As part of National Volunteer Week this month, we are profiling our DataCorps volunteers of projects past, present and future. These volunteers donate a whopping 5-10 hours a week over the course of several months to apply data science techniques that can help advance a social change organization's mission.
Conservation International believes that people need nature to thrive, which is why they are working to ensure a healthy, productive planet for everyone. While much research exists on the link between environmental conservation and human development, it's difficult as a nonprofit with limited resources to cull through this wealth of information. A team of DataCorps volunteers will be working with Conservation International to use various data collection and natural language processing techniques to acquire, classify, and extract information from conservation research. By automating what would would otherwise be a time-consuming process for staff, Conservation International will have access to much more information to make decisions and allocate resources to ultimately improve human development through environmental conservation.
Meet The Team
"The ability to combine an area of expertise you are passionate about with helping the world is a fantastic feeling and is very rewarding."
Bob Minnich is a graduate student in the Data Science program at Columbia University. He has spent his career as an engineer and program manager within healthcare and decided to further pursue his technical passions in data science.
"DataKind provides an opportunity to use my skills to make the world a better place. Also, Pete is very persuasive."
Burton DeWilde is a data scientist at Chartbeat working on data pipelines, product visions, and NLP. His background is in particle physics and media research.
Caitlin Augustin is the Data Analytics & Research Scientist at Kaplan.
Sam Anzaroot is a data scientist at Dataminr.