Ethical Framework

While the technological aspects of this research are compelling, the ethical dimensions of implementing LiDAR-based property assessment deserve careful consideration. This project acknowledges various stakeholders' interests and rights while addressing Ireland's housing crisis through technological intervention.

This research project adheres to strict ethical guidelines ensuring privacy protection, community engagement, professional respect, and equitable access to technology.

Privacy & Data Protection

3D scanning of properties raises important privacy concerns, particularly when properties may contain personal belongings or when neighbouring properties are inadvertently captured.

Key Challenges:

  • Capturing personally identifiable items in abandoned properties
  • Potential inclusion of neighbouring properties in exterior scans
  • Secure storage and transmission of detailed property data
  • Long-term data management and access controls

Safeguards Implemented:

  • Removal of personally identifiable items from all published models
  • Masking of neighbouring properties in exterior scans
  • Secure storage of raw scan data with encryption
  • GDPR-compliant data handling protocols
  • Clear consent procedures for property owners

Displacement & Gentrification

Technology that accelerates property development can inadvertently contribute to gentrification and displacement of vulnerable populations.

Mitigating Approaches:

  • Community Partnership: Collaboration with local housing initiatives
  • Prioritisation: Focus on community-led redevelopment projects
  • Integration: Alignment with social housing planning
  • Consultation: Engagement with local community representatives
  • Research: Investigation of balanced redevelopment practices

Professional Disruption

The technology could potentially disrupt traditional surveying and assessment professions, affecting livelihoods.

Responsible Implementation Strategies

Complementary Positioning

Technology as an enhancement to professional services

Professional Training

Upskilling programs for existing professionals

Industry Collaboration

Partnership with professional bodies

New Opportunities

Creating jobs in 3D modelling and digital assessment

Accessibility & Digital Divide

Advanced technological solutions may exacerbate existing inequalities if not implemented with accessibility in mind.

Potential Barriers

  • High initial equipment costs
  • Technical knowledge requirements
  • Digital literacy disparities
  • Limited access in rural communities
  • Technical support availability

Inclusive Approaches

  • Low-cost implementation options
  • Community technology hubs for shared access
  • Alternative non-digital reporting formats
  • Knowledge-sharing initiatives
  • Partnerships with public libraries

Stakeholder Analysis

This research project affects and involves multiple stakeholders with varying interests and concerns:

Property Owners

Interests: Accurate valuation, cost reduction, privacy protection

Concerns: Data security, unauthorized access to property details

Response: Clear consent procedures, data minimisation, secure access controls

Housing Authorities

Interests: Inventory management, renovation planning, cost efficiency

Concerns: Data reliability, implementation costs, technical expertise

Response: Validation studies, phased deployment, training programs

Local Communities

Interests: Affordable housing, neighbourhood improvement, cultural preservation

Concerns: Gentrification, loss of heritage, community displacement

Response: Community consultation, heritage documentation, affordable housing integration

Survey Professionals

Interests: Service enhancement, professional development, new markets

Concerns: Job displacement, devaluation of expertise, liability issues

Response: Collaborative development, skill enhancement programs, professional integration

Research Ethics

This project was conducted with upmost regard for privacy and adheres to the following ethical principles:

Informed Consent

All property owners provided explicit written consent for scanning and data usage.

Right to Withdraw

Participants could withdraw their data at any point during the research process.

Data Minimization

Only necessary information was collected and stored in accordance with privacy principles.