The National Microbiome Data Collaborative Data Portal: an integrated multi-omics microbiome data resource
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Eloe-Fadrosh, Emiley A↗
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Results for “collaborative”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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MIRAGE: A Framework for Data-Driven Collaborative High-Resolution Simulation
Information about how human populations shift in response to various stimuli is limited because no single model is capable of addressing these stimuli simultaneously, and integration of the best existing models has been challenging because of the vast disparity among constituent model purposes, architectures, scales, and execution environments. To demonstrate a potential model coupling for approaching this problem, three major model components are integrated into a fully coupled system that executes a worldwide infection-infected routine where a human population requires a food source for sustenance and an infected population can spread an infection when it is in contact with the remaining healthy population. To enable high-resolution data-driven model federation and an ability to capture dynamics and behaviors of billions of humans, a high-performance computing agent-based framework has been created and is demonstrated in this chapter.
60 APPLIED LIFE SCIENCES↗
Methods and Issues for the Combined Use of Integral Experiments and Covariance Data: Results of a NEA International Collaborative Study
N/A
73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
Human-in-the-Loop Robot Control for Human-Robot Collaboration: Human Intention Estimation and Safe Trajectory Tracking Control for Collaborative Tasks
Not provided.
Automation & Control Systems↗
Collaborative Analytics for Biological Facility Characterization.
Abstract not provided.
Caswell, Jacob↗
Collaboration on SBIR/TTO Phase II Project for Optical QC Device and Collaboration on SBIR/TTO Phase II-b Project for Advanced Quality Inspection Device Development: Cooperative Research and Development CRADA Number CRD-16-00652 (Final Report)
The overall goal of this program is to develop and commercialize a turnkey quality control solution for the entire PEM fuel cell manufacturing process including membrane, gas diffusion layers, catalyst, and assembled systems. This quality control solution is unique to each customer’s specific needs but includes a suite of in-line quality control systems for roll-to-roll manufacturing that can target thin, transparent membrane as well as opaque membrane, catalyst, and GDLs. The Phase II developed the CPNUVV system for thin, transparent membrane that operates using polarized filters to enhance defect resolution and determine thickness. However, PEM material manufacturers want a complete, turnkey solution for all components of the PEM fuel cell. In the Phase IIB, Mainstream will partner with NREL, and transition reflectance technology NREL developed (US Patent 9,234,843) to operate in real-time on a web-line to develop a total solution to PEM quality control. The device will identify and mark defects as well as monitor materials thickness in real-time to improve line efficiency and to reduce waste. The research performed at NREL under this CRADA increases the basis of knowledge about optical inspection methods, how they perform with regards to fuel cell component materials, and how they can be implemented in in-line, real-time configurations to provide quality inspection for roll-to-roll (R2R) manufacturing. Methods explored were found to be sensitive to catalyst loading in electrodes on both membrane and gas diffusion media substrates and to membrane thickness, across a broad range of thickness. The latter capability is novel and now patented and provides a previously unstudied and undemonstrated capability for R2R manufacturing of membranes.
30 DIRECT ENERGY CONVERSION↗
Human-building collaboration: a case study on lighting enabled collaborative system design
This thesis explores the use of design concepts in lighting and space simulations to derive how spatially adjustable lighting (intensity, direction and color) can impact building energy savings and human factors (glare) considerations.
Varsami, Constantina↗
Exploiting the Use of Social Networking to Facilitate Collaboration in the Scientific Community
The goal of this project was to exploit social networking to facilitate scientific collaboration. The project objective was to research and identify scientific collaboration styles that are best served by social networking applications and to model the most effective social networking applications to substantiate how social networking can support scientific collaboration. To achieve this goal and objective, the project was to develop an understanding of the types of collaborations conducted by scientific researchers, through classification, data analysis and identification of unique collaboration requirements. Another technical objective in support of this goal was to understand the current state of technology in collaboration tools. In order to test hypotheses about which social networking applications effectively support scientific collaboration the project was to create a prototype scientific collaboration system. The ultimate goal for testing the hypotheses and research of the project was to refine the prototype into a functional application that could effectively facilitate and grow collaboration within the U.S. Department of Energy (DOE) research community.
