100219 Update

In the October 2, 2019 update:

  • The Data Science Research Bazaar
  • Upcoming Campus Events
  • Upcoming Training 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 Sarah Stevens, the Data Science facilitator (facilitator@datascience.wisc.edu), or come by Hub Central in the Discovery Building during office hours (Th 3:00-5:00 PM). Sarah will also be at Open Coding Lab in Steenbock Library (T 2:30-4:30 PM). Check our calendar for latest details and updates.


The Data Science Research Bazaar

UW-Madison’s Data Science Research Bazaar is a two-day conference, where researchers and data scientists from various disciplines and industries will have opportunities to share their work, collaborate, and discuss their data science interests. With a focus not just on research and training in data science, but on fostering a collaborative data science community, the Data Science Research Bazaar is an event unlike any academic conference you have ever attended. The Data Science Research Bazaar is modeled off of the internationally occurring Research Bazaar, a worldwide festival promoting the digital literacy emerging at the center of modern research. The aim of these events is to equip researchers from all career stages with the digital skills and tools required to do their research better, faster and smarter. Throughout 2020, events will be held at a number of universities around the globe, and UW-Madison will host its Data Science Research Bazaar on January 24-25, 2020.

The Research Bazaar is seeking submissions from all disciplines for lightning talks, concurrent sessions, workshops, and two different poster sessions. Mark your calendars and apply today!


Upcoming Campus Events (Calendar View)

Statistics Seminar: 4:00 – 5:00 pm, 140 Bardeen
Oct 2, Design and Implementation of a Basket Trial Design using a Multifactor Bayesian Hierarchical Model, Jyotirmoy Dey
Oct 9, Title TBA, Tyrus Berry
Oct. 16Title TBA, Johann Gagnon-Bartsch

Systems, Information, Learning, and Optimization (SILO) Seminar, 12:30-1:30 pm, Orchard View Room, Discovery Building
Oct 2, Deep Learning for Electronic Structure Computations: A Tale of Symmetries, Locality, and Physics, Leonardo Andrés Zepeda Nùñez
Oct 9, Title TBA, Chinmay Hedge
Oct 16, Title TBA, Arindam Banerjee

Geography Department Yi-Fu Lecture Series: 3:30 pm, 180 Science Hall
Oct 4, ​Spatial Social Network Analysis in GIS: A Case Study of the U.S. Mafia, Clio Andris 

Applied and Computational Mathematics Seminar (ACMS): 2:25 pm, 901 Van Vleck Hall
Oct 4, Random graph models with fixed degree sequences: choices, consequences and irreducibility proofs for sampling, Joel Nishimura
Oct 11, Title TBA, Alex Townsend
Oct 18, What is the Lagrangian for Nonlinear Filtering?, Prashant G. Mehta

Biostatistics & Medical Informatics Seminars: 12:00- 1:00 pm, Biotechnology Center Auditorium
Oct 4, Title TBA, CIBM Retreat
Oct 18, Title TBA, Johann Gagnon-Bartsch, PhD

Computational Biology, Ecology, and Evolution Group Seminars: 3:00pm, Microbial Sciences Building 6201
Oct 18, The Genetic Causes and Consequences of Mutation in Yeast, Nathaniel Sharp

Machine Learning for Medical Imaging Seminars: 4:00 pm Health Sciences Learning Center (room TBA)
Oct 18, Convolutional Neural Networks for Predicting and Hiding Personal Traits from Face Imaging, Sebastian Raschka

Industrial & Systems Engineering Colloquium Series: 12:00 pm, 1025 ECB
Oct 4, Mixed-Integer Conic Programming for Learning Directed Acyclic Graphs from Continuous Data, Simge Küçükyavuz
Oct 25, Title TBA, Alan Erera

Oct 8, 6-8:30 pm, Codecinella – Want to Practice Your Interview Skills?
Location: 1240 Computer Sciences and Statistics Building
Oct 19, all day, Madhacks Hackathon
Location: L1 Floor, Education Building
Oct 21, 4-5 pm, TBA, Sazzadur Rahaman
Location: 2310 Computer Sciences and Statistics Building

Upcoming Training and Workshops

R Workshops for Researchers
UW-Madison Libraries are offering workshops on R programming for researchers. The content will cover useful skills for anyone working with tabular data. Later sessions go beyond the Data Carpentry Lessons to cover how to use git version control within R Studio and writing reproducible reports using RMarkdown. Registration is by workshop, not for the entire series.  A full list of workshops and registration information can be found here.

