This summer Greg Monaco of GPN will present a FREE webinar series called Proposal Writing Short Course on Preparing a Big Data Proposal for NSF 17-546. There have been changes to this grant, and this webinar series will help you navigate them.
Registration is open for the first class, which will be held June 9 at 10:00 CDT.
Class 1: Overview and Getting Hub Approval by June 19, 2017
by Greg Monaco
This will be an overview of the NSF Big Data Hub Project Solicitation (https://www.nsf.gov/pubs/
An online Operating Innovative Networks Workshop is now available! Sign up now for June 21-22, 2017.
Registration open for the OIN Virtual Workshop
Completely Online Event Offers Hands-on Training in SDN, Science DMZ, DTNs, perfSONAR, and Science Engagement
June 21-22, 2017
Available completely online! Connection information will be shared with registered attendees. Please share with members of your campus community!
No registration fee!!
Register here: http://goo.gl/MpN85u
ESnet, Indiana University, and Internet2 are hosting a completely virtual version of the Operating Innovative Networks (OIN) workshop on June 21-22 2017. The series is designed to help lab and campus network engineers deploy next-gen research networks that can effectively support data-intensive science. Sessions will be available throughout the day on the topics typically presented in an in-person workshop, but will be modified for the virtual audience. Due to timezone considerations, the presentations will run between 6am EDT and 6pm EDT over the two days, and will also be recorded for future use.
The workshop will consist of 2-days of material for building and deploying Science DMZs, Software Defined Networks, perfSONAR, Data Transfer Nodes, and Science Engagement. The content will be particularly useful for NSF Campus Cyberinfrastructure awardees that are being funded to upgrade their networks with these technologies, or those looking to prepare for the next CC* solicitation. By the end of the event, attendees will have a better understanding of the requirements for supporting scientific use of the network, architectural strategies that can simplify these interactions, and knowledge of tools that can mitigate problems users may encounter.
For complete information on the program and registration details, visit: https://goo.gl/bC142C
This workshop will be completely online, but we are asking participants to register so we can share information about connectivity and materials.
Questions about this workshop can be directed to: email@example.com
Midwest Big Data Summer School
July 10-14, 2017
Memorial Union, Iowa State University
There is travel support available.
The Midwest Big Data Hub would like to invite everyone to the 2017 Midwest Big Data Summer School for Early Career Researchers. This summer school will be held from July 10-14, 2017 in Ames, Iowa. This summer school is designed as a one-week, intensive curriculum aimed at early career researchers to get them started in data-driven research. The school will include full-day lectures on topics ranging from: data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context.
Registration: There is limited space so send your registration soon.
Travel Support: We have a limited amount of travel support available for non-ISU participants. To be considered for travel support, please register by June 9, 5:00 pm and apply for travel support white registering. Application details are available from http://mbds.cs.iastate.edu
The NSF has called for proposals to develop the next generation of HPC, called the Phase 1 system, with the option of a possible future upgrade to a leadership-class computing facility. This will:
- Serve as a robust, well-balanced, and forward-looking computational asset for a broad range of research topics for which advances in fundamental understanding require the most extreme computational and data analysis capabilities.
- Serve as an evaluation platform for testing and demonstrating the feasibility of an upgrade to a leadership-class facility five years following deployment.
Anticipated Type of Award: Cooperative Agreement
Estimated Number of Awards: 1
Anticipated Funding Amount: $60,000,000