I'm subscribing in hopes that someone can please help me understand why the
world hates me. Everyone but me knows what's going on with my life. Why?
What was on the sd card that got me into this? What did I do to anyone to
deserve all this? All I want is answers I'm tired of not knowing but
everyone else does
*** Apologies for multiple posting ***
*Information Retrieval from Microblogs during Disasters (IRMiDis)*
https://sites.google.com/view/irmidis-fire2022/irmidis
Track in conjunction with FIRE 2022 (http://fire.irsi.res.in/fire/2022/home),
December 9-13, 2022, Kolkata (Hybrid Event)
The IRMiDis track aims to develop datasets and methods for solving various
practical research problems associated with a disaster or pandemic
situation. The IRMiDis track has been run successfully with FIRE in the
years 2017, 2018 and 2021.
This year IRMiDis will consist of two important classification tasks over
microblogs/tweets associated with the COVID-19 pandemic:
(1) classifying tweets according to their vaccine-related sentiment
(pro-vaccine, neutral, anti-vaccine)
(2) identifying tweets that mention someone experiencing COVID-19 symptoms,
which is useful for detecting upcoming surges in COVID cases
For both tasks, we will provide training data annotated by human workers,
and test data for evaluating the submitted models.
*All participating teams will get to publish a working notes paper in
the FIRE workshop proceedings. The two best-performing teams in each task
will be awarded winner and runner-up certificates, and their names will be
put up on the track website.*
Training data has already been released. Participating teams need to submit
runs by August 1. More details on how to participate are on the IRMiDis
site: https://sites.google.com/view/irmidis-fire2022/irmidis.
Kind Regards,
*Kripabandhu Ghosh*
Co-organizer
IRMiDis
*** Apologies for cross-posting ***
Dear colleagues,
We have a fully-funded PhD position in the exciting area of Responsible
Natural Language Processing and Machine Learning for Healthcare in the
Amsterdam
UMC <https://www.amsterdamumc.org/en/research.htm> at the University of
Amsterdam <https://www.uva.nl/en>!
Do you have a strong background in NLP and AI, and a keen interest in
applications in healthcare, multilingual language models and model
interpretability? Please consider applying, we are accepting applications
until June 12, 2022!
A few of the exciting projects you can contribute to include developing
technology to predict risk of cancer from patients’ medical notes, and risk
of developing mental disorders from electronic patient records and other
non-clinical data (e.g., social media).
The PhD will be jointly supervised by myself
<https://iacercalixto.github.io/> and prof. Ameen Abu-Hanna
<https://kik.amc.nl/home/aabuhanna/>! Apply here:
https://werkenbij.amsterdamumc.org/en/vacatures/research/phd-natural-langua…
(Please feel free to share with your students/communities)
Have a great week,
Iacer.
*Iacer Calixto* | Assistant Professor of Artificial Intelligence in Medicine
| Department of Medical Informatics, Amsterdam UMC, University of Amsterdam
i.coimbra(a)amsterdamumc.nl | iacer.calixto(a)uva.nl | iacercalixto.github.io.
<http://iacercalixto.github.io/>
Member of the ACL <https://www.aclweb.org/portal/> and the ELLIS Society
<https://ellis.eu/>.
*** Apologies for multiple posting ***
Information Retrieval from Microblogs during Disasters
(IRMiDis)https://sites.google.com/view/irmidis-fire2022/irmidis
Track in conjunction with the Annual Conference of the Forum for
Information Retrieval Evaluation (FIRE 2022 -
http://fire.irsi.res.in/fire/2022/home), December 9-13, 2022, Kolkata
(Hybrid Event)
The Information Retrieval from Microblogs during Disasters (IRMiDis)
track aims to develop datasets and methods for solving various
practical research problems associated with a disaster or pandemic
situation. The IRMiDis track has been run successfully with FIRE in
the years 2017, 2018 and 2021. This year IRMiDis will consist of two
important classification tasks over microblogs/tweets associated with
the COVID-19 pandemic.
*** Task 1: COVID-19 vaccine stance classification from tweets ***
It is important to understand the vaccine-stance of people in order to
nudge people towards intake of COVID vaccines. With this motivation,
this task aims to build an effective 3-class classifier on tweets with
respect to the stance reflected towards COVID-19 vaccines. The 3
classes are:
(1) AntiVax - the tweet indicates hesitancy (of the user who posted
the tweet) towards the use of vaccines.
