Dear mailing list members,
We are pleased to announce the Call for Papers for the Queer in AI
Workshop, which will be held as an official workshop at NAACL 2025 in New
Mexico, USA (April 29-May 4, 2025).
Over the years, Queer in AI has grown so much that it has spawned its own
research subfield. This called for us to convert our workshop into an
official workshop at NAACL 2025, which means your work can now be published
in the ACL Anthology.
The workshop will be held in a hybrid format, allowing both in-person and
virtual participation.
WORKSHOP OVERVIEW
The workshop aims to bring together researchers and practitioners working
at the intersection of linguistics, queerness, and natural language
processing. We provide a safe and inclusive space for presenting work,
networking, and discussing critical issues in the field.
TRACKS AND SUBMISSIONS
We welcome submissions in three tracks:
- Queer linguistics - Exploring language around gender and sexuality,
including applications of queer theory to language research.
- Queerness and NLP - Examining the intersection of NLP and queerness,
from analyzing queer language patterns to investigating potential biases in
NLP systems.
- Queer activism and D&I - Addressing inclusivity challenges in NLP
events and sharing strategies for queer advocacy in tech and academia.
SUBMISSION OPTIONS:
We provide two submission options: archival (if you want your papers
published) and non-archival (if you just want to share or present your
work).
*Archival track*: Papers should be 4 pages (short) or 8 pages (long) in ACL
format, with unlimited pages for references. All papers must use the
official ACL style templates. Accepted papers will be published in the ACL
Anthology.
*Non-archival track*: In this track, you can submit creative work in the
form of art, poetry, music, microblogs, TikToks, or videos; or you can
submit your work-in-progress papers or abstracts. For this submit a PDF
containing a summary/abstract of your work and a link to the actual
content. Submissions in any language are welcome.
IMPORTANT DATES:
Archival submission deadline: January 30, 2025
Non-archival submission / Findings / ARR commitment deadline: February 20,
2025
Notification of acceptance: March 1, 2025
Camera-ready due: March 10, 2025
Mentorship is available for first-time authors. For more information or
assistance, please contact: queer-in-nlp(a)googlegroups.com
Website: https://www.queerinai.com/naacl-2025
Best regards,
Queer in AI Workshop Organizers
We are pleased to announce the ICDAR 2025 Competition on Automatic
Classification of Literary Epochs (CoLiE) <https://colie.pro/>, which aims
to push the boundaries of temporal text analysis by challenging
participants to develop state-of-the-art methods for dating literary texts.
The competition focuses on leveraging natural language processing (NLP) and
information retrieval (IR) techniques to predict the time periods in which
texts were written.Overview
The CoLiE competition offers two main tasks to address temporal
classification and the understanding of historical texts:
Task 1: Literary Epochs Classification
<https://www.kaggle.com/competitions/icdar-2025-ColiE_Task1>This task
focuses on classifying texts based on literary epochs and their
subdivisions:
-
Sub-task 1.1:
Classification of texts into six major literary epochs when the
corresponding books were written: (1) Classicism (1660-1798), (2)
Romanticism (1798-1837), (3) Victorian Literature (1837-1901), (4)
Modernism (1900-1945), (5) Postmodernism (1945-2000), and (6) Contemporary
(from 2000).
-
Sub-task 1.2:
Classification of texts into particular epoch subdivisions: early (first
quarter of the epoch), middle (middle half), and late (final quarter).
These periods differ in length between epochs (due to the different lengths
of the corresponding epochs). Also, the epochs of Classicism, Romanticism,
Victorian Literature, Modernism, and Postmodernism epochs were divided into
three periods, while the Contemporary epoch is divided into only two
periods.
Task 2: ChronoText Classification
<https://www.kaggle.com/competitions/icdar-2025-ColiE_Task2>This task
addresses temporal granularity by focusing on:
-
Sub-task 2.1: Identifying the century of origin for a given text.
-
Sub-task 2.2: Pinpointing the specific decade within that century when
the text was composed.
Participation
We invite researchers, practitioners, and enthusiasts from IR and NLP
communities to participate in this exciting competition.
Important Dates:
-
December 17, 2024: The competition website is live and open to
participants. Training and validation sets, together with their labels, are
available.
