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CADRE Conference in KC: Economics and HPC

July 10, 2017

The Federal Reserve Bank of Kansas City’s  (KC Fed) Center for the Advancement of Data and Research in Economics (CADRE) is soliciting presentations and participation in the third Economic Research in High Performance Computing (HPC) Environments workshop on October 11-12, 2017.  The theme this year is “HPC and Advancing the Economic Research Agenda.” Please see below for additional information on the presentations they are seeking.

Attached to this blog post is a flyer to pass around to anyone who may be interested: FRBKC_CfP_HPC_2017

Attendance is free but registration is required and space is limited.  If you are interested in presenting or have faculty that would be interested in presenting, please send an email to cadre@kc.frb.org.  Please share this information with interested colleagues.

Registration and information on travel and lodging will be available later in the summer.

The theme of this year’s workshop is “HPC and Advancing the Economic Research Agenda.” As we continue with CADRE’s mission of supporting, enhancing, and advancing data or computationally intensive economic research, we are looking to provide examples of and guidance for how high performance computing can shape the economic research landscape.

To that end, the KC Fed seek two types of presentations:

  • Economic research that was fundamentally enabled or vastly improved by the use of HPC techniques and technologies. The presentations should highlight the role of the proper utilization of HPC and emphasize the costs and benefits of that utilization over alternative techniques and technologies.
  • Technology and methodological applications that might help shape the economic research landscape in the future. As new technologies and techniques become more visible in the statistics, computer science, and technology realms, how might we think about applications for economic and financial research? Some examples might be, but are not limited to:
    • Using R with Big Data
    • Natural language processing and understanding
    • Large-scale neural networks and deep learning
    • Agent-based modeling with GPUs
    • Automated machine learning at scale
    • Containerization for sharing and reproducibility

The KC Fed is especially interested in presentations that can connect new or emerging applications to estimation or simulation approaches similar to those done in the economic or financial literature.

NSF Grant: Computer and Network Systems (CNS): Core Programs

July 7, 2017

The NSF just announced this year’s CNS Core Programs.  This year there are several categories as well as small, medium, and large grants.

https://www.nsf.gov/pubs/2017/nsf17570/nsf17570.htm

There are two core programs in this grant: Computer Systems Research (CSR) and Networking Technology and Systems (NeTS).

For this solicitation, there are three CSR highlighted areas: Embedded and Real-time Systems (ERS), Edge Computing (EC) and Extensible Distributed Systems (EDS).

The NeTS areas are Network Analytics and Management, Wireless Network Architectures and Protocols, Next-Generation Virtualized Networks/Infrastructure, and Optical Networking.

Here are some details on the small, medium, and large grants:

  • Small Projects, with total budgets up to $500,000 for durations of up to three years
  • Medium Projects, with total budgets ranging from $500,001 to $1,200,000 for durations up to four years
  • Large Projects, with total budgets ranging from $1,200,001 to $3,000,000 for durations of up to five years (may only be submitted to the NeTS)

Submission Window Dates (due by 5 p.m. submitter’s local time):

  • MEDIUM Projects: September 20, 2017 – September 27, 2017
  • LARGE Projects: September 20, 2017 – September 27, 2017
  • SMALL Projects: November 01, 2017 – November 15, 2017

ENCITE Short Webinar Course: Proposal Writing for Big Data Hub

June 30, 2017

Greg Monaco of GPN and Jennifer Clarke of University of Nebraska – Lincoln (UNL) present an online three class course  for responding effectively to the NSF Big Data Hub Project Solicitation (https://www.nsf.gov/pubs/2017/nsf17546/nsf17546.htm). Each class will focus on a separate aspect of proposal development.

Update, July 5: The first class is now July 28 instead of the 21st. Those who have already registered don’t have to do anything further.

 

Follow the links to register for the classes.

Dr. Greg Monaco has been involved in grant proposal preparation since receiving his Ph.D. from Kansas State University. He served for 3 years as a program director/computer scientist at the National Science Foundation. At NSF he developed funding programs, convened review panels and made final award recommendations. In addition, Greg has served on review and oversight panels for the Department of Energy, National Endowment for the Humanities, National Science Foundation, and other state and federal research agencies. He is a member of the KSU research faculty in the Department of Psychological Sciences and serves as Director for Research and Cyberinfrastructure Initiatives with the Great Plains Network.

