071019 Update


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

In the July 10, 2019 update:

  • Data Incubator
  • 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 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 calendar for latest details and updates.

Data Incubator

The Data Incubator is an intensive eight 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. In addition to in-person locations in New York City, San Francisco, Boston and Washington, DC, a remote online session will also be available. All sections will be from 9-16-19 to 11-08-19. Applications are due 7-15-19. To learn more about The Data Incubator, check us out on Venture BeatThe Next Web, or Harvard Business Review.

Upcoming Training and Workshops

Genomics Data Carpentry, 8:30am – 4:30pm, August 5-6, 2019
This hands-on workshop teaches basic concepts, skills and tools for working more effectively with genomics data. The workshop is for any researcher who has data they want to analyze, and no prior computational experience is required. Event hosted by the Data Science Hub. Registration opens July 10 at 5:00 pm.

Next Gen. Data Analysis Workshops 
NEW This summer a new series based on R / RStudio / bioconductor will be also offered with more limited seating. Registration is required for all workshops. There is a fee associated with each workshop.

R / RStudio / bioconductor workshops:
     Intro to R / RStudio / bioconductor, July 23
     RNA-Seq Analysis with RJuly 26
     ChIP-Seq Analysis with RJuly 30

Software Training for StudentsRoom B1144A, DeLuca Biochemistry Building, 420 Henry Mall (Registration required).
     MATLAB 1, Wednesday, July 10, 5:00-7:00
     Illustrator 2, Thursday, July 11, 5:00-7:00
     CSS1, Monday, July 15, 5:00-7:00
     WordPress 1, Tuesday, July 16, 5:00-7:00
     Python, Wednesday, July 17, 5:00-7:00
     HTML, Thursday, July 18, 5:00-7:00
     Photoshop 1, Tuesday, July 23, 5:00-7:00
     Excel 1, Wednesday, July 24, 5:00-7:00

Campus Opportunities and Groups

Grad Resource Fair
The Grad Resource Fair is your chance to learn about opportunities in graduate school at UW–Madison and visit with academic programs, graduate research scholar communities, and graduate student organizations. Anyone interested in graduate school at UW–Madison is welcome to attend the fair on Monday, July 22 from 1-3 pm in the Symphony Rooms at Gordon Dining & Event Center. Registration is not required for this event.

The Undergraduate Research Scholars Program
The Undergraduate Research Scholars (URS) Program is currently accepting project listings from faculty members, post-doctoral fellows, academic staff, and dissertators who would like to involve a first-year student or sophomore as a research or creative work assistant during the 2019-2020 academic year. The majority of Undergraduate Research Scholars are members of historically underrepresented groups: students of color, women in science and engineering, and/or first-generation college students. The benefits of working with a URS Scholar include the satisfaction of fostering the development of independent inquiry skills with a bright and eager student, acquiring valuable research assistance, supporting an undergraduate’s exploration of academic and career interests, and connecting directly with the experiences of undergraduates on campus. To become a URS mentor complete the online form and your project will be listed in our 2019-2020 offerings.

Postdoctoral Research Associate Position
The University of Wisconsin-Madison Dairy Brain Project invites applicants for a 12-month, full-time position of a Postdoctoral Research Associate position.  The successful candidate will be in charge on performing research on the interaction of big data, simulation, optimization techniques, expert systems and artificial intelligence as well as development of decision support tools, with the main aim of improving dairy farm decision making and management. The individual will work on the inception, development, and deployment of decision support tools and serve as a liaison among project’s graduate students, project’s faculty team in the departments of Dairy Science and Computer Science. To apply, please send an email to Victor E. Cabrera with a single attachment. This attachment must include: Cover letter arguing candidate’s professional match with position and possible project’s contributions, a curriculum vitae, and a reference page with the contact information for three professional references.

2019-2020 CDHA Postdoctoral Research Associates
The Center for Demography of Health and Aging (CDHA) at the University of Wisconsin- Madison invites applications for multiple postdoctoral research associate positions with research interests in one or more of the following areas: (1) applying advanced demographic and econometric methods to understand the importance of place of birth on later life health and mortality (2) applying demographic methods to understand Alzheimer’s Disease processes (3) applying biodemographic/genetic methods to Alzheimer’s Disease and other Aging processes The new postdocs will work in collaboration with Jason Fletcher, Alberto Palloni, Michal Engelman, Qiongshi Lu, Hyunseung Kang, and several other UW-Madison faculty on multiyear research projects funded by the National Institute on Aging. Appointments can start as early as August 2019, but start dates through January 2020 are possible.

CDHA Postdoctoral Fellowship
The Center for Demography of Health and Aging (CDHA) and the Initiative on Social Genomics at the University of Wisconsin- Madison invites applications for a postdoctoral research associate with research interests in biodemography / social science genetics / social genomics. The new postdoc will work in collaboration with Jason Fletcher and several other UW-Madison faculty on research projects that leverage the Wisconsin Longitudinal Study, National Longitudinal Study of Adolescent to Adult Health, Health and Retirement Study, UK Biobank, and others to pursue cutting edge gene-environment interaction analysis on important health and socioeconomic outcomes. The start date for the position is September 1, 2019 (earlier start dates are possible). The full position description can be found here.

