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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.
August 15, 2024
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Unleash Your Creativity: Apply for MadPrompts Competitions
New this year, we're introducing a video competition that extends beyond campus, inviting the greater community to explore the power of generative AI in creating dynamic visual stories. The top entries will be featured at the event. Applications for the video competition are due September 1.
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Join the 2024 Machine Learning Marathon!
In collaboration with MadAI and the Open Source Program Office, the ML+X community is thrilled to announce the return of its annual hackathon event — the 2024 Machine Learning Marathon! Running from September 12 to December 12, this 12-week marathon offers an opportunity for both beginner and expert machine learning practitioners 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. To learn more and register by 9/10, visit the 2024 Machine Learning Marathon webpage.
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Faces of Data Science: Taylor Odle
Children develop their career aspirations early in life, and their aspirations mirror our unequal world. When students and families don’t see people who look like them go to college or work in fields like science and technology, and when the educational institutions they attend don’t encourage them to take steps toward those futures, inequalities are reproduced. Taylor Odle, Assistant Professor of Educational Policy Studies, harnesses data science to provide institutions and policy makers with evidence to make informed decisions and break recurring cycles of inequality. Learn about his work in Faces of Data Science.
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Diakonikolas and Zhu Receive OVCR Awards
Two professors in the Computer Sciences Department were recently honored with fellowships from the Office of the Vice Chancellor for Research. DSI Affiliate Ilias Diakonikolas, who was awarded the H.I. Romnes Fellowship, studies the algorithmic foundations of massive data sets and designs efficient algorithms for fundamental problems in machine learning. Jerry Zhu, who received the Kellett Mid-Career Award, conducts basic research in machine learning, specifically semi-supervised learning, adversarial machine learning, reinforcement learning, and game theory. Learn more about these awards here. Congratulations!
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Exploring AI in Teaching: A Step-By-Step Approach to Planning AI in Your Course
Aug 22, 10:30 a.m. - 12:00 p.m.; Memorial Union. The goal of this workshop is to explain ways to incorporate AI tools into coursework. If you are a teacher who has been interested in the intersection between AI and education, but not sure where to begin, this workshop is for you! The August 22nd course is in-person with light refreshments served. Check the T.I.T.U. board for the specific room at the Union. There is also a Zoom workshop available the following day. For both classes, pre-registration is necessary.
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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 the SSCC 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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Forward Fest Starts Next Week
August 19 - 23, Multiple locations + Zoom. Forward Fest is Wisconsin’s largest technology and entrepreneurship festival. Held Aug. 19 to 23, it brings technology and startup communities together to learn and share, providing the opportunity to interact with professionals across a wide range of disciplines. With over 50 events scheduled, many of which are hosted by members and partners of the UW–Madison Innovate Network, there are plenty of opportunities to engage. Plus, many of the sessions are free to attend! Check out the 2024 Forward Fest schedule (free events in blue) and visit the Forward Fest website to learn more.
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Summer SILO Seminar
August 29, 12:30 p.m.; Discovery Building, Orchard View. Come join UW-Madison SILO for their weekly seminar series on topics related to systems, information, learning, and optimization! This week the topic is to be determined, but previous topics include Gaussian process models, tensor decompositions, and high dimensional statistics. If you can't make it this week, check back again, as this group meets nearly every Wednesday at 4:00 p.m. at the Memorial Union. For more information about SILO and to join their email list, visit the SILO website.
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ML+X Forum: Machine Learning Beyond Traditional CS Fields
September 10, 12:00 p.m.; Zoom + Discovery Building, Orchard View. The ML+X community's monthly forum returns starting September 10th! Each forum highlights two machine learning (ML) applications that share a method or domain theme followed by communal discussions and project feedback. Join the ML+X Google group to receive a calendar invite (with Zoom link) and other updates. Please email facilitator@datascience.wisc.edu if you have any trouble joining (must be signed in to Google account).
Sign up to present! All fields and experience levels welcome!
Want to get feedback on your machine learning (ML) project or proposal and connect with practitioners using the same models/methods as you? Sign up to present at the monthly ML+X forum this fall! If you are working in the social sciences, humanities, education, ecology, or any field outside of the typical CS-related work, you are especially encourage you to present your work! The ML+X community welcomes all backgrounds and experience levels. Let us provide you with the resources needed to succeed in your ML endeavors.
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ML+Coffee: How Can I Apply Machine Learning to My Data?
September 11, 9:00 a.m. - 11:00 a.m.; Rm. 1145, Discovery Building. As part of the ML+X community's monthly ML+Coffee event, researchers and students with little or no background in machine learning (ML) are invited to join and ask how ML can be applied in their domain of work. ML+Coffee offers a casual and social atmosphere where ML practitioners can problem-solve with one another. If interested, please contact the ML+X leadership team with a short description of the problem and dataset. For additional context, check out some of the previous projects discussed at 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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WIDA Data Integration Analyst
Apply by August 20 – The UW School of Education is seeking a positive individual to assist in managing data synchronization between different WIDA core systems, including Salesforce CRM, Canvas LMS, and Eloqua. This position is full time and can be remote or in person.
Requirements
- Bachelor's or graduate degree in data science, statistics, or related field
- Experience with data integrations and related tools, as well as writing SQL queries
- Interest in education and childhood language development
Responsibilities
- Perform cleaning, quality control, and integration of large data sets
- Create and recommend various data synchronization strategies
- Work on a team of driven individuals
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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WID Administrative Student Assistant
Apply by October 1 - The Data Science Hub, housed in the Wisconsin Institute for Discovery, is searching for a student assistant to help with administrative tasks. Position includes campus errands, assisting with events, and collaborating on the biweekly Data Science Updates newsletter.
Requirements
- Be adaptable, organized, and willing to grow in the role
- Current undergraduate student at UW majoring in data science, computer science, or related field
Position Summary
- Up to 15 hours/week, remote and in-person
- $15 per hour
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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Long-Term Health Effects of COVID-19 ( paper) Washington University School of Medicine.
After contracting COVID-19, it is likely that you'll experience symptoms similar to the common cold or flu. But how can the virus affect your body years later? This visualization explores the different areas of the body that the COVID-19 virus is believed to affect in the long term, along with what symptoms may come with "long COVID."
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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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