TLDR: A human-centered initiative called the Eastern Shore Citizen Science Coastal Monitoring Network (ESCOM) in Nova Scotia, Canada, is strengthening climate resilience by integrating local generational knowledge with modern technology. Residents actively collect data on coastal geomorphology, ecology, and climatology using simple, low-cost methods. This data feeds into a “living digital archive” featuring a spatial database, a gamified user interface, and a conversational AI system, all developed by Dalhousie University students. The project aims to empower traditional communities to adapt to climate change through collaborative, intergenerational efforts and provides a replicable model for other regions.
Nova Scotia’s Eastern Shore, a collection of rural villages deeply connected to the sea, faces significant threats from climate change. Rising sea levels, intensifying storms, and coastal erosion endanger a way of life that has been shaped by the ocean for centuries. However, a new initiative is empowering these communities to build resilience by blending generational knowledge with modern technology.
The project, detailed in the research paper Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia’s Eastern Shore, moves beyond purely technical solutions. It brings together expertise from Computer Science, Industrial Engineering, and Coastal Geography to co-create tools directly with residents. This human-centered approach is hosted under Dalhousie University’s Transforming Climate Action (TCA) initiative, specifically through its Transformative Adaptations to Social-Ecological Climate Change Trajectories (TranSECT) and TCA Artificial Intelligence (TCA-AI) projects.
The Eastern Shore Citizen Science Coastal Monitoring Network (ESCOM)
At the heart of this initiative is ESCOM, a community-based program that emerged directly from the coastal landscapes it monitors. Rather than being passive recipients of information, residents are invited to become active collaborators in the scientific process. They define research questions, apply systematic methods to collect data, and contribute to a shared understanding of climate risks. This approach not only generates valuable observational data but also reinforces the crucial role of local knowledge holders in climate governance.
ESCOM’s strength lies in its local and regional partnerships. While it receives scientific support from Dalhousie University, its operational capacity is anchored within the social infrastructure of Nova Scotia’s Eastern Shore. Organizations like The Deanery Project, the Port Bickerton and Area Planning Association, the Anglican Parish of Port Dufferin, and local schools provide spaces for recruitment, training, and ongoing dialogue. This fosters intergenerational collaboration, where elders offer decades of observational experience and cultural memory, and younger participants contribute digital expertise.
Simple, Effective Data Collection
ESCOM relies on a straightforward yet scientifically robust technique for data collection, enabling residents to gather rigorous, quantitative data with minimal training and cost. This transforms personal observation into a collective scientific endeavor across three main data streams:
- Geomorphology (Beach Profiles): Volunteer teams conduct monthly beach profile surveys using a Single-User Beach Profiler (SUBP), constructed from everyday materials. This low-tech method precisely measures changes in sand elevation, helping communities distinguish between normal seasonal fluctuations and long-term erosion.
- Ecology (Vegetation Inventory): Volunteers systematically document plant species along the shore, contributing to an inventory of beach flora. This helps track invasive species and protect native plants essential for dune stabilization.
- Climatology (Weather Monitoring): ESCOM has established a dense network of low-cost personal weather stations and manual rain gauges, significantly increasing meteorological coverage. This citizen weather network provides local climatological data, offering context for observed erosion or flooding during storms.
The use of KoboToolbox for offline data collection ensures that volunteers in remote areas with unreliable internet can record observations without data loss.
The Digital Shore: Bridging Knowledge and Technology
Under the mentorship of faculty leads, Computer Science students are developing an integrated digital platform with four essential components:
- Historical Data Recovery: Students conduct “digital archaeology,” extracting open-source records from provincial and federal websites, including news reports, municipal documents, and community-submitted materials related to flooding, storm events, and shoreline changes. This grounds the historical database in both official sources and local memory.
- Intelligent Data Infrastructure: Students design and implement the core data architecture, including a spatially enabled database capable of integrating diverse data sources. This system facilitates flexible querying and serves as the foundation for advanced analytical tools.
- Conversational Interfaces and Digital Access: A central focus is the development of a conversational system that provides intuitive access to the platform’s information resources. This system combines retrieval-based methods with localized knowledge, allowing users to query historical climate events or recent shoreline changes through familiar communication tools like Telegram or web portals, reducing technological barriers.
- Persuasive Engagement and Participatory Design: Students lead the design of community-facing features that foster sustained participation. This includes a gamified citizen science approach that rewards contributions through recognition systems, progress tracking, and shared accomplishments, using persuasive computing techniques to strengthen long-term engagement.
This model creates a mutually beneficial dynamic: students gain meaningful experience in civic technology and human-centered design, while the community benefits from a responsive and continuously evolving digital platform.
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A Phased Approach to Long-Term Resilience
The project follows a multi-year, phased approach. The initial phase focused on building trust and piloting core methods. Subsequent phases emphasize network expansion, digital platform development, and community engagement, with CS students leading the creation of the database, AI-powered conversational tools, and gamified participation features. Later stages will focus on platform deployment, digital literacy workshops, and informing adaptation planning and risk governance strategies. The final phase emphasizes legacy and long-term risk governance, including formalizing partnerships and sharing methodologies.
This initiative underscores that effective coastal resilience is not solely defined by technical sophistication but by the capacity of communities to engage with and sustain meaningful participation in environmental monitoring and risk governance. By combining historical knowledge, systematic field methods, artificial intelligence, and participatory design, this project fosters a digital infrastructure that is both scientifically rigorous and deeply community-based, offering a replicable approach for other regions facing similar climate challenges.
