StoryBox is a unique storytelling event that brings people together to ask big questions, share life stories, and illuminate what we have in common. We will be telling each other stories inspired by the theme of “Roots.”
Come help us celebrate the birthday of our country’s government. September 17th is the day the U.S. Constitution was ratified.
Please stop by the main entrance of Fondren to pick up a pocket Constitution, play trivia (and eat cookies), as well as register to vote!
StoryBox is a unique storytelling event that brings people together to ask big questions, share life stories, and illuminate what we have in common. We will be telling each other stories inspired by the theme of “Roots.” When we get together to share our stories, it ignites something special. You’ll uncover common ground with someone you might never have expected.
SPSS is a widely used program for statistical analysis in social science. SPSS allows you to perform highly complex data analysis with simple instructions. In this workshop we will take a step-by-step approach to the software through hands-on activities. No previous knowledge of SPSS is needed.
Every day, thousands (if not more) of programmers, statisticians, data scientists, information professionals, and journalists use Jupyter, an open-source web app that interactively presents live code augmented with visualizations and narrative text. Known as Notebooks, these interactive scripts are perfect for working with (or teaching) coding, as well as telling an unusual story aided by visuals. In this short course, we introduce the Juypter Lab setting and present the rock-bottom basics of firing up your first Notebook.
This brief workshop will introduce you to the basic concepts of supercomputing and walk you through a humanities use-case based on JSTOR data. You will learn the difference between HPC and HTC, how to log into Rice’s supercomputing clusters, how to schedule a job, how to monitor resource usage, and the basics of concepts like message passing and load-balancing.
Learn your way around with Fondren 101. It’s a tour, followed by a short class to show you where to go and how to look in the library. It’s your Fondren Library orientation.
Classes will meet in the Quad (East) entrance area of Fondren Library. Each session, including tour and classroom time, will last about 90 minutes.
Drowning in data? Not sure how to organize and back it up? This hands-on, interactive workshop will share tips for effectively organizing, documenting and storing research data. Participants will walk away with ideas for completing a data management plan, naming and organizing files, and safely storing data.
Do you have data that you need to organize or analyze? This short course will cover techniques for organizing, importing, manipulating and summarizing your data using advanced Excel features such as data lists, pivot tables and functions. It will also provide tips for using Excel productively. Use of these Excel features will help you to organize, visualize and gain insights from your data.
Drawing on personal experience in navigating the complex decision making process for participation in a clinical trial for the treatment of Mantle Cell Lymphoma, this project uses Clarke’s (2005, 2010) social worlds/arenas methodology to map the world of oncology knowledge production. This project advances the line of work of Mol’s (2006) rich exploration of patient choice, Dumit’s (2004) analysis of the myriad roles that PET scans play as they circulate through patient experience, medical facilities, research laboratories, courtrooms and the public imaginary and Keating and Cambrosio’s (2011) study of the role of statistics and data centers in the development of targeted oncology strategies. Beginning to trace connections across user experience, patient experience, clinical trial software development, Big Data software development, pharmaceutical development strategies and oncology research, this study explores science-in-the-making, how knowledge practices are transformed during the critical juncture as research moves from single principle investigators working at bounded research sites to an era of global collaboration, Big Data, and the creation of vast databases of genomic information, clinical trials, and drug treatment results that will vastly accelerate the development of new cancer drugs.