A bi-monthly newsletter with updates on data and computing news and events for UW-Madison researchers.
In the Oct. 31th, 2018 update:
- Learning, Understanding, Cognition, Intelligence, Data Science (LUCID) Graduate Training Program
- Course Offerings for Spring 2019
- Upcoming Campus Events
- Upcoming Trainings and Workshops
- Campus Opportunities and Groups
- External Opportunities
- 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 (firstname.lastname@example.org.
or come by Hub Central in the Discovery Building during office hours (W 9:30-11:30, Th 2:30-4:30).
The goal of LUCID is to provide graduate students from Engineering, Computer Science, Psychology and Educational Psychology with hands-on cross-disciplinary training and experience working on problems that focus on inventing tools for making sense of masses of crowd-sourced data, understanding how people learn in laboratory and real-world contexts, helping educators develop and exploit new teaching technologies, and developing strategies for human-machine collaboration.
LUCID is currently accepting applications. The deadline for candidates in Psychology and Educational Psychology is December 1, 2018. The deadline for candidates Engineering and Computer Science is December 15, 2018. For more details about the application process, check out the LUCID website.
Course Offerings for Spring 2019
The time for students to enroll in spring courses is quickly approaching. We know that many of you are teaching courses that are related to Data Science. Please help us share that information with the students! You can let us know about your courses by just answering a few questions. If you would like to see what others are offering you can view those results here. We will summarize everything and share it in the next newsletter.
Upcoming Campus Events
AI Club: 6:30pm-7:30pm, 1240 Computer Sciences
Nov. 19, Organization Wide Meeting
Applied and Computational Mathematics Seminar (ACMS): 2:25pm, 901 Van Vleck Hall
Nov 2, Making Spectral Graph Theory Work in Practice. Making the Practice work in Theory, Karl Rohe
Nov 9, Instability of an Inverse Problem for the Stationary Radiative Transport Near the Diffusion Limit, Yimin Zhong, Univ. of California – Irvine
Biostatistics & Medical Informatics (BMI) Seminar:
Nov 8, 3:30pm, 1325 HSLC DeMets Lecture – The Right Treatment for the Right Patient at the Right Time: Precision Medicine Through Treatment Regimes and SMARTS, Marie Davidian, NCSU
Nov 9, 9:00am, Paul DeLuca Forum, Wisconsin Institute for Discovery, DeMets Lecture – Machine Learning-based Estimation of Optimal Treatment Regimes With Censored Survival Outcome, Marie Davidian, NCSU
Center for Demography of Health and Aging (CDHA) Training Seminar: 2:00pm-3:15pm, 8417 Sewell Social Science Building
Oct 31, Epigenetics: A Social Scientist’s Perspective, Colter Mitchell, University of Michigan
Nov 7, Agent-Based Modeling with NetLogo (I), Jennifer Stenglein, Wisconsin Department of Natural Resources
Nov 14, Agent-Based Modeling with NetLogo (II), Jennifer Stenglein, Wisconsin Department of Natural Resources
Computer Sciences Events:
Nov 2, 11:00am-12:15pm, 2310 CS, PlinyCompute: Connecting Programming, Computation and Storage for Analytics at Speed, Jia Zou, Rice University
Nov 5, 12:00pm-1:00pm, CS 4310, Automated Resource Management in Large-Scale Networked Systems, Sangeetha Abdu Jyothi, UIUC
Nov 10-11, 12:00pm (24 hours), Educational Sciences Building MadHacks Hackathon
Computation and Informatics in Biology and Medicine (CIBM) Seminar: 4:00pm, Genetics/Biotechnology Center Auditorium
Nov. 13, TBA, Daniel Conn
Nov. 20, TBA, Yin Li
Machine Learning for Medical Imaging (ML4MI) Initiative Seminar
Nov 15, 4:00pm, 1345 HSLC Single Image Super-Resolution for 2D and 2D MRI, Jerry L. Prince, Johns Hopkins University
Quantitative Biology Initiative (QBI Seminar), 2:00pm-3:00 pm, Orchard View Room, Wisconsin Institute for Discovery
Oct 31, Multifunctional Nanoplatforms for Targeted Therapies and Genome Editing, Shaoqin (Sarah) Gong
Nov 7, Impact of Environmental Factors on Human Cell Metabolism, Jason Cantor
Statistics Seminar: 4:00pm, 133 Service Memorial Institute (SMI)
Oct 31, Ghost Data, Dennis Lin
Nov 7, Subvector Inference in Partially Identified Models with Many Moment Inequalities, Alexandre Belloni
Nov 9, TBA, Weijie Su
Statistics Graduate Student Association (SGSA) Seminar, 3:00pm, 133 Service Memorial Institute (SMI)
Nov 2, Making Websites with R, Jacob M. Maronge
Systems, Information, Learning, and Optimization (SILO) Seminar: 12:30pm, Orchard View Room, Discovery Building
Oct 31, Visual Navigation in 3D Scenes, Saurabh Gupta
Nov 7, Generalization and Optimization of Deep Networks, Matus Telgarsky
UW-Madison Open Meetup: Data Story Slam
The last Data Story Slam was such a success the UW Madison Open Meetup wanted to throw another one! They will be looking for storytellers to each tell a short data story. This can be free form, a slide presentation, a poem, or anything else. University staff, academic staff, and all students are invited.
Nov 27, 12:00pm-1:00pm, Education Building (Bascom Mall), Room 159.
The Wisconsin Association for Computing Machinery – Women in Computing (WACM-W) meets every month on the first Tuesday of each month.
Nov 4, 12:15pm-1:15pm, Computer Sciences 2310.
Upcoming Trainings and Workshops
Next Gen. Data Analysis Workshops – Fall/Winter 2018
The Bioinformatics Resource Core (BRC) at the UW Biotechnology Center (UWBC) is offering Next-Generation Sequencing (NGS) Data Analysis skills with open-source software on a Linux platform. Workshops are heavily hands-on.
(Online Registration is required! VERY IMPORTANT NOTE: It is necessary to register separately for each workshop separately! Workshops Description/Registration. There is a fee associated with each workshop.)
UWBC Next Gen workshops:
(limited seats): Max: 8-12 participants depending on workshop (2 minimum.)
|Workshop||Dates||Location / room|
|Linux Essentials (1):||Monday, 11/19||Biotech/Genome Center / 5406|
|Intro to NGS Data Analysis:||Wednesday 11/28||Biotech Center / 1360|
|mRNA-Seq:||Wednesday 12/5||Biotech Center / 1360|
(1): Required – or demonstrated prior proficiency with
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
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 email@example.com for updates and future meetings.