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Call for Papers TBMS ̓ 2022

2nd. International Symposium on:

Big-Data-Analytics Technologies for Strategic Management:

Innovation and Competitiveness.

February  9-10-11, 2023 in Al-Hoceima (Morocco)

♦ Important Dates:

Papers due (last deadline): DEC. 25, 2022
Notification of acceptance (2nd. deadline): DEC. 10-25, 2022
Final paper & Camera-ready due: DEC. 25, 2022
Registration for authors (last deadline): JAN. 5-15, 2023
TBMS’2022 in OCTA days: FEB.  9-10-11, 2023
Best Paper Awards: FEB.  11, 2023

♦ CFP, SPECIAL ISSUES & KEYNOTES:

♦ Description :

States like companies and organizations reorganize themselves in a serious way to the treatment of big masses of information: it is the advent of Big Data. As other economic, industrial and social actors radically reorganize their activities around the management of this data in Big Data. For example, « Chief data officer » in the United States, « Chief digital officer » responsible for the « Government Digital Service » in Great Britain, « General Data Administrator » in France, etc. These public administrators are responsible for ensuring that the country values its data, presented as new sources of material and intangible growth unexplored or partially.

The same phenomenon of Big Data is at work in the academic world with more enthusiasm. In line with major research centers such as the Media Lab (1985) of the Massachusetts Institute of Technology (MIT), many universities have created centers dedicated to the analysis of Big Data in constant evolution with the « Data Science ». For the humanities, it is the birth of the « Big data and Society » which aims to study Big Data and their impact on societies « . These are the practical Big Data implications and how they reconfigure the relationships, the expertise, the methods, the concepts and the academic knowledge in the social, professional and business sectors.

If Big Data interest but also evoke multidisciplinary debate? The enthusiasm of the artisans of these techniques is not always shared. In this case, the repeated revelations of massive surveillance of populations, the research world as well of civil society highlight the dangers of these methods, which can quickly turn into powerful technologies of government: a conscious and instrumental will to serve economic, political-societal and ideological interests.

Today, we have more data than ever before in human history. Data volumes multiplied by 100 between 1987 and 2007, then doubled on average every year. An increase infinitely greater than that caused by the invention of printing (J. Gutenberg), which had resulted in a doubling of data over 50 years.

Thus, comprehensive data set analysis can change our view of the world. The contribution of Big Data remains a project that insinuates reason and rationality in our complex world. If the scientific method is based on the premise that one can derive from abstract theories concrete assumptions about reality. The assumptions themselves can be tested using the data collected for this purpose. In this reasoning, Big Data will profoundly alter these two rational foundations, not to challenge scientific rationality, but to move it to a higher stage: for a more complex, broader and more exact interpretation of reality.

In a transdisciplinary enthusiasm, Big Data allows us to no longer bend reality to categories a priori and now to let the data give us themselves the categories which contain while faithfully reflecting the reality.

♦♦ OCTA Organization:

TBMS’2022 event will be in the International Multiconference OCTA in Feb. 2023 and its projects, communities and scholarly societies (SIIE, ISKO-Maghreb, CITED and TBMS) in AL-Hoceima (Morocco). The organization is under the aegis of Abdelmalek Essaadi University & ENSAH (National School of Applied Sciences – Al-Hoceima) with its partners, and national & international sponsors.

 

♦ Topics :

The TBMS’2022 subjects and topics of interest include, but are not limited to:

1- Architectures, approaches and methods of designing Big Data,
2- Mathematical models for Big Data,
3- Big Data technologies and their applications,
4- Design Thinking for Big Data,
5- Societal Applications of Big Data: Transformations of the world and society
6- Applications « Data Science » and Big Data,
7- Big Data Analytics and Learning Analytics applications,
8- Recommendation systems and Big Data,
9- Strategic Management and Big Data Analytics,
10- Predictive Management, Strategic and Operational Control based on Big Data,
11- Big Data in evolution with Artificial Intelligence (AI),
12- Collective intelligence in Big Data Anlytics representations.

