Daniel Fink

TL;DR: This paper presents an innovative use of the Internet and information technologies that better enhances the opportunity for citizens to contribute their observations to science and the conservation of bird populations.

TL;DR: The eBird project as mentioned in this paper has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.

TL;DR: How advances in data-intensive science provide accurate estimates in species distributions at continental scales by identifying complex environmental associations is described.

TL;DR: This work organizes large volumes of data from multiple sources and fields and then analyzes them using techniques tailored to the discovery of complex patterns in high-dimensional data through visualizations, simulations, and various types of model building.

TL;DR: A semiparametric model that provides a flexible framework for analyzing dynamic patterns of species occurrence and abundance from broad-scale survey data and demonstrates that monthly changes in distribution of a migratory species can be more accurately described with a STEM than a conventional bagged decision tree model.