{"id":2974,"date":"2023-02-22T16:46:45","date_gmt":"2023-02-22T16:46:45","guid":{"rendered":"https:\/\/onenatureinstitute.org\/?p=2974"},"modified":"2023-02-22T16:46:45","modified_gmt":"2023-02-22T16:46:45","slug":"step-2-adapting-the-survey-and-collecting-the-data","status":"publish","type":"post","link":"https:\/\/onenatureinstitute.org\/stories\/step-2-adapting-the-survey-and-collecting-the-data\/","title":{"rendered":"Step 2: Adapting the Survey and Collecting the Data"},"content":{"rendered":"
<\/p>\n
The second step of our five-step plan for a <\/span>well-being approach to conservation<\/span><\/a> is adapting the survey and collecting the data. Step one was focused on how <\/span>deep-listening<\/span><\/a> can radically and positively transform data collection, in turn ameliorating how we go about conservation projects and community well-being. Step two, adapting the survey and collecting the data, focuses on taking the data collected in step one and using it to adapt our \u201cWild Happiness\u201d index to better suit the community, creating a well-being baseline. This can then be used for tracking and assessing future projects.<\/span><\/p>\n <\/p>\n OneNature and the Happiness Alliance have developed a peer-reviewed validated community well-being index, <\/span>the Wild Happiness Index<\/span><\/a>, that is designed\u00a0 to assess life satisfaction, the many domains of well-being, and communities\u2019 feelings about wildlife and nature around them. The Wild Happiness Index is based on <\/span>Bhutan\u2019s Gross National Happiness<\/span><\/a> (GNH) framework and designed to be used by project managers in community-based wildlife conservation projects.\u00a0<\/span><\/p>\n <\/p>\n While the wildlife conservation field has continued to grow to better incorporate community well-being, it has <\/span>proven to be quite difficult<\/span><\/a> to advance the two simultaneously. This is why a survey that measures well-being is vital; The joint objectives of enhancing community well-being and protecting wildlife are better achieved by r collecting data on well-being within the context of community-based wildlife conservation projects. By using this tool, we are able to explicitly link and assess the effectiveness and sustainability of wildlife conservation with the perceptions of the community about improvements in their lives.\u00a0<\/span><\/p>\n <\/p>\n