Events

Many exploratory research computing projects will eventually grow to require larger amounts of computational resources, either because they need to demonstrate that they are correct and reproducible, or to answer larger, more complicated research questions. This seminar will teach you to use the Lehigh high-performance computing (HPC) cluster to build parallel scientific software for answering larger questions using simple Linux tools along with the HPC scheduler (named SLURM).

Whether you're on the front-lines of customer service or want to learn general strategies for de-escalating tense situations, this session can help! Learn practical, easy-to-remember phrases and techniques that defuse and de-escalate when things heat up. Presenters are members of LTS Client Services with years of experience providing services to varied populations.

This session is formerly called Data Backup and Management, and has been updated to include changes to university storage quotas. This seminar offers best practices for caring for your files -- wherever they are -- and making sure you always have your data.

The Center for Innovation in Teaching and Learning invites all Lehigh faculty to our XR Community of Practice fall meet-up on Thursday, March 27 at 3 p.m. in the new LETs Lab located in EWFM Library.

Our guest speaker will be Dr. Alec Bodzin, Professor and Program Director of the Teaching, Learning, and Technology program in Lehigh’s College of Education. Professor Bodzin has been at the forefront of immersive learning, design and development of Virtual Reality learning environments at Lehigh. Dr. Bodzin will speak about his work with the Lehigh RiVR Immersive Learning Project. This Mountaintop Projects initiative is a cross-collaborative group of faculty, graduate students, and undergraduate students, which has been designing and developing VR for STEM education to promote engagement and learning about spatial watershed features and environmental issues in the Lehigh River watershed. Dr. Bodzin will also showcase some of their many game-based projects including Flood Adventures, an interactive simulation game about flood preparedness and safety.

Immediately following the talk and discussion, attendees are invited to play Flood Adventures themselves! You’ll be able to play on one of the Mac workstations or on your own device. Your feedback will be valuable as well!

If you've never been to one of our meet-ups before, it's a great way to make connections with other Lehigh folks with similar interests in XR and immersive learning.

Refreshments will be provided, so please RSVP by Wednesday, March 26. The LETs Lab is accessible via the FM Library breezeway and is located next to the Digital Media Lab, across from The Grind. ALL are invited - students, faculty, and staff! We hope to see you there!

Are you interested in learning more about Generative AI (GenAI) tools available to the Lehigh community, such as Google Gemini, NotebookLM, or DataCamp’s DataLab? Would you like to hear how LTS staff have supported teaching and learning using OpenAI’s ChatGPT and Dall-e, Microsoft’s Copilot, and GitHub’s Copilot? Or, do you just have a general question about GenAI?

If so, we invite you to attend LTS GenAI Office Hours! During these sessions, LTS staff will be available to answer your questions, demonstrate specific tools, or discuss this new and rapidly evolving technology.

Please join us for one or more sessions throughout the semester on the last Friday of every month through April. All sessions will be held from 12:00 to 1:00 p.m. via Zoom (no registration necessary). (https://lehigh.zoom.us/my/ltsofficehours):

February 28March 28April 25Additional resources:

Join us for a series of engaging Artificial Intelligence seminars, where you'll explore how Generative AI can enhance workflows, streamline communication, organize and synthesize content, analyze data, and assist with research. All sessions via Zoom.

For guidance, policies, and support for the use of AI at Lehigh, visit ai.lehigh.edu.

Library and Technology Services

This seminar will walk newcomers through a fun and interesting use case that highlights some of AI's strengths. First we will use the technology to automatically transcribe samples of handwritten letters drawn from Libraries Special Collections. Then we will use AI to better understand our sample letters. Finally, we will summarize and export the text to editable documents and spreadsheets that can be used for future analysis.

Find the "Just Right" solution for data! We will delve into the world of databases, data warehouses, and data lakes, exploring the distinct characteristics and optimal use cases. Through real-life examples and practical insights, we will navigate the nuances of each data storage option, highlighting their strengths, limitations, and ideal applications.

Lehigh has recently added to its mail merge capabilities. Come learn about effective use of this new mailing toolset.

Research computing projects of all sizes can benefit from interactive tools which make it easy to develop, debug, and visualize code and data on our local high-performance computing (HPC) systems. This seminar will demonstrate the use of a web portal to interact with your data and code, with a particular emphasis on connecting Jupyter notebooks to very large datasets and parallel computations.

Learn how to find and analyze research with artificial intelligence (AI)-enabled tools in this exploratory session. This session will review the basics about different tools and provide some insights for comparing them. Time will be provided for questions, feedback, and experimentation.

This seminar will cover using the Lehigh ETD -- creating an account, setting up your profile with ProQuest, converting your manuscript to PDF, determining your author rights, embargo & delay options, ordering extra copies, Lehigh Preserve, and more. This session is intended primarily for graduate students and department graduate coordinators.

This seminar will cover using the Honors Thesis & Capstone Projects LibGuide to upload undergraduate thesis to Lehigh Preserve as Open Access. It is intended primarily for undergraduate students and department coordinators.

Research computing projects can have a large impact if they are portable and easy to share with new collaborators. In this seminar, you will learn how to package your scientific computations in a Linux-based container system (Docker and Apptainer). Containers can make it easy to take your work to larger public supercomputing centers, and improve the reproducibility and openness of your scientific software.

Learn about the capabilities and possibilities of managing work in Lehigh's project management solution Jira. Led by a member of the project management and operational excellence team in LTS.

Do you find yourself wishing you had a whiteboard or collaborative space planning option for working with colleagues? For a small fee LTS is making Miro available to faculty and staff. Come learn how it works!

Immigration and naturalization records--regardless of when they were created--tell the story of your ancestor making that momentous decision to immigrate, travel, or become a citizen of a different country. Find out what can be learned in these records!

This seminar will cover using the Honors Thesis & Capstone Projects LibGuide to upload undergraduate thesis to Lehigh Preserve as Open Access. It is intended primarily for undergraduate students and department coordinators.

This seminar will cover using the Lehigh ETD -- creating an account, setting up your profile with ProQuest, converting your manuscript to PDF, determining your author rights, embargo & delay options, ordering extra copies, Lehigh Preserve, and more. This session is intended primarily for graduate students and department graduate coordinators.

When a research computing project evolves to answer more nuanced questions, it inevitably requires more computational power and generates more data. This seminar will teach you the best practices for storing large, complex datasets so they can easily be analyzed and mined for new insights. These methods will apply to any research questions that depend on big data.