101718 Update

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A bi-monthly newsletter with updates on data and computing news and events for UW-Madison researchers.

In the Oct. 17th, 2018 update:

  • The Research Project Resource Guide (RPRG)
  • Upcoming Campus Events
  • Upcoming Trainings and Workshops
  • Campus Opportunities and Groups
  • External Opportunities

Are you…

  • unsure which campus data and computing resources you need for your research?
  • interested in making connections and starting new collaborations with data scientists and other researchers on campus?
  • looking for training in data and computing skills?

The Data Science Hub can help! Send an email to the Data Science facilitator (facilitator@datascience.wisc.edu)
or come by Hub Central in the Discovery Building during office hours (W 9:30-11:30, Th 2:30-4:30).

The Research Project Resource Guide (RPRG): Your Guide to Research Resources at UW- Madison

It can be overwhelming to navigate the resources available to help support researchers on our campus. The Research Project Resource Guide (RPRG) can help.

The Research Project Resource Guide (RPRG)is a joint project between the Wisconsin Institute for Discovery (WID) and the Advanced Computing Initiative (ACI) designed to integrate the vast research resources available at the UW-Madison in one unified interface. It includes everything from grant support, software, and writing assistance to data visualization and management and outreach programs.

Whether you are initiating, executing or completing a project, the RPRG can help guide your research. Be sure to check it out.

Upcoming Campus Events

Systems, Information, Learning, and Optimization (SILO) Seminar12:30pm, Orchard View Room, Discovery Building
Oct 17, “Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality“, Miaoyan Wang
Oct 24, “A Conditional Gaussian Framework for Uncertainty Quantification, Data Assimilation and Prediction of Complex Nonlinear Turbulent Dynamical Systems“, Nan Chen
Oct 31, TBA, Saurabh Gupta

Center for Demography of Health and Aging (CDHA) Training Seminar:
Oct 17, 2:00pm-3:15pm, 8417 Sewell Social Science Building​, “Causal inference with Big Data, Hyunseung Kang

Dept. of Statistics Seminar4:00pm, 133 Service Memorial Institute
Oct 17, Monotone Single-Index Models for Highly Skewed Response“, Debajyoti Sinha
Oct 24,  Average- and λ- Power in Multiple Testing Scenarios using the BH-FDR Procedure“, Grant Izmirlian
Oct 31, TBA, Dennis Lin

AI Club: Reverse Engineering Intelligence
Our Neuro-Inspired A.G.I. study group will be giving a presentation on the interactions between the fields of cognitive science, neuroscience, and artificial intelligence. We will end the talk with a summary of the club’s current projects and ways to get involved. RSVP here.
Oct 17, 6:30pm-7:30pm, 1240 Computer Sciences

Biostatistics & Medical Informatics (BMI) Seminar:
Oct 19, 12:00pm-1:00pm, G5/119​ Clinical Sciences Center, Fisher exact scanning for dependency“, Li Ma

Applied and Computational Mathematics Seminar (ACMS): 2:25pm, 901 Van Vleck Hall
Oct 19, Data-informed stochastic model reduction for complex dynamical systems“, Fei Lu
Oct 26, “Quantum Equilibrium-Disequilibrium”: Asset Price Dynamics, Symmetry Breaking and Defaults as Dissipative Instantons“, Matthew Dixon
Nov 2, TBA, Karl Rohe

UW-Madison Open Meetup: “Paywall: The Business of Scholarship
Does the high cost of access to scholarly literature interfere with the advancement of research and innovation? Join us for a film screening and discussion on the business behind for-profit scholarly publishing and the rise of open access options.
Oct 22, 3:30pm-5:30pm, The Marquee Cinema, Union South

Computer Sciences Events:
Oct 25, 4:00pm-5:00pm, 1240​ Computer Sciences, Machine Learning for Medical Imaging: Medical Image Imputation“, Polina Golland
Oct 26, 9:45am-10:45am, Fluno Center Auditorium​, Phenotyping Enigmatic Conditions – A Case Study on Endometriosis“, Noemi Elhadad
Oct 26, 1:00pm-2:00pm, 2310​ Computer Sciences, Make Your Database Dream of Electric Sheep: Designing for Autonomous Operation“, Andy Pavlo
Oct 26, 1:30pm-2:30pm, Fluno Center Auditorium​, AI for Health – Augmenting Clinical Care“, Jenna Wiens
Oct 26, 3:30pm-4:30pm​, Fluno Center Auditorium, Mixed Effects Models for Skeptics“, Peter Hoff

Computation and Informatics in Biology and Medicine (CIBM) Seminar4:00pm, Genetics/Biotechnology Center Auditorium
Oct 30, TBA, Amy Cochran

UW-Madison Annual Diversity Forum 2018: “Beyond the Numbers — Relationships, Retention and Reality” keynote by Talithia Williams, Associate Dean for Research and Experiential Learning and an Associate Professor of Mathematics at Harvey Mudd College.  Register to attend here.
Oct 31st, 8:00am-4:30pm, Union South

Research Data Services (RDS) Holtz Brownbag: “Depositing Data in Inter-university Consortium for Political and Social Research (ICPSR), Mary Checovich
Oct 31st, 12:00pm-1:00pm, 126 Memorial Library

Upcoming Trainings and Workshops

The Division of IT (DoIT) offers free software training for students. We are highlighting courses related to research computing. Registration required. All events are 6pm-8pm on their respective dates.
STS: Excel 2, Functions, 10/25, 10/31
STS: Excel 1​, 10/25

What is the Open Science Framework?: The Open Science Framework, or OSF, is an open and free tool that can help facilitate your research across it’s entire workflow, from planning your project to sharing your data. OSF can help facilitate collaboration, serve as a place to publicly share your data and documentation, and much more! We’ll talk about the features of OSF and the different ways you can leverage the tool to support your research workflow. Register to attend here.
Oct 30st, 12:00pm-1:00pm, Biocommons/110A, Steenbock Library

Campus Opportunities and Groups

Data Science Postdoctoral Opportunity 
The Project DATA (Digital Ad Tracking & Analysis) team at the University of Wisconsin-Madison is looking for a postdoctoral researcher who specializes in Computational Social Science, Political Science, Data Science, Computer Science, Communication (with a specialty in computational analysis), or related field. Read more…

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

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 join-rsag@lists.wisc.edu for updates and future meetings.

If you have a relevant event or group you’d like to see included in next month’s news letter.  Please send us an email at facilitator@datascience.wisc.edu.