Collaborative Research: North East Cyberinfrastructure Consortium
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Notice bibliographique
Résumé
EPS-0918284, University of Vermont & State Agricultural College, J. L. Van Houten, linked to EPS-0918033 (University of New Hampshire), EPS-0918078 (University of Delaware), EPS-0918018 (University of Maine), EPS-0918061 (University of Rhode Island) Collaborative Research: North East Cyberinfrastructure Consortium This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The North East Cyberinfrastructure Consortium (NECC) unites Maine (ME), New Hampshire (NH), Vermont (VT), Rhode Island (RI), and Delaware (DE) to support cyber-enabled research that requires analyses of large datasets. The project is organized around sharing resources, expertise and facilities in order to make cyber-enabled collaborative research possible in a sparsely populated region and among non-contiguous states. Intellectual Merit. The consortium has three primary needs to support regional, cyber-enabled research: 1) long-term leases on fiber in specific reaches across the northeast to provide high-speed connectivity with dense-wave division capability; 2) redundant, distributed Data Centers for regional cyber-enabled collaborations; and 3) cyber-knowledgeable personnel to allow researchers to access regional compute, analysis and visualization resources. Much of the physical infrastructure required for the NECC network exists, but there are four key reaches of fiber needed in ME, NH, RI and VT. In ME, two stretches are required to provide a redundant route for national and international connectivity through CANARIE (Canada's advanced network organization) and along the I-95 corridor. A fiber route along the I-89 corridor provides connectivity to Boston for Vermont and New Hampshire to Boston. The researchers have been working with the Northeast Research and Education Network (NEREN) to manage the fiber network once it is in place. Broader Impacts. The possibility of a fiber network that would provide adequate bandwidth for videoconferencing has led to the NECC regional organization around outreach programs for STEM workforce development and diversity. It is planned to create a new Watershed Project through partnerships among multiple state-based programs for high school and undergraduate students. Students in this project from all the NECC states, NY and Puerto Rico, who otherwise would not even meet, will work together in collaborative watershed research. Following training, teams of high school students and teachers or undergraduates join with state programs to work on watershed science during the summer or through the summer and the academic year. The individual NECC state programs are effective in improving participation in STEM majors and diversity, but with the new fiber network and the ability to communicate over the new cybernetwork, a larger, region-wide effective program, with emphasis on cyber-based communication and research tools, is envisioned. The researchers develop a multi-faceted communication plan that will spread the word about the importance of the cyber-enabled research to the public through innovative television shows, podcasts and educational materials. An Ambassador Program will partner with citizen science groups to inform the public about the importance of a fiber network to education and science and about the potential impact of the cyber-enabled metagenomics study to the economies of the states. The fiber network will have an enormous economic impact on the region. The pilot project on metagenomics of the bacterial communities in blooms in lakes in VT, NH, ME and RI will contribute to the understanding of the origin of these blooms and their toxins that shut down access to recreational and drinking water sources. Lakes in the northeast are extremely important to economies, with estimates of $1.5B in lake-related revenues to NY, VT and Quebec each year from Lake Champlain; $2B annually from lake recreational revenues to Maine; 14,000 jobs and bring in $1.8B in revenues from boating, fishing, swimming, drinking water and property taxes to New Hampshire.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle