​About This Session

​Join the Nature Tech Collective for an engaging conversation with EcoMetrix Solutions and Lee Ball from Catawba College as they share how ecological modeling, site-level monitoring, and ecosystem service analytics are reshaping how institutions understand, plan, and invest in nature-positive outcomes.

​This session will dive into how EcoMetrix’s integrated monitoring-and-modeling platform powered the recent Catawba College assessment — establishing ecological baselines, informing regenerative campus design, and generating decision-ready intelligence for sustainability leaders, planners, and community partners.

​Key Topics We’ll Cover

​Nature-Positive Campus Planning:

​Discover how EcoMetrix Solutions worked with Catawba College and HOK to establish a comprehensive ecological baseline, map ecosystem function performance, and guide the creation of a regenerative, nature-forward master plan.

​Modelling Ecosystem Services with Bayesian Networks:

​Explore how EcoMetrix translates vegetation, soils, hydrology, and topography into quantifiable ecosystem functions, and how their Bayesian belief network approach tracks uncertainty and strengthens ecological decision-making.

​From Field Data to Benefit Mapping:

​Learn how site polygons, attribute measurements, and ecological function scores are rolled up to map the flow of ecosystem service benefits across and beyond the site, showing how campus improvements extend into surrounding communities.

​Rewilding, Landscape Transformation & Flood Resilience:

​Hear how Catawba is tackling low-biodiversity lawns, recurrent sports field flooding, and urban ecological constraints, and how targeted interventions can create educational landscapes, expand floodplain capacity, and foster regenerative habitats.

​Monitoring for Continuous Learning:

​Dive into how the EcoMetrix platform will be embedded in Catawba’s curriculum, enabling students to monitor ecological outputs over time, detect discrepancies in model assumptions, and participate directly in the stewardship of a living campus laboratory.

​Future Vision: AI-Enhanced Ecological Data Capture:

​See how machine learning and automated field sensing could dramatically improve data quality, reduce binning uncertainty, and scale ecosystem assessments, from automated canopy cover measurements to AI-assisted site classification.

​Who Should Attend

• ​Nature tech innovators developing ecological modeling or monitoring tools

• ​Campus sustainability leads and master planners

• ​Investors and donors seeking verifiable nature-positive impact pathways

• ​Environmental scientists and landscape architects designing regenerative systems

• ​Policy and standards developers working on MRV, TNFD, and ecosystem accounting

• ​Restoration practitioners and land stewards advancing data-informed interventions

​Part of the “Project Implementation” Series

​This session is part of NTC’s ongoing “Project Implementation” series, spotlighting how nature tech solutions move from concept to deployment, how partnerships like EcoMetrix Solutions’ make scaling possible, and what it takes to deliver measurable, credible regenerative impact.

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