January 2019

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  • GradQuant Drop-in Ho…
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  • Programming Basics
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  • Hacky Hours
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  • An Overview of Causa…
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  • Hacky Hours
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  • Improving the Credib…
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  • Digital Humanities M…
  • Hacky Hours
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  • Data Analysis in Gra…
  • Hacky Hours



Introduction to Computation Methods for Bayesian Estimation

January 8th 1:10 – 3:00 PM, Life Sciences 1425

Computation Bayesian estimation enables the researcher to design fast and flexible statistical models. In this workshop, learn the foundations of Bayesian inference and explore how to use Markov Chain Monte Carlo (MCMC) computation methods using OpenBUGS to fit Bayesian statistical models.

ANSYS Workshop

January 10th 12:00 – 1:00 PM, HUB 379
*Free pizza will be served. 

In this workshop, you will learn about ANSYS engineering simulation software. Hear from ANSYS experts about what ANSYS does and how to access UCR resources. Participate in a demonstration of ANSYS’ capabilities. Please register here. *Pizza will be provided. 

Introduction to Programming

January 11th 9:10 – 11:00 AM, Life Sciences 1425

This workshop is meant for people who have never taken a computer science course and have no experience writing code or syntax.  Join us to learn basic fundamentals of coding and practice hands-on using Python. Please install Python 2.7 on your laptop in advance. (https://www.python.org/downloads/)

Python Series: Introduction to Python

January 16th 9:10 – 11:00 AM, Life Sciences 1425

Building up on information provided at the Introduction to Programming workshop, learn the basics of Python programming language and practice coding hands-on. Please install the Anaconda distribution of Python (https://www.anaconda.com/download) and bring your laptop.

Experimental Design

January 17th 9:10  – 11:00 AM, Life Sciences 1425

Learn the basic considerations of experimental design in this introductory workshop by exploring types of study design, operationalization of variables, randomization techniques, and sampling. Geared toward novice researchers, attendees will also explore best practices in experimental design.

R Series: Introduction to R

January 23rd 2:10 – 4:00 PM, Life Sciences 1425

Following up on our Introduction to Programming workshop, this workshop introduces the basis of data analysis in R as the first session of the R Series. Learn the core properties of the R programming language through step-by-step exercises and examples.

Introduction to MATLAB

January 25th  10:10 AM – 12:00 PM, Life Sciences 1425

Need to validate your assumptions or manage your data for professional plotting? In this workshop, beginner MATLAB users will learn the basics of numerical computing with MATLAB and practice creating your own scripts. Please bring your laptop and install MATLAB in advance (cnc.ucr.edu/mysoftware/).

Introduction to Qualtrics

January 29th 1:10 – 3:00 PM, Life Sciences 1425

Learn about Qualtrics Research Suite, a useful survey tool for gathering data for academic research and program assessment. Participants will construct their own Qualtrics surveys and employ survey distribution and management tools. Please bring your laptop for hands-on practice.

A Feminist Approach to Coding Using Processing

January 31st 9:10 – 10:40 AM, Life Sciences 1425

Come to this introductory level workshop to learn about Processing, a data visualization software. Reflect on the preconceptions built into a technology while examining what the software takes for granted. Please bring your laptops and download Processing prior to the workshop (https://processing.org).

R Series: Intermediate Topics in R

February 1st 2:10 – 4:00 PM, Life Sciences 1425

Building on the earlier Introduction to R workshop, this workshop is geared towards those wanting to learn more about using the R language. Topics discussed will include looping, function creation, conditional statements, debugging, and optimizing code. Attendees should be familiar with R.

Improving the Credibility of Your Research I: Pre-registration and Disclosure

February 5th 1:10 – 3:00 PM, Life Sciences 1425

Concered about the replication crisis in science? Learn about the p-curve tool for assessing researcher discretion within a scientific literature at this workshop. Explore best practices to limit “researcher degrees of freedom” before and after a study is conducted.

Python Series: Data Management in Python

February 6th 9:10  – 11:00 AM, Life Sciences 1425

Build on your Python skillset and learn loops, data parsing, structures, organization, and storage using the Python packages NumPy and pandas in this workshop. Please install the Anaconda distribution of Python (https://www.anaconda.com/download) and bring your laptop.

Introduction to LaTeX

February 12th 9:10 – 11:00 AM, Life Sciences 1425

Beginners will explore the LaTeX document preparation system and engage in hands-on production of a basic LaTeX document. Learn to format text and insert images and tables. Please bring your laptops and create a free account on https://www.sharelatex.com in advance.