-
April 1, 2025: Test dataset available.
-
April 8, 2025: Deadline for competition participants.
-
May 1, 2025: Submission of competition reports.
-
May 16, 2025: Camera-ready paper.
-
June 30, 2025: Communicate winners to chairs.
-
September 17-21, 2025: Presentation of results at the special session at
the ICDAR conference.
How to Participate:
-
Visit our website: <https://www.icdar2025.com/>https://colie.pro/
-
Familiarize yourself with the tasks, competition rules, datasets, and
evaluation metrics.
-
Submit your results through the Kaggle competition platform.
Contact
For any inquiries, please contact the competition organizers at
colie2025.competition(a)gmail.com.
We look forward to your participation and innovative contributions to the
field of temporal text analysis!
Organizers:
Marina Litvak, SCE (marinal(a)ac.sce.ac.il)
Irina Rabaev, SCE (irinar(a)ac.sce.ac.il)
Ricardo Campos, University of Beira Interior, INESC TEC (
ricardo.campos(a)ubi.pt)
Alípio Jorge, University of Porto, INESC TEC (amjorge(a)fc.up.pt)
Adam Jatowt, University of Innsbruck (adam.jatowt(a)uibk.ac.at)
Roza Bass, SCE (rozzaba(a)ac.sce.ac.il)
Hugo Sousa, University of Porto, INESC TEC (hugo.sousa(a)fc.up.pt)
2nd International Workshop on Natural Scientific Language Processing and
Research Knowledge Graphs (NSLP 2025)
01 or 02 June 2025 (tbc)
Portoroz, Slovenia
(NSLP 2025 is co-located with ESWC 2025)
https://nfdi4ds.github.io/nslp2025/
Scientific research is almost exclusively published in unstructured text
formats, which are not readily machine-readable. While technological
approaches can help to get this flood of scientific information and new
knowledge under control, the development of such technologies is very
complex in practice and hinders the creation of infrastructures and systems
to track research and assist the scientific community with applications
such as dedicated scientific search engines and recommender systems. The
2nd International Workshop on Natural Scientific Language Processing and
Research Knowledge Graphs (NSLP) aims to bring together researchers working
on the processing, analysis, transformation and exploitation of scientific
language and research knowledge graphs including all relevant sub-topics.
NSLP 2025 is a full-day workshop co-located with ESWC 2025
<https://2025.eswc-conferences.org/> to be held in Portoroz, Slovenia on 01
or 02 June 2025 (to be confirmed). The workshop features two shared tasks
(see below) and a keynote speaker as well as presentations and posters of
accepted papers.
Topics of interest include, but are not limited to
-
Research/Scientific Knowledge Graphs (RKGs/SKGs) and other forms of
structured scientific knowledge representation
-
Information Extraction for RKGs/SKGs
-
Question Answering over RKGs/SKGs
-
Other types of usage of RKGs/SKGs for downstream applications
-
Scientific LLMs: LLMs for Natural Scientific Language Processing (NSLP)
-
NSLP (monolingual, cross-lingual, multilingual)
-
Language Resources and Language Technologies for NSLP
-
Domain-specific Adaptation of NSLP Methods
-
Information Extraction from Scholarly Publications
-
Classification of Scholarly Publications (document collections,
individual documents, parts of documents)
-
Summarisation of Scholarly Publications
-
Scholarly Information Retrieval and Scientific Search Engines
-
Digital Libraries of Scholarly Information
-
Bibliometrics and Scientometrics
-
Micropublications and Nanopublications
Important dates
-
Paper submission deadline: 06 March 2025
-
Notification of acceptance: 03 April 2025
-
Camera-ready submission: 17 April 2025
-
Workshop: 01 or 02 June 2025 (tbc)
Submissions
The NSLP 2025 workshop invites submissions of regular long papers, position
papers, and short papers presenting negative results, in-progress projects,
and demos. We especially encourage submissions from junior researchers and
students from diverse backgrounds.
-
The workshop invites anonymous submissions of regular long papers (up to
15 pages without references and appendix) and short papers (up to 8
pages without references and appendix) presenting negative results,
in-progress projects, and demos. In both categories, position papers can be
submitted as well.
