Exploring Artificial Intelligence at UW-Madison
July 14, 9:15 a.m. - 10:00 a.m., Chris Endemann, facilitator with the Data Science Hub, and Xiaojin “Jerry” Zhu, UW–Madison professor of computer sciences, will present this Friday’s Exploring AI @ UW-Madison webinar: From Breakthroughs to Empowerment: UW–Madison’s AI Contributions and Accessibility. Next Friday (June 21), Data Science Institute Affiliate Kaiping Chen, assistant professor of life sciences communications, and Yonatan Mintz, assistant professor of industrial and systems engineering, will speak on AI Ethics and Privacy. Webinars are from 9:15 a.m. -10 a.m, and the Zoom link is available at the event page.
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NeurIPS Registration Opens
December 10-16, Registration for NeurIPS 2023, the Thirty-seventh Conference on Neural Information Processing Systems opens July 16. NeurIPS is a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that provide a less formal setting for the exchange of ideas. Register for the conference at the registration page.
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ML+X Social
July 20, 5:00 p.m. - 6:30 p.m., Need an excuse to visit the terrace? Join ML+X for the community's first summer social at the Memorial Union Terrace! Networking opportunities galore — stop by to meet some of the many machine learning aficionados working here in Madison, discuss current and upcoming projects, and take in the wonderful view of lake Mendota. Please RSVP by the end of this week so ML+X has an idea of how many tables they need to secure.
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Data Science Institute to Establish Campus Open-Source Program Office
The Data Science Institute will establish an Open-Source Program Office (OSPO) on campus, in partnership with Madison College, the Data Science Hub, the UW–Madison Libraries and UW–Madison Extension. This new office will accelerate the translation of academic research to society by providing opportunities to learn about, develop and share open-source software, hardware, data, models and more. UW–Madison is one of six U.S. higher education institutions recently selected by the Alfred P. Sloan Foundation to launch campus OSPOs.
“The goal of the Open-Source Program Office is to catalyze institutional change that will foster open-source community and projects,” says Kyle Cranmer, the David R. Anderson Director of the Data Science Institute. “One of the biggest challenges we face is that UW–Madison is such a large, distributed campus. There are pockets of excellence that have adopted an open-source ethos, and I would love to see that ethos become part of UW–Madison’s DNA.” Read more about OSPO at the news announcement.
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Welcome Maria and Garrett to DSI
The Data Science Institute has been fortunate to welcome two new team members to campus in the past few weeks. Data Scientist Maria Oros, who began working with DSI in June, brings experience working in both industry and academic research, with a background that includes both statistical and algorithmic knowledge. Postdoctoral Research Associate Garrett Mertz’s research focuses on the development of AI for the computation of high-energy physics scattering amplitudes. Read their full profiles on the DSI staff page.
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Data Science Hub Workshops
Coming up are a few workshops from the Data Science Hub. Register today if interested!
August 7-11, 9:00 a.m. - 12:30 p.m., Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. Learn more and register at the event page.
August 14-16, 9:00 a.m. - 12:30 p.m., The High Dimensional Data Analysis workshop enables researchers to find patterns and extract insights from the complex and information-rich data found in high dimensional datasets. In this workshop, participants will explore several tried and true methods that can help data analysts better understand their high dimensional data including: principal component analysis, data visualization, and regularized multivariate regression. Learn more and register at the event page.
August 14-17, 9:00 a.m. - 12:30 p.m., Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific (in this case, Genomics), building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. Learn more and register at the event page.
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mRNA-Seq Data Analysis Workshops
July 12 and July 19, Attend the "mRNA-Seq Data Analysis" workshops, a heavily hands-on workshop on Next-Generation Sequencing (NGS) Data Analysis. Attend the Tuxedo Suite 1 mRNA-Seq workshop on Wednesday July 19 by registering on the event page. Attend the new Tuxedo Suite 2 mRNA-Seq workshop on Wednesday July 12 by registering on the event page.
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Machine Learning Potentials - StAtus and FuturE (MLP-SAFE)
July 17-19, 10:00 a.m. - 2:00 p.m., The virtual workshop "Machine Learning Potentials - StAtus and FuturE (MLP-SAFE)" focusing on machine learning potentials (MLPs), a disruptive new technology in molecular science. This free workshop will provide an outstanding opportunity to lean about key advancements and opportunities in MLPs from the leaders in the field. Learn more and register at the event page.
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Machine Learning for Materials Bootcamp 2023
July 18-19, 29, 11:00 a.m. - 2:00 p.m., The Network for Undergraduate Machine Learning Based Research (NUMBR) community is hosting their Machine Learning for Materials Bootcamp where they will introduce key tools and skills for working for building machine learning models with materials science data. The boot-camp is targeted at new or potential researchers with a focus on undergraduate researchers who want to build skills related to machine learning research. The boot-camp is free, remote, and open to everyone. If you cannot make it to this one, but still want to attend, they have another boot-camp from August 15-17. Learn more and register at their website.
