APR192027

PacificVis 2027 — 20th IEEE Pacific Visualization Conference

by IEEE Computer Society and the IEEE Visualization and Graphics Technical Community (VGTC)

conferenceIn-PersonUpcomingStarts in 8 months

IEEE's Asia-Pacific visualization conference, with a co-located Visualization Meets AI workshop.

April 19–22, 2027·Busan, South Korea·Paid
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THE DAILY BRIEF
APR192027
PacificVis 2027 — 20th IEEE Pacific Visualization Conference

by IEEE Computer Society and the IEEE Visualization and Graphics Technical Community (VGTC)

conferenceIn-Personupcoming

IEEE's Asia-Pacific visualization conference, with a co-located Visualization Meets AI workshop.

About This Event

PacificVis 2027, the 20th IEEE Pacific Visualization Conference, runs 19-22 April 2027 in Busan, South Korea, with Sungahn Ko of POSTECH as general chair and Jinwook Seo of Seoul National University chairing the steering committee. Hosted and co-sponsored by the IEEE Computer Society and the IEEE Visualization and Graphics Technical Community, PacificVis has run annually across the Asia-Pacific region since Kyoto in 2008, rotating through Tokyo, Seoul, Bangkok and Sydney, and describes itself as a conference "for visualization and visual analytics research — advancing the techniques, systems, and applications that turn data into insight". Four calls are open for 2027: a TVCG Journal Paper Track with two-stage peer review, a Conference Paper Track, VisNotes for short papers and posters, and a Visual Data Storytelling Contest, plus a co-located Visualization Meets AI 2027 workshop.

At a Glance

Date
April 19–22, 2027
Location
Busan, South Korea
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE Computer Society and the IEEE Visualization and Graphics Technical Community (VGTC)
Added
Aug 23, 2026
Updated
Aug 23, 2026

Topics & Focus Areas

Data visualizationVisual analyticsVisualization for AI and machine learningVisualization systems and techniquesVisual data storytellingInformation visualizationInteractive analysis toolsHuman-centred data analysis

Who Should Attend

  • Heads of data science
  • Analytics platform leads
  • Data visualization engineers
  • UX and product leads for analytics tooling
  • BI and reporting managers
  • Visualization researchers

Organizer

I

IEEE Computer Society and the IEEE Visualization and Graphics Technical Community (VGTC)

pacificvis.org/

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About This Event

PacificVis 2027, the 20th IEEE Pacific Visualization Conference, runs 19-22 April 2027 in Busan, South Korea, with Sungahn Ko of POSTECH as general chair and Jinwook Seo of Seoul National University chairing the steering committee. Hosted and co-sponsored by the IEEE Computer Society and the IEEE Visualization and Graphics Technical Community, PacificVis has run annually across the Asia-Pacific region since Kyoto in 2008, rotating through Tokyo, Seoul, Bangkok and Sydney, and describes itself as a conference "for visualization and visual analytics research — advancing the techniques, systems, and applications that turn data into insight". Four calls are open for 2027: a TVCG Journal Paper Track with two-stage peer review, a Conference Paper Track, VisNotes for short papers and posters, and a Visual Data Storytelling Contest, plus a co-located Visualization Meets AI 2027 workshop.

Key Dates & Deadlines

  • Paper submission deadline
  • Notification of acceptance

At a Glance

Date
April 19–22, 2027
Location
Busan, South Korea
Format
In-Person
Event Type
Conference
Status
Upcoming
Pricing
Paid
Organizer
IEEE Computer Society and the IEEE Visualization and Graphics Technical Community (VGTC)
Added
Aug 23, 2026
Updated
Aug 23, 2026

Topics & Focus Areas

Data visualizationVisual analyticsVisualization for AI and machine learningVisualization systems and techniquesVisual data storytellingInformation visualizationInteractive analysis toolsHuman-centred data analysis

Who Should Attend

  • Heads of data science
  • Analytics platform leads
  • Data visualization engineers
  • UX and product leads for analytics tooling
  • BI and reporting managers
  • Visualization researchers

Why Attend

Every AI programme eventually hits the same wall — the model works, but nobody downstream can see what it is doing or defend it to a regulator — and PacificVis is where the techniques for that get published, with the 2027 edition co-locating a Visualization Meets AI workshop directly at that intersection. For a head of data science, an analytics platform lead or a product director building dashboards, model-monitoring surfaces and decision-support tools, four days in Busan buys peer-reviewed work on visualization systems and visual analytics, plus a published fee schedule from $700 that makes it one of the cheapest research conferences to justify.