-
Authors are permitted to include an optional appendix of up to 2 pages.
However, reviewers will not be mandated to review the appendix; all papers
must be self-contained.
-
Reviewing will be performed double-blind. Reviewers will not actively
try to identify the authors.
-
Submissions must be in PDF, formatted in the style of the Springer
Publications format for Lecture Notes in Computer Science (LNCS).
-
The proceedings of this workshop will be published as an Open Access
volume in the Springer series Lecture Notes in Artificial Intelligence
(LNAI), fully sponsored by the NFDI4DS project.
-
At least one author per contribution must register for the conference
for presentation as ESWC 2025 (including all workshops) is an in-person
event.
-
We will not accept work that is under review or has already been
published in or accepted for publication in a journal, another conference,
or another workshop.
-
All submissions are done via EasyChair:
https://easychair.org/conferences?conf=nslp2025
Shared tasks
NSLP 2025 offers two shared tasks:
-
MESD: Metadata Extraction from Scholarly Documents
-
ReadMe2KG: Github ReadMe to Knowledge
The NSLP 2025 website <https://nfdi4ds.github.io/nslp2025/> provides more
information on the shared tasks. The relevant important dates for the two
shared tasks will be announced in early January 2025.
Confirmed keynote speaker
-
Michele Pasin, Digital Science, UK
Organisers
-
Georg Rehm, DFKI & HU Berlin, Germany
-
Sonja Schimmler, TU Berlin & Fraunhofer FOKUS, Germany
-
Stefan Dietze, GESIS & HHU Düsseldorf, Germany
-
Natalia Manola, OpenAIRE, Greece
Contact
Georg Rehm <georg.rehm(a)dfki.de>
--
*Prof. Dr. Georg Rehm <http://georg-re.hm/>*
Principal Researcher and Research Fellow, DFKI
Adjunct Professor, Humboldt-Universität zu Berlin
DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
Phone: +49 30 23895-1833 – Fax: -1810
georg.rehm(a)dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer
Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan
Amtsgericht Kaiserslautern, HRB 2313
Funding for MA degrees in the language sciences is available at Université Paris Cité, through the Paris Graduate School of Linguistics.
The Paris Graduate School of Linguistics (PGSL) is a Paris-area graduate program covering all areas of language science.
It offers several comprehensive Master curricula integrating advanced study and research, in close connection with PhD programs as well as with the Empirical Foundations of Linguistics<http://www.labex-efl.com/> consortium.
Research plays a central part in the program, and students also take elective courses to develop an interdisciplinary outlook. Prior knowledge of French is not required.
For more details, please see https://paris-gsl.org/index.html
Funding application opportunity: https://mobility.smarts-up.fr/
Deadline for grant applications : January 17th 2025 (Program start date: September 1st 2025)
Note that funding is only available for non-French citizens and for students who do not hold a French university degree. Citizens of some countries (those requiring visas for study in France) must additionally and simultaneously apply to Campus France, as explained on the application portal.
Agnès Celle
Professeure de linguistique
Directrice adjointe de CLILLAC-ARP UR 3967
Responsable du master de Linguistique anglaise
UFR d'Etudes anglophones
8 place Paul Ricoeur, 75013 Paris
Olympe de Gouges 753
+33(0)1 57 27 58 67
[Mail_LogoUPC154x50]
5th Workshop on Scholarly Document Processing (SDP 2025) @ ACL 2025
Call for Papers
Dear colleagues – you are invited to participate in the 5th Workshop on Scholarly Document Processing (SDP 2025) to be held at ACL 2025 in Vienna, Austria. SDP 2025 will consist of a research track and five shared tasks. The call for research papers is described below, and more details can be found on our website, https://sdproc.org/2025/ <https://sdproc.org/2025/>.
Papers must follow the ACL format and conform to the ACL 2025 Submission Guidelines. Paper submission has to be done through OpenReview: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>
Website: https://sdproc.org/2025/ <https://sdproc.org/2025/>
Submission site: https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>
X (Twitter): https://twitter.com/sdpworkshop <https://twitter.com/sdpworkshop>
Shared tasks: https://sdproc.org/2025/sharedtasks.html <https://sdproc.org/2025/sharedtasks.html>
Paper submission deadline: March 1 (Saturday), 2025
Call for Research Papers
Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata and experimental data. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals.
