Announcing a new summer workshop!
Big Data Training for Translational Omics Research
Purdue University is pleased to announce the first Annual NIH-funded workshop on “Big data training
for translational omics research” in West Lafayette, IN on July 11 – 22, 2016. The two-week workshop will focus on providing biomedical researchers inexperienced in biomedical big data science with entry level training in big data science. The format of the workshop includes a series of problem-based activities to build familiarity and basic competency with established tools and publically available resources. These activities will be complemented by formal lectures on various topics important for big data science. The course is open to faculty, post-doctoral researchers, and graduate students.
The costs of tuition, room, and board are covered for accepted applicants!
For additional information and the online application please visit:
http://www.stat.purdue.edu/bigtap/index.html
Application reviews will begin on April 11, 2016.
Please distribute this e-mail and the attached flyer to anyone you think might benefit from attending.



First offered in the fall of 2013 and then again in spring 2014, “Documenting a Fashion Icon: The UC Bonnie Cashin Collection” is a ‘test kitchen,’ hands-on course that incorporates trans-disciplinary inquiry and discourse, student crowd sourcing power, and Millennials’ innate love for technology, social media and images, to investigate, interpret, digitize and widely disseminate authoritative information about an important collection of garments (from the DAAP Historical Garments Collection) designed by Bonnie Cashin.
This summer, Langsam Library was a busy place as over 4,000 incoming students participating in UC New Student Orientation visited and learned about all that UC Libraries has to offer. While here, they engaged in activities designed to be entertaining while at the same time informative about the various research resources, assistance, and library services they can take advantage of when they return in the fall.