The Midwest Big Data Hub (MBDH) is a growing network of partners investing in data and data sciences to address grand challenges for society and science. Anyone is welcome to join these efforts. Announcements on new opportunities are listed below and additional activities are listed on our News & Events page.
Upcoming Talks, Webinars, and Events:
Short Course: Preparing a Big Data Spoke Proposal for NSF 17-546
Steering Committee Members Greg Monaco (GPN) and Jennifer Clarke (UN-L) will present a short proposal writing course covering how to respond effectively to the NSF Big Data Hub Project Solicitation. The course will consist of three classes that each focus on a different aspect of proposal development, including the opportunity for participants to ask questions and for feedback from the presenters.
Registration is free, but required, and each class may be singed up for individually or all together. Each session will be recorded.
Courses and Registration Links:
* July 28, ENCITE: Class 1: Overview & Project Summary: What do you hope to accomplish and how will this contribute to the BD Hubs
* August 4, ENCITE: Class 2: Project Description: Project Plan, Timeline, Metrics for success
* August 18, ENCITE:Class 3: Budget & Budget Justification
MIDWEST BIG DATA HACKATHON
September 16-17, 2017, University of Iowa
The Midwest Big Data Hackathon is a 2-day event bringing students from Midwest universities to work on creative ideas around big data applications. Student developers, designers, and data enthusiasts of all kinds can collaborate on exciting projects looking at the opportunities around analytics in the information we access every day.
This free event is open to students working or interested in working in big data domains (e.g. civic data, health and biological sciences, business, geoinformatics, digital agriculture, bioinformatics, and etc.) Major cross cutting areas for the hackathon will be data visualization, visual analytics, big data management, scientific computing (HPC, Cloud, GPU), virtual/augmented/mixed reality applications, novel hardware applications, and cyber-learning systems.