Jennifer Clarke, Ph.D., is a Professor of Food Science and Technology, and Statistics, and the Director of the Quantitative Life Sciences Initiative at the University of Nebraska-Lincoln. Dr. Clarke received her undergraduate degrees in Mathematics and Psychology from Skidmore University, a M.S. in Statistics from Carnegie Mellon University and a Ph.D. in Statistics from the Pennsylvania State University under the mentorship of C.R. Rao. She conducted postdoctoral research at the National Institute of Statistical Sciences in Research Triangle Park and the Department of Statistical Sciences at Duke University before joining the faculty at Duke. Prior to coming to UNL in 2013, she was a faculty member at the University of Miami in the Division of Biostatistics and the Center for Computational Sciences. She serves on the steering committee of the Midwest Big Data Hub and is co-PI on an award from the NSF focused on data challenges in Digital Agriculture. Her current interests include statistical methodology for metagenomics and prediction, and training the next generation of data scientists.

Virtual Residency Summer Workshop on “How to Be a More Effective Research Computing Facilitator”

June 26, 2017

Free online and in person workshop.

Sun July 30 (dinnertime) – Fri Aug 4 (dinnertime) 2017

LIVE onsite in person
AND
LIVE remotely via videoconferencing!

Seats are going fast!

  • Onsite: only 1 of 50 seats left
  • Remote: many connections left, thanks to a license donation!

Registration:

https://www.eventbrite.com/o/aci-ref-virtual-residency-10618773713

Please feel free to forward this to anyone who may be interested and appropriate.

Does your institution have lots of researchers and educators who want to use advanced computing, but need some help learning how?

You or someone at your institution can learn to be more effective at helping researchers and educators use Research Cyberinfrastructure (CI)!

128 research computing facilitators from 84 institutions in 37 US states and territories and 3 other countries have already participated in the workshops, and over 100 have participated in our twice-monthly calls.

Clarifying, since this question has come up in the past: You *DON’T* have to any affiliation with the Clemson-led ACI-REF/CaRC effort, in order to participate in the 2017 Virtual Residency — though of course anyone in that group is welcome to
apply!

The workshop will begin Sunday evening with a a welcome/introductory session.

We’ll then run all day each day for the full week, finishing Saturday before lunch.

(This year, we *MAY* decide to end Friday at dinnertime instead.)

Workshop participants will be expected to give a brief presentation (5 minutes) on a project that they intend to carry out at their home institution after the workshop ends. (This includes remote participants.)

Workshop participants will also be expected to commit to participate in the following:

  • a Virtual Residency conference call of one hour roughly every other week during the regular academic year, for the next two academic years;
  • the Virtual Residency mailing list;
  • a second summer workshop, in the subsequent year.

Below is the agenda from the 2016 workshop, to give a sense of the kinds of things we plan to cover in 2017 (which will be similar but not identical):

http://www.oscer.ou.edu/acirefvirtres2016/

What we did in 2016 on SUNDAY
— Overview of the ACI-REF Virtual Residency
— Introduction to Research Cyberinfrastructure Facilitation
— How to Give a CI Tour, and Why

What we did in 2016 on MONDAY
— Effective Communication: How to Talk to Researchers about Their Research
— Deploying Community Codes
— Debugging, Benchmarking and Tuning
— Real Users and Their CDS&E Research
— Faculty: Tenure, Promotion, Reward System

What we did in 2016 on TUESDAY
— Grant Proposal Basics
— Exploring the Faculty Entrepreneurial Mindset
— How to Do an Intake Interview
— “Speed Dating” — Practicing the Intake Interview
— Best Practices and Lessons Learned from the
— ACI-REF Phase 1 Project and Network
— Panel: Ongoing Assistance of Researchers

What we did in 2016 on WEDNESDAY
— The CI Milieu
— Creating and Evaluating Training Workshops
— Panel: Creating Effective CI Documentation and Other Learning Materials

What we did in 2016 on THURSDAY
— The Shifting Landscape of CI Funding Opportunities
— How to Design a Cluster
— Cyberinfrastructure User Support
— Real Users and Their CDS&E Research
— “Speed Dating” — Practicing the Intake Interview

What we did in 2016 on FRIDAY
— So You Want to Write a Cyberinfrastructure Proposal
— Panel: Research Data Management
— Roundtable: Stories from the Trenches
— Project work time
— Project presentations

What we did in 2016 on SATURDAY
— Project presentations