[dbjapan] 【論文募集（締切9/2）】国際ワークショップSocDM2022 (ICDM2022併設)

[Shoko Wakamiya <wakamiya [at] is.naist.jp>]

日本データベース学会の皆様

奈良先端科学技術大学院大学の若宮と申します．

ポストパンデミック時代におけるソーシャルデータマイニングに関する
国際ワークショップ (SocDM2022) の論文募集について，投稿締切 (9/2) 

が近づいてまいりましたので，最終アナウンスをさせていただきます．

ぜひ投稿をご検討いただければ幸いです．

なお，1st cfp のあとにICDM2022の日程が2日前倒しとなり，

本ワークショップの開催日も11/28に変更になっております．

よろしくお願いいたします．

*******************************************************************

SocDM2022: The 2nd IEEE International Workshop on Social Data Mining
in the Post-pandemic Era
Orlando, FL, USA, November 28, 2022.
https://sociocom.naist.jp/icdm-socdm-2022/
*******************************************************************

The COVID-19 global pandemic still has a major impact on society and
the way human beings behave in space-time. Not only has the COVID-19
pandemic led to a dramatic loss of human life worldwide, but the socio
-economic and social disruptions caused by the pandemic and lockdowns
measure are also devastating. Many segments of our everyday life are
destabilized and novel trends appear, from work to study, commercial,
mobility, familial, and leisure activities to mention a few.

Amongst many approaches so far under development for a better
understanding of the way the COVID-19 pandemic impacts human behaviors
at large, changes in everyday activities, social data computing
appears as a promising direction to explore as nowadays social
networks provide many opportunities to infer novel human trends and
new forms of communications. This half-day workshop will report and
discuss novel modelling, social data mining, and AI approaches, as
well as computational developments that might provide a better
understanding of the epidemiologic crisis impact on human behaviors,
novel habits, and definitive trends that will appear in the
forthcoming post-pandemic era.

++ List of Topics ++
The workshop will address pandemic-era issues, which are not limited
to COVID-19. The followings are a non-exhaustive list of the topics:

- Social data computing for inferring the epidemiologic trends of
pandemic diseases
- Social data mining for the understanding of pre/peri/post-pandemic
mobility patterns
- Natural language processing for inferring pre/peri/post-pandemic
impacts
- Sensor-based approaches for tracing epidemic/pandemic infection
patterns
- Pandemic prediction models inferred from social data mining
- Social data analysis for studying societal impacts of a pandemic
- User and web-based interfaces for pandemic information broadcast
- Social data mining for cross-cultural, global vs. local impacts of a
pandemic
- Novel trends and applications associated with pandemic studies

++ Important Dates ++
- Submission Deadline: September 2, 2022
- Notifications of Acceptance: September 23, 2022
- Camera-ready deadline and copyright forms: October 1, 2022
- Workshop Day: November 28, 2022
All dates are 11:59 pm Pacific Daylight Time.

++ Submission Guidelines ++
Paper submissions should be limited to a maximum of 4 pages for short
paper and 8 pages for full paper in the IEEE 2-column format 

(https://www.ieee.org/conferences/publishing/templates.html), 

including the bibliography and any possible appendices. 

More detailed information is available in the IEEE ICDM 2022 Submission 

Guidelines (https://icdm22.cse.usf.edu/calls/Papers.html).

Please submit your manuscript through Cyberchair 

(https://wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=S20).

All accepted papers will be included in the ICDM'22 Workshop
Proceedings published by the IEEE Computer Society Press. Therefore,
papers must not have been accepted for publication elsewhere or be
under review for other workshops, conferences, or journals.

We plan to have a selection of best papers from the workshop to be
extended for a journal special issue.

++ Organizing committee ++
- Christophe Claramunt (Naval Academy Research Institute, France)
- Shoko Wakamiya (Nara Institute of Science and Technology, Japan)
- Shuntaro Yada (Nara Institute of Science and Technology, Japan)

++ Program Committee ++
- Eiji Aramaki (Nara Institute of Science and Technology, Japan)
- Mohsen Bahrami (MIT, USA)
- Andrea Ballatore (King’s College London (KCL), UK)
- Sanchari Das (University of Denver, USA)
- Angelica Lo Duca (IIT-CNR, Italy)
- Iwao Fujino (Tokai University, Japan)
- Sergio Ilarri (University of Zaragoza, Spain)
- Adam Jatowt (University of Innsbruck, Austria)
- Farid Karimipour (University of Tehran, Iran)
- Dimitrios Katehakis (FORTH-ICS, Greece)
- Yukiko Kawai (Kyoto Sangyo University, Japan)
- Mohammad Reza Malek (K.N.Toosi University of Technology, Iran)
- Ludovic Moncla (INSA, France)
- Peng Peng (Chinese Academy of Sciences, China)
- Fujio Toriumi (The University of Tokyo, Japan)
- Demetrios Zeinalipour-Yazti (University of Cyprus, Cyprus)
- Yihong Zhang (Osaka University, Japan)