Library Carpentry Workshop
Registration is now open for Library Carpentry, happening on October 14-15! This workshop is built for people working in library- and information-related roles, and will introduce you to the fundamentals of computing and provides you with a platform for further self-directed learning. Library Carpentry will help you automate repetitive, boring, and error-prone tasks; create, maintain, and analyze sustainable and reusable data; work effectively with IT and systems colleagues; better understand the use of software in research, and more.

Next Gen. Microbiome Analysis Series
In cooperation with Microbial Science, the Microbiome Hub, the Bioinformatics Resource Center (BRC) – UW Biotechnology Center (UWBC) – is announcing the microbiota series hands-on workshops for FALL 2019: with mothur and R and with QIIME2.

Workshop Dates Registration link Fee
Microbiota Analysis within R (Part II) 10/14/19 https://go.wisc.edu/wq2e5l $195
Microbiome Analysis using QIIME2 10/21/19 https://go.wisc.edu/3pgqmn $175

Location: UW-Biotech Center / room 1360, all-day workshops.
* Location: UW-Biotech Center / room 5406. ~2h workshop.

UW Extended Campus Coding Bootcamp
The digital revolution has transformed virtually every area of human activity—and you can become part of it as a web development professional. UW Extended Campus Coding Boot Camp is a live, online Full Stack Flex course with a part-time schedule that gives you the knowledge and skills to build dynamic end-to-end web applications and become a full stack web developer in 24 weeks. Designed to fit into the lives of busy adults and working professionals, the program features convenient online classes in real-time, with evening and weekend sessions. We pair live classes with in-depth, curated resources to reinforce knowledge and supplement those days you can’t make the live session. You can learn more here.

BadgerConnect Research Services Fair
Researchers across the UW-Madison campus are invited to attend our second BadgerConnect Research Services Fair at the Health Sciences Learning Center on Wednesday, October 9th, from 12:00—5:30 pm, including lunch and a light dinner reception with beer/wine.  Free registration is open now!  Attendees will have the opportunity to discuss their research projects with more than 30 UW life science research services, learn about cutting-edge technologies and latest products provided by the services and their vendor partners and find out how other UW researchers’ projects have been supported by the services. Please see our webpage for more details.


Campus Opportunities and Groups

Joint Annual Retreat of the CIBM and BDS Training Programs:
We invite you to the Annual Retreat of the Computation and Informatics in Biology and Medicine (CIBM) Training Program and the Bio-Data Science (BDS) Program, to be held in the Discovery Building  on Friday, October 4th from 9:00am to 5:00pm. If you plan to attend and or present a poster, please contact Louise Pape.

Computational Plant Sciences (ComPS) Group
A common problem that both bench and field plant scientists face is that advances in high-throughput measurement platforms have outpaced the ability to readily analyze the datasets produced. To help solve this problem, the researchers in Plant Sciences formed a community of practice, a peer-to-peer mentoring network that will work across lab, departmental, and college boundaries to help plant scientists build computational and data science skillsets. Monthly meetings are held on the first Tuesday of each month at noon in 1153/54 Discovery.

Postdoctoral Research Associate Positions Opportunities In Bioinformatics and Biosynthesis
The Kwan Lab in the Drug Discovery Core of the Division of Pharmaceutical Sciences at the University of Wisconsin-Madison are seeking two Postdoctoral Research Associates to work on a 5-year project funded by NIH/NIGMS. Evolved small molecules made by living organisms (natural products) have been a prolific source of drug leads, but often they possess complex structures not amenable to industrial organic synthesis, with limited supply from natural sources. Click here to apply now.

The Wisconsin Association for Computing Machinery – Women in Computing (WACM-W)
WACM is the UW-Madison’s student chapter of ACM-W, ACM’s Women in Computing. We provide social, educational and outreach activities for women in the Computer Sciences department, in the university, and in the surrounding community. WACM meets on the first Tuesday of each month. To get in touch with us about events, please email Katie Zutter (President) or Swati Anand (Vice President).


External Opportunities

This collection of contributions brings together critical debates about Artificial Intelligence (AI) to interrogate how we should understand what constitutes AI, its impact, and challenges. If we want to make sure that AI-powered applications and solutions will benefit society at large and mitigate AI’s potential negative consequences, we need to overcome the widespread dichotomy (utopian/dystopian) thinking about AI. By offering different perspectives and engaging in critical conversations on the potential and impact of AI, this collection aims to invite all stakeholders involved to contribute to a more nuanced vision of how to make sure AI will deliver benefits for everyone, if at all possible (and what is needed to facilitate change). Please send abstracts of no longer than 500 words to Pieter Verdegem (p.verdegem@westminster.ac.uk) by October 10, 2019.

