Abstract. Global change research demands a convergence among academic disciplines to understand complex changes in Earth system function. Limitations related to data usability and computing infrastructure, however, present barriers to effective use of the research tools needed for this cross-disciplinary collaboration. To address these barriers, we created a computational platform that pairs meteorological data and site-level ecosystem characterizations from the National Ecological Observatory Network (NEON) with the Community Terrestrial System Model (CTSM) that is developed with university partners at the National Center for Atmospheric Research (NCAR). This NCAR–NEON system features a simplified user interface that facilitates access to and use of NEON observations and NCAR models. We present preliminary results that compare observed NEON fluxes with CTSM simulations and describe how the collaboration between NCAR and NEON that can be used by the global change research community improves both the data and model. Beyond datasets and computing, the NCAR–NEON system includes tutorials and visualization tools that facilitate interaction with observational and model datasets and further enable opportunities for teaching and research. By expanding access to data, models, and computing, cyberinfrastructure tools like the NCAR–NEON system will accelerate integration across ecology and climate science disciplines to advance understanding in Earth system science and global change.
more »
« less
On Launching Ask.CI, a Q&A Platform for Research Computing, Using StackExchange and Discourse
Abstract: In September, 2017, the Northeast Cyberteam Initiative began a project to build Ask.Cyberinfrastructure.org, aka Ask.CI, a Q&A site which will allow the research computing community to achieve better/faster research results by making it easier to leverage/share experience and knowledge. Establishing a Q&A site of this nature requires some tenacity. In partnership with the Campus Champions, we have gained some traction, and hope to engage the broader community to firmly establish this platform as a tool for the global research computing community. At this BoF, we will describe the process to-date, and interactively encourage the audience to join the effort.
more »
« less
- Award ID(s):
- 1659377
- PAR ID:
- 10092132
- Date Published:
- Journal Name:
- SC18 Proceedings
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
With the growth of computing education research in the last decade, we have found a call for a strengthening of empiricism within the computing education research community. Computer science education researchers are being asked to focus not only the innovation that the research creates or the question it answers, but also on validating the claims we made about the work. In this session, we will explore the relationship between evaluation and computing education research and why it is so vital to the success of the many computing education initiatives underway. It will also help computing faculty engaged in computer science education research understand why it is essential to integrate evaluation and validation from the very first conceptual stages of their intervention programs.more » « less
-
With the growth of computing education research in the last decade, we have found a call for a strengthening of empiricism within the computing education research community. Computer science education researchers are being asked to focus not only the innovation that the research creates or the question it answers, but also on validating the claims we made about the work. In this session, we will explore the relationship between evaluation and computing education research and why it is so vital to the success of the many computing education initiatives underway. It will also help computing faculty engaged in computer science education research understand why it is essential to integrate evaluation and validation from the very first conceptual stages of their intervention programs.more » « less
-
With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC) has emerged as a major computing paradigm. Compared to cloud computing, MEC integrates network control, computing, and storage to customizable, fast, reliable, and secure distributed services that are closer to the user and data site. Although a popular research topic, MEC resource management comes in many forms due to its emerging nature and there exists little consensus in the community. In this survey, we present a comprehensive review of existing research problems and relevant solutions within MEC resource management. We first describe the major problems in MEC resource allocation when the user applications have diverse performance requirements. We discuss the unique challenges caused by the dynamic nature of the environments and use cases where MEC is adopted. We also explore and categorize existing solutions that address such challenges. We particularly explore traditional optimization-based methods and deep learning-based approaches. In addition, we take a deeper dive into the most popular applications and use cases that adopt MEC paradigm and how MEC provides customized solutions for each use cases, in particular, video analytics applications. Finally, we outline the open research challenges and future directions. 1more » « less
-
Most students readily see the value of studying computing as a path to a good job and know that the application of computing can generate business value. At the same time, we now face a world where pervasive computing is enabling a misalignment between business value and social value. However, computing also holds the potential to drive positive social change and to serve the greater good. This talk will discuss how some of the recent revisions to the computer science major at Dickinson College elevate this potential. A thread emphasizing computing for the greater good that now runs through our courses engages students in Free and Open Source Software (FOSS) with explicit humanitarian goals (HFOSS). The missions of these HFOSS communities provide real examples of ways in which computing can be focused intentionally on creating a positive social impact. At the same time, learning and working with HFOSS tools, processes, artifacts and community members builds the hard and soft skills that students and employers want. Students are exposed to FOSS concepts and examples of HFOSS in our first course. A sequence of two ½ courses at the intermediate level familiarize students with FOSS communities and build their technical skills by engaging them in an authentic HFOSS project. This project is FarmData2, which we manage in collaboration with the Dickinson College organic farm. In a year-long senior capstone students research FOSS and HFOSS projects/communities that are of interest to them. They then form teams, choose projects and engage with their selected project communities “in the wild.” Details on some of the activities that students complete and examples of the types of contributions they have made both to FarmData2 and to the projects they have chosen in the capstone will be given. Analyses of pre/post course survey data and the types of projects selected in the capstone will be presented. These analyses suggest that (1) students gain an appreciation that they can use computing to contribute to the greater good, (2) that they become more likely to continue contributing to FOSS or HFOSS projects and (3) that engaging students in HFOSS holds potential for broadening participation in computing.more » « less
An official website of the United States government

