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Graduate Institute of Information Management, National Taipei University, NTPU
The Graduate Institute of Information Management, National Taipei University (NTPU) is dedicated to cultivating professionals in the fields of information management and digital innovation. Its curriculum centers on information technology, equipping students with advanced skills in artificial intelligence, big data analytics, cloud computing, mixed reality, fintech, and blockchain, while also emphasizing key areas such as information security compliance and digital sustainability. Through interdisciplinary practical applications, the program extends into digital marketing, digital transformation, consumer behavior insights, and sports and leisure management, ensuring students can translate technical expertise into tangible industry value.
Academically, the Institute emphasizes a dual focus on research and practical application. Close industry-academia collaborations and cross-disciplinary integration provide students with substantial hands-on experience. The program fosters the ability to explore emerging information technologies, develop system applications, and plan digital marketing strategies, while also cultivating rigorous academic writing and independent research skills. Students joining the Institute will grow into adaptable professionals capable of making a significant impact in information management, smart services, and emerging technology applications.
As the United Nations Sustainable Development Goals (SDGs) and global net-zero policies accelerate, ESG disclosure has become a defining measure of corporate credibility. Yet many sustainability reports still contain vague or unverified claims, highlighting an urgent need for intelligent verification tools—especially for Traditional Chinese ESG texts, where language resources remain limited.
The “ESG Sustainability Commitment Verification Competition 2026” invites you to tackle this real-world challenge. Using the VeriPromiseESG4K Annotated Corpus, built from authentic industry scenarios, participants will develop NLP models that identify sustainability commitments and assess their supporting evidence.
This is an opportunity to apply AI to a high-impact global issue, sharpen your skills in ESG analytics and model development, and contribute to greater transparency and trust in corporate sustainability disclosures. This competition provides 4,000 annotated Traditional Chinese ESG entries drawn from real corporate sustainability reports, forming the VeriPromiseESG4K dataset. Participants will apply AI technology such as natural language processing and large language models to develop NLP models capable of automatically identifying, analyzing, and verifying corporate sustainability commitments.
Participating teams will utilize the “VeriPromiseESG4K Annotated Corpus” to develop Natural Language Processing (NLP) models addressing the following four core tasks and generate prediction results for the test dataset:
To facilitate participating teams in successfully initiating their model development projects, the organizer will provide relevant technical support and resources, including:
If any team member does not meet the eligibility requirements of the Student Division (including students currently enrolled in institutions outside the Republic of China), the entire team will be classified under the General Public Division.
For inquiries, please contact: yyteng@mail.ntpu.edu.tw
(1) Student Division Ranking Award
The top 30 teams in this competition are expected to be winners. After review and approval by the organizing committee, awards will be presented according to the following rankings:
| Award | Quota | Prize (Cash Prizes Only for Student Participants) |
| First Prize | 1 | NT$80,000 + A printed certificate from the Ministry of Education |
| Second Prize | 1 | NT$50,000 + A printed certificate from the Ministry of Education |
| Third Prize | 1 | NT$30,000 + A printed certificate from the Ministry of Education |
| Excellence Award | 2 | NT$10,000 + A printed certificate from the Ministry of Education |
| Honorable Mention Award | 10 | NT$7,000 + A printed certificate from the Ministry of Education |
* Note 1: The top 30 teams and the top 25% of the Private Leaderboard (regardless of their status, including members of the public) will receive an additional electronic certificate from the Ministry of Education's Artificial Intelligence Competition Program Office after submitting a report as required and having it reviewed and approved by the organizing committee's judging panel.
* Note 2: The final number of awards may be adjusted based on the number of entries and their scores. If any entry fails to meet the required standard (scores below the baseline set by the judging panel), the number of awards may be reduced or increased depending on the number of entries.
(2) Other Award Claim Guidelines
All winning teams agree to assist the organizers with the following arrangements; otherwise, they will be disqualified from receiving the award.
The competition will begin on Thursday, March 5, 2026 (Taiwan Time, UTC+8) and will officially conclude with the announcement of results on Thursday, July 23, 2026. The detailed schedule is as follows:
| Date | Item |
| 2026/03/05(THU)-2026/04/28(Tue) | Registration Opens & Training Set Release |
| March 2026 (the exact detail will be announced on the official competition website) | Regional Hands-on Workshops:
|
| 2026/06/03(Wed)-2026/06/10(Wed) | Validation Set Release |
| 2026/06/10(Wed)-2026/06/17(Wed) | Test Set Release & Prediction Submission |
| 2026/06/23(Tue) | Preliminary Results Announcement Private leaderboard |
| 2026/06/24(Wed)-2026/06/30(Tue) | Submission of Additional Deliverables (Report and Code) |
| 2026/07/23(Thu) | Final Ranking Announcement |
| 2027/03 | Award Ceremony(To be determined) |
Participants in VeriPromiseESG 2026 (hereinafter referred to as “the competition”) are required to develop an AI model capable of completing four core tasks, based on three datasets provided by the organizer: the Training Data, Validation Data, and Test Data, along with annotated sample data. The stages of the Competition are as follows:
Final rankings will be calculated using a weighted composite score across the four tasks to evaluate overall system performance (see “Task Evaluation Criteria” and “Evaluation Formula” for details).
All teams must submit the required technical report and original source code within the specified timeline to verify the absence of manual adjustments, misconduct, or plagiarism. Teams that fail to submit the required materials on time will not be included in the final ranking.
The judging panel, appointed by the organizer and composed of industry professionals and academic experts, will calculate the final score using a weighted average of the four subtasks:
| Evaluation Criteria | Description | Weight |
| Commitment Classification (Evaluation metrics: F1-Score) | Balance between precision and recall in identifying ESG commitment statements | 20% |
| Timeline Classification (Evaluation metrics: Macro-F1 Score) | Four-class classification performance for predicting appropriate verification timing | 15% |
| Evidence Identification (Evaluation metrics: F1-Score) | Ability to determine whether commitments are sufficiently supported by evidence | 30% |
| Clarity Classification (Evaluation metrics: Macro-F1 Score) | Three-class classification performance for evaluating evidence quality | 35% |
$$\begin{aligned} \textit{Total Score}=(\textit{Commitment Classification F1 Score}×0.20)\\+(\textit{Evidence Identification F1 Score}×0.30)\\+(\textit{Clarity Classification F1 Score}×0.35)\\+(\textit{Timeline Classification F1 Score}×0.15) \end{aligned}$$
All teams must carefully read the following provisions. In the event of disputes regarding rights or violations, the organizer reserves the right to revoke participation or award eligibility. Teams shall bear full responsibility for any consequences. If prizes have already been awarded, the organizer reserves the right to reclaim them.