R Series: Multilevel Modeling in R

February 15th 2:10  – 4:00 PM, Life Sciences 1425

This workshop is aimed at students wishing to learn how to specify multilevel and random effects models in R. We will discuss extensions such as categorical outcomes, graphing, repeated measures, three level models, and troubleshooting models. Attendees are recommended to have basic R knowledge.

Stata Workshop

February 21st 9:10 AM – 4:00 PM, Life Sciences 1425

Join Chuck Huber, a Senior Statistician from Stata as he introduces the Stata interface, the data editor, the do-file editor, the menus, the dialog boxes, the help files, and the pdf documentation. Explore Bayesian statistics using Stata, multilevel modeling, and structural equation modeling. For more information, please visit here. *Pizza will be served.

Data Processing in MATLAB

February 22nd 10:10 – 12:00 AM, Life Sciences 1425

Learn advanced tools in MATLAB for data processing and numerical analysis. You will practice importing and manipulating vectors with built-in functions and discover graphical options for plotting. Please bring your laptop and install MATLAB in advance (cnc.ucr.edu/mysoftware).

Network Analysis: Introduction and Application

February 27th 9:10 – 11:00 AM, Life Sciences 1425

Learn the basics of network and graph theory, how it may be applicable in your own research, and examples of analysis/visualization software. Tailored for those without prior network analysis or programming experience, Cytoscape and Gephi installation is suggested in this workshop.

Machine Learning in R

February 27th  2:10 PM – 4:00 PM, Life Sciences 1425

Learn the basic concepts of machine learning using the R language. Learn how to code and interpret machine learning topics such as random forests, recursive partitioning, and neural networks. Attendees will gain skills that will allow them to begin using their own machine learning problems.

Improving the Credibility of Your Research II: Code and Data Archiving

March 5th 1:10 – 3:00 PM, Life Sciences 1425

Learn about research transparency by reviewing best practices for preparing your code and data for public archiving. Explore how to de-identify your data, record and version your code and dynamic documents, and use data repositories such as GitHub and Dataverse.

Introduction to SAS

March 7th 9:10 – 11:00 AM, Life Sciences 1425

Learn the basics of the syntax-driven analysis software SAS. Practice importing data, managing variables, and employing descriptive statistics, and run fundamental analyses under the general linear model. Please install SAS on your PC laptop in advance (SAS only runs on PC) (cnc.ucr.edu/mysoftware).

Digital Research Methods Program Seminar

March 8th 2:10 – 3:00 PM, HUB 265

GradQuant welcomes Dr. Petra Dierkes-Thrun from Stanford University as our guest speaker in Winter 2018. Dr. Dierkes-Thrun will be giving a talk on pedagogically smart uses of technology in teaching in the Humanities. Here is the information for her talk:

For more information and to register, please visit here.

Troubleshooting SEM

March 12th 10:10 – 12:00 AM, Psychology 3210

The use of Structural Equation Modeling often comes with a variety of errors that can perplex users. This on-demand workshop will cover some of the issues that may arise in SEM, along with some potential remedies that researchers can implement. Basic knowledge of SEM is recommended. *This is an on-demand workshop open to everyone, but held in Psychology 3210

From Analog to Digital: Using Humanities-Based Sources in GIS Projects

March 14th 12:10 – 2:00 PM, Life Sciences 1425

Explore different ways humanities scholars have utilized analog sources in GIS systems such as archival documents and other visual materials. This workshop offers participants the opportunity to develop different ways to incorporate their sources into a GIS project. Participants are encouraged to bring their sources to the workshop for discussion.

Advanced Formatting in LaTeX

March 15th 10:10 AM – 12:00 PM, Life Sciences 1425

Learn how to move your manuscripts to the next level with advanced LaTeX tools. In this workshop, you will practice using templates and changing their formatting, insert a bibliography to your document, and learn advanced commands for figures and mathematical formulas. Please bring your laptops.

The Structural Topic Model for Applied Social Science

March 16th 2:10 – 4:00 PM, Life Sciences 1425

This workshop, presented by Dr. Molly Roberts from UCSD, will cover the basics of using the structural topic model in social science research. We will begin by discussing how to use text as data. Then we will learn about and apply the Latent Dirichlet Allocation and how this extends to the structural topic model. Last, we will discuss some of the challenges of using topic models for causal inferences and how to overcome these challenges in social science research designs.