The Better Scientific Software (BSSw) Fellowship Program recognizes and promotes leaders and advocates of high-quality software who foster practices, processes, and tools that help to improve scientific productivity and software sustainability. Each selected 2025 BSSw Fellow will receive up to $25,000 for an activity that promotes better scientific software. The deadline for apps is Sept. 30. Find out more here: https://bssw.io/pages/bssw-fellowship-program
Fall ’24 workshops on Python, R, Statistics Software, etc.
We are continuing with our workshop series covering topics like Python, R, Statistics Software, Unity HPC and more, coordinated with the URI AI Lab. You can find the detailed schedule here:
URI Events Page for AI Lab: https://events.uri.edu/group/ai
Google Doc: https://docs.google.com/spreadsheets/d/1z5g_c6HFxm2D0UYNpBvxGPKbJn8F1s3h2QOFaYfOzag
Or check out each individual workshop at these links
Python: https://events.uri.edu/event/ai-lab-workshops-python
Unity: https://events.uri.edu/event/ai-lab-workshops-unityosn
Tableau: https://events.uri.edu/event/ai-lab-workshops-tableau-series
AI Tools: https://events.uri.edu/event/ai-lab-workshops-ai-tools
Generative AI: https://events.uri.edu/event/ai-lab-workshops-generative-ai
Bioinformatics: https://events.uri.edu/event/ai-lab-workshops-bioinformatics
SPSS/SAS: https://events.uri.edu/event/ai-lab-workshops-spsssas
R: https://events.uri.edu/event/ai-lab-workshops-r-series
Data Science: https://events.uri.edu/event/ai-lab-workshops-data-science
ML/DL: https://events.uri.edu/event/ai-lab-workshops-machine-learning-deep-learning
GitHub: https://events.uri.edu/event/ai-lab-workshops-github
R, Python, SAS, SPSS, Unity, Bioinformatics and more workshop recordings available!
Our workshop program for the semester has wrapped up. Here you can find the recordings of all the workshops we ran including R, SAS, SPSS, Python, Bioinformatics, Unity and others: http://its.uri.edu/research-training
PEARC and IEEE HPEC Conferences
Two computational research conferences coming up in the next few months:
1. PEARC’24 in Providence: The national PEARC Conference series 2024 conference will be in Providence in late July. This is a wonderful opportunity for your students to present their computational research as a poster or a short paper. The deadline is April 26th is approaching quickly! This is a unique opportunity for URI this year, since it is so close!
2. IEEE HPEC (virtual): HPEC is the largest computing conference in New England; I encourage you and your students to consider attending and submitting a paper. There are special events on LLMs this cycle. Deadline for submission is July 7th. More info here: https://ieee-hpec.org
AI – Big Data Forum
AI – Big Data Forum
Monday, April 1, 2024
12 – 1 p.m. EST
Robert L. Carothers Library & Learning Commons
Galanti Lounge (Third Floor)
Join us for the third AI-Big Data Forum at URI. This strategic initiative aims to create real-world opportunities for interdisciplinary research employing data science, AI, and machine learning. The event is an ideal platform for researchers to network and find potential collaborators to analyze their data. Attendees can also share previous research outcomes, pilot studies, and awards.
This semester’s theme is “Where Are We and Where We Are Going?” Guest speakers will feature Joan Peckham, Ph.D. – Professor Emeritus, Computer Science, as well as Anne Veeger – Vice Provost for Academic and Faculty Initiatives. Panel discussion to follow.
AI Fireside Chat on Bioinformatics — Feb 1st
Professor Drew Zhang from the College of Business and the CCR are working together to continue the Fireside Chats that we started last semester. The first one this semester will be as follows. I hope that you will join us. We promise short presentations with plenty of time for questions and discussion.
Thursday February 1, 2024 – 12:30—1:30 Chris Hemme, Assistant Research Professor, Pharmacy
Large Conference Room in the Administrative Area of the Library on the Second Floor
Title: The Changing Paradigm of Bioinformatics: Cloud Computing, Machine Learning, and Multiomics
Abstract: The nature of biological data science is changing on a scale we haven’t seen since the sequencing of the Human Genome in the 1990’s. With advances in experimental and computing technologies, we are now in the age of single-cell spatial multiomics analyses coupled to machine learning algorithms performed in cloud computing environments. Experimentalists willing to embrace these technologies and data scientists willing to apply their skills to biological problems will be at a competitive advantage for jobs and research funding.
Spring ’24 semester workshops: Python, R, SAS, SPSS, Unity and more
Our Research Computing / AI Lab Spring ’24 semester workshop program can be found now on the URI Events Calendar: https://events.uri.edu/group/ai/calendar/
More specifically:
Data Science – https://events.uri.edu/event/ai_lab_workshops_-_data_science
GitHub – https://events.uri.edu/event/ai_lab_workshops_-_github
Bioinformatics – https://events.uri.edu/event/ai_lab_workshops_-_bioinformatics
R – https://events.uri.edu/event/ai_lab_workshops_-_r_series
SAS/SPSS – https://events.uri.edu/event/ai_lab_workshops_-_spsssas
Unity – https://events.uri.edu/event/ai_lab_workshops_-_unityosn
Or you can also find a full list with dates/times and Zoom links here:
https://docs.google.com/spreadsheets/d/1G8YcDSoRR0SMKi4lQL1V3mY4IGX2mec-TwsfTCFzcdI/edit?usp=sharing
Major AI Event: Keynote by Dr. Ruha Benjamin from Princeton
Recent training videos: Unity HPC
URI Panel in the MGHPCC Booth at Supercomputing ’23 Conference
The MGHPCC will be showcasing several computational projects from URI at their Booth in the large Supercomputing ’23 Conference in Denver next month.
The details can be seen at the virtual booth here: https://sc23.mghpcc.org/new-affiliates/