(2) ProVax - the tweet supports / promotes the use of vaccines.
(3) Neutral - the tweet does not have any discernible sentiment
expressed towards vaccines or is not related to vaccines
*** Task 2: Detection of COVID-19 symptom-reporting in tweets ***
Quickly identifying people who are experiencing COVID-19 symptoms is
important for authorities to arrest the spread of the disease. In this
task, we explore if tweets that report about someone experiencing
COVID-19 symptoms (e.g., 'fever', 'cough') can be automatically
identified. The task is to build an 4-class classifier on tweets that
can detect tweets that report someone experiencing COVID-19 symptoms.
The 4 classes are:
(1) Primary Reporting - The user (who posted the tweet) is reporting
symptoms of himself/herself.
(2) Secondary Reporting - The user is reporting symptoms of some
friend / relative / neighbour / someone they met.
(3) Third-party Reporting - The user is reporting symptoms of some
celebrity / third-party person.
(4) Non-Reporting - The user is not reporting anyone experiencing
COVID-19 symptoms, but talking about symptom-words in some other
context or giving only general information about COVID-19 symptoms.
For both tasks, we will provide training data annotated by human
workers, and test data for evaluating the submitted models. Details of
how to participate are available at
https://sites.google.com/view/irmidis-fire2022/irmidis.
*** Timeline ***
June 6 -- open track website and training data release
July 15 -- test data release
August 1 -- run submission deadline
August 15 -- results declared
September 15 -- Working notes due
October 15 -- Camera ready copies of working notes and overview paper due
*** Organisers ***
Moumita Basu, Amity University Kolkata, India
Soham Poddar, Indian Institute of Technology Kharagpur, India
Saptarshi Ghosh, Indian Institute of Technology Kharagpur, India
Kripabandhu Ghosh, Indian Institute of Science Education and Research,
Kolkata, India
Kind Regards,
*Kripabandhu Ghosh*
Co-organizer
IRMiDis
[apologies for cross-posting ]
*Symposium on Artificial Intelligence and Law (SAIL 2022)*
June 6–9, 2022 | Virtual event
https://sites.google.com/view/sail-2022/
CALL FOR PARTICIPATION
The 2nd edition of the Symposium on Artificial Intelligence and Law (SAIL 2022)
aims to bring together experts from Industry and Academia to discuss the
future of AI and Law. The Symposium aims to provide a venue for AI-Law
researchers
and Law practitioners to present and discuss research results, use cases,
innovative ideas, challenges, and opportunities that arise from
applications of AI in the Legal Domain.
The Symposium is being organized by AI researchers from IIT Kharagpur, IIT
Kanpur, IIT(ISM) Dhanbad, IISER Kolkata, TCG CREST, CSIRO Australia,
University of Glasgow, University College London, and Law researchers from
WBNUJS, Kolkata, India.
== Invited talks ==
The symposium will have invited talks from the following eminent
researchers:
* Bruce Hedin - President and Director of Science, Technology, and Ethics
Consulting, Hedin B Consulting, USA
* Elliot Ash - Assistant Professor of Law, Economics, and Data Science at
ETH Zurich's Center for Law & Economics, Switzerland
* Graham McDonald - Lecturer, School of Computing Science, University of
Glasgow, Scotland
* Karl Branting - Chief Scientist, Machine Learning for Computational Law,
The MITRE Corporation, USA
* Ken Satoh - Professor, National Institute of Informatics, Japan
* Michal Araszkiewicz - Department of Legal Theory, Jagiellonian
University, Poland; Partner at Araszkiewicz Cichoń Araszkiewicz Law Firm,
Poland
* Tom Vacek - Senior Research Scientist, Thomson Reuters, USA
* Trevor J.M. Bench-Capon - Honorary Visiting Professor, Department of
Computer Science, University of Liverpool, UK
Details are available on the symposium website
https://sites.google.com/view/sail-2022/.
== Participation (virtual) ==
Anyone interested in Law or application of AI in the legal domain is
welcome to attend. Participation is free of cost, but prior registration is
necessary on the symposium website (see under the "Participate" tab) by
June 2.
