AAO research
AAO EB-1A decision Apr022009_02B2203: material science and published-material evidence pitfalls for eb-1a
An EB-1A petition must provide independent, objective evidence that any award is nationally or internationally recognized, and salary comparisons must be made to the correct occupational median; vague internal letters and inappropriate wage benchmarks are insufficient. Independent, objective documen
Decision Snapshot
Field Value --- --- Decision ID Apr022009_02B2203 Decision date 2009-04-02 Outcome dismissed Field or occupation material science Final merits discussed Yes
Criteria Discussed
awards
high_salary
judging
leading_critical_role
original_contributions
scholarly_articles
Criteria Accepted
Not stated in the extracted decision plan.
Criteria Rejected
awards
high_salary
leading_critical_role
original_contributions
scholarly_articles
Core Lesson
An EB-1A petition must provide independent, objective evidence that any award is nationally or internationally recognized, and salary comparisons must be made to the correct occupational median; vague internal letters and inappropriate wage benchmarks are insufficient.
Evidence Issue
Independent, objective documentation showing the award’s national/international recognition (e.g., press coverage, award criteria, list of past recipients).
Salary comparison to the correct occupational median and supporting wage data.
Specific evidence of a leading or critical role (e.g., organizational charts, letters describing responsibilities).
Proof of original contributions with measurable impact (patents, citation metrics, commercial success).
Adequate citation evidence for publications (number of citations, impact factor, expert testimony).
How This Connects
This decision is part of Extraordinary's AAO EB-1A corpus. It is exposed as a structured decision card so readers, search engines, and AI search systems can connect the decision to broader EB-1A evidence patterns.
Source Note
Non-precedent AAO decisions are used as evidence examples. They are not binding authority and do not predict any individual case.