================[Apologies for any cross-posting]================
**Special issue of the journal Traitement Automatique des Langues (TAL)
Abusive Language Detection : Linguistic Resources, Methods and
Applications **
**Guest Editors**
Farah Benamara (IRIT-Toulouse University, IPAL Singapore), Delphine
Battistelli (MoDyCo, Paris Nanterre University) and Viviana Patti (Turin
University)
**Motivations**
Abusive language - or, in another very common terminology, hate speech -
and the propagation of harmful stereotypes have unfortunately become
commonplace occurrences on various social media platforms, partly due to
users’ freedom and anonymity and the lack of regulation provided by
these platforms. The sheer volume and often implicit nature of such
unwanted content make manual moderation of these user spaces a
formidable task. Various scientific communities interested in its at
least partial automation have taken up the problem over the past ten
years. In particular, Computational Social Science, Natural Language
Processing and Computational Linguistics have proposed numerous works to
create resources, datasets, and models aimed at automating the task of
abusive language detection (henceforth ALD). In fact, we see that ALD
has become a research theme in its own right in the field of Natural
Language Processing with an abundant literature.
Abusive language (umbrella term to refer to the various forms of harmful
language, such as toxic, offensive language, hate speech, and
stereotypes) is topically focused and each specific manifestation of
abusive language targets different vulnerable groups based on
characteristics such as gender (misogyny, sexism), ethnicity, race,
religion (xenophobia, racism, Islamophobia), sexual orientation
(homophobia), and so on. Most automatic ALD approaches cast the problem
into a binary classification task but important considerations should be
taken into account, in particular: (1) the topical focus or the
target-oriented nature of hate speech ; (2) the degree of engagement of
users in abusive content (e.g., denunciation, approbation, reporting,
neutral attitude) ; (3) the question of stereotypes and dominant
ideologies ; (4) the question of linguistic strategies more particularly
linked or born with social networks (e.g., emoticons, hashtags).
Furthermore, most of the work (resources, classifiers) is developed for
English.
**Topics**
Motivated by the interest of the community in the problem of ALD, we
invite papers from Natural Language Processing, Machine Learning and
Computational Social Sciences. We explicitly encourage interdisciplinary
submissions (resources, computational methods, and user applications at
the interface of linguistics/psychology/socio-linguistics/sociology) but
also position papers on the actual state of the art in the field
discussing the limitations of the current approaches and directions for
future work. The topics covered by the special issue include, but are
not limited to:
-- Linguistic resources and evaluation: annotation schemes, corpus
linguistics studies, new datasets, with a particular interest in French
language and/or multilingual resources. In the case of strictly lexical
resources: methods for constituting them and coverage, semantic
categories retained.
-- Formal/Conceptual approaches for ALD as inspired by models in
sociology, socio-linguistics and psychology.
-- Models and Methods: supervised and unsupervised approaches, including
LLMs.
-- Role of contextual phenomena, including discourses, extra-linguistic
contexts (e.g., cultural aspects).
-- Models for cross-lingual and multimodal detection.
-- New approaches beyond binary classification: target-oriented ALD,
degrees of user engagement, etc.
-- Dynamics of online AL in social media, propaganda propagation.
-- Bias detection and removal in resource creation, datasets and methods.
-- Application of ALD tools in education, social media content
moderation, etc.
-- Social, legal, and ethical implications of detecting, monitoring and
moderating AL.
**Important dates**
May 31th, 2024: Submission deadline
July 15th, 2024: Notification of acceptance after first rereading
End of September 2024: Revised version
Mid October 2024: Final decision
End of November 2024: Camera ready
January 2025: Publication of the special issue
**Submission**
Submissions can either be in French or English and should follow the
journal templates: https://tal-65-3.sciencesconf.org/
**About the journal**
Traitement Automatiques des Langues Journal (TAL) is the international
French journal of Natural Language Processing
(https://www.atala.org/revuetal) published by ATALA (French Association
for Natural Language Processing, http://www.atala.org) since 1959 with
the support of CNRS (National Centre for Scientific Research). It is
indexed by ACL Anthology as well as DBLP. It is also supported by the
Institute of Human and Social Sciences of the CNRS.