This workshop builds on the success of prior workshops: SDP workshops held at EMNLP 2020, NAACL 2021, COLING 2022, and ACL 2024, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL.
Topics of Interest
We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to):
Large Language Models (LLMs) for science
Representation learning and language modeling
Information extraction and NER
Document understanding
Summarization and generation
Question-answering
Discourse modeling/argumentation mining
Network analysis
Bibliometrics, scientometrics, and altmetrics
Reproducibility and research integrity, including new challenges posed by generative AI
Peer review tools, principles and technology
Metadata and indexing
Inclusion of datasets and computational resources
Research infrastructures and digital libraries
Increasing the representation in scholarly work of disadvantaged populations
LLM-based interfaces to consume/produce scholarly documents
Impact of scholarly communication on popular discourse
Submission Information
Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here:https://aclanthology.org/venues/sdp/ <https://aclanthology.org/venues/sdp/>), which will be published in the ACL Anthology.
The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2025 formatting requirements:
Long paper submissions: up to 8 pages of content, plus unlimited references.
Short paper submissions: up to 4 pages of content, plus unlimited references.
Submission Website: Paper submission has to be done through openreview:
https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc <https://openreview.net/group?id=aclweb.org/ACL/2025/Workshop/SDProc>
Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account.
Important Dates (Main Research Track)
First call for workshop papers: December 19, 2024
Second call for workshop papers: January 24, 2025
Third call for workshop papers: February 24, 2025
Paper submission deadline: March 1, 2025
Pre-reviewed (ARR) submission deadline: March 25, 2025
Notification of acceptance: April 17, 2025
Camera-ready paper due: May 16, 2025
Workshop dates: July 31 – August 1, 2025
Note: Shared task submission deadlines and other important dates to be announced.
SDP 2024 Keynote Speakers
We are excited to have several keynote speakers at SDP 2025.
Tom Hope <https://tomhoper.github.io/>, Assistant Professor at Hebrew University of Jerusalem and Research Scientist at Allen Institute for AI.
James A. Evans <https://sociology.uchicago.edu/directory/James-A-Evans>, Professor and Director of the Knowledge Lab at University of Chicago and External Professor at the Santa Fe Institute.
TBA
SDP 2025 Shared Tasks
SDP 2025 will host five exciting shared tasks. More information about all shared tasks is provided on the workshop website:https://sdproc.org/2025/sharedtasks.html <https://sdproc.org/2025/sharedtasks.html>
Detecting automatically generated scientific papers (DAGPap 25)
A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains.
Organizers: Savvas Chamezopoulos, Dan Li, Anita de Waard (Elsevier).
Contextualizing Scientific Figures and Tables (Context 25)
Interpreting scientific claims in the context of empirical findings is a valuable practice, yet extremely time-consuming for researchers. Such interpretation requires identifying key results (often captured in tables and figures) that provide supporting evidence from research papers, and contextualizing these results with associated methodological details (e.g., measures, sample, etc.). During the previous version of this shared task in 2024, we released datasets to support the development of methods for automatic identification of key result figures or tables as well as additional grounding context to make claim interpretation more efficient. However, the released datasets contained tables and images already extracted from the scientific papers to allow participants to bypass PDF pre-processing issues. In Context 2025, given recent advances in multimodal LLMs, we plan to extend the difficulty of this task by requiring participants to identify key results from paper PDFs directly, and add a new sub-task on multi-hop reasoning over scientific evidence.
Organizers: Joel Chan, Matthew Akamatsu, Aakanksha Naik
Scientific Visual Question Answering (SciVQA)
Scholarly articles convey valuable information not only through unstructured text but also via (semi-)structured figures such as charts and diagrams. Automatically interpreting the semantics of knowledge encoded in these figures can be beneficial for downstream tasks such as question answering (QA). In the SciVQA challenge, the participants will develop multimodal systems capable of efficiently processing both visual (i.e., addressing attributes such as colour, shape, size, etc.) and non-visual QA pairs based on images of scientific figures and their captions.
