World Championship 2023

The 4th Annual International Competition in Data Science & Artificial Intelligence
From Oct 1st, 2023 - Oct 31, 2023 (Computer Vision & NLP tracks)
From Nov 1st, 2023 - Nov 30, 2023 (Statistical Data Science track)
Nov 25th, 2023 (Programing track)

Invitation Letter

We are pleased to cordially invite university students, who consider Data Science and related fields their careers, to attend the 4th International Competition in Data Science & Artificial Intelligence, organized by The International Society of Data Scientists (also called World Championship 2023) from Boston, MA in the United States. For Computer Vision & NLP tracks, students graduated within 5 years are eligible to attend. Each team can optionally have an advisor, who may be a professor or a data science professional. Additionally there are Statistical Data Science track and Programming track for high school students. The competition is to create a playground for young Data Scientists to grow skills, knowledge, experience, and collaboration for their career path. The competition committee includes professors and industry leaders around the world. Please see the Invitation Open Letter.

Boston, MA, United States

The 4th International Competition in Data Science & Artificial Intelligence

General Committee

The committee includes Professors and Industry Leaders in Data Science & Artificial Intelligence from all over the world. The committee composition is as follows:

- Dr. Krishna R. Pattipati, Board of Trustees Distinguished Professor & UTC Professor in Systems Engineering, Department of Electrical and Computer Engineering, University of Connecticut, Connecticut, USA

- Dr. Rajakumar Arul, Assistant Professor, School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) Chennai Campus, India

- Dr. Mohammad Soltanieh-ha, Assistant Professor, Questrom School of Business, Boston University, Massachusetts, USA

- Dr. Shaimaa Ali, Assistant Professor (Software Engineering) at the Electrical and Computer Engineering Department, Western University, London, Ontario N6A 3K7, Canada

- Dr. Adisak Sukul, Associate Teaching Professor at Department of Computer Science, Iowa State University, Iowa, USA

- Dr. Sebastian Tomczak, Department of Operations Research and Business Intelligence, Faculty of Management, Wroclaw University of Science and Technology, Wrocław, Poland

- Dr. Haiyang Kong, Assistant Professor, Business School of Beijing Normal University, Beijing, China

- Dr. Thanh Ha, Associate Professor and Institute VP, ISODS George Washington Institute, NY, USA

- Dr. Vinh Dang, Lecturer, Information Technology Faculty, Industrial University of HCM City, Vietnam

- Dr. Gia Nhu Nguyen, Associate Professor & Dean of School of Computer Science, Duy Tan University, Vietnam

- Dr. Bao The Pham, Associate Professor at Saigon University, Vietnam

- Dr. Christopher Do, ISODS President & Professor, Massachusetts, USA

- Mr. Cory Wang, ISODS Vice President, New York, USA

- Mr. Abdelaziz Darwiesh, ISODS Chief Representative in Egypt

- Mr. Khoa Tran, ISODS George Washington Institute of Data Science

- Dr. Phu Vu, Regional Research Director, WorldQuant, Vietnam

- Dr. Nam Thanh Nguyen, FUNiX Founder, Former FPT CEO, Vietnam

- Dr. Techn. Rizwan Bulbul, Research Group Geoinformation, Institute of Geodesy, Graz University of Technology, Steyrergasse, Graz, Austria

-  Dr. Huy Nguyen, Head of Software Engineering (Saigon University) and Assistant Professor at the George Washington Institute, ISODS

- Dr. Sanjay G. Patel, Assistant Professor, Department of Computer Science & Engineering, School of Technology, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

- Mr. Tuan Nguyen, Director of The Michael Dukakis Institute for Leadership and Innovation Co-Founder, and CEO at The Boston Global Forum, Founder of, MA, USA

Computer Vision Track

The Computer Vision track is for university-level students. Before joining please make sure your team is registered via the form. This help us contact you with any updates or if your team is one of the winning teams. This track runs from Oct 1st, 2023 to Oct 31, 2023. The Kaggle based Computer Vision track will be available on Oct 1 at 12AM ET. Entry fee is waived for candidates in this track.

NLP Track

The NLP track is for university-level students. Before joining this NLP track, please make sure your team is registered via the form. This help us contact you with any updates or if your team is one of the winning teams. This track runs from Oct 1st, 2023 to Oct 31, 2023. The Kaggle based NLP track will be available on Oct 1 at 12AM ET. Entry fee is waived for candidates in this track.

Statistical Data Science Track

The Statistical Data Science track is for high school students or last year middle school students. This track runs from Nov 1st, 2023 to Nov 30, 2023. Entry fee is 30 USD each candidate to be paid via PayPal to before submitting the project, with the note "Statistical Data Science track entrance fee". The email address must be the email address of the sender who submits the form, in order to match them together.