**Contact**
For any question, please contact tal-65-3(a)sciencesconf.org
**External committee**
-- Cristina Bosco, University of Turin
-- Elena Cabrio, University of Côte d'Azur
-- Tommaso Caselli, Faculty of Arts, Rijksuniveristeit Groningen
-- Valentina Dragos, ONERA
-- Karën Fort, Sorbonne University
-- Claire Hugonnier, University of Grenoble Alpes
-- Irina Illina, University of Lorraine
-- Roy Ka-Wei Lee, Singapore University of Technology and Design
-- Véronique Moriceau, IRIT, University of Toulouse
-– Frédérique Segond, INRIA Paris
-- Mariona Taulé, University of Barcelona
-- Samuel Vernet, Aix-Marseille University
-- Mathieu Valette, Paris Sorbonne Nouvelle University
-- Marcos Zampieri, George Mason University
--
========================
Farah Benamara Zitoune
Professor in Computer Science, Université Paul Sabatier
IRIT-CNRS
118 Route de Narbonne, 31062, Toulouse.
Tel : +33 5 61 55 77 06
http://www.irit.fr/~Farah.Benamara
==================================
Call for papers:
12th International Conference and Workshops on Technology and Chinese
Language Teaching (TCLT12), June 22 to 23, 202, University of California,
Los Angeles.
Conference will be held online.
More information about the conference can be found from the conference
website.:
http://www.tclt.us/tclt12/cfp.php
Dear colleagues,
We are happy to announce that The Third Workshop on NLP Applications to Field Linguistics (Field Matters 2024) will take place at ACL 2024 [https://2024.aclweb.org/] in Bangkok, Thailand on August 16. Please find call for papers bellow:
=== The Third Workshop on NLP Applications to Field Linguistics ===
Field linguistics plays a crucial role in the development of linguistic theory and universal language modeling, as it provides uncontested, the only way to obtain structural data about the rapidly diminishing diversity of natural languages.
The Field matters workshop aims to bring together the urgent needs of field linguists and the vast community of NLP practitioners, developing up-to-date NLP tools for easier, faster, more reliable data collection and annotation.
This year we are adding a special track dedicated to the indigenous languages of Thailand and South-East Asia. We encourage you to submit theses on this topic, although general submissions are also welcomed.
We are particularly interested in the following topics:
- Application of NLP to field linguistics workflow;
- The impact, benefits and harms of NLP-assisted fieldwork;
- Transfer learning for under-resourced language processing;
- The use of fieldwork data to build NLP systems;
- Modeling morphology and syntax of typologically diverse languages in the low-resource setting;
- Speech processing for under-resourced languages;
- Machine-readable field linguistic datasets and computational analysis of field linguistics datasets;
- Using technology to preserve culture via language;
- Improving ways of interaction with Indigenous communities;
- Special track: Indigenous languages of Thailand and South-East Asia.
We accept three types of papers:
- non-archival submissions: abstracts (2-page) or papers (up to 8-page) that can present already published work or work in progress (note that we accept non-archival submissions even after the main deadline);
- short archival submissions: 4-page papers that present new work;
- long archival submissions: 8-page papers that present new work.
The special track submissions can be either long or short and either archival or non-archival.
We offer the following ways of presenting the papers:
- the main section;
- poster sections.
The way a paper will be presented will be determined during the review process.
All submissions should be anonymized. We are subjected to the ACL Anonymity Policy. ACL changed its policy for review and citation, and no anonymity period will be required.
Dual submissions with the main conference are allowed, but authors must declare dual submission by entering the paper’s main conference submission id. The reviews for the submission for the main conference will be automatically forwarded to the workshop and taken into consideration when your paper is evaluated. Authors of dual-submission papers accepted to the main conference should retract them from the workshop by.
Papers posted to preprint servers such as arxiv can be submitted without any restrictions on when they were posted.
The workshop will run its own review process, and papers can be submitted directly to the workshop via OpenReview (https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/Field_Matters).
The workshop will take place at ACL 2024 (https://2024.aclweb.org/). Both papers and abstracts must follow the ACL 2024 format (https://github.com/acl-org/acl-style-files). Please do not modify these style files.
