20th International Conference on Principles of Knowledge Representation and Reasoning, KR 2023: Call for Papers

March 1st, 2023 Daniela Lopez de Luise

* Please note that the deadline for title and abstract submission for KR 2023 appearing in WikiCFP website is incorrect! The correct deadline for title and abstract submission is March 3, 2023. *

 

20th International Conference on

Principles of Knowledge Representation and Reasoning, KR 2023

September 2 – September 8, 2023, Rhodes, Greece

 

First Call for Papers

Knowledge Representation and Reasoning (KR) is a well-established and lively field of research within Artificial Intelligence. KR  builds on the fundamental thesis that knowledge can be  represented in an explicit declarative form, suitable for processing by dedicated symbolic reasoning engines. This enables the exploitation of  knowledge that would otherwise be implicit through semantically grounded inference mechanisms. Consequently, KR has contributed to the theory and practice of various areas in AI, including agents, automated planning and natural language processing, and to fields beyond AI, including data management, semantic web, verification, software engineering, robotics, computational biology, and cyber security.

The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge.

KR 2023 will consist of a number of tracks and events: the Main Track, the Applications & Systems Track, the special session on KR & ML, the special session on KR, Robotics & Planning, the Recently Published Research (RPR) Track, the Tutorials & Workshops, the Doctoral Consortium, and the Diversity and Inclusion Session. Details about all these events will be made available later (possibly in separate calls).

Contributions to the Main Track, the Applications & Systems Track, the special session on KR & ML, and the special session on KR, Robotics & Planning will take the form of papers that will be published in the proceedings of KR 2023. We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. We also encourage “reports from the field” of applications, experiments, developments, and tests. Further details about the submission guidelines and the selection criteria to be considered for the Applications & Systems Track, the special session on KR & ML, and the special session on KR, Robotics & Planning will be given later (possibly in separate calls).

 

Submission Guidelines

The Main Track, the Applications & Systems Track, as well as the special session on KR & ML and the special session on KR, Robotics & Planning will allow contributions of both regular papers (up to 9 pages) and short papers (up to 4 pages), including abstract, figures, and appendices (if any) but excluding references and acknowledgements, prepared and submitted according to the authors guidelines provided in the submission page.

Both full and short papers must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings, or to papers uploaded at public repositories (e.g., arXiv).

Papers must be written in English and formatted using the style files provided in the submission page. Submissions are not anonymous (i.e., reviewing will be single-blind) and must be submitted in PDF format, through the EasyChair conference system: https://easychair.org/conferences/?conf=kr2023

The paper title, author names, contact details, and a brief abstract must be submitted electronically through the EasyChair conference system by the abstract submission deadline. It will be possible to make minor edits to the title and abstract until the full paper submission deadline. Submissions with “placeholder” abstracts will be removed without consideration.

Full papers must be submitted through the same site by the paper submission deadline. The list of author names provided at submission time is final. Authors may not be added to, or removed from, papers following submission.

Authors may optionally submit a separate PDF containing additional information that substantiates the claims made in their paper, such as proof details, additional experimental results, further details on experimental design, etc. If authors wish to make such material available to reviewers, they should do so by submitting a file through EasyChair, rather than by including links or references in their paper. The main paper must be self contained, as the supplementary material will not be published. Reviewers will have the option, but not the obligation, to consult the supplementary material.

 

Selection Process

The program committee consists of PC members (reviewers) and Area Chairs (ACs), who overview the reviewing and meta-reviewing process.

Selection criteria include the novelty and originality of ideas, correctness, clarity, significance of results, potential impact and quality of the presentation.

Papers violating the format (e.g., by decreasing margins or font sizes) or describing contributions that do not significantly meet the topics of the conference will be desk rejected by the program chairs, without any opportunity to submit an author response.  By submitting a paper, authors acknowledge that they are aware of the possibility of receiving a summary rejection notification.

Papers that are not desk rejected will be reviewed by a group of  PC members (PCs) and the reviewing process will be supervised by an Area Chair (AC).

The review process will include the opportunity for authors to respond to the reviews by pointing out factual errors in the reviews and answering specific questions by the reviewers. Author responses should be concise, and are not intended to create a dialogue between reviewers and authors. Author responses will be visible to PCs and ACs.

