We are Virginia Tech’s digital-first, open access publisher. Based in the University Libraries, Virginia Tech Publishing (VTP) is committed to increasing the visibility, reach, and impact of research produced at the university. We publish scholarly and educational materials in multiple formats for wide dissemination and permanent preservation. In addition to full-service publishing, we offer a variety of specialized services to support the publishing needs of the Virginia Tech community.
Die Global Open Knowledgebase (GOKb) ist eine kooperativ betriebene, offene Datenplattform, die Informationen über elektronische Ressourcen bereitstellt. Wir ermutigen jeden, der Interesse an dem Projekt hat, sich zu registrieren und den Dienst zu erkunden.
A self assessment tool for improving software practices
Software engineering is a systematic approach to the design, development, and maintenance of a software system. Teams seldom have the time to stop development and focus solely on improving productivity or sustainability. However, teams can incorporate improvements on the way to developing new science capabilities.
The tools on this site will help you:
Assess your current practices
Create progress tracking cards
Integrate tracking cards with your workflow
The self-assessment introduces software engineering practices that increase in maturity. Check the practices that your project already uses to rate your project.
Take the survey by clicking the button below or sign in to customize your survey and save the results directly to your project repository!
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.
Elicit uses language models to help you automate research workflows, like parts of literature review.
Elicit can find relevant papers without perfect keyword match, summarize takeaways from the paper specific to your question, and extract key information from the papers.
Browser-based research platform designed for clarity, comprehensiveness, and collaboration. Create interactive citation graphs of your own research topics.
P. Müller, E. Sood, und A. Bulling. ACM Symposium on Eye Tracking Research and Applications, Seite 1–10. New York, NY, USA, Association for Computing Machinery, (02.06.2020)
E. Sood, S. Tannert, D. Frassinelli, A. Bulling, und N. Vu. Proceedings of the 24th Conference on Computational Natural Language Learning, Seite 12--25. Online, Association for Computational Linguistics, (November 2020)
F. Strohm, E. Sood, D. Thomas, M. Bâce, und A. Bulling. Proc. The 1st Gaze Meets ML workshop, PMLR, Volume 210 von Proceedings of Machine Learning Research, Seite 165--183. PMLR, (03 Dec 2023)
A. Abdessaied, E. Sood, und A. Bulling. Proceedings of the 7th Workshop on Representation Learning for NLP, Seite 143-155. Stroudsburg, Association for Computational Linguistics, (2022)
E. Sood, S. Tannert, P. Mueller, und A. Bulling. Advances in Neural Information Processing Systems, 33, Seite 6327--6341. Curran Associates, Inc., (2020)
E. Sood, F. Kögel, F. Strohm, P. Dhar, und A. Bulling. Proc. ACL SIGNLL Conference on Computational Natural Language Learning (CoNLL), Seite 27--43. Association for Computational Linguistics, (November 2021)spotlight.
C. Beisbart. Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, Springer International Publishing, Cham, (2019)
A. Barberousse, und J. Jebeile. Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives, Springer International Publishing, Cham, (2019)
M. Krafczyk, A. Shi, A. Bhaskar, D. Marinov, und V. Stodden. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2197):
rsta.2020.0069, 20200069(Mai 2021)
M. Spiegel, P. Reynolds, und D. Brogan. Proceedings of the 37th Conference on Winter Simulation, Seite 437--444. Orlando, Florida, Winter Simulation Conference, (Dezember 2005)
S. Storks, K. Yu, Z. Ma, und J. Chai. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, Seite 10199--10219. (2023)
T. Prike. Towards Bayesian Model-Based Demography: Agency, Complexity and Uncertainty in Migration Studies, Springer International Publishing, Cham, (2022)
B. Fecher, und S. Friesike. Opening Science: The Evolving Guide on How the Internet Is Changing Research, Collaboration and Scholarly Publishing, Springer International Publishing, Cham, (2014)
S. Drößler. Kalibrierung der Wissenschaft. Auswirkungen der Digitalisierung auf die wissenschaftliche Erkenntnis, transcript, Bielefeld, 1. Auflage Edition, Wie wird Wissen aus den Weiten des digitalen Raums herausgefiltert? Wie wird es generiert und evaluiert? Was wird als Wissen verfügbar gemacht - und was nicht? Die Beiträger*innen des Bandes widmen sich diesen Fragen und untersuchen die Auswirkungen der zunehmenden Digitalisierung auf die Erzeugung, Auswahl und Bewertung wissenschaftlicher Erkenntnis unter den Aspekten der Datafizierung, Publizierung und Metrisierung. Sie bringen Expertisen aus der Philosophie, Informatik, Informations- und Bibliothekswissenschaft ein und reflektieren in kritischer und konstruktiver Weise die Gestaltung und Folgen der digitalisierten Wissenschaftspraxis..(2022)
