2016-17 Research Workshop Series

LATIS offers a series of workshops created by our experts that are free and open to all faculty and graduate students. Workshops for Spring 2017 include:

Reproducible Online Experimental Research (using Qualtrics)

Friday, April 28 9:30 a.m.- 12:00 p.m. | Bruinicks 131B | Register

Qualtrics is a survey tool available to all University of Minnesota researchers, and can be used to support surveys as well as behavioral and experimental research. This workshop will teach participants how to develop online experiments using this tool, including how to randomize participants to conditions, customize participant paths based on responses, and embed multimedia stimuli. We will also cover best practices on using this tool reproducibly, including how to capture important metadata, prepare data for analysis, and integrate Qualtrics with other online tools, such as Amazon’s Mechanical Turk. This workshop is targeted toward UMN researchers who have some experience with Qualtrics and plan to conduct quasi-experimental or experimental research.

Intro to Python for Social Scientists

Friday, May 5 9:30 a.m.- 12:00 p.m. | Bruinicks 131B | Register

Python has seen wide adoption in academic research because it is a powerful and easy-to-learn programming language. In this workshop, participants will learn about the pros and cons of using Python for research computing, the fundamental building blocks and basic grammar of a Python program, and how the basic libraries of the scientific Python stack can be connected to create robust, reproducible analyses. This workshop is targeted towards grad students and other researchers who have minimal exposure or are new to Python, though some previous scripting or programming experience (e.g., MATLAB or R), would be helpful. Participants should bring a laptop.

Using the Open Science Framework for Better Research

Friday, June 9 10:00 a.m.- 12:00 p.m. | Bruinicks 131B | Register

Adopting more transparent and reproducible research can be challenging in a collaborative environment, as the tools, workflows, and file storage strategies of collaborators can widely vary wide. The Open Science Framework (OSF) is a free, open source collaboration tool designed to help manage projects across the research lifecycle, from planning and pre-registration, to analysis, to sharing results and data. This hands-on workshop will introduce participants to the OSF and how to use it to create more reproducible research projects and better comply with funder and journal mandates for data sharing. Participants will create an OSF project and will learn how to customize the OSF to best work for their research needs. Please bring a laptop to this workshop.

Previous workshops included:

  • Intro to Python for Social Scientists
  • Intro to R for Social Scientists
  • Intro to Nvivo
  • Intro to E-Prime
  • Introduction to Ggplot2 in R & Lab
  • Getting Data from the Web
  • Designing a Research Workflow
  • Qualitative Workflows and Tools
  • Reproducible Research in R
  • Automating Data Acquisition and Workflow
  • Information Visualization: Creating Graphics for Publication