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Workshop · 2026

TRUSTMORE 2026 · Trustworthy Multimodal Agents

Part of IEEE Big Data 2026

An IEEE Big Data workshop for original work on trustworthy multimodal agents. The organizer and OpenReview currently disagree by five hours on the deadline, so the earlier operational instant is shown.

Official call ↗

Next action

Submission deadline · earlier operational cutoff

Oct 5, 2026

OpenReview stores 2026-10-05T06:59:00Z; the organizer says October 4 AoE.

Organizer: October 4 AoE; OpenReview: October 5, 06:59 UTC

Requirements before the deadline

The organizer does not state a high-school policy. No school-level eligibility statement appears in the reviewed call.

  • Original double-blind manuscript in a listed contribution format
  • At least one author must register at the author rate if accepted
  • In-person or supported remote presentation

Edition timeline

  1. Submission deadline · earlier operational cutoff

    Oct 5, 2026

    Evidence and source

    OpenReview stores 2026-10-05T06:59:00Z; the organizer says October 4 AoE.

    View source ↗
  2. Author notification

    Oct 21, 2026

    Evidence and source

    The organizer lists October 21, 2026.

    View source ↗
  3. IEEE Big Data begins

    Dec 14, 2026

    Evidence and source

    IEEE Big Data 2026 runs December 14–17 in Phoenix.

    View source ↗

Costs and participation

Submission
No submission fee was stated.
Registration
Required author rate: $850 for an IEEE member (including student/life member) or $1,020 for a nonmember (including student nonmember).
Accompanying adult
Unknown — not verified by the reviewed sources
Travel & lodging
Optional for a remote presenter; Phoenix travel and lodging are otherwise participant-paid.
Materials
Unknown — not verified by the reviewed sources
Publication
Included through the required author registration; no separate publication fee was verified.
Aid & support
Unknown — not verified by the reviewed sources

Participation modes

Remote submission · Remote presentation · In person

“Unknown” never means free. Amounts and attendance obligations can change by edition; confirm them with the organizer before committing.

What participation can lead to

  • — Peer-reviewed IEEE Big Data workshop paper
  • — IEEE Big Data Workshop Proceedings