 

♦ Programme Committee:

♦♦ Presidents :

Sahbi SIDHOM (Université de Lorraine & LORIA Lab., France)
Saoussen KRICHEN (Centre de Calcul el-Khawarizmi (CCK) & Université de Tunis, Tunisia)
Anass EL HADDADI (ENSAH Al Hoceima, Morocco)
Mohamed ADDAM (ENSAH Al Hoceima, Morocco)

 

♦♦ Members: (in solicitation)
Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), Washington USA
Albert Zomaya, School of Information Technologies, University of Sydney Australia
Anand J Kulkarni, Symbiosis International, Deemed University India
Gupta B.B, National Institute of Technology, Kurukshetra India
Bart Baesens, KU Leuven Belgium
Ben Abdessalem Wahiba, ISG – University of Tunis, Tunisia
Bich Tran, Centre for Health Research · University of Western Sydney Australia
Bonghee Hong Pusan, National University Korea
BOUHORMA Mohammed, FST – UAE, Tangier Morocco
BOUNCEUR Ahcene, Bretagne University, Brest France
CHERBI Rachid, Paris Sud Saclay University France
Douglas Craig C., University of Wyoming, USA
Eleni Karatza, Aristotle University of Thessaloniki Greece
Faïcel Chamroukhi, University of Caen France
Fazle Baki Odette, School of Business, University of Windsor Canada
FENNAN Abdelhadi, FST, UAE, Tangier Morocco
Francisco Herrera, University of Granada Spain
Guo Q. P., Wuhan University of Technology China
Hamido Fujita, Iwate Prefectural University Japan
KECHADI Mohand Tahar, University College Dublin Irlande
Mengjie Zhang, School of Engineering and Computer Science, Victoria University of Wellington New Zealand
MSIIRDI Nacer, Aix Marseille University France
Pablo Jose Villacorta Iglesias Stratio, Department of Computer Science University of Granada, Spain
Péter Kacsuk, MTA SZTAKI Hungary
QUAFAFOU Mohamed, Aix Marseille University France
Roy Cecil, IBM Portugal Portugal
Schahram Dustdar, Vienna University of Technology Austria
TARI Abdelkamel, Univeristé de Bejaia Algeria
Tsui Thomas, Chinese University of Hong Kong China
Vincent Blondel, Université catholique de Louvain Belgium
Xu W., Jiangnan University China
Yi-ke Guo, Imperial College United Kingdom

 

♦ Language & Communication in Symposium:

Presidents of TBMS’2022 encourage authors (senior, junior and professional) to submit proposals on a “LONG Abstract” in the recommended format (IEEE Template in 2 columns) in well written English or French. After reviews, the corrected and completed author’s proposal must be submitted in a final English full version.

–      First, long “Abstract” proposals must be written in English or French.

–      Second, final “Full” proposals must be written in English.

–      All data-show presentations (in PowerPoint) must be written in English.

–      Oral presentations and discussions are permitted in English and/or in French.

 

♦ Paper Guidelines: 

  • Detailed abstract (Title, Abstract, Keywords and Short bibliography): in process of reviewing, you must select your « Title » that grabs attention with « Keywords », accurately describes the contents of your manuscript concisely by your « Abstract » with « Short bibliography », and makes people want to read further your « full text »: Prioritizing Communication Poster ;

or

  • Full text proposal: in process of reviewing, authors should propose the full version paper: Prioritizing Oral Communication.
  • Manuscripts must follow the Springer template guidelines, including figures, tables, and references. The paper must be prepared by using the template in MS Word or LaTeX as PDF files through EasyChair System below. The length of papers should not exceed 10 pages.
    (LNNS is indexed in SCOPUS, INSPEC, WTI Frankfurt, zbMATH, SCImago, and submitted for consideration in Web of Science. Click here for more information.)

 

♦ Paper Rating:

  • The Scientific Committee will assess the relevance of each proposal and will propose appropriate changes.
  • The acceptance criteria are: originality of the contribution, importance to the community and impact on future scientific work, significance of results and quality of presentation.
  • Anti-plagiarism Policy: As part of the anti-plagiarism policy followed by TBMS & OCTA multi-conference Int. Organization, the papers will be subject to anti-plagiarism software Compilatio (https://www.compilatio.net/).

 

♦ Submission Papers: On easychair platform for the Int. MultiConference OCTA ̓ 2022

  • Manuscripts must follow the Springer template guidelines, including figures, tables, and references. The paper must be prepared by using the template in MS Word or LaTeX as PDF files through EasyChair System below. The length of papers should not exceed 10 pages.
    (LNNS is indexed in SCOPUS, INSPEC, WTI Frankfurt, zbMATH, SCImago, and submitted for consideration in Web of Science. Click here for more information.)

 

♦ Registration Fees: (in progress)

♦ Conference Venue: (in progress) AL-HOCEIMA (Morocco).

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