Workshop webpage: https://field-matters.github.io/2024
Contact email: fieldmattersworkshop(a)gmail.com
Important dates:
- Paper submission deadline: May 17 (Friday), 2024
- Notification of acceptance: June 17 (Monday), 2024
- Camera-ready paper due: July 1 (Monday), 2024
- Workshop dates: August 15–16, 2024
Organizers
- Oleg Serikov (KAUST, HSE University)
- Elena Klyachko (HSE University)
- Francis Tyers (Indiana University)
- Ekaterina Vylomova (University of Melbourne)
- Éric Le Ferrand (Boston College)
- Saliha Muradoğlu (The Australian National University (ANU))
- Ekaterina Voloshina (Independent Researcher)
- Anna Postnikova (Independent Researcher)
---------------
Best regards,
Anna Postnikova
Field Matters organizing committee
Applications are invited for a Postdoctoral Researcher position within the
project “Polyglot Machines: Human-like Learning of Morphologically Rich
Languages”, financed by a NWO-VIDI Talent Grant and coordinated by
Principal Investigator (PI) dr. Arianna Bisazza. This is an
interdisciplinary project at the intersection of Computational
Linguistics/Natural Language Processing (NLP), Computational
Psycholinguistics and Language Acquisition.
Despite the impressive advances made possible by neural networks, current
NLP systems are still far from displaying the learning abilities of humans
in many languages. By contrast, children around the world acquire extremely
diverse languages in comparable time spans and from considerably less
linguistic input than that required by neural models.
This project aims to improve language modeling for low-resource
morphologically rich languages, taking inspiration from child language
acquisition insights. Among other methodologies, an artificial language
learning paradigm will be used to simulate the learning of typologically
diverse languages and evaluate the effect of known child-directed language
properties on the acquisition of morphology and other language aspects.
You will be carrying out your research in the context of the Computational
Linguistics group, which is part of the Centre for Language and Cognition
of the University of Groningen, The Netherlands.
An important part of your work will be conducted together with the PI and
the PhD student that will be hired for the same project. Collaboration is
also possible with other PhD students supervised by the PI, as well as
other members of CLCG.
Main requirement: A PhD degree in any area related to the tasks (such as
Computational Linguistics, Computational Psycholinguistics and Language
Acquisition).
Find more details and apply here by 15 February 2024:
https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…
Starting date: Negotiable. Ideally 1 September 2024. The appointment will
be for a specified period of 1 year, renewable for up to 2 more years (so
up to 3 years in total) following positive evaluation.
For questions about the position: A. Bisazza (do not use email for
applications)
a.bisazza(a)rug.nl
--
Arianna Bisazza
Associate Professor
University of Groningen
http://www.cs.rug.nl/~bisazza
*The 8th International Workshop on Cognitive Aspects of the Lexicon*
https://sites.google.com/view/cogalex-viii-2024
*Co-located with LREC-COLING 2024*
https://lrec-coling-2024.org/
Turin, Italy, 20-25 May 2024
* Important Dates*
Submission deadline: February 23, 2024
Date of notification: March 20, 2024
Camera ready deadline: March 29, 2024
CogALex workshop: May 20, 2024
*Meeting Description*
The way we look at the lexicon has changed dramatically over the last few
decades. While in the past being considered as an appendix to grammar, the
lexicon has now moved to the center stage. Indeed, there is hardly any task
in NLP that can be conducted without it. Also, many new proposals have
emerged during the last few years. Living in a fast-moving world, it is
hard for anyone to stay on top of the wave. Hence the reason for organizing
events like this.
The goal of this workshop is to provide builders and users of lexical
resources (researchers in NLP, psychologists, computational lexicographers)
a forum to share their knowledge and needs concerning the construction,
organization, and use of a lexicon by people (lexical access) and machines
(NLP, IR, data mining).
Like in the past, we invite researchers to address unsolved problems
concerning the lexicon, by considering this time however also Large
Language Models (LLMs). More precisely, we would like to explore their
potential for building and using lexical resources as well as their ability
to shed new light on the cognitive aspects of the lexicon.
We solicit contributions including, but not limited to, the topics listed
below, topics, which can be considered from any of the following points of
view:
- traditional-, computational- or corpus linguistics,
- neuro- or psycholinguistics (tip of the tongue problem, word
associations),
- mathematics (embedding-based approaches, graph theory, small-world
problems), etc.
