Best Paper Award

4.4
Impact Factor
9.8
CiteScore
24 days
Time to First Decision

The Big Data and Cognitive Computing Best Paper Award is granted annually to highlight publications of high quality, scientific significance, and extensive influence. The Evaluation Committee Members choose one research article and one review of exceptional quality that were published in the journal in the previous year, announcing them online by the end of June.

The Prize
–One research article and one review will be selected.
–Each winner will receive CHF 500, a certificate, and a voucher for free article processing fees valid for one year.

Big Data and Cognitive Computing Best Paper Award

Winner announcement date: 30 June 2026

Eligibility and Requirements

–All papers published in Big Data and Cognitive Computing will be eligible (both regular and Special Issue submissions).

Selection Criteria

–Scientific merit and broad impact;
–Originality of the research objectives and/or the ideas presented;
–Creativity of the study design or uniqueness of the approaches and concepts;
–Clarity of presentation;
–Citations and downloads.

Past Winners

Winner

Article
55 Citations
12,736 Views
24 Pages
Download PDF
Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students
Katherine Abramski,
Salvatore Citraro,
Luigi Lombardi,
Giulio Rossetti and
Massimo Stella
Big Data Cogn. Comput.2023, 7(3), 124;https://doi.org/10.3390/bdcc7030124
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27 June 2023
Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of t...
Full Article
Review
22 Citations
9,303 Views
36 Pages
Download PDF
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review
Ching-Nam Hang,
Yi-Zhen Tsai,
Pei-Duo Yu,
Jiasi Chen and
Chee-Wei Tan
Big Data Cogn. Comput.2023, 7(2), 108;https://doi.org/10.3390/bdcc7020108
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1 June 2023
The rapid global spread of the coronavirus disease (COVID-19) has severely impacted daily life worldwide. As potential solutions, various digital contact tracing (DCT) strategies have emerged to mitigate the virus’s spread while maintaining eco...
Full Article

Award Committee

Min Chen
Min Chen
Chairman
Huzhong University of Science and Technology
Alberto Abelló
Alberto Abelló
Universitat Politecnica de Catalunya
Yin Zhang
Yin Zhang
Giuseppe Maria Luigi Sarnè
Giuseppe Maria Luigi Sarnè
University of Milano Bicocca
Moulay Akhloufi
Moulay Akhloufi
Université de Moncton
Miguel-Angel Sicilia
Miguel-Angel Sicilia
Venkat Gudivada
Venkat Gudivada
East Carolina University
Domenico Ursino
Domenico Ursino
Polytechnic University of Marche
Yoichi Hayashi
Yoichi Hayashi
Meiji University, Dept. Computer Science, Head of AI Lab.
Edmund Lai
Edmund Lai
Auckland University of Technology