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Data Science Updates is the University of Wisconsin-Madison's resource for news, training, events, and professional opportunities in data science, brought to you by the Data Science Institute, powered by American Family Insurance, and the Data Science Hub.
October 2, 2024
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MadPrompts Returns to UW–Madison
MadPrompts is back! On October 16 at 6 p.m., the Discovery Building will buzz with creativity and innovation as the Wisconsin Alumni Research Foundation and the UW-Madison Data Science Institute host our second generative AI prompt battle. Picture a game show-style extravaganza where UW-Madison contestants race against the clock to create winning images. The challenge? Impress the judges and audience alike with their originality, humor, and creativity.
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Learn About Julia at Statistics Workshop Series
Join the Statistics Department for the Julia Workshop for Statistics Research, Thursdays 12-1pm through October 24. This workshop will highlight the main features that make Julia an attractive option for data science programmers with experience in R and/or Python. No knowledge of Julia is required. Topics will include examples of Julia projects by faculty in the Statistics Department, modern Julia workflows, tidier, positron, quarto, and more. Refreshments are provided by the UW-Madison Open Source Program Office. Learn more about the Julia Workshop Series.
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Help Plan the 2025 Data Science Research Bazaar!
The Data Science Research Bazaar is an annual conference building community around computing across campus and Madison (see past events). Planning for the 2025 Data Science Research Bazaar is starting, and we'd love your help! This year's event will be held on March 19-20, 2025, and will have a theme related to AI/ML, while still welcoming contributions from all other areas of data science / applied computational work. Students and researchers outside computer sciences are especially encouraged to participate. The planning committee should reflect the different areas of campus, Madison, and applications of computing. Would you be interested in bringing your perspective to our committee? Meetings will take place roughly fortnightly leading up the event. Please fill out the volunteer form by 10/7 if you are interested in helping plan the 2025 Data Science Research Bazaar.
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Amazon SageMaker Immersion Day: Train and Tune Models in the Cloud
As part of the ML+X community's annual hackathon, we’re excited to offer a free AWS SageMaker Immersion Day session on October 23, 9:30-11:30 a.m. (1240 CS + Zoom), which is now open to the broader UW community. This session is tailored for researchers and machine learning (ML) practitioners interested in exploring cloud tools that simplify and accelerate the process of building, training, and deploying models. It guides you in migrating your existing ML model through a 'Lift-and-Shift' process, enabling you to move your on-premise ML workloads to the Amazon SageMaker platform. It also includes advanced topics like Model Debugging, Model Monitoring and AutoML, and provides guidance to evaluate your ML workload through AWS ML Well-Architect Lens. Learn more and register for AWS Immersion Day by 10/18.
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Research Cyberinfrastructure Virtual Office Hours
October 7, 1:00 p.m. - 2:00 p.m.; Zoom. Join DoIT's Research Cyberinfrastructure during their weekly office hours to ask any questions you have regarding cyberinfrastructure. The team specializes in cloud computing, LabArchives, ResearchDrive, and related secure platforms. For more information and access to the Zoom link, visit the office hours calendar listing.
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Registration for Mini-Workshop Series
Registration is open for the Data Science Hub's Fall 2024 Mini-Workshop Series. The Mini-Workshop Series are one-to-two day workshops throughout the Fall covering a range of topics listed below. All workshops take place online from 9am-1pm. Register for any and all that you are interested in. Tickets close the Friday before each mini-workshop. To learn more and register, visit the mini-workshop event page.
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| Topic |
Date & Time |
Location |
| Intro to Docker |
October 23-24
9:00 a.m. - 1:00 p.m. |
Zoom |
| Interactive Data Visualizations in Python and Streamlit |
November 6
9:00 a.m. - 1:00 p.m. |
Zoom |
| Intro to Machine Learning with Sklearn |
November 20-21
9:00 a.m. - 1:00 p.m. |
Zoom |
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Workshop Series: Python and R Programming Languages for Data Analysis
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Library Micro-Courses
Online, Asynchronous
The UW Library system offers online, asynchronous micro-courses that cover topics often not taught in classrooms. Current courses discuss intellectual property, responsible data planning, patents, grants, data management, and social justice. These courses are short, interactive and available to be completed at your own pace. For more information and access to the full course list, visit the library micro-course website.