Organizers: Ekaterina Borisova, Georg Rehm
Scientific Fact-checking of Social Media Posts on Climate Change (ClimateCheck)
The ClimateCheck shared task focuses on fact-checking claims from social media about climate change against peer-reviewed scholarly articles. Participants will retrieve relevant publications from a corpus of 400,000 climate research articles and classify each abstract as supporting, refuting, or not having enough information about the claim. Training data will include human-annotated claim-publication pairs, and the evaluation will combine nDCG@K and Bpref for retrieval and F1 score for classification. The task aims to develop models that link social media claims to scientific evidence, promoting informed and evidence-based discussions on climate change.
Organizers: Raia Abu Ahmad, Georg Rehm
Software Mention Detection in Scholarly Publications (SOMD 2)
Software plays an essential role in computational research methods and is considered one of the crucial entities in scholarly documents. However, software mentions are not always cited in academic documents, resulting in various informal mentions of software across a paper. Automatic identification of such software mention contributes to the better understanding, accessibility, and reproducibility of the research work. In addition to the mention of software, to understand the research context, it is necessary to understand the purpose of a software mention and its attributes, making software mention detection a comprehensive task.
We are extending our first iteration of the shared task SOMD 2024 <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> with new challenges. In addition to information extraction techniques, our extended focus would be on Joint Named Entity and Relation Classification techniques.
Organizers: Sharmila Upadhyaya, Frank Krueger, Stefan Dietze
Organizing Committee
Tirthankar Ghosal, Oak Ridge National Laboratory, USA
Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany
Aakanksha Naik, Allen Institute for AI, USA
Amanpreet Singh, Allen Institute for AI, USA
Anita de Waard, Elsevier, Netherlands
Dayne Freitag, SRI International, USA
Georg Rehm, German Research Center for Artificial Intelligence (DFKI), Germany
Sonja Schimmler, Fraunhofer FOKUS, Germany
Dan Li, Elsevier, Netherlands
--
<https://www.dfki.de/>
Prof. Dr. Georg Rehm <http://georg-re.hm/>
Principal Researcher and Research Fellow, DFKI
Adjunct Professor, Humboldt-Universität zu Berlin
DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
Phone: +49 30 23895-1833 – Fax: -1810
georg.rehm(a)dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer
Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan
Amtsgericht Kaiserslautern, HRB 2313
Dear list members,
We invite you to participate in our web survey exploring how recent advancements in NLP, such as LLMs, have changed the need for labeled data in Supervised Machine Learning.
Survey details:
* Topic: Web survey on Data Annotation and Active Learning
* Target group: Researchers and practitioners alike in the fields of NLP, Supervised Machine Learning, and Active Learning in particular (not required).
* Duration: ~15 minutes
* Deadline for participation: January 12, 2025
* Survey link: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271
Why should I invest my time in this survey?
* Make an impact: Participate in a community-effort and help to gain a better understanding of the current state and open issues on methods that are used to overcome a lack of labeled data.
* Gain insights: Receive a report with key findings to incorporate these insights into research and development of new methods and technologies.
Thank you for considering participating in our survey!
If you have any questions or require additional information, please don't hesitate to contact us directly at activelearningsurvey2024(a)gmail.com<mailto:activeLearningSurvey2024@gmail.com>.
If you know colleagues or peers who might be interested, we'd be grateful if you could forward this survey to them as well.
Best regards,
Julia Romberg (GESIS - Leibniz Institute for the Social Sciences, Germany)
Christopher Schröder (Institut für Angewandte Informatik e. V., Germany)
Julius Gonsior (TUD Dresden University of Technology)
------------------------------------------------------------------------
[gesis-logo-new-50-50]
Leibniz Institute for the Social Sciences
Julia Romberg
Computational Social Science, Team Data Science Methods
+49(221)47694-742
Dear all,
I would like to draw your attention to BICEPS Marie Curie Sklodowska doctoral program, where we have 16 PhD positions across the following institutions across Europe:
German Center for Neurodegenerative Diseases (DZNE)
Bayer
metaSysX GmbH
University of Groningen
Aarhus University
University of Athens
University of Belgrade
Anacalypsis Therapeutics
Sulfateq B.V.
