Tag Archives: digital research

MATLAB Introductory Workshop, 10/15, 7pm – 9pm

“MATLAB® is a high-level language and interactive environment for numericalMatlab_Logo computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications.”  – MathWorks



Workshop Description
This workshop provides an introduction to MATLAB® interface. The workshop is intended for students with no programming experience, and is designed to assist students to learn basics of programming with MATLAB. The MATLAB interface, variables, arrays, conditional statements, loops, and plots are among the topics that will be explained. At the end of the workshop, students should be able to use MATLAB for their course work, and be ready to advance their programming skills on their own.

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Statistical Programming with R Workshop Series (Two Sessions!)

R is the de facto standard for statistical analysis in a wide range of disciplines such as 450985571v3computational biology, finance, sociology, political science and digital humanities. This two-part workshop will help participants to get started with R’s abilities, ranging from data structure to visualization. Designed for students without any programming experience, this course will better prepare you for introductory statistics courses and quantitative research at Princeton.

Part 1: Introductory Workshop in Statistical Computing with R
In the first session, you will become familiar with the R programming environment and learn how to work with variables, vectors and data frames. You’ll learn how to import data from a file, to filter it, and to extract summary statistics. You’ll then learn how to use the powerful ggplot2 package to visualize your data, including scatter plots, histograms and boxplots.

Part 2: Intermediate Workshop in Statistical Computing with R
In the second session, you’ll be introduced to R’s tools for statistics and exploratory data analysis. You’ll learn to use R’s built-in statistical functions to test hypotheses about your data, including computing correlations, comparing two samples, and performing linear regressions. You’ll then learn further methods of manipulating and summarizing data using the dplyr package, and learn the basics of exploratory data analyses.

PLEASE NOTE: The best way to learn R is to attend both sessions. The second session will assume students are familiar with both R data structures and the ggplot2 package. To meet the goals of each session, and out of respect for those who enrolled in both, the Instructor will not be able to review material for students not present for Part 1. If you absolutely must miss the first session, reviewing the material in Lessons 1 and 2 of the online course, and passing the corresponding interactive quizzes, would help acquire the necessary basis for Part 2.

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Teaching with Technology Innovators Series: As Easy As ABC: Digital Humanities in the Classroom

Topic: As Easy as ABC: Digital Humanities in the Classroom
Speakers: Bill (William) Gleason (Professor & Chair, Department of English), Andrea Immel (Curator, Costsen Children’s Library), Ben Johnston (Manager, Humanities Resource Center, OIT), Clifford Wulfman (Coordinator, Library Digital Initiatives)

Time: Tuesday, April 29, 4:30pm – 6:00pm
Location: 330 Frist Campus Center, McGraw Center Conference Room

Refreshments will be provided! To register for this session: http://bit.ly/TT-ABC
(Registration is not required for attendance, however refreshments may be limited.)

The collaborators behind the new Interactive Digital Archive of Rare ABC Books, featuring selections from the Cotsen Children’s Library, will discuss the vision, planning, and work of the project, which was supported with a course development grant from the Digital Humanities Initiative and has been integrated into ENG 385: Children’s Literature. They will also describe a special course component in which students receive training in the methods and materials of the digital humanities, including text encoding.

Bill Gleason is Professor and Chair of the Department of English. A specialist in American literature and culture, his research and teaching interests range from the 18th century to the present, with particular emphasis on the late 19th/early 20th century, and include popular culture, material culture, environmental studies, and the history of the book.

Andrea Immel, Curator of the Cotsen Children’s Library since 1995, organizes international conferences, gallery and virtual exhibitions, and acquires materials for the collection.  She contributed chapters to volumes 5 and 6 of the Cambridge History of the Book in Britain, and co-edited Childhood and Children’s Books in Early Modern Europe, and the Cambridge Companion to Children’s Literature.

Ben Johnston is manager of OIT’s Humanities Resource Center in East Pyne.  Since 2005, Ben has worked with Princeton educators, students, and researchers across the Humanities and Social Sciences to facilitate the use of digital assets, technology tools, databases, and digital video in teaching and research. Ben is also an active member of Princeton Digital Humanities Initiative.

Clifford Wulfman is coordinator of Library Digital Initiatives and Director of the Blue Mountain Project. In addition to many years’ experience with text encoding, Cliff has published numerous articles on topics in the digital humanities and is co-author, with Robert Scholes, of Modernism in the Magazines: An Introduction.


The Productive Scholar: Overview of Q-APS: Social Science Research Support for Scholars

Download the slides from this presentation: QAPS-Olmsted-slidesS2014

Topic: Overview of Q-APS (Program for Quantitative and Analytical Political Science): Social Science Research Support for Scholarsviews
Speaker: Jonathan Olmsted

Time: Thursday, April 17, 12:00pm – 1:00pm
Location: HRCC, 012 East Pyne, Lower Level




The Program for Quantitative and Analytical Political Science (Q-APS) offers training, consulting, and resources in support of social science and beyond. In this presentation, Jonathan Olmsted will outline and discuss examples of the ways Q-APS supports social science research at Princeton University for Princeton affiliates of all levels. The goal of this talk is to introduce these forms of support to a broader audience within the university.

SESSION RECAP: Jonathan provided a detailed overview of the various resources of Q-APS that are available to members of the campus. Though the focus of the presentation was on the social scientists Q-APS also works with humanists and those who, regardless of discipline, want to explore applying quantitative analysis to their research. Jonathan’s review included past and current examples of Q-APS’ support offerings including teaching…[more after the jump]

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The Productive Scholar: Best Practices for File and Data Management

Topic: Best Practices for File and Data Management455164167
Speakers: Willow Dressel and Carla Zimowsk

Time: Thursday, March 27, 12:00 pm – 1:00 pmLocation: HRC Classroom, 012 East Pyne, Lower Level

Lunch will be provided. To register for this session: http://bit.ly/FileDataPractices
(Registration is not required for attendance, however refreshments may be limited)

Download the presentation slides:

Willow Dressel and Carla Zimowsk will be “tag-teaming” this co-presentation on data matters central to all researchers. File Management: Whether gathered directly from archives or downloaded from online sources, digital research material can often wind up in a disorganized mess on your hard drive or in the “cloud,” impossible to easily locate again.  An old archivists saying claims “You don’t own it if you can’t find it!” Carla Zimowsk will focus on strategies and tools for keeping your digital research materials organized and discoverable. Data Management: More and more digital data are being used and created in the course of research, yet often little thought is given to managing this data for collaboration, future use, or preservation. Planning ahead for data management is the best way to address these needs. Willow Dressel will discuss creating data management plans and the importance of documenting your data.

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