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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.
June 19, 2024
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Faces of Data Science: Juan Caicedo
Juan Caicedo uses computer vision and machine learning to study biological images generated under microscopes. Traditionally, these images were used for qualitative analysis of cellular structures. Juan aims to quantify cellular imaging data, using computation to surpass the limitations of human vision. His goal is to understand the principles of cellular organization. Learn more about Juan and his work in Faces of Data Science.
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A WALL-E Reality? Sustain UW Podcast Explores AI and Sustainability
The 2008 film WALL-E explores the connection between technology, AI and sustainability. The Sustain UW podcast team spoke with Data Science Institute Director Kyle Cranmer about how AI can be used to enhance the UW–Madison sustainability goals. They also talked with DSI Affiliate Kaiping Chen about humans’ relationships with technology. Listen to this podcast.
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Join the 2024 Machine Learning Marathon!
The ML+X community is thrilled to announce the return of its annual hackathon event — the 2024 Machine Learning Marathon! Running from July 25 to October 10, this 12-week marathon offers an opportunity for machine learning practitioners of all skill levels to collaborate, learn, and innovate on real-world datasets through various projects hosted on Kaggle. Many of the projects reflect similar datasets and problems faced by researchers here at UW-Madison!
Participants will form small teams of 2-5 members, dedicating at least 3 hours/week to complete their chosen challenge, with the potential to win prizes. Weekly "sprint" events will facilitate knowledge exchange and discussion on ML tools and strategies. Additionally, ML experts are invited to join as advisors. To learn more and register by 7/18, visit the 2024 Machine Learning Marathon webpage.
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Thank you, Cole!
Thanks to Cole Navin! Cole has led the compilation of this newsletter for the last year. He graduated with a master’s degree in Accountancy this spring and is moving on to a new job as an accountant. We really appreciate all the work Cole has done for the Data Science Hub. He has worked on numerous projects including drafting a new website, creating a program for badges, numerous tasks for the Research Bazaar, creating email scripts for the workshops, creating the 2023 annual report, and many more. We will miss you, Cole, and best wishes at your new job!
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Data Science Shout-Outs
Several members of the campus data science community were recently honored with awards: Briana Burton (Bacteriology) received the CALS Atwood Faculty Fellow Award, Matthias Katzfuss (Statistics) was named a 2024 Fellow of the American Statistical Association, and Hantang Qin (Industrial and Systems Engineering) received the 2024 Outstanding Young Investigator Award from the IISE Manufacturing and Design Division. DSI Director Kyle Cranmer’s research was highlighted in a recent report from the President’s Council of Advisors on Science and Technology that provides recommendations about responsibly harnessing the power of AI to accelerate scientific discovery in the U.S.
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SSCC Workshops
The Social Science Computing Cooperative (SSCC) is hosting a variety of workshops this month. Topics, dates & times, locations, and event links are below. Introductory workshops are designed to be taken before and in conjunction with the Data Wrangling workshops. Learn more about the SSCC at their website.
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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 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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Approaching Deadlines for Throughput Computing 2024
July 8-12, Throughput Computing 2024 (HTC 24) — which brings together researchers, campuses, science collaborations, facilitators, administrators, government representatives, and professionals interested in high throughput computing — in beautiful Madison, Wisconsin, is just seven weeks away — July 8–12.
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Applied Algebra Seminar
July 1, 11:00 a.m.; 901 Van Vleck Hall, Though many programs are on pause for the summer, the Applied Algebra Seminar continues! Join the group in hosting Julia Lindberg in her talk. Future topics include decomposable graphical models, coupled cluster theory, and PCA in data science. For more information about the weekly seminar, visit the seminar's website.
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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.
Feel free to contact endemann@wisc.edu if you have any questions or require additional information.
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PROFESSIONAL
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Professor of Information Sciences
Apply by July 15 – The Information School at the University of Wisconsin-Madison is seeking candidates for up to two tenured positions in Information Sciences at the Associate or Full Professor level. These nine-month, tenure-track appointments will begin in August 2024.
Job Summary
This role involves teaching, research, and service responsibilities. Areas of interest include natural language processing, computational social sciences, policy analysis of information security, ML/AI and the future of work, and information technologies for children or the elderly.
Requirements
- PhD in Information Science or a related field by the start of the appointment
- Outstanding research record
- Excellence in teaching
- Success in securing extramural funding
Responsibilities
- Conduct scholarly research resulting in high-quality publications
- Acquire external funding for research and graduate students
- Teach undergraduate and graduate courses (both online and in person)
- Advise master's and PhD students
- Contribute to departmental, university, and professional service
Read the full position description and apply at the job posting on the Jobs at UW portal.
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STUDENT
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WIDA Assessment - Graduate Student Research Assistant
Apply by July 3 - The Wisconsin Center for Education Research, housed in the School of Education, is seeking a graduate student research assistant for the 2024-25 school year. This department focuses on academic achievement for a diversity of students, and is in search of a student to help conduct research and organize collected data.
Requirements
- Data management skills
- Experience with STATA or R
- Current graduate student at UW majoring in statistics, economics, or related field
Position Summary
- 20 hours/week, partially remote
- Fall 2024 to May 2025
- Manage large data sets and support research
Read the full position description and apply at the job posting on the student jobs website.
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DATA VISUALIZATION OF THE WEEK
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How Cutting-Edge Computer Chips are Speeding Up the AI Revolution ( paper) Cornell University. Dan Garisto. Nature. 4 June 2024.
Though CPU speed has increased significantly over the past decades, current growth has been stagnant, leaving an opening for the GPU. Now, engineers are focused on using GPU potential to artificial intelligence.
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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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