CALL FOR PAPERS — 19th Conference on Computer Science and Intelligence Systems FedCSIS 2024 (IEEE #61123)

19th Conference on Computer Science and Intelligence Systems
FedCSIS 2024 (IEEE #61123; SCOPUS; Web of Science)
www.fedcsis.org
Belgrade, Serbia, 8–11 September, 2024 (on-site)
(submission deadline: May 14, 2024)

The mission of the FedCSIS Conference Series is to provide a
presentation, discussion and a reputable publication forum in computer
science and intelligence systems. The forum invites researchers and
practitioners from around the world to contribute their research
results focused on their scientific and professional interests in a
chosen area.

The FedCSIS conference consists of the Main Track and Thematic Tracks.
Papers submitted to the Main Track can be assigned, by their authors,
to Topical Areas, which are managed by Topical Area Curators. Based on
the scope of the contribution, Topical Area Curators select its
reviewers from the Main Track Program Committee. Besides the Main
Track, the authors may prefer to submit their papers to Thematic
Tracks, as listed below.

For all five Topical Areas, situated within a general domain of
Computer Science, the continually emerging topic of Intelligence
Systems stands as the common denominator. All Thematic Tracks also
refer to the Intelligence Systems from different perspectives. They
are regarded as a path toward introducing more Intelligence into
Computer Science and IT.

Main Track:

+    Topical Area 1: Advanced Artificial Intelligence in Applications
+    Topical Area 2: Computer Science & Systems
+    Topical Area 3: Network Systems and Applications
+    Topical Area 4: Information Technology for Business and Society
+    Topical Area 5: Software, System and Service Engineering

Thematic Tracks –> the following Thematic Tracks are confirmed for
FedCSIS 2024 (for more details, see conference WWW site):

*    Advances in Programming Languages (APL)
*    AI in Agriculture (AgriAI)
*    AI in Digital Humanities, Computational Social Sciences and
Economics Research (AI‑HuSo)
*    Application of Disruptive Technologies for Society 5.0 (ADTS)
*    Challenges for Natural Language Processing (CNLPS)
*    Complex Networks – Theory and Application (CN‑TA)
*    Computational Optimization (CO)
*    Computer Aspects of Numerical Algorithms (CANA)
*    Data Science in Health, Ecology and Commerce (DSH)
*    Industrial Cyber-Physical Systems and Software Agents (ICPS‑SA)
*    Information Systems Management (ISM)
*    Internet of Things – Enablers, Challenges and Applications (IoT‑ECAW)
*    Knowledge Acquisition and Management (KAM)
*    Model Driven Approaches in System Development (MDASD)
*    Multimedia Applications and Processing (MMAP)
*    Recent Advances in Information Technology – Doctoral Symposium (DS‑RAIT)
*    Resilience in Critical Infrastructures and Systems (RCIS)
*    Rough Sets: Theory and Applications (RSTA)
*    Scalable Computing (SC)

Keynote Speakers:

Jovanovic, Jelena
University of Belgrade, Serbia
Keynote title: Learning analytics: Challenges and opportunities opened by AI

Kutyniok, Gitta
Ludwig-Maximilians-Universität München (LMU Munich)
Keynote title: Reliable AI: Successes, Challenges, and Limitations

Tolvanen, Juha-Pekka
Metacase, Finland
Keynote title: Languages for non-developers: what, how, where?

Frank, Urlich
University of Duisburg-Essen, Germany
Keynote title: Multi-Level Language Architectures: Fostering Reuse,
Integration and User Empowerment by Allowing for Additional
Abstraction

Professor Zdzisław Pawlak Awards:

Professor Zdzisław Pawlak (1926–2006) has been regarded as one of the
fathers of Computer Science in Poland. His theory of Rough Sets has
been one of the most recognizable contributions made by a scientist in
Poland to the area of Artificial Intelligence worldwide. In his
research, Professor Pawlak has always emphasized the need for
cross-disciplinary, cross-country, and cross-generation cooperation.
In Computer Science, there may emerge a brilliant idea in someone’s
head, but it requires collaborators to make it grow dynamically and
then – a number of subject matter experts, from various fields, to
develop its practical applications.

The following categories of awards are eligible for all paper
submitted to the FedCSIS conference:

+    Best Paper Award (€600): the best out of all papers accepted to
the conference.
+    Young Researcher Award (€400): the best out of papers whereby all
authors are younger than 40 years.
+    Industry Cooperation Award (€400): the best out of papers whereby
there are at least two different authors, one working in academia and
another one in industry.
+    International Cooperation Award (€400): the best out of papers
whereby there are at least two different authors working in
institutions located in two different countries.

