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Premio CIER de Innovación. Postulación abierta hasta el 18 de Marzo de 2021. 📝
March 11th, 2021 
Daniela Lopez de Luise 
CFP: Special Track on AI for Tackling Dis/Misinformation during Pandemics @ ACM GoodIT2021
March 11th, 2021 Daniela Lopez de Luise Call For Papers: Special Track on AI for Tackling Dis/Misinformation
during Pandemics In conjunction with the ACM International Conference
on Information Technology for Social Good (GoodIT 2021)
The GoodIT conference is sponsored by ACM SIGCAS, the Association for
Computing Machinery's Special Interest Group on Computers & Society.
The conference focuses on the application of IT technologies to social
good.
The Special Track on AI for Tackling Dis/Misinformation during
Pandemics focuses on new data technologies based on artificial
intelligence, data governance, machine learning, natural language
processing, and social network analysis to aid experts in analyzing
large volumes of social media data in order to detect fake news,
misinformation, and disinformation. A number of open challenges need
more investigation from the research community, such as recent trends
in composing information disorder by combining false and real content,
the mechanisms that drive fake content diffusion during pandemics, how
to differentiate fake content from personal viewpoints, why people
tend to believe fake content and make decisions based on it during
pandemics, and what are the different motivations behind the
dissemination of fake content. Fact-checking and claim verification
are two important strategies that are worth incorporating in the
automated tackling and curtailment of fake content during and after
pandemics.
************ Key Dates ************
Papers Submission Due: May 1, 2021
Authors Notifications: June 22, 2021
Final Manuscript Due: July 10, 2021
GoodIT 2021: September 09-11, 2021
************ Important Links ************
Special Track Website: https://aitdmp.conceptechint.net
Submission Link: https://goodit2021.hotcrp.com/
************ Submission Guidelines ************
All submissions will be reviewed using a single-blind review process.
The identity of referees will not be revealed to authors, but authors
can keep their names on the submitted papers, on figures,
bibliography, etc.
Papers should not exceed 6 pages (US letter size) double column
including figures, tables, and references in standard ACM format.
Papers must be submitted electronically in printable PDF form.
Templates for the standard ACM format can be found here:
https://www.acm.org/publications/proceedings-template No changes to
margins, spacing, or font sizes are allowed from those specified by
the style files. Papers violating the formatting guidelines will be
returned without review.
ACM has partnered with Overleaf, a free cloud-based, collaborative
authoring tool, to provide an ACM LaTeX authoring template. The ACM
LaTeX template on Overleaf platform is available to all ACM authors
at: www.overleaf.com/gallery/tagged/acm-official
Accepted papers will be included in the ACM Digital Library. Special
issues associated with the conference are being organized.
************ Topics ************
Papers on practical as well as on theoretical topics and problems in
various topics related to rumors, fake news, misinformation, and
disinformation during and after pandemics, are invited, with special
emphasis on novel techniques and tools for automated tackling and
curtailment of fake content during and after pandemics. Topics include
(but are not limited to):
-AI approaches for the detection of online influence and manipulation
-AI approaches to identify misinformation and disinformation campaigns
-AI approaches for spotting misinformation and disinformation spreaders.
-Social media mining for automated detection of misinformation
propagation and disinformation circulation
-AI approaches for automated identification and verification of claims
-AI approaches for intention detection for misinformation and
disinformation contents
-AI approaches for credibility assessment of Social media sources
-AI approaches for fake news curtailment, filtering and prevention.
-AI approaches for analysis/detection of distributed and
multi-platform misinformation and disinformation disseminations
-AI approaches for predicting the Impact of misinformation and
disinformation during pandemics
-New datasets and evaluation methodologies to aid in automated
detection and analysis of misinformation and disinformation content in
social media channels
**********The Conference Sponsored by**********
Association for Computing Machinery's Special Interest Group on
Computers & Society http://www.sigcas.org/
Zoom lecture 6 April 2021 16:00-17:00 CET: Prof. Anna Vilanova on “Visual Analytics for Biomedical Applications”
March 11th, 2021 Daniela Lopez de Luise 
On Tuesday 6 April 2021, 16:00-17:00 CET the Dutch Society for Pattern Recognition and Image Analysis – NVPHBV
organizes its Spring Meeting 2021 with a series of e-lectures by world-renowned CVML experts (by Zoom).
The first lecture: Prof. Anna Vilanova (Eindhoven University of Technology, the Netherlands):
“Visual Analytics for Biomedical Applications”.
Prof. Anna Vilanova is full professor in Visual Analytics at TU/e. She will present the state-of-the-art in scientific visualization in this Big Data AI era.
This field is indispensable to come to a much better exploitation of the data, but above all in understanding the contextual complexity.
Prof. Vilanova has been pioneering this field, with substantial contributions.
Free registration and full info about the lecture and the speaker: www.nvphbv.nl/events.
Best regards,
Prof. Bart ter Haar Romeny
President Dutch Society for Pattern Recognition and Image Analysis
CFP AILBIZ@ICAIL21 (Deadline April 26) – A.I. For understanding the legal business
March 11th, 2021 Daniela Lopez de Luise AILBIZ – International Workshop on A.I. for Understanding the Legal Business (http://www.ailbiz.com/)
Collocated with International Conference on Artificial Intelligence and Law 2021 (https://icail.lawgorithm.com.br/)
Call for Contributions:
The main objective of AILBIZ 2021 is to establish a venue for sharing and discussing with the research community at ICAIL problems that are relevant to the use of AI and ML for understanding the legal business. It will host a selected group of invited speakers along with technical contributions from the research community with special focus in the following topics:
* Segmentation, normalization and classification of text narratives
* Derivation of legal work structure from time series of text data
* Natural Language Understanding in the legal business domain
* Unsupervised and semi-supervised learning for text mining in the legal domain
Paper Format and Submissions:
AILBIZ 2021 will follow the same submission format and guidelines as ICAIL 2021. Papers should not exceed 6 pages (excluding references and appendix) and must follow the ACM sigconf template (for LaTeX) or the interim template layout.docx (for Word), both at http://www.acm.org/publications/proceedings-template. All papers should be converted to PDF prior to electronic submission. Submissions should be uploaded into AILBIZ's submission page https://easychair.org/conferences/?conf=ailbiz2021 by the submission deadline.
Paper reviews will be double blind. Papers submitted for review should not include names and affiliations of the authors, nor an acknowledgments section. These aspects can be added at the camera-ready stage. The references should include published literature relevant to the paper, including previous works of the authors, though care should be taken in the style of writing in order to preserve anonymity.
Important Dates
* April 26, 2021: Paper Submission Deadline
* May 10, 2021: Paper Acceptance Notification
* May 24, 2021: Camera-Ready Version Deadline
* June 21-25, 2021: ICAIL 2021 (Workshop day to be announced)
Organizers:
* Rafael E Banchs, Intapp Inc., USA
* Shawn Hainsworth, Cooley LLP, USA
* Doaa Sammy, Cairo University, Egypt
* Luis F D'Haro, Universidad Politécnica de Madrid, Spain
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LatinX in CV @ CVPR 2021 – Call for Papers and Deadline Extension
March 11th, 2021 Daniela Lopez de Luise Design by 2b Consult