Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average precipitation?" The students locate the data from the World Health Organization and Environmental Protection Agency, download it, and use the merged and cleaned data to see whether the evidence supports the hypothesis that yellow fever cases are higher in wetter than drier years. The activity is intended to be used early in a course to prepare introductory students to eventually explore their own questions.

Creating your own database is an excellent way for students to learn the trials and tribulations of data collection and management. Construction of three simple databases using a spreadsheet is described here and basic summary statistics are provided.

Social Justice Dialogues in STEM 2 is a resource to help facilitate conversations around various social contexts within STEM classroom.

This exercise is designed to guide a learner through the construction of phylogenetic trees as a means of addressing research questions in forensic science such as the identification of previously unidentified species contributing to decomposition.

In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.

from workshop June 2021

Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets in an R-compatible format and doing basic analysis in R

This module introduces basic trigonometry calculations in the context of understanding tree height calculations. It is intended for an introductory biology audience.

Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to biology majors.

Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to biology majors.

Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.

A project to compare effects of a continuum of landscape alteration intensities on plant diversity, biomass, and ecosystem services, and to explore human socioeconomic connections to plants in the environment.

This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field data, to better understand how lichens respond to changes

Slides for BLUE presentation at 2020 BIOME Institute: Cultivating Scientific Curiosity

TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report writing.

This module introduces the probability of cell and molecule collisions in the context of understanding chemoreception. It is intended for an introductory biology audience.

This multi-part module aims to help you learn about water quality implications by understanding the variability of concentrations of nitrate in stream water through the evaluation of real-time data and identifying the reasons for this variability.

5Qs (five questions) is a simple pedagogy tool research mentors can use to help students think through their observations systematically, to draw supported conclusions, and to decide on next steps, all of which can be done independently by students.

In this activity, students will explore a dataset of fungi dispersal capabilities and colonizing success to test the predictions of island biogeography theory.

Students observe insect pollinators and other floral visitors in their backyards, or campus, or nearby natural areas to describe plant-pollinator networks and assess how the assemblages from their sites compare to those in a range of landscapes.