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Have questions about anything data science-related? Come see the Data Science Hub facilitators at Coding Meetup on Thursdays from 2:30-4:30 p.m. CT. To join Coding Meetup, join data-science-hubgroup.slack.com
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Breaking into Consulting
October 4, 3:00 p.m. - 5:00 p.m.; Grainger 1310. On Friday, the Wisconsin Consulting Club and Undergraduate Business Council will be hosting Breaking into Consulting. Breaking Into Consulting (BIC) is a panel-style Q&A event, featuring UW alumni that have worked in management consulting. Representing a variety of firms and levels of experience, these former Badgers provide students with a better idea of what a career in consulting entails.
Dress code is business casual, and the link to register can be found in Handshake.
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Celebrating Latinx Voices in STEAM
October 9, 4:00 - 7:00 p.m.; Discovery Building. Join us for the second annual Celebrating Latinx Voices in STEAM Symposium. We will be hosting Christie Tirado as the keynote speaker, as well as an hour of lightning research presentations from many members of the UW-Madison community. The talks are followed by a networking and conversation opportunity complete with Latin music and dancing. For more information, visit the Celebrating Latinx Voices In STEAM event page.
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Machine Learning for Medical Imaging Seminar Series
October 14, 10:00 a.m.; WIMR 2409 + Zoom. Please join us for our next installment of the ML4MI Seminar Series, with a talk from our own Dr. Anoop Mayampurath, Assistant Professor of Biostatistics and Medical Informatics and Coleader of the ICU Data Science Lab at UW-Madison!
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ML+X Forum: Enhancing LLMs with Additional Test-Time Compute
October 8, 12:00 p.m. - 1:00 p.m.; Orchard View, Discovery Building + Zoom. Join the ML+X community to explore how test-time compute can help optimize large language models (LLMs) and even replace the need for scaling to larger models (details below). Register by 10/6 (lunch provided) to guarantee your lunch ticket and join the discussion!
We will begin with a 15-20 minute overview of the paper "Scaling LLM Test-Time Compute Optimally Can Be More Effective than Scaling Model Parameters" by Charlie Snell et al. The paper discusses how using more compute during inference—such as running multiple iterations or exploring various answers—can enhance model performance without increasing its size. By leveraging additional compute resources at test time, rather than during training, this approach can significantly improve accuracy and efficiency. After the summary, we will follow up with communal discussions on the practical implications of these techniques for ML projects, and how this method could enhance model deployment, particularly in resource-constrained scenarios.
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ML+Coffee: How Can I Apply Machine Learning to My Data?
October 9, 9:00 a.m. - 11:00 a.m.; Rm. 1145, Discovery Building. ML+Coffee offers a casual and social atmosphere where machine learning (ML) practitioners can problem-solve with one another, network, and enjoy some free caffeinated beverages. Researchers and students with who are new to ML are especially encouraged to join and seek help on their projects. Register for ML+Coffee.
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Help Build Community Around Applied Machine Learning
The ML+X community is seeking additional members to join its leadership team! Members of the leadership team will have the opportunity to help grow and sustain a lively and engaged machine learning (ML) community of practice, ensuring that practitioners across campus have ample opportunities to discuss modeling challenges, learn from one another, and support each other’s work. Anyone who is passionate about ML and communal learning (including students!) is welcome to join the leadership team.
— No minimum experience in ML is required. We are particularly seeking increasing representation from the Digital Humanities, Psychology, Math, Political Science, Chemistry, and more. If interested, please fill out the ML+X leadership application form. Contact endemann@wisc.edu if you have any questions or require additional information.
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PROFESSIONAL
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Research Computing Facilitator
Apply by October 15 – The Center for High Throughput Computing at UW is searching for a Facilitator to join the Research Computing Facilitation team. This group assists researchers in using large-scale computation systems, including in-house CHTC clusters. The role involves consultation, problem-solving, and technical expertise to improve user experience.
Requirements
- Bachelor's or Master's degree
- Experience in a research environment, including familiarity with multiple program languages
- Preferred experience in communication, teaching, or software development
Responsibilities
- Assist researchers in their use of CI systems and tools
- Help with design and debugging of projects
- Contribute to the development of training programs and workshops
Read the full position description and apply at the job posting on the Jobs at UW portal.
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DATA VISUALIZATION OF THE WEEK
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Online presence of research articles 2011-2020. ( site) Elenora Alabrese, Francesco Capozza, Prashant Garg. From Politicized Scientists: Credibility Cost of Political Expression on Twitter. Social Science Research Network (SSRN) pre-print.
With social media increase rising rapidly over the past 20 years, it's fascinating to see the impacts on scientific literacy and spread of information. These plots visualize the popularity of research papers (measured by amounts of mentions) per social news site. Specifically, users of Twitter (now known as X) mentioned significantly more research articles.
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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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