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[dbjapan] 【論文募集(締切9/3)】国際ワークショップSDM2021 (ICDM2021併設)
- To: dbjapan [at] dbsj.org
- Subject: [dbjapan] 【論文募集(締切9/3)】国際ワークショップSDM2021 (ICDM2021併設)
- From: Shoko Wakamiya <wakamiya [at] is.naist.jp>
- Date: Fri, 9 Jul 2021 18:26:05 +0900
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 (SDM2021) の論文募集について案内をお送りいたします.
投稿締切は9月3日です.ぜひ投稿をご検討いただければ幸いです.
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 (SDM2021) の論文募集について案内をお送りいたします.
投稿締切は9月3日です.ぜひ投稿をご検討いただければ幸いです.
よろしくお願いいたします.
*******************************************************************
SDM2021: IEEE ICDM 2021 Workshop on Social Data Mining in the Post-
pandemic Era
Auckland, New Zealand, December 7, 2021
https://sociocom.naist.jp/icdm-sdm-2021/
*******************************************************************
The emergence of the COVID-19 global pandemic 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 disruption caused by the pandemic and lockdowns
measure is also devastating. Many segments of our everyday life are
destabilized, from work to study, commercial, mobility 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 approaches and
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 ++
Amongst many issues to address but not limited to the workshop will
address pandemic-era issues (not limited to COVID-19):
- 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 ++
- Paper Submission: September 3, 2021
- Acceptance Notification: September 24, 2021
- Camera-ready Deadline and Copyright Forms: October 1, 2021
- Workshop Day: December 7, 2021
++ 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 2021 Submission Guidelines (https://
icdm2021.auckland.ac.nz/cfp/).
Please submit your manuscript through CyberChair: https://wi-lab.com/
cyberchair/2021/icdm21/scripts/submit.php?subarea=S17&undisplay_detail
=1&wh=/cyberchair/2021/icdm21/scripts/ws_submit.php.
All accepted papers will be included in the ICDM’21 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.
++ 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
- Sanchari Das, University of Denver, USA
- Eduardo Graells-Garrido, Barcelona Supercomputing Center, Spain
- Iwao Fujino, Tokai University, Japan
- Jérôme Gensel, University of Grenoble, France
- Sergio Ilarri, Universidad de 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
- Didier Leibovici, University of Sheffield, UK & GeotRYcs, France
- Angelica Lo Luca, IIT-CNR, Italy
- Mohammad Reza Malek, K.N.Toosi University of Technology, Iran
- Miguel Mata, UPIITA-IPN, Mexico
- Yelena Mejova, ISI Foundation, Italy
- Géraldine Del Mondo, INSA Rouen, France
- Mir Mostafavi, Université Laval, Canada
- Peng Peng, LREIS, Beijing, China
- Nikos Petrellis, University of Peloponnese, Greece
- Georgios Santipantakis, University of Piraeus, Greece
- Panote Siriaraya, Kyoto Institute of Technology, Japan
- Demetrios Zeinalipour-Yazti, University of Cyprus, Cyprus
*******************************************************************
SDM2021: IEEE ICDM 2021 Workshop on Social Data Mining in the Post-
pandemic Era
Auckland, New Zealand, December 7, 2021
https://sociocom.naist.jp/icdm-sdm-2021/
*******************************************************************
The emergence of the COVID-19 global pandemic 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 disruption caused by the pandemic and lockdowns
measure is also devastating. Many segments of our everyday life are
destabilized, from work to study, commercial, mobility 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 approaches and
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 ++
Amongst many issues to address but not limited to the workshop will
address pandemic-era issues (not limited to COVID-19):
- 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 ++
- Paper Submission: September 3, 2021
- Acceptance Notification: September 24, 2021
- Camera-ready Deadline and Copyright Forms: October 1, 2021
- Workshop Day: December 7, 2021
++ 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 2021 Submission Guidelines (https://
icdm2021.auckland.ac.nz/cfp/).
Please submit your manuscript through CyberChair: https://wi-lab.com/
cyberchair/2021/icdm21/scripts/submit.php?subarea=S17&undisplay_detail
=1&wh=/cyberchair/2021/icdm21/scripts/ws_submit.php.
All accepted papers will be included in the ICDM’21 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.
++ 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
- Sanchari Das, University of Denver, USA
- Eduardo Graells-Garrido, Barcelona Supercomputing Center, Spain
- Iwao Fujino, Tokai University, Japan
- Jérôme Gensel, University of Grenoble, France
- Sergio Ilarri, Universidad de 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
- Didier Leibovici, University of Sheffield, UK & GeotRYcs, France
- Angelica Lo Luca, IIT-CNR, Italy
- Mohammad Reza Malek, K.N.Toosi University of Technology, Iran
- Miguel Mata, UPIITA-IPN, Mexico
- Yelena Mejova, ISI Foundation, Italy
- Géraldine Del Mondo, INSA Rouen, France
- Mir Mostafavi, Université Laval, Canada
- Peng Peng, LREIS, Beijing, China
- Nikos Petrellis, University of Peloponnese, Greece
- Georgios Santipantakis, University of Piraeus, Greece
- Panote Siriaraya, Kyoto Institute of Technology, Japan
- Demetrios Zeinalipour-Yazti, University of Cyprus, Cyprus
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