Innovation in Citizen Science Using Machine Learning
An interdisciplinary team has come up with a mobile app for identifying plants based on users taking a photo of the plant on their mobile. For Citizen Science the enthusiastic engagement of the public with Flora Incognita shows a clear path forward for more widespread uses of machine learning in public participation with science and scholarship, and in knowledge creation.
Why an Age of Machine Learning Needs the Humanities
If democracy depends on informed citizens, democracy is in trouble. This is a moment of crisis for many institutions, including higher education, especially in disciplines such as English, philosophy, and history, which promise to prepare students as citizens. To prepare students for a world where information is filtered by computers, we will need a stronger alliance between the humanities and math. This alliance has two reciprocal parts: cultural criticism of the mathematical models shaping our world, and mathematical inquiry about culture.