Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.

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April 21, 2021


Data Science News

CDIS RED Talks Explore Algorithmic Bias, Tech and Racism, and More
If you're interested in learning more about the ways that technology reinforces social biases and hierarchies, you can look to the School of Computer, Data, and Information Sciences' RED Talks, which has been featuring researchers and experts on these topics. Last week, Dr. Alex Hanna spoke about the importance of implicating politics and power in the construction of datasets, and the development of a research program around the genealogy of datasets used in machine learning and AI systems. You can watch her talk here. On Thursday, April 22, at 4 p.m., Dr. Lori Kido Lopez will question whether technology can save us from racism, identifying the potentials and limits of technology and digital media, identifying ways that technology can contribute to social justice activism while recognizing the racism embedded into the social hierarchies upheld in the digital. You can register for Dr. Lopez' talk here.

Upcoming Trainings & Workshops

May 3-10. Health Sciences Data Carpentry Workshop.
Hosted in partnership with the Health Sciences Learning Center, this workshop will teach best practices for using spreadsheets, cleaning data with OpenRefine, querying data with SQL, using R for manipulating, analyzing, and visualizing data, using data from the Alzheimers Disease Neuroimaging Initiative. Register here.

May 12-19. Social Sciences Data Carpentry Workshop
You'll learn best practices for using spreadsheets, cleaning data with OpenRefine, querying data with SQL, and using R for manipulating, analyzing, and visualizing data, using a data set that would be used in social science research. Register here.

Upcoming Seminars & Events

SILO Seminar Series, 12:30 p.m.
Apr. 21,  Fundamental limits of (S)GD on neural networks, Emmanuel Abbe

Apr. 23, Biostatistics & Medical Informatics Seminar
Clinical Natural Language Processing for Health Outcomes Research: Current Applications and Future State for Patient Care. Learn more here.

April 27-May 18, 8th Annual Business Intelligence and Analytics Symposium
Held virtually and will consist of a series of webinars exploring different aspects of the BI&A Journey. Register here.

Student Opportunities

New Course: ECE 901: Learning from Small Data taught by Ramya Korlakai Vinayak
In this course, we will explore the modern topics in machine learning with a focus on learning from small data.
We will focus on building the core theoretical tools to understand advanced ML topics and define and compare the use of KL-divergence, total variation distance, and Wasserstein-p distances; and learn how to use hypothesis testing problem set-up to derive lower bounds in learning problems.

New Course: MATH/STAT/ECE 888: Topics in Mathematical Data Science taught by Sebastien Roch
In Fall 2021, this course will provide a rigorous, self-contained introduction to the area of high-dimensional probability and statistics from a non-asymptotic perspective, aimed at graduate students in mathematics, statistics, computer science and engineering.

Professional Opportunities


On Campus

Data Science Facilitator, Data Science Hub
The Data Science Hub is seeking a facilitator to contribute to the Hub's outreach, engagement, and instructional initiatives. This position works with other research support staff across campus to provide data science resources and support to campus members, through presenting at and organizing conferences, creating resources, teaching foundational data science skills at workshops, and consulting one-on-one with students, faculty, and staff. Learn more and apply by May 7.

Evaluation & Data Management Specialist, FoodWIse
This position will provide leadership in implementing systems for the collection and analysis of programmatic and evaluation data and will maintain program databases for storing and monitoring data, as well as providing training and capacity-building efforts for statewide FoodWIse colleagues around evaluation, data management, and reporting. Learn more and apply by May 7.

Off Campus

Data and Innovation Analyst, Finance Department-City of Madison, Wisconsin
As part of the Data and Innovation Team, the City of Madison seeks to fill up to two Data and Innovation Analyst positions.  In this role, the incumbent will work to further data-informed decisions at the City by helping partners take full advantage of a top strategic asset – data.  The incumbent will work to advance data governance, build the capacity of City agencies to pursue analytics and innovation, and leverage data analytics and innovation to provide innovative solutions to complex problems. Learn more and apply here.

Data Analyst and Taxonomist, EBSCO
This role will pivot an existing taxonomy structure into a hierarchy with clear entity relationships to facilitate user browsing and compatibility with machine learning initiatives. This individual will also be responsible for assessing data processing workflow for efficiency and providing data-driven insight through data mining and data visualization. Learn more and apply here.

Programmer/Analyst, University of Nebraska Center for Digital Research in the Humanities (CDRH)
This position, within the University Libraries, is responsible for server-side programming, developing web applications, creating tests and documentation, and maintaining projects to support research in the humanities. Much of the CDRH's work is text-based, but projects also include data collection, analysis, and visualization. Learn more and apply here.

Ontologist/Application Developer, University of Pennsylvania
The successful candidate will use biomedical ontologies to generate RDF triples from Penn Health System resources to integrate data and populate a graph database of patient cohorts. This activity will draw upon Open Biological and Biomedical Ontologies ( Ontologies and graph databases are part of an exciting new movement in information technology that elevates data to the level of knowledge. Learn more and apply here.

Bioinformatics Trainer / Analyst, Oklahoma Medical Resource Foundation (OMRF)
OMRF is seeking a bioinformatician/data analyst to support biomedical research projects and training across the institute. The hire will implement and optimize pipelines for genomic data analysis and facilitate training of individuals in the use of a variety of software, including R and Python packages, for the analysis of datasets from a variety of genomic methods, including RNAseq, ChIPseq, and scRNA-seq. The hire will also work with senior scientists and staff to organize and implement access to training materials and software. Learn more and apply here.
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