Kind Regards,
*Kripabandhu Ghosh*
Co-organizer
SAIL 2022
Apologies for cross-posting!
===
Call for Participation / EU COST Action `Multi3Generation' Training School
*TRAINING SCHOOL 2022*
*REPRESENTATION MEDIATED MULTIMODALITY: *GROUNDED REPRESENTATION,
REASONING, AND LEARNING FOR INTERACTIVE INTERPRETATION
https://codesign-lab.org/school2022/
Initiative of EU COST Action / Multi3Generation >
https://multi3generation.eu
*ABOUT THE TRAINING SCHOOL*
The training school on ``Representation Mediated Multimodality'' provides a
consolidated perspective on the theoretical, methodological, and applied
understanding of representation mediated multimodal sensemaking at the
interface of language, knowledge representation and reasoning, and
visuo-auditory computing. Intended purposes -addressed in the school-
encompass diverse operative needs such as explainable multimodal
commonsense understanding, multimodal generation/synthesis for
communication, multimodal summarisation, multimodal interpretation guided
decision-support, adaptation & autonomy, and analytical visualisation.
The training school particularly consolidates and presents a novel and
emerging view of state-of-the-art multimodal, neurosymbolic grounding
primarily through a confluence of methods in Artficial Intelligence,
Computational Linguistics, Vision, Speech and their impact on interactional
and communicative acts/artefacts in everyday life and specialist
professional work. Here, multimodal interpretation is to be construed in
the context of diverse forms of imagery, e.g., encompassing perceptual and
communicative data sources such as image, video, language, audition, text,
eye-tracking, neurophysiological markers in behavioural / clinical
settings.
In this backdrop, the training school particularly focusses on grounded
knowledge representation, reasoning, and learning (for linguistic purposes)
through the following emerging research-driven themes that are of high
interest:
- Space and Language
- Computational Linguistics
- Cognitive Linguistics
- Cognitive Vision
- Vision and Language
- Neurosymbolism
- Narrative - Discourse
- Computational Models of Narrative
- Speech and Language Technologies
- Human-Centred AI
The principal training school programme --consisting of keynotes, invited
talks, and tutorials-- will categorically address questions such as:
- Explainability and transparency in multimodal models
- Neurosymbolism / Interaction between symbolic and sub-symbolic
representations in models
- Commonsense knowledge representation and reasoning, and its role in
multimodal models
- Complementarity / redundancy among data sources or modalities
- Situated reasoning, e.g., for language generation, decision-making
Of particular significance to the training school are themes that benefit
both public and private human-centred technological services most directly
affecting EU citizens in an accessible, multilingual Europe, and have
strong economic and societal impacts. The training school will focus on
human-machine interaction considerations in select application areas of
emerging societal significance, such as autonomous systems, cognitive
robotics, multi-lingual language technologies.
Location: Schloss Etelsen / Bremer Straße 2, 27299 Langwedel, Germany
Travelling to Schloss Etelsen / https://schloss-etelsen.de
<http://schloss-etelsen.de/>
The school is being organised as part of the COST action Multi3Generation (
https://multi3generation.eu)
For more information on the school and programme visit:
https://codesign-lab.org/school2022/
*TARGET AUDIENCE*
Participants are expected to primarily be doctoral candidates and
research-driven students. Participants interested in obtaining a
scholarship should submit an application to participate as per Application
Guidelines (details below). Selected applicants will be financially
supported for their participation in the school.
The Scholarship includes travel expenses and a daily allowance which covers
accommodation, meals, and local travel expenses. The exact amount of the
scholarship is based on the expected costs and the maximal amount for
reimbursement will be communicated after acceptance.
*APPLICATION -OR- EXPRESSION OF INTEREST*
Applications are accepted and evaluated in two rounds, with a first
deadline on *May 15 2022*, and a second deadline on *June 5 2022*; after
this date, new applications will only be considered if there are still
places available (please note that places are limited even if a scholarship
is not sought).
