Judging criteria, official points and data

ISEF Judging Criteria: 100 points, read with data

ISEF judging criteria allot 10 points to the research question, 15 to design and methodology, 20 to execution, 20 to creativity and potential impact and 35 to presentation, of which the interview is 25, the largest single item.

By CIT Intelligence Architect|Apgujeong, Seoul|Last reviewed 2026-10-11|한국어 페이지

At a glance

  • 100 judging points: question 10 · design 15 · execution 20 · creativity and impact 20 · presentation 35
  • Presentation 35 = poster 10 + interview 25, the largest single item
  • Abstract signals tied to the rubric: comparison +13.5 pts, metric +9.0, novelty +23
  • Only the abstract is observable from outside; the 25 interview points are off the data
  • One rubric for science and engineering
How the 100 judging points are split (Society for Science rubric)
10 pts15 pts20 pts20 pts10 pts25 pts
Question / problem 10 ptsDesign / method 15 ptsExecution 20 ptsCreativity / impact 20 ptsPoster 10 ptsInterview 25 pts
100 pts
Grand-award judging total (science and engineering)
35 pts
Presentation: poster 10 + interview 25
20 pts
Execution: data collection and analysis, or build and test
20 pts
Creativity and potential impact
15 pts
Design and methodology
10 pts
Research question or problem

Primary AI education and portfolio routes

International-school coursework and EC rules differ from science and gifted-school rules. Start with the international-school route, then check the gifted-school route separately.

The Society for Science grand-award rubric, identical for science and engineering projects, is: research question or problem 10 points, design and methodology 15, execution (data collection and analysis, or construction and testing) 20, creativity and potential impact 20, presentation 35 (poster 10, interview 25). The Society states that considerable emphasis is placed on creativity and presentation, especially the interview. From outside, only the abstract is observable. Abstracts with a baseline comparison won grand awards 13.5 points more often, those with metrics, p-values or quantified results 8 to 12 points more, those with a novelty claim 23 points more. The 25-point interview is the part this data cannot see and the part judges weight most.

Rubric sections and data signals

Grand-award rate by the abstract signal behind each rubric section
Grand rate, abstracts with the signalGrand rate, abstracts without it
  1. Creativity and impact (20): novelty claim45.2%22.2%
  2. Creativity and impact (20): cost claim39.2%24.7%
  3. Design and methodology (15): baseline comparison39.2%25.7%
  4. Execution (20): named metric33.9%24.9%
  5. Presentation (indirect): first person singular34.6%26.5%
  6. Execution (20): p-value34.5%26.6%
  7. Creativity and impact (20): application claim30.9%26.1%
  8. Research question (10): stated gap30.3%25.6%
  9. Execution (20): replication31.1%27.0%
  10. Execution (20): sample size29.8%26.9%
  11. Presentation (indirect): first person plural28.9%26.9%
  12. (no mapping) limitations or future work25.1%27.3%
Abstract features and grand-rate lift (2021 to 2026). The mapping to rubric sections is CIT's interpretation.
Abstract featureShareGrand (with)Grand (without)Lift (pts)
Research question (10): stated gap31.5%30.3%25.6%+4.7
Design and methodology (15): baseline comparison9.9%39.2%25.7%+13.5
Execution (20): named metric24.1%33.9%24.9%+9.0
Execution (20): p-value6.2%34.5%26.6%+8.0
Execution (20): sample size5.6%29.8%26.9%+3.0
Execution (20): replication2.2%31.1%27.0%+4.2
(no mapping) limitations or future work12.0%25.1%27.3%-2.2
Creativity and impact (20): cost claim16.0%39.2%24.7%+14.4
Creativity and impact (20): application claim19.8%30.9%26.1%+4.8
Creativity and impact (20): novelty claim21.2%45.2%22.2%+23.0
Presentation (indirect): first person plural6.6%28.9%26.9%+2.0
Presentation (indirect): first person singular7.0%34.6%26.5%+8.1

Download table data (CSV): abstract_features.csv

Sizing the problem in people or dollars also belongs to the research-question section: million, billion, annually and worldwide appear far more often in First and Second Award abstracts than in no-award abstracts. For teams, the criteria state that all members should demonstrate significant contributions to and an understanding of the project.

The 25 points the data cannot see

Every number in this series indirectly observes at most 75 of the 100 points. The 25-point interview is where the student explains the decisions and limits of the work; the only indirect signal is that abstracts written in the first person singular won slightly more often (34.6% vs 26.5%). The part of preparation that cannot be checked against data is the part the judges weight most. The criteria are published on the Society for Science judging page.

Judging day in rubric points (presentation 35 = poster 10 + interview 25)
10 pts
Poster
what judges read first
Q and A
25 pts
Interview
explain the decisions and limits yourself
team projects
Every team member
must show a real contribution and understanding
outside the data
75 pts
The other 75 points
seen only indirectly through abstract signals

Frequently asked questions

How are ISEF grand awards scored?
Which section matters most?
Can an award be predicted from the abstract alone?
What extra do judges look for in a team?

Data and method

Two public sources. From the Society for Science abstract database (abstracts.societyforscience.org) we compiled every ISEF finalist project from 2014 to 2026: 17,565 projects with title, category, fair country, awards and full abstract. From the isef.net project library we took the award-tier flags for the 8,134 ISEF projects of 2021 to 2026 and joined them to the abstracts by year and booth id. Compiled on 2026-10-11.

A grand award means a First to Fourth Award or Best of Category, roughly the top 27% of each category. A special award is given by a sponsoring organization with its own judges. ISEF 2020 was held without judging and is excluded from every rate. The abstract database carries no 2025 awards and misses most Materials Science grand awards after 2017, so award flags for 2021 to 2026 combine both sources. An AI mention means the title or abstract contains a machine-learning term; it does not mean the project is about AI. All numbers are correlations, and Korean per-category figures rest on 2 to 24 projects, so read them as direction rather than precision.

Sources

The figures on this page are category-level base rates compiled from public ISEF results. They do not predict or promise any student's award, selection or admission. CIT does not guarantee awards, selection or admission.

ISEF data series

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