The University of Cincinnati Libraries Research and Data Services, Xavier University Department of Speech, Language and Communicative Behavior, College of Allied Health Sciences Department of Communication Sciences & Disorders, and UC Center for Public Engagement with Science invite you to an Open Research Day on May 27, 2026, from 9 am to 4 pm.  This event will be held in person at the University of Cincinnati Faculty Enrichment Center (Langsam Library, 2911 Woodside Drive, Cincinnati, OH 45219).  Recordings will be made available after the events.


We welcome anyone interested in learning about or sharing experiences and expertise related to open scholarship practices and principles. This event will feature a keynote address, lightning talks, podium/panel presentations, and a discussion group to foster Open Research efforts and community at the University of Cincinnati and beyond. 


Agenda

9:00 – 9:15     Opening Remarks by  Liz Kiscaden, Dean and University Librarian

9:15 - 10:45    Keynote – Crystal Lewis

10:15 – 10:30  Break

10:45 – 11:45  Science Communication – Kate Nicole Hoffman (PEWS)

11:45 – 12:00  Break

12:00 – 1:00    Catered Lunch & Networking 

1:00 – 1:30      Open Access Session - Melissa Moreau 

1:30 - 2: 30      Lightning Talks – Applications of Open Research Practices 

2:30 – 2:45      Break

2:45 – 4:00      Open Research Approaches Session – Nicky Agate, PhD

4:30                 Optional Happy Hour


If you have any questions, comments, or ideas as we plan this event, please reach out to our event organizer, Amy Koshoffer (Assistant Director, Research and Data Services, UC Libraries at askdata@uc.edu

AI Unlocked: Empowering Higher Education through Research and Discovery provides a unique opportunity for researchers, educators, and students to learn how to integrate AI tools in research and classroom settings.

Registration is free for the day and a half-long event, which is sponsored by ACCESS and NAIRR Pilot and University of Colorado, Boulder. Space is limited to 150 participants. We anticipate receiving more applications to attend than available spots.

Travel support may be available for hotel accommodations and economy flights for those traveling from outside a 50-mile radius of the event location.

To apply to attend, submit the Application Form

The application deadline is March 9.

When: June 2-3, 2026

Where: Denver, Colorado

Check the event webpage for details.

Due to the high interest in the AI Unlocked workshop, we have added a virtual component to the event. If you already applied to attend, you do not need to re-apply. Those not selected for in-person participation will be considered for the virtual option.

If you did not apply for the in-person workshop in Denver, but are interested in attending virtually, we will accept applications through March 16. Click here to link to virtual application.

Application deadline: Friday, April 3, 2026

The CIML Summer Institute is a three-day institute focused on teaching researchers and students the best practices for effectively running artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications on advanced cyberinfrastructure (CI) and high-performance computing (HPC) systems. Participants will have the opportunity to accelerate their learning process through highly interactive classes with hands-on tutorials using SDSC’s Expanse. A limited amount of travel support is available for this program.

The National Artificial Intelligence Research Resource (NAIRR) pilot is an NSF-led initiative designed to democratize access to AI research by providing U.S. researchers and educators with crucial infrastructure, including computational power, datasets, and training tools.

The CIML Summer Institute introduces artificial intelligence, machine learning, deep learning (AI/ML/DL) and LLM concepts to researchers, developers and educators. We will introduce techniques and methods needed to migrate their AI applications from smaller, locally run resources, such as laptops and workstations, to large-scale HPC systems, such as the SDSC’s Expanse supercomputer. Participants will have the opportunity to accelerate their learning process through highly interactive classes with hands-on tutorials using SDSC’s Expanse.

In addition, the CIML SI broadens participation in AI/ML/DL research by actively recruiting participants from institutions across the United States that have limited or no access to advanced supercomputing or CI resources. This effort will expand the reach of advanced computational infrastructure and build capacity at institutions of all types and sizes. We will balance attendees across multiple scientific disciplines and institutional settings to develop a robust national AI research community, ensuring that advanced cyberinfrastructure training and expertise extend beyond traditional research-intensive institutions.

Additionally, attendees will have opportunities to meet one-on-one with SDSC’s experts to discuss in detail the best techniques to solve their specific AI problems.

 

Prerequisite

• Knowledge or experience with machine learning and AI is required
• Familiarity with UNIX/Linux shell
• Basic programming skills (especially Python) are strongly recommended
• Interest in AI application

Program includes

• Overview of High-Performance Computing (HPC) and Parallel Computing Concepts
• Instructional and hands-on exercises focused on HPC techniques, Machine Learning, Scalable Machine Learning, Deep Learning, and Large Language Model (LLM) inference
• Team works on prepared training problems 

Application submissions do not require a fee. A registration will be charged only after the application has been accepted. If the registration fee would preclude you from attending, please contact us directly. Registration includes meals (light breakfast each day, lunch, and one evening reception). 