- Application to participate (with scholarship): PRESENTLY OPEN /
Submit: Easychair: Training School 2022
<https://easychair.org/conferences/?conf=dcts2022>
- Expression of interest to participate (without scholarship):
PRESENTLY OPEN / Email: contact School Chair
*Important Dates: *
- First deadline : May 15 2022 (application process remains open for
late applications)
- First notification: May 23 2022
- Second deadline: June 5 2022
- Second notification: June 13 2022
*SCHOLARSHIP ELIGIBILITY AND GUIDELINES *
For participation with a scholarship, the Training School is primarily (but
not exclusively) aimed at early stage doctoral researchers and
research-inclined students enrolled full-time in an advanced educational
programme.
Eligible candidates have to comply with the COST Vademecum (
https://www.cost.eu/uploads/2021/04/Vademecum-28-April-2021.pdf), i.e.,
they shall be affiliated to, an academic institution, organisation or
company which has within its remit a clear association with performing
research and is from a COST Full Member, a COST Cooperating Member country,
or a Near Neighbour Country (NNC) (https://www.cost.eu/about/members/).
Eligible candidates need to submit the following items in a single PDF
document via Easychair:
1. One-page CV
2. Reference letter by principal research/thesis advisor, motivating the
need for financial support
3. In max 300 words, Research Description (if already pursuing a thesis
or similar), or else a Motivating Statement of Interest in the topics of
the school. If applicable, also include at most two brief citations to your
own most relevant peer-reviewed publications (do not cite unpublished or
informal publications).
4. Candidates who receive a Scholarship to join the Training School are
expected to participate and present their research in a doctoral colloquium
during the school; further guidelines about the doctoral colloquium will be
provided with the letter of acceptance.
*SELECTION CRITERIA*
Applicants will be selected based on personal research interest and
experience relevant to the school’s theme and topics. The selection
committee will do their best in terms of ensuring fair and inclusive
distribution with respect to gender, geographic location.
Following acceptance, applicants will have to register via the e-COST
platform and add their banking and other details in order to receive a
formal invitation via e-COST and be eligible for reimbursement of costs. A
requirement to be reimbursed is that accepted participants officially apply
to become members of Multi3Generation (details will be provided as part of
the notification).
*ORGANIZATION*
*Training School 2022 Chairs*
- Mehul Bhatt (Örebro University, Sweden)
- Albert Gatt (Utrecht University, Netherlands)
- Erkut Erdem (Hacettepe University, Turkey)
- Helena Moniz (University of Lisbon, Portugal)
*Doctoral Colloquium Chairs*
- Adrian Muscat (University of Malta, Malta)
- Jakob Suchan (DLR, Germany)
*Publicity and Industrial Outreach Chairs*
- Iacer Calixto (University of Amsterdam, Amsterdam University Medical
Centers, Netherlands)
- Fabio Kepler (Unbabel)
- José Guilherme Camargo de Souza (Unbabel)
Dear colleagues,
this message is to inform you that, due to many requests, the paper
submission deadline has been extended to APRIL 04, 2022. Please note that
this new deadline is firm and final.
Yours sincerely
IEEE ICTS4eHealth Conference Chairs
=======================================================
2nd Edition of IEEE International Conference on ICT Solutions for e-Health
ICTS4eHealth 2022
Rhodes, Greece, June 30 - July 03, 2022
www.icts4ehealth.icar.cnr.it
in conjunction with the Twenty-Seven IEEE Symposium on Computers and
Communications
Submit your paper by using the link: https://edas.info/N29419
=======================================================
MISSION:
-----------------------------------------------------------------------------------------------
e-Health is one of the major research topics that have been attracting
cross-disciplinary research groups. The deployment of new emerging ICT
technologies for Health, especially based on Cloud computing, Internet of
Things (IoT), and Computational Intelligence, is attracting the interest of
many researchers. Following five successful workshop editions, last year
ICTS4eHealth became an International IEEE Conference, and we are now proud
to announce the second edition of this popular conference dedicated to ICT
solutions for e-Health, especially based on Cloud computing, Internet of
Things (IoT), and Computational Intelligence. The conference will bring
together researchers from academia, industry, government, and medical
centers in order to present the state of the art in the emerging area of
the use of cloud systems in connected health infrastructure and
applications, and the use of IoT and Computational Intelligence techniques
in the area of eHealth.
