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    • Introduction to Survey Design: Data Collection, Questionnaire Design and Response Processes-Lecture

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This lecture-format workshop will present an overview of available modes and methods of survey data collection as well as an introduction to the survey response process and implications for questionnaire design.  Participants will gain an appreciation of the tradeoffs inherent in survey design decisions and how design can affect data quality and survey errors. Topics […]

    Introduction to the Twitter API

    Room 1450 - Institute for Social Research 426 Thompson Street, Ann Arbor, MI, United States

    This workshop is designed for those who are interested in getting started with their own research and analytics of Twitter data. The workshop introduces workflows for using the Twitter API for programmers and non-programmers alike. For non-programmers, we'll be using the Postman software. For programmers, we'll demonstrate the same process in Python. We will also […]

    Simulation studies in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    Simulation studies are used to understand the properties of statistical procedures.  This technique is widely used when conducting power analysis for research studies,  which is one focus for this workshop.  Simulation studies can also be used to assess the performance of statistical procedures in non-standard settings, such as when there are concerns about missing data, […]

    Introduction to GIS

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover introductory GIS concepts, tools, and techniques. We will use QGIS (and ArcGIS) and learn the basics of vector- and network-data GIS by solving problems.  You will also learn to generate maps. We will use the graphical user interface and no programming experience is required for this workshop. The workshop is meant for […]

    Introduction to the Great Lakes cluster and batch computing with Slurm

    Modern Languages Building (MLB), Room 2001A

    OVERVIEW This workshop will provide a brief overview of the components of the Great Lakes Cluster. The main body of the workshop will cover the resource manager and scheduler, creating submissions scripts to run jobs and the options available in them, and hands-on experience. By the end of the workshop, every participant should have created […]

    • Multiple testing and large-scale inference in Python

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover techniques for conducting large-scale inference, using Python and its libraries.  We will cover the principals of how large scale inference is different from classical inference, and why multiple comparisons should usually be accounted for in an analysis.  We will then discuss the Bonferroni method, Benjamini and Hochberg's False Discovery Rate (FDR), […]

    Advanced batch computing with Slurm on the Great Lakes cluster

    Modern Languages Building (MLB), Room 2001A

    OVERVIEW This workshop will cover some more advanced topics in cluster computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and basic use of Great Lakes; dependent and array scheduling; troubleshooting and analysis; a brief introduction to workflow scripting using bash; parallel processing in one […]

    R package demo: gganimate and patchwork

    Modern Languages Building (MLB), Room 2001A

    This brief workshop will demonstrate the capabilities of two recent R packages, gganimate and patchwork. One package allows the data explorer to provide some lively enhancement to an otherwise static plot, without doing much more than standard plots with ggplot2. Likewise, the other package can seamlessly combine multiple ggplots of varying kinds into one cohesive […]

    Introduction to Stata

    Modern Languages Building (MLB), Room 2001A

    Topics: By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and using the help system. Get data into Stata and manage your data files Establish familiarity with your data Clean the data to prepare it for analysis Check for basic errors in the data Generate new variables […]

    Modeling spatially correlated data

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover introductory concepts, tools, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that emphasizes the idea of spatial correlation via neighborhood. The workshop will focus on conceptual aspects, diagnostics tests, implementation in R, and interpretation of results.