99 GENERAL AND MISCELLANEOUS↗
Expanding Collaborative Capacity to Address Climate Resiliency in the Great Lakes Region
U.S. Department of Energy (DOE), Office of Science, Award DE-SC0023215, Expanding Collaborative Capacity to Address Climate Resiliency in the Great Lakes Region, supported capacity and partnership building between researchers at Central Michigan University (CMU) and scientists at DOE laboratories. The work involved identifying potential collaborations both internal to CMU and between CMU researchers and DOE staff, developing collaborative research proposals, and partnering on pilot-scale research projects focused on enhancing resilience of Great Lakes communities, ecosystems, and infrastructure to global change and environmental stressors. DOE funds supported travel, time to develop collaborations, investigate new research pathways, and draft grant proposals, and a loan of DOE equipment to collect pilot data in support of future work. The project achieved its goal of strengthening research collaborations between interdisciplinary researchers at CMU and establishing new collaborations and partnerships between CMU and DOE scientists. These collaborations resulted in 5 pre-applications and 4 full applications for funding to DOE BER Funding Opportunities, a successfully funded DOE BER award (DE-SC0025260), a new pilot project that leveraged DOE resources (AquaBOT) to improve understanding of water quality conditions in Michigan rivers, and two presentations of preliminary results at national scientific conferences. This project’s outcomes will benefit the Great Lakes Region via new lines of collaborative research focused on improving the resilience of Michigan communities, ecosystems, and infrastructure.
58 GEOSCIENCES↗
A Collaboration Website for Muon Catalyzed Fusion and Muon Beam Production
This research initiative establishes a dynamic online platform geared towards supporting the burgeoning Muon Catalyzed Fusion collaboration, focusing on the concurrent development of particle accelerators and transport beamlines for muon beams. The central feature of this endeavor is the creation of a multifaceted website comprising both public facing and private sections to cater to diverse user needs. The public segment is meticulously designed to serve as an educational hub, featuring information pages targeted at the general public alongside private pages exclusively accessible to collaboration members. These pages will host an array of multimedia elements, ranging from images and text animations to video lectures, covering an extensive spectrum of topics integral to the science of Muon Catalyzed Fusion. Encompassing areas such as Acceleration, Applications, Instrumentation, Beamline Design, and beam dynamics design codes, the educational content aims to make complex scientific concepts more accessible to a broader audience. Ensuring seamless accessibility across various devices and operating systems, the website incorporates integration with collaborative tools such as Google Docs for document collaboration, GitHub for code repository management, and WordPress for blogging with interactive commenting features. The bifurcation between public and private sections is a strategic approach to maintaining transparency while safeguarding proprietary research and works in progress. The public pages are strategically crafted to disseminate information, showcasing the latest endeavors and achievements within the NK Labs collaboration, including lectures, published papers, and regular blog posts open to public comments. On the other hand, the private section provides collaboration members with a secure space to share unpublished or nonpublic research, fostering collaborative efforts through integrated Google Docs and Python Plotty for shared graphing work. In essence, this ambitious project endeavors to bridge the gap between complex scientific knowledge and public understanding, enhance collaboration among researchers, and serve as a dynamic and inclusive platform for sharing and advancing the state-of-the-art in Muon Catalyzed Fusion and Accelerators.
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS↗
Collaborative development of the EPICS Qt framework Phase I Final Report
At Lyncean, a private company spun-off from technology developed at the SLAC National Lab, we have been using EPICS for over a decade. EPICS is ubiquitous on our flagship product – the Compact Light Source. EPICS is not only used to control our laser and accelerator systems, but also to control our x-ray beamlines. The goal of this SBIR is for Lyncean Technologies to spearhead a worldwide collaborative effort for the development of control system tools for EPICS using the Qt framework, a C++-based coding environment that could serve as a competitive alternative to the Java-based Control System Studio (CSS). This grant's Phase I, not unlike a feasibility study, is designed for planning and scoping the preparatory work needed for Phase II or other funding opportunities. The three main objectives of this Phase I are (1) to become better acquainted with the existing EPICS Qt software and Qt framework in order to evaluate the best options for ongoing development, (2) to demonstrate that our engineers can lead the EPICS community and jump-start the Qt collaboration, and (3) to identify a scope for our future work with solicited feedback from the EPICS community. This Phase I report includes key technical findings. It clarifies the differences between the two apparently-competing EPICS Qt implementations, caQtDM and the QE Framework; it explains how to create python-bindings, and compares Qt graphical libraries. But this report is also a personal story that narrates the birth of a collaboration. Starting a collaboration is not the work of a single individual, but the work of many. Therefore this report is also an attempt to publicly give credit to many who supported the effort. The main take-away from this grant is the successful birth of an EPICS Qt collaboration, seeded with existing software from the PSI and the Australian Synchrotron. But a lot more needs to be done for the collaboration founders' vision to be realized, and for the collaboration to reach its full potential. To help define the scope of future work, a useful approach we have identified is user experience design (UXD) and is discussed herein.
43 PARTICLE ACCELERATORS↗
Time allocations across collaborations of academic scientists and their impact on efforts to commercialize novel technologies: is more always better?