We believe that all these categories reflect the principles of
Professor Pawlak’s work. The awards are decided by the Committee of
esteemed scientists, who have had the privilege to know and cooperate
with Professor Pawlak. As already mentioned, all papers – submitted to
all parts of FedCSIS – are eligible. This way, the thematic integrity
of FedCSIS is emphasized. List of past winners is available at the
conference WWW site.

Important dates:

–    Paper submission (no extensions): May 14, 2024
–    Position paper submission: June 2, 2024
–    Author notification: June 18, 2024
–    Final paper submission, registration: July 9, 2024
–    Conference date: September 8–11, 2024

Chair of FedCSIS 2024:

Luković, Ivan
University of Belgrade, Serbia

Honorary Chair of FedCSIS Conference Series:

Maciaszek, Leszek A.
Wrocław University of Economics and Business, Poland and Macquarie
University, Australia

Chairs of the FedCSIS Conference Series:

Ganzha, Maria
Warsaw University of Technology and Systems Research Institute, Polish
Academy of Sciences, Poland

Paprzycki, Marcin
Systems Research Institute, Polish Academy of Sciences, Warsaw and
Management Academy, Poland

Ślęzak, Dominik
QED Software and University of Warsaw, Poland and OnstageAI and DeepSeas, USA

Contact:
secretariat@fedcsis.org

DIS 2024 Workshop – [streamlined application] Human-Technology Assemblages Generative AI

Dear All, We've streamlined the application process for our upcoming DIS workshop about generative AI on July 2nd. https://assemblages-genai.com/

If you are interested in joining, here is a simple application form:

https://forms.gle/eSpbL1FSeaQW53oH8

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
Generative AI capabilities are rapidly transforming how we perceive, interact with, and relate to machines. This one-day hybrid workshop invites HCI researchers, designers, and practitioners to imaginatively inhabit and explore the possible futures that might emerge from humans combining generative AI capabilities into everyday technologies at a massive scale. Workshop participants will craft stories, visualizations, and prototypes through scenario-based design to investigate these possible futures, resulting in the production of an open-annotated scenario library and a journal or interactions article to disseminate the findings. We aim to gather the DIS community knowledge to explore, understand, and shape the relations this new interaction paradigm is forging between humans, their technologies and the environment in safe, sustainable, enriching, and responsible ways. 
Apply to join by completing this short form 
Thank you

Josh Andres Australian, National University Australia 

Chris Danta, Australian National University Australia 
Andrea Bianchi, KAIST Korea 
Sungyeon Hong, Australian National University Australia 
Zhuying Li, Southeast University China 
Eduardo Benitez Sandoval, University of New South Wales Australia 
Charles Patrick Martin, Australian National University Australia 
Ned Cooper, Australian National University Australia

Call For Papers – 36th IEEE International Conference on Tools with Artificial Intelligence – Oct. 28 – Oct. 30 2024 – Herndon, VA, USA

 
The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) organizing committee is inviting you to submit your research papers. The conference will be held in person, from October 28th till October 30th, 2024, in Herndon, Virginia, USA.
 
Topics include (but not limited to):
  1. AI Foundations
  2. AI in Domain-specific Applications
  3. AI in Computer Systems
  4. AI in Data Analytics, Data Mining and Big Data
  5. AI in Smart Cities
  6. Machine Learning
  7. Knowledge Representation, Reasoning, Cognition
  8. AI and Decision Systems
  9. Uncertainty in AI
  10. Natural Language Processing
  11. AI and Societal Impact
 
Important Dates
Paper submission: July 1, 2024
Acceptance notification: August 18, 2024
Camera-ready: September 16, 2024
Conference: October 28th – October 30th
 
To submit your manuscript, please use the following link: https://easychair.org/conferences/?conf=ictai2024
 
For more information, please don't hesitate to contact the General Chair Dr. Manolis Koubarakis (National and Kapodistrian University of Athens) at koubarak@di.uoa.gr, Co-Program Chairs Dr. Nikolaos Bourbakis (BAIF) at drbourbakis@gmail.com and Dr. Jessica Lin (George Mason University) at jessica@gmu.edu and Financial and Registration Chair Dr. Alexiou (Kennesaw State University) at malexiou@kennesaw.edu.
 
We look forward to your submissions.
 
Sachin Sharma
ICTAI 2024 Publicity Chair

Deep Learning School @UniCA, July 1st to 5th, Nice (France)

Our Deep Learning School is back after a 2-year break.

As in previous editions, the Deep Learning School will take place over 5 days on the SophiaTech Campus (Polytech Sophia Antipolis) from July 1 to 5, 2024.

Each day, half a day will be dedicated to a lecture by a world-renowned researcher in the field of Machine Learning/Deep Learning, and the other half day to a 3-hour Lab during which the concepts covered in class will be applied directly.