H. Lundbeck A/S
University of Oxford
Suleyman Demirel University
Semical Biosurgery
Several positions are focusing on bioinformatics and there are few also dealing with text. (e.g. Bayer one).
You can find positions here: https://euraxess.ec.europa.eu/jobs/search?f%5B0%5D=offer_type%3Ajob_offer&f…
Beyond neuroInflammation: new Concepts to Elucidate the peripheral immune system's vital role in Parkinson's disease
Decades of research into Parkinson's disease (PD) have fallen short in fully comprehending its mechanisms, leaving us without a cure. Current treatments merely alleviate symptoms temporarily, but are unable to impede the progression of the disease. Clearly, PD research has hit a wall, and new approaches are needed.
Recent discoveries of the involvement of the peripheral immune system in PD have sparked a groundbreaking proposition by BICEPS: PD must be considered a systemic disease with an immune response involving both brain and periphery. Thus, to revolutionize PD research, we must shift away from the neuro-centric approach of past decades and extend our focus to studying the immune system outside the brain. Furthermore, recent advancements, such as systems biology and artificial intelligence (AI)-driven data mining, diagnosis, and drug development, hold significant promise for advancing PD research. Therefore, BICEPS is uniting PD researchers, immunologists, and experts in AI and systems biology from leading European academic institutions, startup companies, and established pharmaceutical firms into a unique consortium. The primary objective is to train a new generation of PD researchers with interdisciplinary expertise in these fields.
This ambitious goal will be realized through an intensive training program that encompasses cutting-edge methodologies, encourages innovation, nurtures transferable skills, and provides immersive, hands-on research experiences. Thereby, the BICEPS network aims to shape the future of PD research by adopting a fresh perspective and expediting the development of diagnostics and therapies for PD, with a particular focus on the immune system.
Position in Bayer you can find here: https://euraxess.ec.europa.eu/jobs/286014
AI-driven data analysis, target identification and treatment development in PD
The project will be implemented at Bayer A.G. , under the supervision of Nikola Milošević.
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, leading to motor symptoms such as tremors, rigidity, and bradykinesia. Recent research has highlighted the complex interplay between the nervous and immune systems in PD pathogenesis, emphasizing the need for integrated approaches to study neuro-immune interactions. This project aims to research best practices for, and develop novel collaborative no-code analytical platform specifically designed to explore and analyze neuro-immune interfaces in the context of PD and other neurodegenerative diseases.
The research will first focus on full integration and making easily accessible evidence from both user-provided data and publicly available biomedical databases and literature sources, adhering to FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This will be followed by the representation of data in a knowledge graph, enabling sophisticated reasoning and hypothesis generation. Finally, the project will establish explainable AI-powered analytics, reasoning, hypothesis generation, and ranking pipelines about targets, pathways, and potential treatments.
The platform will incorporate various data types, including genetic, biochemical, and clinical information, to provide a comprehensive view of the neuro-immune landscape in PD. By leveraging advanced machine learning techniques and natural language processing, the system will be able to analyze and integrate results from multiple experimental studies, literature sources, and other relevant data repositories. This multidisciplinary approach combines techniques from computer science, bioinformatics, and neuroscience to create a powerful tool for PD research.
Expected outcomes of this project include determining the precise best practices for multi-layered analysis of targets involved in neurodegenerative diseases and developing a system that can help scientists collaborate, review, analyze, and integrate results from diverse sources.
Ultimately, this work could lead to the identification of novel therapeutic targets and potential treatments for PD by facilitating a deeper understanding of the complex neuro-immune interactions underlying the disease. The collaborative nature of the platform will foster interdisciplinary research and accelerate the pace of discovery in the field of neurodegenerative diseases.