*Submissions*
Possible submission topics are:
- The potential of Large Language Models for the creation and use of
lexical resources;
- Organization, i.e., structure of the lexicon;
- The meaning of words and how to reveal it;
- Analysis of the conceptual input given by a dictionary user;
- Methods for crafting dictionaries or indexes;
- Creation of new types of dictionaries;
- Dictionary access (navigation and search strategies), interface issues
Short papers can be up to 4 pages in length and long papers up to 8 pages.
Both submission formats can have an unlimited number of pages for
references. To create your document, please follow the guidelines defined
by COLING using their style sheets (
https://lrec-coling-2024.org/authors-kit/).
The submissions must be anonymous and they will be peer-reviewed by our
program committee. The peer review is double blinded.
Accepted papers will also be given an additional page to address the
reviewers’ comments. Notice that at least one of the authors of an accepted
paper must register for the main conference and present the paper.
*Submission Page*
https://softconf.com/lrec-coling2024/cogalex2024/
*Dual Submission Policy*
Papers may not be submitted to the workshop if they are or will be
concurrently submitted to another meeting or publication.
*Invited Speaker*
Prof. Gilles-Maurice de Schryver (Ghent University, Belgium)
https://tshwanedje.com/members/gmds/cv.html
*Workshop organizers*
- Michael Zock (CNRS, LIS, Aix-Marseille University, Marseille, France)
- Emmanuele Chersoni (Department of Chinese and Bilingual Studies, The Hong
Kong Polytechnic University, Hong Kong, China)
- Yu-Yin Hsu (Department of Chinese and Bilingual Studies, The Hong Kong
Polytechnic University, Hong Kong, China)
- Simon de Deyne (University of Melbourne / School of Psychological
Sciences, University of Adelaide)
[Apologies for multiple postings]
The Industry Day will take place on May 22, 2024, during the LREC-COLING
2024 conference week in Turin (Italy).
As a joint conference, LREC and COLING wish to continue to provide a
unique forum for researchers, industrials, and funding agencies from
across a wide spectrum of areas to discuss issues and opportunities,
find new synergies and promote initiatives for international
cooperation, in support to investigations in language sciences, progress
and innovation in language technologies and development of corresponding
products, services and applications, and standards.
LREC-COLING 2024 invites proposals for the Industry Day to be held in
conjunction with the Main Conference.
The objective of the Industrial Day is to devote time to industrial
achievements and perspectives with presentations by the industrials of
their applications and innovation in the field of AI, NLP, and Speech
processing. This dedicated Day/Track is also designed to bridge the gap
between academic research and real-world industry practices, including
evaluation methodologies, and understand better the challenges,
including ethics and data protection, and opportunities in the current
industrial landscape. Finally, this Day is also meant as a networking
platform for conference participants, experts, and professionals to
foster collaborations.
Topics of interest
* (Large) Language Modelling
* Integrated Systems and Applications
* Dialogue, Conversational Systems, Chatbots, Human-Robot Interaction
* Machine Learning Models and Techniques for Language Technologies
* Applications of Language technologies less-resourced languages or in
crisis and emergency time
* Importance of language resources and building blocks
* Policy issues, Ethics, Legal Issues, Bias Analysis
* Evaluation and Validation Methodologies
Proposal Format
Please submit the following information:
·Presentation of the company/Short biography
·Title and Brief abstract of talk (150-200 words)
·Motivation: ex) Start-up company, Standardization, General Technology,
Specific Technology associated with Products.
·Any specific requirements or considerations
Submission link:
https://docs.google.com/forms/d/1wJnERzsTqucjKVAqCXKNm-u_piaed24gSj4H_NfWwh…
Submission Deadline: February 29, 2024
Notification of acceptance: March 29, 2024
Contact: choukri(a)elda.org <mailto:choukri@elda.org>
LREC-COLING 2024: https://lrec-coling-2024.org/
*Apologies for Resharing*
Full Ad: https://dal.peopleadmin.ca/postings/14872
The Faculty of Computer Science at Dalhousie University (
https://www.cs.dal.ca) invites applications for up to three tenure-stream
Assistant Professor positions in any area of Computer Science.
We are seeking candidates whose research focuses on one of our five *research
clusters*
<https://www.dal.ca/faculty/computerscience/research-industry/fcs_research.h…>:
1) Big Data Analytics, Artificial Intelligence & Machine Learning, 2) Human
Computer Interaction, Visualization & Graphics, 3) Systems, 4) Algorithms &
Bioinformatics and 5) Computer Science Education. Research areas of
particular interest include but are not limited to: Computer Vision and
Signal Understanding, Qualitative and Design Research in HCI, Natural
Language Processing and Artificial Intelligence and Machine Learning.