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Next Generation Data Analysis Workshops Summer 2023
June - July, 9:30 a.m. to 4:30 p.m., The Bioinformatics Resource Core (BRC) at the UW Biotechnology Center (UWBC) is offering heavily hands-on workshops on Next-Generation Sequencing (NGS) Data Analysis skills. To learn more about the summer workshops and to register, view the links in the following schedule:
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Have questions about anything data science-related? Come see the Data Science Hub facilitators at Coding Meetup on Tuesdays and Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join data-science-hubgroup.slack.com.
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posit:conf(2023)
September 17-20, Posit is hosting their post:conf(2023), a virtual experience that brings together R and Python industry leaders, experts, and enthusiasts from around the world. Learn more about this experience including the talk schedule, fees, and how to register at the event webpage.
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SILO: Funny or Die AI: Is The New Yorker Caption Contest the Hill LLM's Want to Die On?
July 12, 4:00 p.m.*, Orchard View Room, Discovery Building, Bob Mankoff, former cartoon editor of The New Yorker, creator of The New Yorker Caption Contest, and noted AI dilettante, will give a summer Silo lecture entitled "Funny or Die AI: Is The New Yorker Caption Contest the Hill LLM's Want to Die On?”.
Mankoff is a co-author of “Do Androids Laugh at Electric Sheep. Humor “Understanding” Benchmarks from The New Yorker Caption Contest, a peer-reviewed paper nominated for an award at the ACL conference held in July. The paper would not have been possible without the data from The New Yorker Caption Dataset and the Next ML system.
*this event was rescheduled
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Summer SILO Series
Thursdays, Join the Systems Information Learning Optimization (SILO) group every Thursday at the Memorial Union at 3:00 p.m. for guest speakers. Previous topics include Partial Optimality in Cubic Correlation Clustering and Challenges and Progress towards Socially Responsible NLP. Both virtual and in-person options available. For more information visit the SILO website and mailing list.
July 13, 4:00 p.m., Memorial Union, Hear from Fred Sala on "How to Aggregate Your Large Language Model Objects." The abstract for the talk is: "One exciting aspect of large pretrained models is that it is easy to obtain multiple observations by repeatedly querying: vary your prompt, ask the model to think 'step-by-step' in a few different ways, etc. The resulting objects can be diverse: predictions, generated outputs, 'thoughts' and thought chains, trees, etc. How do we aggregate these reliably? I'll describe a set of technical approaches that enable us to do so based on our work in weak supervision."
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ComBEE
ComBEE @ UW-Madison is back! ComBEE is a group of researchers at UW-Madison interested in computational biology in ecology and evolution. They focus on skill sharing between friends and colleagues, co-working on coding projects, and community building between people in their respective fields, organizations, and communities. The community hosts bi-weekly rotating study groups (see below) and monthly seminars. Learn more at their website or join their listserv to hear about events. Study Groups
- R Study Group:
- When: 9am, Wednesdays bi-weekly starting July 12th (7/12, 7/26, 8/9, ...)
- Where: 1153/1154 Discovery Building. (The conference room is in Hub Central on the first floor west side facing The Library Bar Café and Randall Street.)
- Python Study Group:
- When: 1pm, Tuesdays bi-weekly starting July 18th (7/18, 8/1, 8/15, ...)
- Where: 1153/1154 Discovery Building. (The conference room is in Hub Central on the first floor west side facing The Library Bar Café and Randall Street.)
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Madison Area Software Developers Group Meetup
July 20, 6:00 p.m., Come to The Great Dane on E Doty St and share your experiences as a software developer in the Madison area! The Madison Area Software Developers Meetup Group strive to keep developers informed about the constantly changing technologies necessary to succeed and innovate. The group is committed to lifelong learning, bridging the education gap between college and industry, and networking within the Madison area. If interested, indicate you are attending on the event's Meetup page.
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The Carpentries is seeking new members to bring additional diversity and expertise into its instructional community. Among other benefits, members have opportunities to advance their technical and teaching skills by attending computational workshops and participating in an optional instructor training program. Join the google group if interested in learning more!
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Data Scientist
Due July 27, The Betthauser Neuroimaging Lab is seeking a highly motivated individual to join our rapidly growing team as a Data Scientist to support a 5-year federally-funded R01 project examining multi-cohort factors that influence Alzheimer's disease biomarker and dementia timing using existing data. This data scientist will work directly with Dr. Terry Betthauser, staff, and students, and will play an integral role in intaking, organizing, and curating mid- to large (2,000-10,000 participants) multi-cohort datasets containing a variety of variables (e.g., imaging and fluid biomarkers, cognitive assessments, demographics, and associated data) to facilitate aging and dementia research in the Betthauser Lab. Learn more about the position from its job posting.
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DATA VISUALIZATION OF THE WEEK
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Reposted from the ADSA Data Science Community Newsletter
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A visualization of the continental United States population in 2022 with over 332 million people by Milos Popovic using the R Rayshader package.
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Data Science Updates is a collaborative effort of the Data Science Institute and Data Science Hub.
Use our submission form to send us your news, events, opportunities and data visualizations for future issues.
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