Dr. Hoenigman's research focuses on modeling underlying dynamics of relevant social issues such as hunger and food waste. A novel component of her work is the application of predictive modeling and learning algorithms to domains where these algorithms are not frequently used. Dr. Hoenigman also coordinates with local relief agencies to affect change in her community by involving the community in her research, and using the research findings to inform community practices.
predictive modeling, applying computer science modeling to social problems such as hunger and drought, modeling food waste in boulder, understanding underlying dynamics of social problems
Lower Division, Undergraduate Level Independent Study (Spring 2019)
Special Topics in Algorithms (Spring 2019)
Upper Division, Undergraduate Level Independent Study (Spring 2019)