Resources

Cultural Evolution

Biocultural Diversity & Conservation Research Group at Colorado State University (Website / Twitter / Facebook): Draws on theory and methods from geography, anthropology, ecology, evolutionary biology, and economics to examine biocultural approaches to conservation, as well as the geography and evolution of cultural diversity.
excd.lab at the University of Bristol (Website / Twitter): Investigates how the startling (yet not infinite!) variety in human culture has evolved.
Max Planck Institute for the Science of Human History: Exploring the history of humanity using the state-of-the-art analytical and genetic methods.
Cultural Evolution Society: A professional scientific society that advances the theory and practice of cultural evolutionary studies.
Social Evolution Forum: Brings evolutionary experts together, resulting in a new agenda for basic scientific research, policy formulation, and policy implementation.

Radiolab: A radio show and podcast weaving stories and science into sound and music-rich documentaries.
What If?: Serious scientific answers to absurd hypothetical questions.

GAUSSI Program at Colorado State University: An interdisciplinary training program preparing Colorado State University researchers to generate and analyze large biological datasets.
Open-Source Data Science Masters: The open-source curriculum for learning data science. Foundational in both theory and technologies, breaks down the core competencies necessary to making use of data.
Free Data Science Books: Top recommendations of quality data science books that are either available for free or pay what you want, by Quora data scientist William Chen.
Partially Derivative: A podcast about the data of everything.

Data for Democracy: Collaborating on data projects to build a stronger society.
Data Science for Social Good Fellowship: Training data scientists to tackle problems that really matter.
DataKind: Brings together top data scientists with leading social change organizations to collaborate on cutting-edge analytics and advanced algorithms to maximize social impact.
DrivenData: Hosts data science competitions to save the world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
Bayes Impact: Non-profit that builds operational solutions to the world's biggest challenges using data science.

FiveThirtyEight: Uses statistical analysis — hard numbers — to tell compelling stories about elections, politics, sports, science, economics and lifestyle.
Seeing Theory: A visual introduction to probability and statistics.
Nature Web Collection: Statistics for Biologists: Highlights important statistical issues that biologists should be aware of and provides practical advice to help them improve the rigor of their work.
Simply Statistics: Three biostatistics professors who are fired up about the new era where data are abundant and statisticians are scientists.

n(R) 592: My R course for graduate-level students. First taught Spring 2019 for the College of Natural Resources at Colorado State University.
Learning Statistics with R: An online textbook by Danielle Navarro that covers the contents of an introductory statistics class focusing on the use of the R statistical software.
swirl: Teaches you R programming and data science interactively, at your own pace, and right in the R console.
RStudio Cheat Sheets: Make it easy to learn about and use some favorite packages.

Codecademy Python: Learn to program in Python.
Google's Python Class: A free class for people with a little bit of programming experience who want to learn Python.

99% Invisible: A show about all the thought that goes into the things we don’t think about — the unnoticed architecture and design that shape our world.
Paul Tol's Color Schemes: Ready-made color schemes for each type of scientific data as a function of the number of colors needed, with colors that are distinct for all readers including people with color blindness.