*About Dalhousie University: *Dalhousie University is one of Canada’s U15
group of research-intensive universities. The funding situation is
excellent: active researchers have many opportunities for both
investigator-led operating grants and support for industry collaboration.
*Application Instructions: *Applications must include a cover letter,
curriculum vitae, statements of research and teaching interests, sample
publications, and the names and full contact information of three referees.
Applications are due by *February 15, 2024*. All application materials
should be submitted directly at *https://dal.peopleadmin.ca/postings/14872*
<https://dal.peopleadmin.ca/postings/14872>.
--
Regards;
Hassan Sajjad
2nd CFP: Third Workshop on Language Technologies for Historical and Ancient LAnguages (LT4HALA 2024)
Website: https://circse.github.io/LT4HALA/2024/
Submission page: https://softconf.com/lrec-coling2024/lt4hala2024/
Place: co-located with LREC-COLING 2024, Torino, Italy
Date: Saturday, May 25 2024
DESCRIPTION
LT4HALA 2024 is a one-day workshop that seeks to bring together scholars who are developing and/or are using Language Technologies (LTs) for historically attested languages, so to foster cross-fertilization between the Computational Linguistics community and the areas in the Humanities dealing with historical linguistic data, e.g. historians, philologists, linguists, archaeologists and literary scholars. LT4HALA 2024 follows LT4HALA 2020 and 2022 that was organized in the context of LREC 2022 and LREC 2022, respectively. Despite the current availability of large collections of digitized texts written in historical languages, such interdisciplinary collaboration is still hampered by the limited availability of annotated linguistic resources for most of the historical languages. Creating such resources is a challenge and an obligation for LTs, both to support historical linguistic research with the most updated technologies and to preserve those precious linguistic data that survived from past times.
Relevant topics for the workshop include, but are not limited to:
- handling spelling variation,
- detection and correction of OCR errors,
- creation and annotation of linguistic resources,
- deciphering,
- morphological/syntactic/semantic analysis of textual data,
- adaptation of tools to address diachronic/diatopic/diastratic variation in texts,
- teaching ancient languages with LTs,
- NLP-driven theoretical studies in historical linguistics,
- NLP-driven analysis of literary ancient texts,
- evaluation of LTs designed for historical and ancient languages,
- Large Language Models for the automatic analysis of ancient texts.
LT4HALA 2024 will host:
- the third edition of EvaLatin (https://circse.github.io/LT4HALA/2024/EvaLatin), an evaluation campaign entirely devoted to the evaluation of NLP tools for Latin, focusing on dependency parsing and emotion polarity detection;
- the third edition of EvaHan (https://circse.github.io/LT4HALA/2024/EvaHan), the evaluation campaign for the evaluation of NLP tools for Ancient Chinese, focusing on sentence segmentation and punctuation prediction.
SUBMISSIONS
Submissions of three forms of papers will be considered:
- Regular long papers – up to eight (8) pages maximum*, presenting substantial, original, completed, and unpublished work.
- Short papers – up to four (4) pages*, describing a small focused contribution, negative results, system demonstrations, etc.
- Position papers – up to eight (8) pages*, discussing key hot topics, challenges and open issues, as well as cross-fertilization between computational linguistics and other disciplines.
*Excluding any number of additional pages for references, ethical consideration, conflict-of-interest, as well as data, and code availability statements.
We encourage the authors of papers reporting experimental results to make their results reproducible and the entire process of analysis replicable, by making the data and the tools they used available. The form of the presentation may be oral or poster, whereas in the proceedings there is no difference between the accepted papers. The submission is anonymous. The LREC-COLING 2024 official format is requested. Each paper will be reviewed by three independent reviewers.