During these five days, participants will have the opportunity to be trained by world-renowned experts:

– Monday, July 1st: Interpretable AI by Prof. Cynthia Rudin, Duke University (USA)
– Tuesday, July 2nd: NLP & Frugal AI by Prof. Emma Strubell, Carnegie Mellon University (USA)
– Wednesday, July 3rd: Responsible and Fairness AI by Prof. Golnoosh Farnadi, Université McGill et Mila (Canada)
– Thursday, July 4th: IA and Physics/simulation by Prof. Amir Barati Farimani, Carnegie Mellon University (USA)
– Friday, July 5th: Foundation Models – From images to language and vice versa, by Prof. Matthieu Cord, Sorbonne Université, scientific director of Valeo AI.

You can find all the information about these specialists and their lecture on our website : https://3ia.univ-cotedazur.eu/deep-learning-school/homepage

You can register here : https://3ia.univ-cotedazur.eu/deep-learning-school/registration

We hope to host you on the French Riviera this July.
The Team of Deep Learning School @UniCA

Extended Deadline – Call for Papers ACM GoodIT 2024

;word-spacing:0px”>4-6 September 2024, Bremen, Germany

https://blogs.uni-bremen.de/goodit2024/

 

The ACM 4th International Conference on Information Technology for Social Good (GoodIT 2024)  is a premier international forum for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of data and technology for addressing Social Good and the UN Sustainable Development Goals. We welcome contributions that delve into the nexus of technology, data science, and social well-being, exploring how these domains interconnect and impact society.

 

Alongside the main track, the conference includes the Work-in-Progress and PhD Track. The Work-in-Progress Track is an excellent opportunity for practitioners and researchers to present early-stage work, offering a platform for sharing innovative ideas, receiving feedback, and fostering discussions and collaborations. The PhD Track is designed for PhD students at different stages of their research. It provides a valuable opportunity for these students to present and refine their research under the guidance of experienced researchers. 

Additionally, the program will be enriched with several Special Tracks. The forthcoming Call for Papers will outline these tracks' details and specific topics.

 

We welcome submissions on a wide range of topics, including but not limited to:

 

  • IT and Data Science for Social Good:
    • Social Impact of Machine Learning Applications
    • Data and algorithmic biases and potential societal risks 
    • Large language models (LLMs) and GenAI models impact on society
    • Fairness, Accountability, and Transparency in Machine Learning
    • Citizen Science
    • IT for smart living,  Health and social care

 

  • Technology for Social Good:
    • AI and Machine Learning for Social and Humanitarian response
    • IoT Solutions for Sustainable Development
    • Decentralized approaches to IT
    • Digital Solutions for Cultural Heritage
    • Game, entertainment, and multimedia applications
    • IT for education

 

  • Environmental Sustainability and Technology:
    • Green Computing and Energy-Efficient Technologies
    • Climate Change Modeling and Environmental Science
    • Smart Cities and Sustainable Urban Development
    • Sustainable Networking and Communication Systems
    • Technology addressing the digital divide

 

  • Ethics, Policy, and Governance in Tech for Social Good:
    • Regulatory and Policy Frameworks for Ethical Tech
    • Governance of AI and Autonomous Systems in Social Contexts
    • Digital Rights and Freedom in the Age of Technology
    • Data Privacy and Security in Social Applications

 

Submission Guidelines:

Submitted papers must be original works and must not have been previously published. 

All papers must clearly outline the research question, methodology, results, and implications for social good.

The papers should follow the new ACM format (https://authors.acm.org/proceedings/production-information/taps-production-workflow). 

  • Main Track and Special Tracks Full Paper Submission should be a maximum of 12 pages; 
  • Work-in-Progress papers should be a maximum of 8 pages;  
  • Ph.D. track papers should be a maximum of 5

The indicated paper length includes references, tables, and figures. Documents with a length disproportionate to their contribution will be rejected. 

 

These submissions will undergo a single-blind peer review process involving three evaluations each.  Accepted papers will be included in the ACM Digital Library.  

Each accepted paper must have at least one of its authors register for and physically present the work at the conference. Please consider that this is a condition to ensure the paper is included in the conference proceedings.

For additional details, please check the  “Submission of Papers”  (https://blogs.uni-bremen.de/goodit2024/submission-of-papers/) web page.

 

Important Dates:

  • Full Paper Submission Extended Deadline: June 17th, 2024 (FIRM)
  • Notification of Paper Acceptance: July 8th, 2024
  • Camera-Ready Submission: July 19th, 2024 
  • Conference Dates: 4-6 September 2024, Bremen, Germany

 

Submission Portal:

Please submit your papers through our online submission portal available at https://goodit2024.hotcrp.com/

 

Contact Us:

For any inquiries regarding the call for papers, please contact pmanzoni@disca.upv.es” target=”_blank”>pmanzoni@disca.upv.es

We look forward to your contributions and to seeing you at the ACM GOODIT 2024 Conference!


ACM GOODIT 2024 Conference Committee

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