Registration: Make sure your team is registered via the registration form. This help us contact you with any updates or if your team is one of the winning teams. Participants should be high school students or last year middle school students. Submissions are reports for projects that have been pursued in courses, training, and camps. Projects may be team-based or individual-based. Participants should be able to provide evidence that the projects were supervised, or graded by their instructors. For minors ( <18 years old), the submitter should be the parents or teachers. The sender email address should be of the parents or teachers if the student is a minor.

Project report format: Following ASA (American Statistical Association) format (See ASA winning projects in 2023 - 1th2nd3rd)

1. Question to answer using statistical analysis: The statistical question that you try to solve should be clearly stated, and data that supports the analysis should be attainable.

2. Data Collection: Candidates should be able to provide evidence that the data was collected by themselves. Candidates should explore the data to determine if the data quality is adequate to answer the question, and demonstrate the understanding of the data. A data quality report that includes data summaries may be provided.

3. Data Visualization/Exploration: Relevant well-labeled, and accurate graphs and tables of the data should be included.

4. Data Analysis: Expected level of statistical methods should be found in an introductory statistics course, which may include descriptive statistics, basic sampling methods, designed experiments, probability, confidence intervals (parametric and non-parametric approaches), hypothesis testing, simple or multiple linear regression, one- or two-factor ANOVA, simulation-based inference (randomization tests or bootstrapping), and other nonparametric methods.

5. Strength and Weakness: Candidates are required to evaluate the strength and weakness of the project.

6. Conclusion: The conclusion should reprise the questions and the answer, and should provide an overall picture of the project. Candidates should note what have been done or haven't, what may be the next steps for further study.

Programing Track

Welcome to the 4th Annual International Competition in Data Science & AI (World Championship 2023). We are excited to have you participate in this competition. LightOJ ( is our platform sponsor in this competition track. Candidates are encouraged to practice problems as well as the platform before the competition. The Programming track is for high school students. To participate in the programming track, you need to follow these steps.



Visit the LightOJ website and locate the "Sign Up" button at the top right corner of the page. Click on the "Sign Up" button to proceed to the registration page. Create your account by providing the required information. Remember to make a note of your username, as it will be necessary for the application form. The team advisor or a parent will create the team and add all the team members. Make a note of the team handle as well.


Team Formation:

Teams must consist of exactly 3 students. Each institution/school can enroll more than one team for the competition. All team members must have a valid LightOJ account before applying to the competition. Fill out and submit the application form on or before the deadline of October 31, 2023. The competition is on Nov 25th, 2023, from 9-12 ET.


Application Fee and Form:

The fee is 30 USD each team member, or 90 USD for each team. Make sure to pay the fee for the whole team to via PayPal, with the note "Programming track entrance fee", using the advisor email address before filling this application form. 

Competition Details:

Teams will receive a set of problems of varying difficulty levels from areas such as mathematics and computer science. LightOJ supports multiple programming languages. The program should take input from standard input and produce output to standard output, following the problem statement's specifications.


Competition Duration:

Teams will have a time limit of 3 hours, to solve as many problems as possible. The winner will be determined based on the number of problems solved and the least penalty time. Penalty time is calculated by summing the time taken to solve each problem.


Solution Submission:

Participants can use online resources for programming language syntax and API. However, searching for answers to the problems online is not allowed. To submit a solution, select a programming language from the drop-down list on the LightOJ submission page. Type the code into the provided editor or upload a file. Click the submit button to compile and run the program against test cases. If the program passes all test cases, it will be considered correct, and the team will receive points. If the program fails any test case, it will be considered incorrect, and no points will be awarded. The team with the most points at the end of the competition will be declared the winner. Multiple submissions or wrong submissions do not incur penalties.


Code of Conduct and Plagiarism:

Teams must adhere to the Code of Conduct during the competition.



The programming competition employs a binary evaluation method, wherein solutions are categorized as either passing or failing. The platform executes test cases and compares the output of submitted solutions against the expected output. In order to be deemed a passing solution, the program must successfully pass all test cases and will be awarded the designated score for the respective problem. The ranking of teams will be determined based on their scores, with tiebreakers determined by the time it took to achieve that score, following the style of the International Olympiad in Informatics (IOI). The team that attains the highest score in the least amount of time will be declared the competition's winner. The teams with the top ranks will receive recognition and certificates for their outstanding accomplishments. It is important to emphasize that the competition not only focuses on winning but also emphasizes the importance of learning and enhancing programming skills.

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A Global Competition for Students

Committee Member Affiliation

Boston Univ
Duy Tan
 Vellore Institute of Technology (VIT)


This is the first year countries are ranked in addition to university teams. This means that teams will not only be representing their respective universities but also their countries. The Society encourages universities and teams to seek sponsorship from local companies within their countries as a way to demonstrate their strong support.
We thank our sponsors for their willingness to contribute. If your company or organization is interested in sponsoring the event, kindly reach out to us via email

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