IMPORTANT DATES
Workshop
- 26 February 2024: submission due
- 18 March 2024: reviews due
- 22 March 2024: notifications to authors
- 5 April 2024: camera-ready (PDF) due
SHARED TASKS
EvaLatin
- 22 December 2023: guidelines available
- Evaluation Window I - Task: Dependency Parsing
- 1 February 2024: test data available
- 8 February 2024: system results due to organizers
- Evaluation Window II - Task: Emotion Polarity Detection
- 12 February 2024: test data available
- 19 February 2024: system results due to organizers
- 11 March 2024: reports due to organizers
- 22 March 2024: short report review deadline
- 5 April 2024: camera ready version of reports due to organizers
EvaHan
- 22 December 2023: training data available
- Evaluation Window
- 12 February 2024: test data available
- 19 February 2024: system results due to organizers
- 11 March 2024: reports due to organizers
- 22 March 2024: short report review deadline
- 5 April 2024: camera ready version of reports due to organizers
Identify, Describe and Share your LRs!
When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).
WORKSHOP ORGANIZERS
Marco Passarotti, Università Cattolica del Sacro Cuore di Milan, Italy
Rachele Sprugnoli, Università di Parma, Italy
PROGRAMME COMMITTEE
Adam Anderson, FactGrid Cuneiform Project, USA
Yannis Assael, Google DeepMind
Monica Berti, University of Leipzig, Germany
Luca Brigada Villa, Università di Bergamo, Italy
Flavio Massimiliano Cecchini, University of Leuven, Belgium
Margherita Fantoli, University of Leuven, Belgium
Shai Gordin, Ariel University, Israel
Federica Iurescia, Università Cattolica del Sacro Cuore di Milano, Italy
Bin Li, School of Chinese Language and Literature at Nanjing Normal University, P.R. China
Eleonora Litta, Università Cattolica del Sacro Cuore di Milano, Italy
Yudong Liu, Western Washington University
Barbara McGillivray, Turing Institute, UK
Beáta Megyesi, Uppsala University, Sweden
Chiara Palladino, Furman University, USA
John Pavlopoulos, Athens University of Economics and Business, Greece
Eva Pettersson, Uppsala University, Sweden
Sophie Prévost, Laboratoire Lattice, France
Thea Sommerschield, Ca’ Foscari University of Venice, Italy
James Tauber, Eldarion, USA
Toon Van Hal, Katholieke Universiteit Leuven, Belgium
Tariq Yousef, University of Southern Denmark, Denmark
CONTACT
rachele.sprugnoli[AT]unipr.it<http://unipr.it>
Please, write “LT4HALA” or “EvaLatin” in the subject of your e-mail.
For more information on EvaHan, please write to libin.njnu[AT]gmail.com<http://gmail.com> writing “EvaHan” in the subject of the e-mail.
Prof. Marco C. Passarotti
Computational Linguistics
Index Thomisticus Treebank https://itreebank.marginalia.it/
ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994)
CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html
[cid:38DBA4B0-3169-48DD-B59A-4F3A679F9DD9@lan] [cid:D415BF3A-E244-4BC4-9FB5-064066B300AD@lan] [cid:13BA173A-59CB-4F2D-9B90-DE302E870A50@lan]
Università Cattolica del Sacro Cuore
Largo Gemelli, 1
20123 Milan, Italy
marco.passarotti(a)unicatt.it<mailto:marco.passarotti@unicatt.it>
tel. +39-02-72342380
[http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>
Fully funded PhD and Master’s positions in Natural Language Processing and Machine Learning are available at the Text Analytics and Machine Learning Group (TAML), led by Dr. Xiaodan Zhu (www.xiaodanzhu.com), at the Department of Electrical and Computer Engineering at Queen’s University, Canada. The student will also be affiliated with the Ingenuity Labs Research Institute at Queen’s
University (https://ingenuitylabs.queensu.ca/).
Starting date: Sep. 1, 2024 or Jan. 1, 2025
Contact: xiaodan.zhu(a)queensu.ca
Webpage: www.xiaodanzhu.com
Application: https://smithengineering.queensu.ca/ece/graduate/index.html
Deadline for application: March. 31st, 2024 (We have started to review the applications
and it is highly recommended that you submit your applications at your earliest
convenience.)
Our students come from top universities across the globe and in Canada. Our graduates
work at top research and industrial organizations and companies in Canada and the U.S.
We aim to create a diverse and inclusive learning and research environment.
About Queen’s University:
Queen’s University (https://www.queensu.ca/) has over 180 years of history and is one of
Canada’s oldest universities. It is a public research university famous for many subjects
such as engineering, science, and business. As of 2023, five Nobel Laureates and one
Turing Award winners have been affiliated with the university.