Data Incubator
The Data Incubator is an intensive 8-week fellowship that prepares masters and PhD students 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. Everyone else is encouraged to sign-up for a future session. All sections will be from January 13, 2020 until March 6, 2020. Please follow this link to apply.

BSSw Fellowship Applications are Open
The Better Scientific Software (BSSw) Fellowship program fosters and promotes practices, processes, and tools to improve developer productivity and software sustainability of scientific codes. Each 2020 BSSw Fellow will receive up to $25,000 for an activity that promotes better scientific software. Applications for the 2020 Fellowships will be accepted through Tuesday, 15 October 2019. This is a firm deadline that will not be extended. Note that the Fellowship is open to researchers with US institutional affiliations.

Job Opportunities for Bioinformatics Analyst/ Computational Genomic Scientists
The Frederick National Laboratory has the immediate need for talented Bioinformatics Analysts and Genomic Data Scientists at all levels across various teams dedicated to helping the National Cancer Institute, other NIH institutes and federal agencies find cures for Cancer, HIV, and other diseases. Learn about all the available openings here.

Job Opening At the University of Iowa
The Department of Business Analytics at the University of Iowa’s Tippie College of Business invites applications for a tenure-track faculty position with a Fall 2020 starting date.   We are particularly interested in innovative scholars at the entering or advanced Assistant or beginning Associate level.  The successful candidate will contribute to vibrant and expanding programs at the graduate and undergraduate levels.  We are excited to consider a broad range of fields within analytics.  We welcome applicants with a PhD degree in Applied Math, Business Analytics, Computer Science, Industrial Engineering, Informatics /Information Sciences, Logistics, Management Science, Operations Management/Supply Chain, Statistics or a related field.

Job Opening at the U.S. Food and Drug Administration (FDA)
A research opportunity is available in the Office of New Drugs (OND), Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA) located in Silver Spring, Maryland. This project in the office of OND focuses on safety analyses and research related to the conduct of safety data analyses to support regulatory review. The qualified candidate should be currently pursuing or have received a doctoral degree in a relevant field. Degree must have been received within five years of the appointment start date. Familiarity with Python and R is preferred. For more details, please visit this link.

Machine Learning Researcher
Exxon Mobil is seeking a talented and creative individual to conduct fundamental research in machine learning and pattern recognition. The researcher will seek solutions for a multitude of challenges involving large-scale physics, chemistry, geophysics and engineering data sets and models. Research will include developing deep neural networks for pattern recognition and gaining insights from data, reinforcement learning for optimization application, Bayesian machine learning, etc. Please visit this link to learn more.

Mathematical Optimization Researcher
Exxon Mobil is seeking a talented and creative individual to conduct fundamental research in mathematical optimization and decision science. As member of our team, the successful candidate will undertake research towards crafting novel solutions for large scale optimization challenges arising from a multitude of real problems involving physics, chemistry, geology, manufacturing, supply-chain, and market economics. Please visit this link to learn more.

Syngenta Crop Challenge in Analytics
Today, the agriculture industry works to maximize the amount of food gained from crops by breeding plants with the strongest, highest-yielding genetics. Plant breeding is complex, and data analytics can help scientists at research and development organizations like Syngenta make advances in seed product development. Developing models that can predict the performance of potential corn products can help scientists more accurately select seeds that increase the productivity of the crops farmers plant – and will help address the growing global food demand. The challenge gives students the opportunity to test their analytical skills by using real-world data to develop a model that applies analytics in new, creative ways to help feed our growing population. Check out their website to learn more.

National Science Policy Network (NSPN) Symposium 
Catalysts for Science Policy is hosting the NSPN’s annual symposium here in Madison, WI on November 1-3, 2019. This year’s theme is “Leveraging Science and Technology to Benefit Marginalized Populations.” The symposium features speakers, workshops, and 300+ attendees. Information about the symposium can be found here. Registration ends October 18 and NSPN members receive a 50% discount.

The Terraton Challenge
Indigo Ag, is a company dedicated to harnessing nature to help farmers sustainably feed the planet. Indigo recently announced the launch of the Terraton Initiative, a global effort to remove 1 trillion metric tons of carbon dioxide from the atmosphere and use it to enrich our agricultural soils. As part of launching the Terraton Initiative, we have also launched the Terraton Challenge, an open call to innovators to develop solutions to better accelerate, quantify, and reward soil carbon sequestration. There are no minimum requirements to submit an application, and all Round One applicants will be eligible for $3.5K in prizes, just for submitting an idea.