Select A topics
Before submitting your abstract, you are required to select the main category of the session, where you would like to present your paper.
- Abstracts should be no longer than one A4 page in portrait layout.
- The title of the abstract should be as concise as possible and should appear in bold, sentence cased and centered
- Co-authors and affiliations below the title should be in Italics (the main author’s name should be underlined, and the name of the presenting author should be marked with an asterisk (*).
- The abstract must be written in the most preferable language, i.e. English, and content should have a maximum character of 300 words.
- The main body of the abstract should be in Times New Roman, Font size 12, Justified, Line spacing 1.5.
- References, denoted by superscript numbers in the text should be listed at the end of the text using standard Chemical Abstracts Source Service Index terminology followed by YEAR, VOLUME, and PAGE.
- The use of figures, graphs, and schemes is recommended where this aids the understanding of the text.
- Abstracts should be submitted in MS Word or PDF format, either via email attachment to conference email with the subject line ‘conference name abstract’ or online submission method via the conference website.
- Please include the full details of the main author and the presenting author in the email and indicate whether you are submitting an Oral or a Poster Presentation.
- Note: There is a 1 MB limit for online abstract submission if you’re abstract is larger than 1 MB, and then you are recommended to send it via email as an attachment.
- After completion of the conference, speakers could submit their full-length papers to any of our related journals and they will be published within 2 months of the time period with additional charges.
- A confirmation mail will be sent in regards & receiving your abstract, and if the submitter does not receive any mail within the next 24 Hrs, he/she is suggested to contact the respective conference coordinator, manager, or ambassador.
We firmly believe that ethical conduct is the most essential virtual of any academic, hence any act of plagiarism is totally unaccepted, and academic misconduct will not be tolerated.
THE CONFERENCE OFFERS TWO OPTIONS FOR ABSTRACT SUBMISSION
Suited for research conducted in academic disciplines. Check a sample abstract for this option here. Abstracts submitted under the first option should contain concise statements of:
- Backgrounds: Indicate the purpose and objective of the research, the hypothesis that was tested, or a description of the problem being analyzed or evaluated.
- Methods: Describe (the study period/ setting/location, study design, study population, data collection, and methods of analysis used.
- Results: Present as clearly and in as much detail as possible the findings/outcome of the study. Please summarize any specific results.
- Conclusions: Explain the significance of your findings/outcomes of the study of Data Science, Technology and/or support, and Future Implications of the results.
The following review criteria will be used in scrolling abstracts submitted under OPTION 1:
- Is there a clear background and justified objective?
- Is the methodology/study design appropriate for the objectives?
- Are the results important and clearly presented?
- Are the conclusions supported by the results?
- Is the study original, and does it contribute to the field?
Suited for research conducted in all disciplines. Check a sample abstract for this option here. Abstracts submitted under the first option should contain concise statements of:
Backgrounds: Summarize the purpose, scope, and objectives, of the program, project, or policy.
Methods: Describe the programme, project, or policy period/setting/location, the structure, key population (if applicable), activities and interventions that were undertaken in support of the programme, project, or policy.
Lessons Learned: Present as clearly and in as much detail as possible the methods/findings/outcomes of the programme, project or policy; include analytic approaches, evaluation of lessons learned, and best practices with a succinct description of the methods used, in addition, please summarize any specific results that specifically support your conclusions of lessons learned and best practices.
Conclusions: Explain the significance of the methods used and findings/outcomes of the programme, project, or policy for Data Science & Statistics and /or support, and future implications of the results.
All submitted abstracts will go through a peer-review process carried out by a peer review committee. After the successful review of your abstract, we will guide you further in steps towards your presence at our event.
The conference is soliciting literature review, survey, business case study and research papers and comments including, whilst not limited to, the following areas of interest:
- Data Science & Technology
- AI & Machine Learning
- Public Policy
- Artificial Intelligence
- AI Ethics
- Machine Vision
- Big Data & Analytics
- Advanced Analytics
- Databases & Data Security
- Data Visualization
- Computational Science & Numerical Analysis
- Neuromorphic Computing
- Cloud Computing
- Network Science
- Mathematical Aspects of Data Science
- Deep Learning
- Statistical Learning
- The Best of Predictive Analytics
- Business Intelligence
- Digital Transformation
- Applications of data Science
- New Data Management Technologies
- Technologies in Data Visualization
- Research Frontiers