Hello VIS Community,
In light of the ongoing COVID-19 pandemic and the uncertainty around Australian travel restrictions, the VEC and the 2022 core conference committee have decided that it is in the best interest of the conference and the community to postpone the Melbourne, Australia event until 2023. The VEC truly appreciates the flexibility and dedication shown by our co-chairs Tim Dwyer, Sarah Goodwin and Michael Wybrow, and we are certain that VIS 2023 in Melbourne, Australia will be worth the wait!
The VEC is pleased to announce that VIS 2022 will be held in Oklahoma City, Oklahoma, USA. David Ebert, Danielle Szafir, and Hendrik Strobelt will co-chair the conference, and planning is already underway for the venue. We are grateful to David, Danielle and Hendrik for their upcoming leadership. We hope to see everyone in OKC next year!
Hello VIS Community,
It’s that time of the year: the VIS deadline is approaching fast. If you’re submitting a paper, we want to give you some guidelines on how to choose keywords on the submission form. A much more detailed overview is given in this post, and a list of keyword descriptions and example papers here. Here are some tips for selecting submission keywords:
Hello VIS community,
Since IEEE VIS 2020 we use a new set of keywords in several submission processes. The purpose of this blog post is to explain how the keywords matter to program committee members and to offer a little help in choosing keywords. A first blog post already covered how keywords matter for paper authors.
Read this text if you have been selected as a PC member for IEEE VIS. You should be interested to get a good set of paper suggested to you that you are interested in and maybe even excited about reviewing.
Hello VIS community,
Keyword selection has been a familiar fixture in the submission and review processes of IEEE VIS for decades. The primary use of keywords in the current PCS system is to create a “match score” between a paper and a potential reviewer. Such match scores are displayed in several stages during the review processes. For example, during the phase for program committee (PC) members to bid on papers, PC members can sort papers in the pool according to the match scores computed based on their individual expertise. When a PC member is looking for reviewers for a specific paper, match scores are automatically computed for the potential reviewers. The algorithm for allocating papers to PC members can be configured with different weighting of bidding information and match scores. Currently, the recommendation is to rely on the bidding information only. The VIS papers co-chairs often compute, visualize, and analyze the distribution of papers in relation to keywords. In the coming year, such information will be extremely useful to the Area Curation Committee (ACC) that reviews the VIS area model and the keyword set regularly.
One major task undertaken by the reVISe committee was to define a new set of keywords as part of the unification of the three conferences. In IEEE VIS 2020, this new set of keywords was deployed in the submission and review processes for several tracks including the full paper tracks of VAST, InfoVis, and SciVis, ahead of their unification in VIS 2021. The purpose of this blog post (Part 1) is to explain how the keywords matter to paper authors and to offer a little help in choosing keywords. This will be followed by a second blog post (Part 2) where we explain how the keywords matter to PC members.
The motivation for why the reVISe Committee was struck is to provide a unified and inclusive venue for the visualization community. It is a result of the growth of the community over the years, in terms of numbers, but also diversity of intellectual contribution types.
Previously, contribution types were neatly categorized into separate conferences or symposia at IEEE VIS (or even VisWeek prior to that). This required authors of the content to make decisions about which community to send specific papers to. However, through the growth of the visualization community, these boundaries became less clear. Further, the addition of new and emerging areas would further fragment the community. In response, reVISe proposed a unified governance model for visualization and visual analytics research.