We investigate how time spent in different collaborative research arrangements by academic scientists affect their propensity of involvement in the commercialization of novel, university‐originated technologies. Three common collaborative strategies used by academic scientists: (1) internal (within the research group or within the home university) research collaboration; (2) cosmopolitan research collaboration (with scientists in other US or foreign universities); or (3) university–industry research collaboration are assessed. Drawing on the concepts of cognitive and spatial distance, the empirical findings suggest that only one internal research collaboration strategy has a significant impact on the propensity of academic scientists to engage in the commercialization of novel technologies with a private firm; however, this relationship is inverse U shaped. More importantly, academic scientists adopting a university–industry collaboration strategy and spending more research time in such an arrangement have a significantly stronger propensity for being involved in technology commercialization with a private firm; however, this relationship is inverse U shaped as well. We discuss the managerial and policy implications of the findings.
Libaers, Dirk↗
Energy Efficiency Collaboratives
Collaboratives for energy efficiency have a long and successful history and are currently used, in some form, in more than half of the states. Historically, many state utility commissions have used some form of collaborative group process to resolve complex issues that emerge during a rate proceeding. Rather than debate the issues through the formality of a commission proceeding, disagreeing parties are sent to discuss issues in a less-formal setting and bring back resolutions to the commission. Energy efficiency collaboratives take this concept and apply it specifically to energy efficiency programs—often in anticipation of future issues as opposed to reacting to a present disagreement. Energy efficiency collaboratives can operate long term and can address the full suite of issues associated with designing, implementing, and improving energy efficiency programs. Collaboratives can be useful to gather stakeholder input on changing program budgets and program changes in response to performance or market shifts, as well as to provide continuity while regulators come and go, identify additional energy efficiency opportunities and innovations, assess the role of energy efficiency in new regulatory contexts, and draw on lessons learned and best practices from a diverse group. Details about specific collaboratives in the United States are in the appendix to this guide. Collectively, they demonstrate the value of collaborative stakeholder processes in producing successful energy efficiency programs.
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗
Collaboratory=Collaborate+Laboratory: The Mid-Columbia STEM Education Collaboratory
Pacific Northwest National Laboratory created a network focused on collaboration in STEM education to design and deliver projects, resources, and professional learning opportunities in a testbed environment. How do you uncover and fill gaps in equitable access to high-quality science, technology, engineering, and math (STEM) education offerings in your local region? Where might you deploy strategies to improve STEM workforce preparation and increase public understanding of STEM-oriented issues? And how can you help to ensure that students, educators, parents, and the community are aware of these programs and know how to access them in schools, colleges, and community venues? If you are the Pacific Northwest National Laboratory (PNNL), you take on the huge goal of designing and implementing an innovative STEM education collaboration project that impacts all levels of local education, both inside and outside of school settings. PNNL is one of the 17 national laboratories funded by the U.S. Department of Energy. Operated by Battelle, PNNL has a vested interest in preparing the next generation of scientists and engineers for their future careers, thus building a STEM-capable workforce and creating a STEM-literate community. One of Battelle’s core principles is a commitment to STEM education and its role in business competitiveness and quality of life. PNNL has been active in STEM education for decades, providing internships for future scientists, giving educators in-house lab experiences, and engaging its researchers in STEM outreach activities in classrooms and the community. The Collaboratory is a relatively recent outcome of Battelle’s longstanding efforts in STEM education. The original Collaboratory planning documents, developed by PNNL’s Office of STEM Education (OSE), state the objective to “design, implement, and mature a local STEM education collaboration zone that highlights the power of PNNL and Battelle to impact the educational ecosystem and serve as a model for amplifying and accelerating progress in addressing our STEM education and workforce challenges” (PNNL 2013). In other words, we (the OSE) sought to create a zone of collaboration in which members co-design and deliver STEM education programs, share findings and lessons learned from their experiences, and co-manage and sustain the organization. We started by identifying possible collaborators located nearby in the largely rural southeast corner of Washington State. Recognizing that our potential collaborators had differing norms, values, and relationships within the community, as well as their own areas of expertise and purpose, we convened representatives from K–12 public and private schools, higher education, community-based learning providers, and local business and industry to brainstorm a unified vision to resolve gaps in local STEM education needs. Through discussions with these collaborators, we started hunting for gaps where STEM efforts were lacking but a desire to improve existed. We gave ourselves permission to try things out and built a testbed space where we could experiment with new ideas, gather evidence of feasibility, and treat failures as constructive learning opportunities. Through this generative process and with seed funding from Battelle, inter-organizational teams now work together, both virtually and in real time, to develop, test, and deploy resources to support student success, educators’ effectiveness, and community engagement in STEM. Thus, the Mid-Columbia STEM Education Collaboratory (Collaboratory) was born. This is the story of our beginnings: our challenges, our lessons learned, and emerging indicators of success. For those interested in launching an education–business–community STEM learning ecosystem, we share our story.