Freundliche Grüße / Best regards,
Dr. Nikola Milosevic
Senior Computational Scientist | Bayer Science Fellow
////////////////////////
Bayer AG
Research & Development, Pharmaceuticals
R&D Data Sciences and AI, Scientific Insights Solutions
Building S105, 342
13342 Berlin, Germany
Tel: +49 30 46817948
Mobile: +49 174 2169881
E-mail: nikola.milosevic(a)bayer.com<mailto:nikola.milosevic@bayer.com>
Web: http://www.bayer.com
Datenschutzhinweise<https://www.bayer.de/de/datenschutzhinweise-fuer-ausgewaehlte-verarbeitungs…> // Data privacy information<https://www.bayer.com/en/data-privacy-information-for-specific-processing-a…>
/// Board of Management: Bill Anderson, Chairman | Wolfgang Nickl, Stefan Oelrich, Heike Prinz, Rodrigo Santos, Julio Triana
/// Chairman of the Supervisory Board: Norbert Winkeljohann
/// Registered office: Leverkusen | Amtsgericht Köln, HRB 48248
1st CALL FOR PAPERS
Third International Workshop on Gender-Inclusive Translation Technologies (GITT) at MT Summit 2025
23 June 2025, Geneva, Switzerland
https://sites.google.com/tilburguniversity.edu/gitt2025
@gitt-workshop.bsky.social
**Important Dates (Time zone: Anywhere on Earth)**
Submission deadline: 10 March, 2025
Notification of Acceptance: 4 April, 2025
Camera Ready Copy due: 11 April, 2025
Workshop: 23 June, 2025
**Aim and scope**
The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the dedicated workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools, including LMs applications for the translation task.
**Topics**
GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to:
- Models or methods for assessing and mitigating gender bias
- New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries)
- Social, cross-lingual, and ethical implications of gender bias
- Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines
- User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users
GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation)
**Submission**
We welcome four types of submissions, two archival and two non-archival.
--ARCHIVAL--
- Research papers: of at least 4 up to 10 pages (excluding references)
-- Extended Abstracts: up to 2 pages (including references)
Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology.
--NON-ARCHIVAL--
- Research Communications: up to 2 pages (including references).
We include a parallel submission policy in the form of Research Communications for papers related to the topic of GITT that were accepted in other venues in 2024 and 2025.
- Potluck Communications: short abstract up to 500 words (including references).
Potluck Communications offer a space for anyone—especially students and early career researchers—to discuss bold new ideas for collaboration, brainstorm about ongoing work, and explore future research directions.
The communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop.
All submissions should adhere to the MT Summit 2025 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on Easychair.
**Workshop organizers**
Janiça Hackenbuchner, University of Ghent
Luisa Bentivogli, Fondazione Bruno Kessler
Joke Daems, University of Ghent
Chiara Manna, University of Tilburg
Beatrice Savoldi, Fondazione Bruno Kessler
Eva Vanmassenhove, University of Tilburg
Dear all,
I would like to draw your attention to BICEPS Marie Curie Sklodowska
doctoral program, where we have 16 PhD positions across the following
institutions across Europe:
German Center for Neurodegenerative Diseases (DZNE)
Bayer
metaSysX GmbH
University of Groningen
Aarhus University
University of Athens
University of Belgrade
Anacalypsis Therapeutics
Sulfateq B.V.
H. Lundbeck A/S
University of Oxford
Suleyman Demirel University
Semical Biosurgery
Several positions are focusing on bioinformatics and there are few also
dealing with text. (e.g. Bayer one).
You can find positions here:
https://euraxess.ec.europa.eu/jobs/search?f%5B0%5D=offer_type%3Ajob_offer&f…
*Beyond neuroInflammation: new Concepts to Elucidate the peripheral immune
system's vital role in Parkinson's disease*
Decades of research into Parkinson's disease (PD) have fallen short in
fully comprehending its mechanisms, leaving us without a cure. Current
treatments merely alleviate symptoms temporarily, but are unable to impede
the progression of the disease. Clearly, PD research has hit a wall, and
new approaches are needed.
Recent discoveries of the involvement of the peripheral immune system in PD
have sparked a groundbreaking proposition by BICEPS: PD must be considered
a systemic disease with an immune response involving both brain and
periphery. Thus, to revolutionize PD research, we must shift away from the
neuro-centric approach of past decades and extend our focus to studying the
immune system outside the brain. Furthermore, recent advancements, such as
systems biology and artificial intelligence (AI)-driven data mining,
diagnosis, and drug development, hold significant promise for advancing PD
research. Therefore, BICEPS is uniting PD researchers, immunologists, and
experts in AI and systems biology from leading European academic
institutions, startup companies, and established pharmaceutical firms into
a unique consortium. The primary objective is to train a new generation of
PD researchers with interdisciplinary expertise in these fields.
