

🧠 AI & Machine Learning

Fine-Tuned Models for Civic Analysis

Status: Research Phase

Train domain-specific models:

Civic-BERT: Fine-tuned for government meeting analysis
Policy-Frame-GPT: Specialized in frame analysis
Vote-Predictor: Predict council vote outcomes
Sentiment-Civic: Sentiment analysis for public comments

Ensemble Model Implementation

Status: In Progress

Implement production-ready ensemble pipelines:

Automated MoA synthesis for all new meetings
Multi-model comparison for quality assurance
Confidence scoring for extracted facts
Human-in-the-loop for low-confidence items

Reference: AI Model Merging

🗺️ Geographic & Spatial Features

Interactive Power Maps

Status: Planned

Visualize power dynamics from frame analysis:

Stakeholder influence networks
Constituent vs. developer interests
Coalition formation patterns
Decision-making pathways

Geospatial Analysis

Status: Planned

Map-based views:

Jurisdictions by policy topic heatmap
Nonprofit density by issue area
Meeting frequency by region
Budget allocation patterns

📱 Platform & Infrastructure

Mobile Application

Status: Planned

Native mobile apps for:

Meeting notifications
Live meeting viewing with AI summaries
Quick contact lookup for elected officials
Voice-to-text public comment submission

Real-Time Meeting Analysis

Status: Research Phase

Live AI analysis during meetings:

Real-time transcription and analysis
Live frame detection
Decision outcome prediction
Instant fact-checking of claims

Multi-Language Support

Status: Planned

Expand to support:

Spanish (priority)
Chinese
Vietnamese
Tagalog
Other languages based on jurisdiction demographics

🔒 Privacy & Security

Differential Privacy Implementation

Status: Research Phase

Protect individual privacy while enabling analysis:

Anonymized voting patterns
Aggregated demographic analysis
Privacy-preserving personality profiles

Data Governance Framework

Status: Planned

Implement comprehensive governance:

Data retention policies
Right to be forgotten mechanisms
Consent management system
Audit logging for all data access

🧪 Research & Experiments

Causal Analysis of Policy Outcomes

Status: Research Phase

Use causal inference to understand:

What policy interventions actually work
Impact of framing on decision outcomes
Effect of constituent engagement on votes
Budget allocation effectiveness

Comparative Jurisdiction Analysis

Status: Planned

Compare similar jurisdictions:

Best practices identification
Policy diffusion patterns
Regional coordination opportunities
Performance benchmarking

LLM-Generated Policy Briefs

Status: Planned

Automatically generate:

Meeting summaries for residents
Policy impact analyses
Comparison reports ("What did other cities do?")
FAQ generation from meeting transcripts

🎨 User Experience

Personalized Dashboard

Status: Planned

Customizable views based on user interests:

"My Neighborhood" - local-only updates
"My Issues" - filtered by policy topics
"My Representatives" - track specific officials
"My Meetings" - saved/bookmarked meetings

Accessibility Improvements

Status: Ongoing

Enhance accessibility:

Screen reader optimization
Keyboard navigation
High contrast themes
Simplified language mode
Audio descriptions for visualizations

📚 Documentation & Education

Civic Education Curriculum

Status: Planned

Educational materials:

"How Government Works" guides
"Understanding Your Local Budget" tutorials
"How to Make Public Comments" videos
"Reading Meeting Minutes" guides

API Documentation

Status: Partially Complete

Comprehensive developer docs:

REST API reference
GraphQL schema
Authentication guides
Rate limiting policies
Code examples in multiple languages

🔗 Integration Goals

Third-Party Integrations

Status: Planned

Connect with:

Civic platforms: Participatory budgeting tools, petition platforms
Social media: Auto-post meeting summaries
Calendar apps: Meeting reminders
Communication tools: Slack, Discord for community organizing
CRM systems: For advocacy organizations

Data Export & Portability

Status: Planned

Enable data export:

CSV/Excel for offline analysis
JSON API for programmatic access
PDF reports for sharing
Parquet files for data science
Push to HuggingFace Datasets

💡 Community Requested Features

Issue Tracking

Status: Planned

Track specific issues across time:

"Follow this bill through the legislative process"
"Alert me when budget item is discussed"
"Track mentions of my neighborhood"

Comparison Tools

Status: Planned

Compare across dimensions:

Before/after policy implementation
Your city vs. neighboring cities
Current council vs. previous council
Campaign promises vs. actual votes

Public Comment Analysis

Status: Planned

Analyze public comments:

Common themes in constituent feedback
Sentiment trends over time
Impact of public comment on votes
Who speaks at meetings (demographics)

📅 Timeline (Rough Estimates)

Q2 2026

✅ Multi-model comparison infrastructure (COMPLETE)
✅ MoA synthesis pipeline (COMPLETE)
🔲 Politician personality profiles (v1 prototype)
🔲 Multi-model evaluation dashboard

Q3 2026

🔲 Fine-tuned civic models
🔲 Advanced filtering
🔲 Mobile app (beta)
🔲 Real-time meeting analysis (pilot)

Q4 2026

🔲 Interactive power maps
🔲 Multi-language support (Spanish)
🔲 Constituent communication tools
🔲 API v2 launch

2027+

🔲 Predictive analytics
🔲 Causal analysis research
🔲 Civic education curriculum
🔲 Global expansion

🤝 How to Contribute

Have ideas for new features? Want to help implement something from this backlog?

Comment on existing issues: GitHub Issues
Submit feature requests: Use the "Feature Request" template
Join discussions: GitHub Discussions
Pick a backlog item: Comment on the issue to claim it
Submit a PR: Reference the backlog item in your pull request

📊 Priority Framework

We prioritize features using:

Impact: How many users benefit? (🔴 High / 🟡 Medium / 🟢 Low)
Effort: How much work is required? (🟢 Low / 🟡 Medium / 🔴 High)
Strategic: Does it align with our mission? (⭐ Yes / - No)

High Priority: 🔴 Impact + 🟢 Low Effort + ⭐ Strategic
Medium Priority: 🟡 Impact + 🟡 Effort + ⭐ Strategic
Research Phase: 🔴 Impact + 🔴 High Effort (needs more investigation)

🎯 Feature Status Legend

✅ Complete - Feature is live and available
🔄 In Progress - Actively being developed
🔲 Planned - Committed to roadmap
🧪 Research Phase - Exploring feasibility
💭 Idea - Community suggestion, not yet scoped

Last updated: May 5, 2026
Next review: June 1, 2026