Collaboratory↗
Panel Session 115: Collaboration Across Borders to Deliver Cleanup and Decommissioning Challenges
This panel focused on where multiple countries have collaborated to solve difficult remediation and cleanup challenges through either formal or informal means. The focus was to share real examples of where collaboration has accelerated cleanup saving time and money. This could be through policy or process improvements, technology transfer or sharing R and D, or other means of collaborative efforts. Panelists with presentations: Canada-AECL Collaboration Across Borders (Richard Sexton, Alastair MacDonald); Collaboration Across Borders to Deliver Cleanup and Decommissioning Challenges (Anthony Banford); IAEA Perspective on International Collaboration in D and ER (Horst Monken Fernandes); How, Why and Benefits of Collaboration (Kurt Gerdes)
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
Research Collaboration Analysis Using Text and Graph Features
Patterns of scientific collaboration and their effect on scientific production have been the subject of many studies. In this paper we analyze the nature of ties between co-authors and study collaboration patterns in science from the perspective of semantic similarity of authors who wrote a paper together and the strength of ties between these authors (i.e. how much have they previously collaborated together). These two views of scientific collaboration are used to analyze publications in the TrueImpactDataset [11], a new dataset containing two types of publications - publications regarded as seminal and publications regarded as literature reviews by field experts. We show there are distinct differences between seminal publications and literature reviews in terms of author similarity and the strength of ties between their authors. In particular, we find that seminal publications tend to be written by authors who have previously worked on dissimilar problems (i.e. authors from different fields or even disciplines), and by authors who are not frequent collaborators. On the other hand, literature reviews in our dataset tend to be the result of an established collaboration within a discipline. This demonstrates that our method provides meaningful information about potential future impacts of a publication which does not require citation information.
Herrmannova, Dasha↗
Cross-boundary collaboration in waste management research: A network analysis
Highlights: • No core scholars stood out from cross-boundary research collaboration networks. • No institution occupied a critical position. • Old-line developed countries stay in the center of research than developing ones. • More research has focused on “hard” technologies than “soft” measures. • CBRC from different perspectives were limited but increasing steadily over time. - Abstract: This paper aims to illustrate the cross-boundary research collaboration (CBRC) landscape of waste management (WM) by various collaboration networks. Through a set of rigorous procedures, a total of 15,396 research papers were extracted from eight subject-related journals published between 1981 and 2016. The authors utilized CiteSpace, a Java programme that helps visualize and dissect patterns in scientific literature, to evaluate the content through individual, institutional, national, and disciplinary perspectives. The evaluations of three former perspectives revealed a steady rise in CBRC within WM over the last thirty-five years, although the overall intensities proved fairly low. Inter-individual collaboration groups were limited to their respective regions and only loosely connected, but as more and more academic institutions and universities engaged in WM research, the number and quality of the collaborations increased. Developed countries, chiefly in North America and Western Europe, comprised the bulk of the WM research, whilst the mounting contributions from developing countries, China in particular, forecasts greater diversity in the future. The analysis also suggested that the intensity of the interdisciplinary collaboration network declined slightly, however, the intensity proved low to begin with. Previous WM research focused more on “hard” technologies than “soft” measures. Future endeavors to encourage CBRC in WM should promote more innovative research to tackle waste challenges globally in a sustainable way.
54 ENVIRONMENTAL SCIENCES↗
An Integrated Platform for Collaborative Data Analytics
While collaboration among data scientists is a key to organizational productivity, data analysts face significant barriers to achieving this end, including data sharing, accessing and configuring the required computational environment, and a unified method of sharing knowledge. Each of these barriers to collaboration is related to the fundamental question of knowledge management “how can organizations use knowledge more effectively?”. In this paper, we consider the problem of knowledge management in collaborative data analytics and present ShareAL, an integrated knowledge management platform, as a solution to that problem. The ShareAL platform consists of three core components: a full stack web application, a dashboard for analyzing streaming data and a High Performance Computing (HPC) cluster for performing real time analysis. Prior research has not applied knowledge management to collaborative analytics or developed a platform with the same capabilities as ShareAL. ShareAL overcomes the barriers data scientists face to collaboration by providing intuitive sharing of data and analytics via the web application, a shared computing environment via the HPC cluster and knowledge sharing and collaboration via a real time messaging application.
Oesch, T↗