Academic, Student, Government and Non-Profit Organizations: $250

Industry: $500

ANNOUNCING THE OSG SCHOOL 2026!

https://osg-htc.org/school-2026/

Could you transform your research with extra computing capacity beyond your laptop or lab computers?  Do you need help managing your research computing workloads with automation?  If you run or support research workloads that can be described by lists of independent computing tasks, we can help!  For example: https://osg-htc.org/services/open_science_pool.html

We are seeking applicants for the OSG School 2026, to be held July 13-17 at the beautiful University of Wisconsin-Madison.  Apply by March 20!  https://osg-htc.org/school-2026/

And consider attending Throughput Computing Week 2026, in-person in Madison or remotely: https://osg-htc.org/htc26

The OSG School teaches you how to use high-throughput computing effectively and get a research workload up and running.  We use lectures, demos, hands- on exercises, personal consulting with OSG experts, and even roleplaying.

Past participants have come from physics, chemistry, engineering, math, bio and life sciences, earth sciences, agricultural and animal sciences, social sciences, economics, medicine, and more.

Ideal candidates are:
* Researchers (especially graduate students and post-docs) for whom large- scale computing is a key part of the research process;
* Research support staff who work with current or potential users of high throughput computing;
* Instructors (at the post-secondary level) who are ready to integrate high throughput computing into their research based curriculum.

We aim to pay all base travel, hotel, and food costs for applicants whom we invite to attend.
This is an in-person event, and we strive to provide a healthy environment for all.

DETAILS
* Application Period (OPEN NOW): 23 February - 20 March 2026
* OSG School: 13-17 June 2026
* Web: https://osg-htc.org/school-2026/
* Email: school@osg-htc.org

The HPC and Data Science Summer Institute is a comprehensive week-long workshop that covers introductory-to-intermediate topics in HPC, data science, and artificial intelligence (AI). It aims to give attendees a thorough overview of these topics to accelerate their learning process through highly interactive classes and hands-on tutorials on the Expanse supercomputer. A limited amount of travel support is available for this program.

The purpose of the Summer Institute is to give the attendees an overview of topics in High Performance Computing and Data Science and accelerate their learning process through highly interactive classes with hands-on tutorials on the Expanse Supercomputer.  Moreover, the attendees will have many opportunities to meet one-on-one with SDSC’s experts to discuss in detail the best techniques to solve their specific scientific problems. In order to benefit from the classes, the attendees are required to have familiarity with the UNIX/Linux shell. Basic programming skills (in any programming language) are strongly recommended.

Participation in the SDSC HPC and Data Science Summer Institute will be limited to 45 candidates. Applicants will be screened to make sure that they have the necessary background to benefit from the institute, and that the applicants have a compelling need for the skills being taught in their research or teaching.

Program highlights

Preparation Day (Virtual – July 23, 2026)

Orientation: Logging into the Expanse Supercomputer, Linux/Unix basics, and running supercomputing jobs.

Summer institute:

Monday & Tuesday Morning - Foundational Skills

Data Management: File systems, compression, checksums, and secure transfer tools (wget, curl).

Batch Job Workflows: Writing Slurm scripts, job scheduling, and troubleshooting submissions.

Parallel Computing Basics: Scalability principles, processes vs threads, resource allocation, and benchmarking.

High-Throughput Computing: Strategies for managing a large number of small jobs for example for large-scale parameter sweeps.

Tuesday afternoon to Friday morning - Advanced techniques:

Parallel Computing using MPI & Open MP: Learn how to leverage all cores in a machine with OpenMP and how to scale your computations across multiple nodes with MPI using C and FORTRAN.

Performance Tuning: Cache optimization, loop-level parallelization, and compiler limitations.

GPU Programming: Understand GPU architecture, learn how to program GPUs with libraries, OpenACC directives and CUDA.

Deep Learning: Covers core neural network concepts and hands-on Keras implementation, progressing to advanced architectures (e.g., deep CNNs, transfer learning) and GPU-accelerated model optimization, with applications in image/speech recognition and biomedical domains.

Python for HPC: Easily speed-up Python on a single machine with numba and then scale a fully distributed workload on a cluster with dask.


See How To Apply for further details and to apply. 

Application Process & Fees

No fee required to apply. Registration fees apply only if your application is accepted:

Academic, Student, Government, & Non-Profit Organizations: $350

Industry Participants: $600