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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.
May 15, 2024
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Congratulations, Data Science Graduates!
On Saturday, May 11, 569 UW–Madison data science students became alumni. These students completed the following programs: 334 undergraduate data science majors, 182 data science certificates, and 53 data science master’s degrees, including the first cohort of students in the MS Data Science program.
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Song Gao Receives AAG Fellows Award
Congratulations to UW-Madison Department of Geography Professor Song Gao, who received the American Association of Geographers (AAG) Fellows Award this spring. Gao is one of seventeen geographers worldwide to receive this honor. Among his many accomplishments, AAG noted Gao’s involvement with cutting-edge data science and AI techniques.
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Let us Know Your Statistical Consulting Needs
Do you need statistical help with your research? Have you struggled to find stats help on campus? The statistics department, Data Science Institute, and Data Science Hub are gauging interest in statistical consulting and assessing unmet needs across the campus research community. Principal investigators, please tell us about your group's interest in future consulting or collaboration by taking a 3-minute survey and forwarding the survey link to colleagues.
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Nine Projects Awarded Funding Through Research Partnership with American Family Insurance
Nine UW–Madison data science research projects with applications to both the insurance industry and society have been selected for funding through the American Family Funding Initiative. The research topics range from assessing wildfire risk to reducing the computational costs of extreme weather prediction and auditing large language models for bias and fairness. Through a unique sponsored research partnership, American Family Insurance has committed $10 million over 10 years for UW–Madison research with potential to fuel discovery in data science.
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Summer Schedule for Data Science Updates
Data Science Updates is shifting to monthly publication during the summer. You’ll see our next issue on June 12. Our publication schedule is available on the data science @ uw website. We’ll resume biweekly publication in September.
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Amazon Bedrock Workshop-- Learn to Leverage AI Foundation Models
May 20, 8:30 a.m. - 12:00 p.m.; Online (Zoom)
Description: This workshop gives you hands-on experience leveraging foundation models (FMs) through Amazon Bedrock. Amazon Bedrock is a fully managed service that provides access to FMs from 3rd party providers and Amazon; available via an Application Programming Interface (API). With Bedrock, you can choose from various models to find the one best suited for your use case.
Prerequisites: Bring a laptop but Amazon Web Services (AWS) will provide AWS Accounts. You will use Jupyter notebooks within the provided AWS Account but no prior technical knowledge is required to complete the workshop and the labs.
Register: Learn more about the workshop, including the agenda and workshop contents, and register here.
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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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Intro to Deep Learning with Keras
May 29-31, 8:30 a.m. - 12:30 p.m.; Orchard View Room, Discovery Building
Description: The use of deep learning has seen a sharp increase of popularity and applicability over the last decade. While deep learning can be a useful tool for researchers from a wide range of domains, taking the first steps in the world of deep learning can be somewhat intimidating. This introduction aims to cover the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We will focus on the Keras framework for this workshop — an excellent choice for those that don't want to write 300 lines of code to fit a single neural network model. The concepts will apply across all deep learning frameworks. Next year, we will teach a similar lesson using the PyTorch framework. Preview the lesson materials for more information on what topics will be covered.
Prerequisites: Learners are expected to know Python (how to create functions, for loops, conditional logic, and use the pandas library, etc.) and machine learning fundamentals (overfitting and underfitting, common evaluation metrics, common use-cases).
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Geospatial Data Carpentry
June 3-6, 1:00 p.m. - 5:00 p.m.; Room 115, Ingraham Hall
Description: The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. Preview the lesson materials (under schedule) for more information on what topics will be covered.
Prerequisites: This lesson assumes you have some knowledge of R. If you have not used R, or want a refresher, review the Introduction to R for Geospatial Data lesson. You can follow along with this prerequisite lesson via this recorded video series.
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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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HTC 24: Connect with the High Throughput Computing Community
July 8-12, University of Wisconsin-Madison, You are invited to the second annual Throughput Computing event (HTC 24) from July 8-12 to be held in beautiful Madison, Wisconsin. HTC 24 brings together researchers, campuses, science collaborations, facilitators, administrators, government representatives, and professionals interested in high throughput computing to:
- Engage with the throughput computing community, including the OSG Consortium, and the HTCondor, PATh, and Pelican teams and many others contributing to HTC
- Be inspired by presentations and conversations with community leaders and contributors sharing common interests
- Learn about HTC and new developments to advance your science, your collaboration, or your campus
Connect with CC* Campuses and OSG Staff
CC* campuses (current and potential) will have the opportunity to build connections and to advance their technical know-how at the dedicated CC* track held Wednesday, July 10th. These sessions will bring together campus staff, including staff involved directly with HTC technology, with the OSG Consortium staff. The goal is to engage with and to learn from each other to improve the experience of providing or utilizing capacity and to advance scientific research on your own campus and across the nation.
Speaking Opportunities
Lightning Showcases will be introduced from the community on Tuesday, July 9. Come and give a lightning talk about your project, tool, or activities around HTC. To keep the session relaxed and informal, there will be opportunities for signing up for a slot on the first day of the workshop. We also encourage you to consider a more formal talk. Technical presentations at HTC 24 are short, typically 20 minutes in length. Applying merely requires a brief abstract submission.
Registration
Registration Is Open! Visit the event site for registration information. Registration is required for attendees, even if you plan to attend remotely only. Registration for in-person attendance will cost $125 per day; there is no fee for registration for virtual attendance.
Questions and Resources
HTC 24 is sponsored by the OSG Consortium, the HTCondor team, and the UW-Madison Center for High Throughput Computing. For questions about attending, speaking, accommodations, and other concerns please contact the Partnership to Advance Throughput Computing htc@path-cc.io.
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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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Student Help - Healthcare Technology Developer
Apply by May 20 - The School of Medicine & Public Health's Medical Physics Department is seeking a Healthcare Technology Developer to assist in developing clinical decision support software. This role involves creating applications that interface with healthcare providers, focusing on patient survival and quality of life.
Requirements
- Available for 40 hours/week in Summer 2024 (20+ hours onsite)
- Current student in the greater Madison area
- Strong desire to learn
- Interest in entrepreneurship and startups
- Working knowledge of Typescript (React), Python, and Databases
Position Summary
- Develop a front-end application communicating with backend Python scripts and MongoDB databases
- Gain experience in tech development, entrepreneurship, and interactions with healthcare providers
Job Perks
- Potential use of developed application in a startup
- Impact on patient quality-of-life
- Academic environment focused on skill development
- Exposure to technology patenting and translation through WARF
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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Which scenarios can achieve CDC recommended 5 equivalent clean air changes per hour (eACH) and what is their energy use? ( paper; graphic) Pacific Northwest National Laboratory and Berkeley Lab. Cary Faulkner, Timothy Salsbury, Belal Abboushi, Cerrina Mouchref, Brett Singer, Michale Sohn, and Gabe Arnold. Building and Environment. 1 June 2024.
In the past year both ASHRAE and the Centers for Disease Control and Prevention released new first-of-its-kind clean air targets to reduce the transmission of airborne diseases in buildings….Large increases to building energy use and carbon emissions will result if they are implemented using traditional HVAC ventilation approaches.…a typical office building HVAC system is not able to achieve the CDC targets unless supplemented with in-room technologies such as germicidal ultraviolet (GUV) or room air cleaners. Further, we find the scenarios with GUV or room air cleaners use approximately 75-80% less energy per unit of equivalent clean air than HVAC-only.
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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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