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

If you have feedback on the new format or suggestions for other news, events, and opportunities to include, send us an email at newsletter@datascience.wisc.edu.

Have questions about anything data science-related? Come see us at our drop-in consultations:
  • Coding Meetup: Tuesdays, 2:30-4:30 p.m. CT
  • Office Hours: Thursdays, 2:30-4:30 p.m. CT
To join Coding Meetup and Office Hours, join data-science-hubgroup.slack.com.

November 3, 2021

 

Data Science News

Submit a Proposal for the 2022 Data Science Research Bazaar!

UW-Madison’s Data Science Hub seeks submissions for its 3rd annual Data Science Research Bazaar, focused on the theme of Data and Communities: Sharing and Protecting Data, with in-person and virtual options throughout February 2022. This theme encompasses and addresses: 

  • How communities share, protect, and validate data
  • How communities are represented in, and impacted by, data 
  • Development and use of open data and resources to catalyze community building
  • Data ethics (privacy concerns, data rights, algorithmic bias, etc.) 
  • Methodologies, uses, and communication about data
The conference will feature lightning talks, a poster session, interactive discussions, workshops, and an "art meets science" exhibit. We welcome presentations from researchers and data scientists from all disciplines, industries, and career stages, including students. Submission forms are linked in the text above — simply click on the presentation type that you're interested in for details. With the exception of art submissions (due January 3rd, 2022), proposals are due November 30th, 2021. For more information, please visit our website.

Upcoming Trainings & Workshops

 
Fall Mini Workshop Series, The Data Science Hub
Nov. 10-11th, Intro to Machine Learning with sklearn
Dec. 8th, Interactive Data Visualization with Python
These are part of a series of half-day workshops held throughout the fall semester. Registration is open, and each workshop needs to be registered for separately. The full schedule is here.

Microbiome Analysis with QIIME2 by the Microbiome Hub
Nov. 8th, This workshop will cover amplicon-based microbiome analysis using the QIIME2. This all-day workshop will consist of lectures and hands on training to analyze from raw dataset through publication-quality statistics and visualizations. Register here.

Introduction to R/Rstudio by the Microbiome Hub
Nov. 9th, This 1/2 day workshop is particularly recommended for other workshops presenting further analysis in R of microbiota results from a Qiime2 and/or mothur analysis. Register here.

Analysis of QIIME2 Microbiome Results by the Microbiome Hub
Nov. 15th, In this follow-up workshop the R package "qiime2R" will be used to convert data files exported by QIIME2 for further analysis and graphical explorations. This all-day workshop will consist of lectures and hands on training. Requires Prerequisites. Register here.

Upcoming Seminars & Events

 
SILO Seminar Series
Nov. 3rd, 12:30 p.m., Phylogenomics: "Inverting" Random Trees, Sebastien Roch
This semester there will be hybrid seminars, with both in-person and virtual (Zoom) participation.The number of in-person attendees will be limited to 20 people (we will possibly increase this number later in the semester). In person will be notified the Tuesday before each SILO.

ML+X
Nov. 9, 12-1 p.m., Discovery Building's Orchard View Room and Zoom
This is a monthly-recurring seminar that will feature a series of 10-minute lightning talks on applied machine learning work. We hope this community event will encourage researchers to share their knowledge and resources. For reminders about these events and other Machine Learning Community of Practice (ML CoP) updates, join its Google Group. If you have any trouble joining, email the Data Science Hub Facilitators.

Student Opportunities

 
Student Data Analyst, Office of Data Management & Analytics Services (ODMAS)
This student will support the leads of data governance and analytics programs, the department project manager, and communications director. Duties will include performing background research and analysis, documenting data definitions and updating the institutional data catalog, supporting workload analysis, drafting content for the website, and assisting with other administrative duties. Learn more and apply here by November 5.

IT Administrator, Center for Limnology
This student will perform regular maintenance on servers and websites, troubleshoot problems related to Apple and Windows computers, provide instructions or training materials for different software when needed, make modifications to existing documentation and document any new processes, and use security tools such as AMP to maintain network system security. The student should have some experience in Linux, SQL and database management, Drupal and WordPress, HTML, CSS, and PHP. Learn more and apply here by December 5.

Professional Opportunities

 

On Campus

Data Scientist, UW-Madison, Epistemic Analytics Research Lab
The Data Scientist position will assist in the technical development and design of the tools for quantitative ethnography and the educational simulations (both front-end and back-end), as well as provide technical guidance and mentorship to other staff and students as it pertains to the technical aspects of publications, grants, and projects. This position will be well-versed in computational mathematics, machine learning, and software development, and the field of Quantitative Ethnography. Learn more and apply here by November 15th.

Off Campus

Research Software Engineer, LwM (Living with Machines), London
LwM is looking for a Digital Humanities Research Software Engineer (DH RSE) to complement our team and create spatial and temporal representations of complex historical datasets, and interfaces for specific research methods and technologies. This is an exciting opportunity to contribute to the development and implementation of the digital scholarship and public outreach streams of the LwM project by assembling, designing, implementing, developing and integrating a range of tools. Learn more and apply here by November 7th.
Connect with us: Website | Email | Twitter