Queen’s University’s campus is located by the Ontario Lake and is one of the most
beautiful campuses in Canada. Queen’s University is located in Kingston, a tourist
hotspot, and is situated between several big cities in Canada: Toronto, Montreal, and
Ottawa, which are centers for artificial intelligence research and dynamic cities to live
and visit.
*** Ph.D. Award: Last Call for Applications ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: 1st March, 2024 AoE ***)
The deadline to apply for the CAiSE 2024 PhD Award is March 1st 2024. The conditions to
apply are:
• having participated as an author in a previous CAiSE Doctoral Consortium or at a main
CAiSE Event: either the main conference, the CAiSE Forum, EMMSAD, or BPMDS;
• having successfully defended the PhD thesis in the last two years (i.e., since January 2022).
The application must be submitted electronically to the PhD Awards track of CAiSE 2024 via
EasyChair <https://easychair.org/conferences/?conf=caise2024> . The application must be
a single PDF file containing:
• a short cover letter that includes the list of PhD committee members,
• a support letter from the thesis advisor,
• the candidate's defended PhD thesis,
• the candidate’s CV.
ABOUT THE PHD AWARD
The CAiSE PhD Award 2024 is granted annually to an outstanding recent PhD thesis in the
field of Information Systems Engineering.
The award is co-sponsored by the CAiSE Steering Committee and Springer. It consists of a
certificate, free full registration (5 days) to the next two editions of the CAiSE conference,
and a book voucher for a free selection worth EUR 500 from Springer’s printed books
collection. In addition, the selected thesis will be recommended for publication as a
monograph in the LNBIP series published by Springer, provided that Springer’s publication
conditions are met.
The PhD theses submitted for the award will be reviewed by a standing committee of senior
members selected from the CAiSE Advisory Committee, the CAiSE Steering Committee, and
the CAiSE Program Committee.
AWARD CHAIR
Professor Andreas L Opdahl, University of Bergen, Norway
IMPORTANT DATES
• Submission of application: 1st March, 2024 (AoE)
• Notification: 15th April, 2024
PAST RECIPIENTS
• 2023: Anna Bernasconi, PhD from Politecninco Milano (Italy), thesis title “Model, Integrate,
Search... Repeat: a Sound Approach to Building Integrated Repositories of Genomic Data” (link to the forthcoming monograph: https://link.springer.com/book/9783031449062)
• 2022: Volodymyr Leno, PhD from University of Melbourne (Australia), thesis title
“Robotic Process Mining: Accelerating the adoption of Robotic Process Automation” (link to the thesis: https://minerva-access.unimelb.edu.au/bitstream/handle/
11343/297274/98f9efca-4dd2-eb11-94dc-0050568d0279_manuscript.pdf)
• 2021: Orlenys Lopez Pintado, PhD from University of Tartu (Estonia), thesis title
“Collaborative Business Process Execution on the Block Chain: the Caterpillar System” (link to the thesis: https://dspace.ut.ee/items/1e09072c-5442-463a-b8c6-0425951cb90b)
• 2020: Steven Mertens, PhD from Ghent University (Belgium), thesis title “Enabling process
management for loosely framed knowledge-intensive processes” (link to the published monograph: https://www.springer.com/gp/book/9783030661922)
• 2019: Giovanni Meroni, PhD from Politecnico di Milano (Italy), thesis title “Artifact-driven
business process monitoring” (link to the published monograph: https://www.springer.com/gp/book/9783030324117)
• 2018: Wei Wang, PhD from University of Queensland (Australia) thesis title “Integrated
Modeling of Business Processes and Business Rules” (link to the published monograph: https://www.springer.com/gp/book/9783030118082)
• 2017: Marcela Ruiz, PhD from the Universidad Politécnica de Valencia (Spain), thesis title
“TraceME: A Traceability-Based Method for Conceptual Model Evolution” (link to the published monograph: https://www.springer.com/gp/book/9783319897158)
• 2016: Le Minh Sang Tran, PhD from University of Trento (Italy), thesis title “Managing the
Uncertainty of the Evolution of Requirements Models” (testimony of the 2016 CAiSE PhD Award winner: https://www.youtube.com/watch?v=q-vvlH66lC4)