Event Features

  • TVCG Journal Paper Track with two-stage peer review
  • Conference Paper Track on visualization techniques and systems
  • VisNotes track for short papers and posters
  • Visual Data Storytelling Contest
  • Co-located Visualization Meets AI 2027 workshop (separate call for participation)
  • Specialised workshops programme alongside the main tracks

What Makes This Unique

  • The IEEE visualization community's Asia-Pacific conference, run annually since Kyoto in 2008 and rotated through Tokyo, Seoul, Bangkok and Sydney — a different author and attendee base from IEEE VIS.
  • The full 2027 fee schedule is already published eight months out, from $700 early IEEE-member registration down to $410 for lifetime IEEE members, so the trip can be budgeted before registration even opens.
  • Four distinct submission routes: a TVCG Journal Paper Track with two-stage peer review, a Conference Paper Track, VisNotes short papers and posters, and a Visual Data Storytelling Contest.
  • A co-located Visualization Meets AI 2027 workshop with its own call for participation, aimed squarely at the visualization/AI intersection.
  • Selected papers are published in the IEEE TVCG journal through the VGTC sponsorship.

Industries Represented

TechnologyData & AnalyticsResearch & Academia

Pricing Details

The 2027 fee schedule is published; the registration link and the early-bird cut-off date are still TBA. Early registration: IEEE member $700, non-IEEE member $830, IEEE student member $505, non-IEEE student $600, lifetime IEEE member $410. Early one-day: $250 / $290 / $190 / $220. Late or on-site: IEEE member $850, non-IEEE member $1,010, IEEE student member $610, non-IEEE student $725, lifetime IEEE member $490; late one-day $290 / $340 / $220 / $300. Each accepted paper must carry at least one full registration.

Organizer

I

IEEE Computer Society and the IEEE Visualization and Graphics Technical Community (VGTC)

pacificvis.org/

Frequently Asked

When is PacificVis 2027?
PacificVis 2027 takes place April 19–22, 2027 in Busan, South Korea.
Where is PacificVis 2027 held?
PacificVis 2027 is held in Busan, South Korea. The event format is in-person.
What is the PacificVis 2027 submission deadline?
The next PacificVis 2027 deadline is paper submission deadline on Nov 8, 2026. Remaining dates: Notification of acceptance — Dec 15, 2026.
How much does PacificVis 2027 cost?
PacificVis 2027 is paid. The 2027 fee schedule is published; the registration link and the early-bird cut-off date are still TBA. Early registration: IEEE member $700, non-IEEE member $830, IEEE student member $505, non-IEEE student $600, lifetime IEEE member $410. Early one-day: $250 / $290 / $190 / $220. Late or on-site: IEEE member $850, non-IEEE member $1,010, IEEE student member $610, non-IEEE student $725, lifetime IEEE member $490; late one-day $290 / $340 / $220 / $300. Each accepted paper must carry at least one full registration.
Who should attend PacificVis 2027?
PacificVis 2027 is aimed at Heads of data science, Analytics platform leads, Data visualization engineers, UX and product leads for analytics tooling, BI and reporting managers, Visualization researchers.
What topics does PacificVis 2027 cover?
PacificVis 2027 covers Data visualization, Visual analytics, Visualization for AI and machine learning, Visualization systems and techniques, Visual data storytelling, Information visualization, Interactive analysis tools, Human-centred data analysis.

Sources

This page was written from 4 sources, 2 on domains other than pacificvis2027.github.io.

  1. 1.pacificvis2027.github.iopacificvis2027.github.iovendor
  2. 2.pacificvis2027.github.ioregistrationvendor
  3. 3.pacificvis.orgpacificvis.org
  4. 4.myhuiban.com286
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