A bi-monthly newsletter with updates on data and computing news and events for UW-Madison researchers.
In the Jan. 9, 2019 update:
- Data Science Office Hours
- Upcoming Campus Events
- Upcoming Trainings and Workshops
- Campus Opportunities and Groups
- External Opportunities
- Hackathon Opportunities
Data Science Office Hours
Data Science Office Hours are getting an upgrade! Every other Thursday, starting January 24th (3-5p), we will have more experts and resources available to answer your questions. Stop by to talk to experts from the Data Science Hub, CHTC, RDS, and SSCC about topics such as data management, machine learning, programming languages, statistics, optimization, and more. Regular Data Science Office Hours will continue Wednesdays (9:30-11:30a) and alternating Thursdays (3-5p). See the Data Science Hub calendar for the latest info about office hours and which groups/experts will be at the upcoming office hours. If you have questions, send an email to the Data Science facilitator (email@example.com) or just stop by Hub Central in the Discovery Building during our new upgraded office hours.
Upcoming Campus Events (Calendar View)
The Wisconsin Association for Computing Machinery – Women in Computing, Jan 16, 12:15pm-1:15pm, Computer Sciences 2310
Computation and Informatics in Biology and Medicine (CIBM) Seminar: 4:00pm, 1360 Biotechnology Center
Jan 23, Practical Information for the Application of Machine Learning, Ross Kleiman
Jan. 30, Towards Cell-type Prediction with Public RNA-seq Data, Matthew Bernstein
Systems, Information, Learning, and Optimization (SILO) Seminar: 12:30pm, Orchard View Room, Discovery Building
Jan 23 TBA, Simon Foucart
Computer Science Seminar: 4:00pm-5:00pm 1240 Computer Sciences
Jan 24, What’s So Hard About Natural Language Understanding? Alan Ritter, Assistant Professor, Department of Computer Science, Ohio State University
Applied and Computational Mathematics Seminar (ACMS): 2:25pm, 901 Van Vleck Hall
Jan 25, TBA, Jerry Zhu
Feb 1, TBA, Chung-Nan Tzou
Biostatistics & Medical Informatics (BMI) Seminar: 12:00pm, Biotechnology Center Auditorium
Jan 25, Rapid Acceleration of the Permutation Test via Slow Random Walks in the Permutation Group, Moo Chung
Upcoming Trainings and Workshops
This is a ‘hands on’ 8 week course on molecular modeling with emphasis on drug design that starts on February 4 and is held in the CALS computer lab Animal Sciences Building. It is open to any grad student or staff of the UW. This course will cover the basics of protein and small molecule modeling using the commercial software Sybyl from Tripos. Then several docking programs, such as SurFlex, DOCK, and Autodock4, will be examined with real examples form the literature. Each student will be running Sybyl and autodock on an iMAC in the CALs computer lab (calslab.cals.wisc.edu/). The cost of the course is $300, usually paid by the professor. There is NO UW credit for this course. The course has been taught since 2003 by Dr. Ken Satyshur, from the SMSF who has more than 30 years experience with molecular modeling. To sign up, contact Ken Satyshur (firstname.lastname@example.org), http://hts.wisc.edu.
Stata is the most popular statistical software at the SSCC, as it is both very powerful and relatively easy to learn. This class will teach you the fundamentals of Stata and give you a strong foundation you can build on to become an expert Stata user. You do not need any experience with Stata to benefit from this workshop, but people who learned how to run a few Stata commands for a class or who figured out some things on their own will benefit from its broader and more rigorous approach. The material covered is also available in the SSCC Knowledge Base under Stata for Researchers. The class dates are 1/15 and 1/16 (12:30-4:30 pm) or 1/30, 2/6, and 2/13 (9:00 – 11:30 am). Note that this class is a series and you should plan on attending all of the sessions. If you are interested, you can register here for the first session and here for the second session.
This course teaches data preparation skills using the data wrangling tools of the tidyverse. The tidyverse is a collection of R packages that are designed to make it easier to work with data. The ggplot package is just one example of the highly regarded tools in the tidyverse. This course will cover importing data, cleaning data, creating and transforming variables, merging data, and plotting. It is a hands on class with time devoted to practicing using these tools to ready data for analysis. The course dates are 1/29, 1/31, 2/5, 2/7, 2/12, and 2/14 (9:00 – 10:50). Note that this class is a series and you should plan on attending all of the sessions. If you are interested, you can register here.
Campus Opportunities and Groups
Computational Biology, Ecology, and Evolution (ComBEE)
ComBEE is a group of researchers at UW-Madison interested in computational biology in ecology and evolution. ComBEE offers R and Python study groups on alternating Thursdays throughout the semester.
ComBEE Python Study Group – Meets every other Thursday at 2pm in Microbial Sciences 5503
ComBEE R Study Group – Meets every other Thursday at 2pm in Microbial Sciences 5503
Molecular Dynamics Group
Molecular dynamics (MD) simulations can provide a computational microscope for looking at molecular events. However, the art of setting up, running, and interpreting a simulation is challenging. To help, campus MD users and potential users are getting together to share experiences, tools, and codes. Importantly, the group will also discuss best practices, appropriate/inappropriate uses, and how best to use local computer resources. Contact Spencer Ericksen (email@example.com) if you are interested in joining the group.
Research Systems Administrators Group (RSAG)
This ACI-sponsored group meets on the third Wednesdays of every month and allows systems administrators of research systems to share expertise. Join the email list by sending an email message to firstname.lastname@example.org updates and future meetings.
The City of Madison Finance Department is seeking qualified applicants for a part time analytics internship to begin next semester. The position is available up to 20 hours per week and pays $18.65/hour. There is no specific end date to this internship. Applications are due by 1/31/2019.
The Data Incubator (04-01-2019 to 05-24-2019)is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. We are assessing and interviewing candidates who apply for the Early Deadline (01-14-2019) first and then based on remaining availability, will take candidates who applied for the Regular Deadline (01-21-2019) on a first-come first-serve basis. Apply Now!
Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.
Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.
Want to flex your coding skills over the holiday? Check out the hackathons listed below.
Alexa Skills Challenge: Multimodal
Build (or update) Alexa skills using Alexa Presentation Language (APL) that leverages the screen on one of the following devices: Fire TV, Echo Show, Echo Spot, and Fire Tablets.
- Prizes: Up to $150,000 in cash and prizes
- Deadline: January 22, 2019
Check out the webinar on December 12th 10am-12pm EDT
Learn more and register here.
Twitch AWS Extensions Challenge
Build Twitch Extensions for viewers, broadcasters, or both. Extensions can be in any category and any theme, as long as it uses or integrates at least one AWS service.
- Prizes: Up to $26,500 in cash and prizes
- Deadline: February 26, 2019
Learn more and register here.
Microsoft Graph Security Hackathon
Build or update a functioning Microsoft Graph-powered solution that leverages the Microsoft Graph Security API. (Note: Please review the complete requirements on the website.
- Prizes: Up to $15,000 in cash, promotion and a speaking opportunity at Build Day 2019
- Deadline: March 1, 2019
Learn more and register here.
Check calendar for latest details and updates for all listed events. If you have a relevant event or group you’d like to see included in next month’s newsletter. Please send us an email at email@example.com.
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