Climate change is both an environmental and psychological crisis, with college-aged youth (Gen Z/α) especially vulnerable to climate distress. While climate education can foster resilience and engagement, most studies rely on self-report, limiting objectivity. This proposal introduces an innovative approach by integrating cognitive and neurophysiological measures to evaluate climate resilience interventions. The study has two aims: (1) to develop and implement Nature Nod, an emotion processing task using climate-relevant imagery to objectively assess emotional adaptability; and (2) to identify neural signatures of resilience using electroencephalography (EEG). We will measure changes in processing speed and network-level brain activity before and after participation in the UC Climate Resilience (CR) course. The CR course combines contemplative practices, group dialogue, experiential activities, and climate action projects to cultivate mindfulness, compassion, and psychological flexibility while enhancing climate engagement. Using a cluster-controlled design, UC San Diego students in the CR course (n=20) will be compared with peers receiving standard climate education (n=20). We hypothesize that the CR course will improve emotional processing, reduce climate distress, and produce measurable neural plasticity in the cingulo-opercular network, sensitive to salient stimuli. Findings will establish objective biomarkers of resilience, advancing an interdisciplinary field linking climate change and cognitive neuroscience.