This ambitious goal will be realized through an intensive training program
that encompasses cutting-edge methodologies, encourages innovation,
nurtures transferable skills, and provides immersive, hands-on research
experiences. Thereby, the BICEPS network aims to shape the future of PD
research by adopting a fresh perspective and expediting the development of
diagnostics and therapies for PD, with a particular focus on the immune
system.
Best regards,
Dr Nikola Milosevic
*** First Call for Papers ***
We invite paper submissions to the 9th Workshop on Online Abuse and Harms (WOAH), which will take place on July 31/August 1 at ACL 2025.
Website: https://www.workshopononlineabuse.com/cfp.html
Important Dates
* Submission due: March 7, 2025
* ARR reviewed submission due: April 10, 2025
* Notification of acceptance: April 17, 2025
* Camera-ready papers due: May 16, 2025
* Workshop: July 31st - August 1st, 2025
Overview
Digital technologies have brought significant benefits to society, transforming how people connect, communicate, and interact. However, these same technologies have also enabled the widespread dissemination and amplification of abusive and harmful content, such as hate speech, harassment, and misinformation. Given the sheer volume of content shared online, addressing abuse and harm at scale requires the use of computational tools. Yet, detecting and moderating online abuse remains a complex task, fraught with technical, social, legal, and ethical challenges.
The 9th Workshop on Online Abuse and Harms (WOAH) invites paper submissions from a diverse range of fields, including but not limited to natural language processing, machine learning, computational social science, law, political science, psychology, sociology, and cultural studies. We explicitly encourage interdisciplinary research, technical and non-technical contributions, and submissions that focus on under-resourced languages. Non-archival papers and civil society reports are also welcome.
Topics covered by WOAH include, but are not limited to:
* New models or methods for detecting abusive and harmful online content, including misinformation;
* Biases and limitations in existing detection models or datasets for abusive and harmful content, especially those in commercial use;
* Development of new datasets and taxonomies for online abuse and harms;
* Novel evaluation metrics and procedures for detecting harmful content;
* Analyses of the dynamics of online abuse, its propagation, and its impact on different communities;
* Social, legal, and ethical considerations in detecting, monitoring, and moderating online abuse.
Special Theme: Harms Beyond Hate Speech
In its 9th edition, WOAH highlights the theme Harms Beyond Hate Speech. We aim to expand the conversation beyond conventional definitions of harmful content by exploring the nuanced ways online harms manifest—such as technologically mediated inauthentic behavior, the power of technologies to reshape perceptions and opinions, and their potential to incite discrimination, hostility, violence, or even genocide. Additionally, we emphasize the diverse targets affected by such harms and the unique considerations computational interventions demand.
To facilitate this exploration, we invite NLP researchers, social scientists, cultural scholars, and practitioners to engage with key issues, including child sexual abuse material, radicalization, misinformation, platform policies, security, and the politics of computational approaches. By fostering interdisciplinary collaboration, our goal is to deepen understanding of these complex phenomena and advance effective, ethical solutions
Submission
Submission is electronic, using the Softconf START conference management system.
Submission link: TBA
The workshop will accept three types of papers:
1) Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted.
2) Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere.
3) Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere.
All submissions must use the official ACL style files<https://github.com/acl-org/acl-style-files>. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All submissions should adhere to the workshop policies https://www.workshopononlineabuse.com/policies.html.
WOAH Community
We are excited to share the WOAH community Slack channel — a workspace for researchers interested in or working on understanding and addressing online abuse and harms!
Join us here: https://join.slack.com/t/hatespeechdet-47d7560/shared_invite/zt-2a8d96j4z-g…
Contact Info
Please send any questions about the workshop to organizers(a)workshopononlineabuse.com<mailto:organizers@workshopononlineabuse.com>
Organisers
Agostina Calabrese, University of Edinburgh
Christine de Kock, University of Melbourne
Debora Nozza, Bocconi University
Flor Miriam Plaza-del-Arco, Bocconi University
Zeerak Talat, University of Edinburgh
Francielle Vargas, University of São Paulo
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.