Computational Plant Sciences (ComPS) Group
A common problem both bench and field plant scientists face is that advance in high-throughput measurement platforms have outpaced our 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. Over the summer ComPS will hold monthly meetings at 4:30pm at the Union Terrace on the first Wednesday of the month.

Research Systems Administrators Group (RSAG)
RSAG 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.edufor updates and future meetings.

External Opportunities

Deep Learning: Mathematical Foundations and Applications to Information Science 
The IEEE Journal on Selected Areas in Information Theory (JSAIT) seeks high quality technical papers on all aspects of Information Theory and its applications. JSAIT is a multi-disciplinary journal of special issues focusing on the intersections of information theory with fields such as machine learning, statistics, genomics, neuroscience, theoretical computer science, and physics. This special issue will focus on the mathematical foundations of deep learning as well as applications across information science. Prospective authors are invited to submit original manuscripts on topics within this broad scope including, but not limited to: Information theoretic methods for deep learning, robustness for training and inference, understanding generalization in over-parametrized models, efficient and compressed model representations, deep generative models and inverse problems, large-scale efficient training of large models, non-convex optimization in deep learning, and deep learning for source and channel coding. For details and templates, please refer to the IEEE Journal on Selected Areas in Information Theory Author Information webpage. All papers should be submitted through Scholar One by October 1, 2019.

Big Data Scientist Training Enhancement Program (BD-STEP)
The Big Data Scientist Training Enhancement Program (BD-STEP) postdoctoral fellowship is a joint effort between the US Department of Veteran Affairs and the National Cancer Institute.  In brief, BD-STEP fellows train and perform data science research on the VA’s large-scale clinical data sets under the guidance and mentorship of VA researchers and academic PIs.  Support for fellow stipends are provided along with additional funds for travel to annual BD-STEP meetings.  Applications are accepted from individuals who have completed (or are near completion) of their PhD in engineering, the physical sciences, or other related fields.  Some background in manipulating and analyzing large data sets and software development will definitely be beneficial.  There are BD-STEP sites located in Boston, Palo Alto, Houston, and Durham.

Biopharmaceutical Applied Statistics Symposium 
The Biopharmaceutical Applied Statistics Symposium (BASS) provides a forum for pharmaceutical and medical researchers and regulators to share timely information concerning the application of biostatistics in pharmaceutical environments. BASS XXVI will be held at the Hilton Charlotte University Place in Charlotte, North Carolina on Oct. 21-24, 2019. Dr. Karl E. Peace, BASS Founder, and the BASS Program Committee announce the continuation of a program of Travel Stipends to support doctoral students in biostatistics in attending BASS XXVI. BASS will reimburse up to 5 students for their travel expenses up to $1250. These expenses to include travel, hotel (BASS rate at the Hilton Charlotte University Place), food and BASS registration fees at BASS cost. Applications should be sent to Tony Segreti. Adviser recommendations should be sent to the same email address. The application deadline is August 30, 2019.

Midwest Big Data Hub Digital Agriculture Spoke: All-Hands Meeting
The third annual Midwest Big Data Hub Digital Agriculture All-Hands Meeting will serve as the culmination for the National Science Foundation project dedicated to bringing academics and commercial operators together around the topic of big data for agriculture. The Digital Agriculture Spoke of the Midwest Big Data Hub seeks to organize academic, industrial, and governmental sectors around the development of policies and best practices for data science and Big Data applications in agriculture, with a particular focus on automating the Big Data lifecycle for unmanned aircraft systems (UAS) and for plant sciences, phenomics, and genomics.

Data Science Forum 2019
September 17 – 18, Cornell University, Ithaca, NY
The Data Science Forum is an opportunity for institutions of higher education to share ideas, perspectives, and solutions designed to extract value from our institutional data.  Broad topics will include: data and infrastructure strategy; hiring the “right” expertise; big data, machine learning, and statistical modeling; privacy and legal concerns; and pitfalls and success stories. They would like to have as many institutions as possible participate in these discussions.  To that end, they ask that you send at most two representatives from your institution.  If in addition to your two representatives you have a speaker well suited to one of the topics listed on the registration form, please contact Cecilia Earls for special consideration.

Data Driven Wisconsin 2019
We are pleased to announce the fourth annual Data-Driven Wisconsin conference (formerly Big Data Wisconsin conference), to be held in Milwaukee on Wednesday, July 31.Jordan Ellenberg, NY Times best-selling author of How Not to Be Wrong: The Power of Mathematical Thinking will be giving our opening keynote and Cathy O’Neil, NY Times best-selling author of Weapons of Math Destruction: How Big Data Increase Inequality and Threatens Democracy will be giving the afternoon keynote.

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 newsletter@datascience.wisc.edu.

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