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Nikkei BP Launches 'Student AI Leaders Award' to Honor AI-Driven Research and Learning

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Key facts

  • Nikkei BP Launches 'Student AI Leaders Award' to Honor AI-Driven Research and Learning
  • Nikkei BP has launched the 'Student AI Leaders Award' for graduate, undergraduate, and college students utilizing AI in research. Applications run June 5 to July 31, 2026, with up to 500,000 yen awarded to top winners.
  • Source: PR TIMES
  • Date: Fri Jun 05 2026 10:00:02 GMT+0900 (Japan Standard Time)

Direct answer

Nikkei BP has launched the 'Student AI Leaders Award' for graduate, undergraduate, and college students utilizing AI in research. Applications run June 5 to July 31, 2026, with up to 500,000 yen awarded to top winners.

Citation
Nikkei BP Launches 'Student AI Leaders Award' to Honor AI-Driven Research and Learning (Fri Jun 05 2026 10:00:02 GMT+0900 (Japan Standard Time)), PR TIMES
Source
PR TIMES
Date
Fri Jun 05 2026 10:00:02 GMT+0900 (Japan Standard Time)

AI Summary (NQ-processed)

Nikkei BP has launched the 'Student AI Leaders Award' for graduate, undergraduate, and college students utilizing AI in research. Applications run June 5 to July 31, 2026, with up to 500,000 yen awarded to top winners.

AI Analysis

Frequently Asked Questions

Q: Who is eligible to apply for the Student AI Leaders Award?
A: Students enrolled in graduate schools, universities, and technical colleges are eligible.
Q: What is the application period?
A: The application period is from June 5, 2026, to July 31, 2026.
Q: What are the award categories and prizes?
A: There are Natural Sciences and Social Sciences divisions, with 500,000 JPY for the Grand Prize and 200,000 JPY for the Excellence Prize in each.
Q: When and where will the final selection and award ceremony be held?
A: It will be held on September 29, 2026, at the Tokyo International Forum, inside the Nikkei XTECH NEXT TOKYO 2026 venue.
Q: What are the evaluation criteria for the awards?
A: The criteria include the originality of AI usage, social impact, contribution to research/learning, and critical understanding of AI (ethics/limitations).