My Wellness Check 2020-2022, data underlying the publication: A framework for designing AI systems that support community wellbeing

The "My Wellness Check" dataset is the product of a longitudinal study conducted to understand and improve the wellbeing of university students and staff during the COVID-19 pandemic. This research utilized an intelligent system, collaboratively designed by students, staff, and mental health professionals, to collect and analyze wellbeing data. The objective was to assess and respond to the evolving wellbeing needs within a university setting during a global health crisis. The research was applied in nature, aiming to provide actionable insights. Data collection was achieved through regular wellbeing assessments, engaging nearly 30,000 participants over two years. The methodology combined theoretically-derived wellbeing factors with those identified by community participants, ensuring a comprehensive and contextually relevant approach. The dataset comprises quantitative and qualitative data, reflecting real-time community wellbeing and the efficacy of various institutional responses. This rich dataset is instrumental for studies focusing on the impact of the COVID-19 pandemic on academic communities and the effectiveness of targeted wellbeing interventions.

"My Wellness Check"数据集是一项纵向研究的成果，该研究旨在了解并改善新冠（COVID-19）疫情期间高校师生的健康福祉状况。本研究采用由学生、教职工与心理健康专业人员协同设计的智能系统，用于收集与分析健康福祉相关数据。其核心目标为在全球公共卫生危机背景下，评估并响应高校场景中不断变化的健康福祉需求。本研究属于应用型研究，旨在提供可落地的实践洞察。数据收集通过定期健康福祉评估完成，历时两年，累计吸引近30000名参与者。研究方法将理论推导得出的健康福祉影响因素与社区参与者提出的相关因素相结合，确保研究方法兼具全面性与场景相关性。该数据集包含定量与定性两类数据，能够反映学术社区的实时健康福祉状况，以及各类高校应对措施的实施效果。这一丰富的数据集可有效支撑围绕新冠疫情对学术社区的影响、以及针对性健康福祉干预措施的有效性开展的相关研究。