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AIMinScience 2020 : 1st International Workshop on Assessing Impact and Merit in Science

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Link: https://aiminscience.athenarc.gr/
 
When Aug 25, 2020 - Aug 25, 2020
Where Lyon, France
Submission Deadline Apr 30, 2020
Notification Due May 22, 2020
Final Version Due Jun 5, 2020
Categories    scientometrics   digital libraries   research assessment   scientific impact
 

Call For Papers

AIMinScience 2020: 1st International Workshop on Assessing Impact and Merit in Science
https://aiminscience.athenarc.gr/
August 25, 2020, Lyon, France
Follow us on Twitter for the latest news and updates: https://twitter.com/aiminscience

Held in conjunction with the 24th International Conference on Theory and Practice of Digital Libraries (TPDL 2020) and the 24th European Conference on Advances in Databases and Information Systems (ADBIS 2020)

=== Topics ===
In the era of data-driven and open science, reliable and comprehensive assessment of scientific impact and merit is now more valuable than ever. The AIMinScience workshop aims to bring academics, researchers, and other professionals from diverse fields together to share ideas and experiences about research assessment, relevant technologies and applications.

Topics of interest include (but are not limited to):
- Scientometrics & bibliometrics.
- Indicators & metrics of any kind (e.g., citation-based, altmetrics) to assess scientific impact or merit for publications, other research objects (e.g., software, data sets), or relevant entities (e.g., individual researchers, institutions, projects, funding organisations).
- Improved/scalable/efficient approaches to preprocess, analyse, and mine big scholarly data to facilitate research assessment.
- Insightful visualisation techniques that utilise or facilitate research assessment.
- Applications utilising scientific impact & merit to provide useful services to the research community and the industry (e.g., recommendation systems, ranking mechanisms, etc).
- Data integration/creation/cleaning/publishing projects to facilitate research assessment.
- Data mining & machine learning approaches to facilitate research assessment.
- Studies regarding the characteristics or the evolution of scientific impact or merit and/or their connection with other measures or phenomena

=== Submissions and proceedings ===

The workshop solicits regular papers (up to 12 pages including references & appendices, LNCS format) and short papers (up to 6 pages including references & appendices). The former should be descriptions of complete, original research/technical work. The latter should demonstrate interesting new software or data sets or describe interesting, innovative ideas, which nevertheless require more work to mature. Submissions will be peer-reviewed by program committee members. In order to ensure transparent evaluation and reproducibility of research, submissions whose results are based on research data or research software are required to refer/cite the original data/software as properly deposited in a data/software repository (e.g. Zenodo, Figshare, B2SHARE).

Workshop proceedings will be published in the Springer CCIS series (https://www.springer.com/series/7899). Articles will be assigned a DOI, be associated with ORCID IDs and funding projects if any, for reporting to the European Commission or other funders.

** Best papers will be invited for submission to a special issue of the Quantitative Science Studies (QSS) open access journal launched by the International Society for Scientometrics and Informetrics (ISSI). **

=== Important Dates ===

** Due to the current situation regarding the ongoing coronavirus outbreak that affects the work of many researchers in these days, we have extended the submission deadline. **

- Paper submission: April 30, 2020
- Notification of acceptance: May 22, 2020
- Camera ready due: June 5, 2020

=== OpenAIRE Research Graph Challenge Cup ===

The European OpenAIRE infrastructure tries to facilitate, foster, support, and monitor Open Science scholarly communication in Europe. In this context, OpenAIRE populates a research graph (https://zenodo.org/record/3516918) whose objects are scientific results (e.g., papers, softwares, datasets), organizations, funders, communities, and data sources. This graph contains rich information, harvested and integrated from multiple sources, that can be used for scientific impact and merit assessment. A dedicated challenge cup having the objective to exploit the knowledge captured by the OpenAIRE Research Graph to achieve a predetermined set of challenges will be organized along with the AIMinScience workshop. A relevant session, that will present the work of the best performing teams, will take place during the workshop. The challenges of the cup will be announced soon.

=== Invited Talks (titles to be finalized) ===

- "Beyond the impact factor: possibilities of scientometrics to understand science and society", Dr. Rodrigo Costas
- "Quantifying the biases of scientific success", Prof. Roberta Sinatra
- "Predicting the future evolution of scientific output", Prof. Yannis Manolopoulos

=== Organizing Committee (alphabetically) ===

- Dr. Paolo Manghi (full-time Researcher at ISTI-CNR, Italy & CTO of the OpenAIRE infrastructure)
- Dr. Dimitris Sacharidis (assistant professor at TU Wien, Austria)
- Dr. Thanasis Vergoulis (scientific associate at “Athena” RC, Greece)

=== Program Committee (alphabetically) ===

- Alessia Bardi (ISTI-CNR, IT)
- Nikos Bikakis (Atypon Inc., GR)
- Lutz Bornmann (Max Planck Society, GE)
- Guillaume Cabanac (Univ. of Toulouse, FR)
- Rodrigo Costas (Leiden Univ., NL)
- Christos Giatsidis (LIX, École Polytechnique, FR)
- John P. A. Ioannidis (Medicine - Stanford Prevention Research Center, USA)
- Adam Jatowt (Kyoto Univ., JP)
- Ilias Kanellos (ATHENA RC, GR)
- Georgia Koutrika (ATHENA RC, GR)
- Anastasia Krithara (NCRC Democritos, GR)
- Yannis Manolopoulos (Aristotle Univ. of Thessaloniki, GR)
- Giannis Nikolentzos (LIX, École Polytechnique, FR)
- Paraskevi Raftopoulou (Univ. of the Peloponnese, GR)
- Maria Jose Rementeria (BSC, ES)
- Angelo A. Salatino (The Open University, UK)
- Roberta Sinatra (IT University of Copenhagen, DK)
- Cassidy R. Sugimoto (Indiana Univ. Bloomington, USA)
- Christos Tryfonopoulos (Univ. of the Peloponnese, GR)
- Giannis Tsakonas (Univ. of Patras, GR)
- Ludo Waltman (Leiden Univ., NL)

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