Best Paper Award

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 published in the journal the year before the previous year and announce them online by the end of June.

The Prize:

– One research article and one review will be selected.
– For each winning paper, we will award CHF 500, a certificate, and a voucher to waive the Article Processing Charges (APC) for one submission in the journal (subject to peer review)—valid for one year.

Award FAQ

 
BDCC Best Paper Award
 
Winner announcement: 30 June 2027

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
 
Year: 

Winner

27 pages, 5013 KB  
Article
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
by Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh
Big Data Cogn. Comput. 2024, 8(1), 6; https://doi.org/10.3390/bdcc8010006 - 3 Jan 2024
36 pages, 4696 KB  
Review
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
by Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md Mostafa Kamal Sarker and J. Alison Noble
Big Data Cogn. Comput. 2024, 8(9), 99; https://doi.org/10.3390/bdcc8090099 - 28 Aug 2024

Award Committee

Prof. Min Chen Chairperson
Huzhong University of Science and Technology
Prof. Fabrizio Messina
University of Catania
Prof. Dr. Giuseppe Ciaburro
Faculty of Engineering and Informatics, Pegaso University
Prof. Domenico Ursino
Polytechnic University of Marche

Winner

24 pages, 4621 KB  
Article
Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students
by 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 - 27 Jun 2023
36 pages, 1674 KB  
Review
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review
by 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 - 1 Jun 2023

Award Committee

Prof. Min Chen Chairperson
Huzhong University of Science and Technology
Dr. Yin Zhang
Prof. Domenico Ursino
Polytechnic University of Marche
Dr. Edmund Lai
Auckland University of Technology

Winner

29 pages, 1272 KB  
Review
Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions
by In Lee and George Mangalaraj
Big Data Cogn. Comput. 2022, 6(1), 17; https://doi.org/10.3390/bdcc6010017 - 1 Feb 2022
21 pages, 4585 KB  
Article
Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
by Massimo Stella, Michael S. Vitevitch and Federico Botta
Big Data Cogn. Comput. 2022, 6(2), 52; https://doi.org/10.3390/bdcc6020052 - 12 May 2022

Winner

24 pages, 1556 KB  
Review
Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms
by Gianni Fenu and Francesca Maridina Malloci
Big Data Cogn. Comput. 2021, 5(1), 2; https://doi.org/10.3390/bdcc5010002 - 12 Jan 2021
54 pages, 6458 KB  
Article
6G Cognitive Information Theory: A Mailbox Perspective
by Yixue Hao, Yiming Miao, Min Chen, Hamid Gharavi and Victor C. M. Leung
Big Data Cogn. Comput. 2021, 5(4), 56; https://doi.org/10.3390/bdcc5040056 - 16 Oct 2021
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