Artificial Intelligence and Machine Learning Competition
AI-ML Competition
The AI and ML focus on exploring the transformative power of artificial intelligence and advanced data analytics. It discusses the latest advancements, trends, and applications of AI and data-driven strategies across various industries including higher education. By highlighting cutting-edge research, real-world case studies, and emerging technologies, the discussion aims to provide invaluable insights into how businesses can leverage AI and data analytics to drive innovation, enhance decision-making, and maintain a competitive edge in an increasingly data-centric world. Global Artificial Intelligence and Data Analytics
- Trends in AI and Data Analytics
- AI in Education Transformation
- Big Data Management and IA Business Transformation
- Ethics and Governance in AI
- Challenges in AI Deployment
- Future of AI and Data Analytics
Eligibility Criteria
- The submitter can be a student or professional.
- Papers can be industry projects as part of a course, co-op/internship, or research projects at the academic institution.
- Faculty and/or an industry member may serve as an advisor on a project, but the work should primarily be done by the student(s).
- The paper must be written by the student(s) with only minor outside editorial assistance. One or more advisors may appear as co-authors of a paper, but the student must be the ‘first author’.
- The paper must be presented at the IEOM Singapore Conference.
IEOM Competition Rubrics
- Overall content: 1-5 points
- Data analysis and results: 1-5 points
- Presentation skills: 1-5 points
- Knowledge of the topic / confident: 1-5 points
- Answering questions: 1-5 points
Paper Guidelines:
Authors must follow the IEOM paper guidelines (under Authors menu) since the winning papers will be published in the conference proceedings and indexed at IEOM Index – https://index.ieomsociety.org/.
Important Dates
Deadline for submission of papers: January 15, 2025.
Paper Guidelines
Authors must follow the IEOM Conference paper guidelines. Winning papers will be published in the conference proceedings.
Submission
Each paper must be submitted online.
Judging
A group of academics / professionals will serve as judges and evaluate the papers and presentations. Scoring rubrics will be used for both parts of the judging.
Winners
1st, 2nd and 3rd place winners will receive award certificates.
Competition Chair
If you have any question for the IEOM Graduate Paper Competition, please contact: info@ieomsociety.org.
IEOM Publication Ethics and Malpractice Statement
Each paper must present a significant research contribution, encompassing:
- Motivation of the Research: Clearly state the relevance of the research and its importance within the field.
- Problem Statements and Objectives: Identify the specific problem(s) addressed and outline clear, measurable objectives.
- Literature Review: Provide a comprehensive review of relevant research to establish the context and background.
- Data: Describe the data sources, collection methods, and any preprocessing steps undertaken.
- Methods: Detail the methodologies used, including the rationale behind their selection.
- Results: Include both numerical and graphical results, effectively presenting key findings.
- Statistical Analysis and Hypothesis Tests: Perform appropriate statistical tests to validate findings, presenting results with proper interpretation.
- Research Validation: Demonstrate that each objective has been met through quantitative or qualitative analysis, confirming the reliability of the results.
- Technical Writing Quality: Ensure the paper is well-written, free from spelling and grammatical errors, and follows a clear, logical structure.
Each paper and its abstract must strictly adhere to the IEOM Template for consistent formatting, including fonts, headings, and layout.