TOPICS:
-----------------------------------------------------------------------------------------------
- Cloud computing applications for eHealth
- Internet of Things (IoT) applications for eHealth
- Assistive Technology (AT).
- Informatization, Management and Organization of BME Environments
- Bioinformatics and Computational Biology and Medicine
- Communication, Networking and Monitoring in Bio-systems
- Monitoring of Vital Functions with Sensor and ICT Systems
- Biosensors and Sensor Networks
- Advanced Bio-signal Processing
- Distributed BME Applications
- Telehealth, Telecare, Telemonitoring, Telediagnostics
- e-Healthcare, m-Healthcare, x-Health
- Assisted Living
- Smartphones in BME Applications
- Social Networking, Computing and Education for Health
- Computer Aided Diagnostics
- Improved Therapeutic and Rehabilitation Methods
- Intelligent Bio-signal Interpretation
- Data and Visual Mining for Diagnostics
- Advanced Medical Visualization Techniques
- Personalized Medical Devices and Approaches
- Modelling and Computer Simulations in BME
- Human Responses in Extreme Environments
- Other Emerging Topics in BME
- E-Accessibility
- Web accessibility
- Hardware & Software personalized assistive technologies
- Assistive systems for users who are blind or visually impaired
- Cloud computing and AT
- Integration between home-based assistive technologies and patient health
data
- User-centered design of electronic assistive technologies
- Usability of assistive technologies
- Computer vision in AT
- User interfaces for home-based assistive technologies
- Use of prescription systems and assistive technologies
- Experience from real world assistive environment deployment
- Assistive Technologies for Urban Environments
- Healthcare modeling and simulation
- Knowledge discovery and decision support
- Biomedical data processing
- Wearable devices
- Sensor-based mHealth applications
IMPORTANT DATES:
-----------------------------------------------------------------------------------------------
• Submission deadline: APRIL 04, 2022 (EXTENDED)
• Notification of paper acceptance: APRIL 29, 2022 (EXTENDED)
• Submission of camera-ready papers: May 06, 2022
• Registration: May 06, 2022
PAPER SUBMISSION:
-----------------------------------------------------------------------------------------------
Manuscripts should describe original work and should be no more than 7
pages for full papers and 4 pages for short papers in the IEEE double
column proceedings format including tables, figures and references.
Download manuscript templates for IEEE conference proceedings from:
https://www.ieee.org/conferences_events/conferences/publishing/templates.ht…
Note that accepted papers up to 6 pages will be published with no
additional charge. Exceeding pages will be charged an additional fee.
Papers exceeding 7 pages will not be accepted.
In IEEE ICTS4eHealth 2022, as well as in IEEE ISCC 2022, all submissions
must be done through EDAS by using the link https://edas.info/N29419.
Accepted papers will be included in the IEEE ISCC 2022 Proceedings and will
be submitted for inclusion to IEEE Xplore. The ISCC Proceedings have been
indexed in the past by ISI, dblp and Scopus. This makes the ISCC conference
one of the publication venues with very high visibility and impact in both
Computer and Communications areas.
BEST PAPER AWARD:
-----------------------------------------------------------------------------------------------
A "Best Paper Award" Certificate will be conferred on the author(s) of a
paper presented at the workshop, selected by the Chairs based on scientific
significance, originality and outstanding technical quality of the paper,
as assessed also by the evaluations of the members of the Program Committee.
Please visit http://icts4ehealth.icar.cnr.it for more information and if
you have any questions kindly get back to us by sending an email
Kind regards,
IEEE ICTS4eHealth 2022 Organization
*Fully-funded PhD *on* responsible natural language processing and data
management for mental health *at the *University of Amsterdam*:
https://vacatures.uva.nl/UvA/job/PhD-Position-in-Responsible-Natural-Langua…
Great opportunity to design, build, and evaluate state-of-the-art neural
pipelines including cross-lingual / domain adaptation, and to look into
data integration (clinical / non-clinical), among other cool topics! This
position has a very unique setup where you will be also affiliated
with the Academic
Medical Center (AMC-UvA) <https://www.amc.nl/web/home.htm>, the Data
Science Center <https://dsc.uva.nl/>, and the data engineering lab (INDELab
<https://indelab.org/>).