In this workshop, we will focus on learning how to conduct a meta-analysis specifically for systematic reviews of randomized controlled trials (RCTs).
Join us for a workshop that introduces the field of Critical Digital Humanities. This interdisciplinary field emphasizes questions of power, social justice, and critical theory in the creation and analysis of digital projects.
Join us for a workshop on Random Forest. Random Forest is an ensemble machine-learning technique used for both classification and regression tasks.
This beginner-friendly session introduces participants to the core concepts of Geographic Information Systems (GIS) and geospatial data, then shows how to apply these concepts during a hands-on exercise where you will create a web-based map in Arc
This beginner-level session introduces participants to Electronic Lab Notebooks (ELNs), covering common functions, ELN options, and key research considerations.
In this workshop, we will explore how to fit logistic regression models in R, interpret the odds ratios, assess model fit, and check for model assumptions.
Python, a versatile and user-friendly programming language, has found widespread use among scientists for a variety of applications.
Data Management Plans (DMPs) are both incredibly helpful research tools and increasingly required for grants but it can hard to know how to complete a Data Management Plan if it’s your first time.
Data deposit and data sharing are increasingly recognized as best practice to support open research, reproducibility, research integrity, collaboration, and more.