Filtering by
This was achieved by first using offline explorer, an application that can download websites, to gather job postings from Dice.com that were searched by a pre-defined list of technical skills. Next came the parsing of the downloaded postings to extract and clean the data that was required and filling a database with that cleaned data. Then the companies were matched up with their corresponding industries. This was done using their NAICS (North American Industry Classification System) codes. The descriptions were then analyzed, and a group of soft skills was chosen based on the results of Word2Vec (a group of models that assists in creating word embeddings). A master table was then created by combining all of the tables in the database. The master table was then filtered down to exclude posts that required too much experience. Lastly, the web app was created using node.js as the back-end. This web app allows the user to choose their desired criteria and navigate through the postings that meet their criteria.
Public and private lands depend on organizations to manage and protect them for the recreational enjoyment of humans and the conservation of biodiversity. Organizations that partner, or co-manage, to manage these lands can combine their resources to reach efficient conservation outcomes for biodiversity protection. How organizations express their priorities publicly through their mission statements are important because of their ability to reach stakeholders. In my thesis research, I collect the mission statements for 1144 organizations that are categorized into two groups of those that partner at least once and those that never partner. I analyze the extent to which they align and the drivers through performing text analysis by creating word clouds, word frequency lists, and identifying themes to categorize the words into for each group of partnering and non-partnering. Comparing partnering and non-partnering organization mission statements, I find that partnering organizations use more conservation-themed language and non-partnering organizations use community/people-themed language more frequently. I also find that the type of organization impacted the words being used, as well as the ratio of these different types of organizations that made up the total group of partnering and non-partnering (federal, local, and non-government organizations (NGO)). Future research could center around the dynamics of the partnerships and the extent to which mission statements play a role in attracting other organizations to partner and their role in clearly reflecting priorities to the public.