The final decisions will be made by the program co-chairs. There will be no appeal for the decisions made.

Accepted papers will be published in the KR 2023 proceedings. At least one author of each accepted paper is required to participate in the conference and present the work.

Prizes for best papers (the Ray Reiter Best Paper Prize and the Marco Cadoli Best Student Paper Prize) will be possibly awarded, and runners-up will be possibly pointed out. Top papers from KR 2023 will be invited to the award-winning paper tracks of Artificial Intelligence (AIJ) and of the Journal of Artificial Intelligence Research (JAIR). Thus, award winners will have the possibility of choosing between AIJ and JAIR.

All submissions will be treated in strict confidence until the publication date.

 

Organization

General Chair

  • Gabriele Kern-Isberner | TU Dortmund, Germany

Program Chairs

  • Pierre Marquis | Université d’Artois, France
  • Tran Cao Son | New Mexico State University, USA

Local Arrangement Chair

  • Pavlos Peppas | University of Patras, Greece

RPR Track        

  • Leila Amgoud | IRIT-CNRS, France
  • Martin Gebser | Graz University of Technology, Austria   

Applications & Systems Track 

  • Matti Järvisalo | University of Helsinki, Finland
  • Francesco Ricca | University of Calabria, Italy  

Special Session on KR & ML

  • Tias Guns | KU Leuven, Belgium
  • Luciano Serafini | Fondazione Bruno Kessler,Italy

Special Session on KR, Robotics & Planning

  • Esra Erdem | Sabanci University, Turkey
  • Shiqi Zhang | SUNY Binghamton, USA

Diversity and Inclusion Session

  • Meghyn Bienvenu | LaBRI-CNRS, France
  • Stefan Schlobach | Vrije Universiteit Amsterdam, The Netherlands    

Doctoral Consortium         

  • Tanya Braun | University of Münster, Germany
  • Nico Potyka | Imperial College London, UK

Tutorials & Workshops     

  • Nicolas Schwind | AIST, Japan
  • Serena Villata | I3S-CNRS, France     

Funding & Sponsorship   

  • Marcello Balduccini | Saint Joseph's University, USA
  • Pedro Cabalar | Corunna University, Spain

Publicity Chairs

  • Theofanis (Fanis) Aravanis | University of Patras, Greece
  • Guillermo Simari | Universidad Nacional del Sur, Argentina

Web Site

  • Ioannis (Yannis) Konstantoulas | University of Patras, Greece

       

Important Dates

  • Submission of title and abstract: March 3, 2023
  • Paper submission deadline: March 14, 2023
  • Author response period: May 1-3, 2023
  • Author notification: May 18, 2023
  • Camera-ready papers: June 9, 2023
  • Conference: September 2-8, 2023

Details for submission to the RPR track, the Doctoral Consortium, and the Tutorials & Workshops will be given later, possibly in separate calls.

 

Topics of Interest

Topics of interest include, but are not limited to:

  • Applications of KR
  • Argumentation
  • Belief revision and update, belief merging
  • Commonsense reasoning
  • Computational aspects of knowledge representation
  • Concept formation, similarity-based reasoning
  • Contextual reasoning
  • Decision making
  • Description logics
  • Explanation finding, diagnosis, causal reasoning, abduction
  • Geometric, spatial, and temporal reasoning
  • Inconsistency- and exception-tolerant reasoning
  • Knowledge acquisition
  • Knowledge graphs and open linked data
  • Knowledge representation languages
  • KR and automated reasoning (satisfiability, QBF, model counting, knowledge compilation)
  • KR and autonomous agents and multi-agent systems
  • KR and cognitive modelling
  • KR and cognitive reasoning
  • KR and cognitive robotics
  • KR and cognitive systems
  • KR and cyber security
  • KR and education
  • KR and game theory
  • KR and machine learning, inductive logic programming,
  • KR and natural language processing and understanding
  • KR and the Web, Semantic Web
  • Logic programming, answer set programming
  • Modeling and reasoning about preferences
  • Multi- and order-sorted representations and reasoning
  • Non-monotonic logics, default logics, conditional logics
  • Ontology-based data access, integration, and exchange
  • Ontology formalisms and models
  • Philosophical foundations of KR
  • Qualitative reasoning, reasoning about physical systems
  • Reasoning about actions and change, action languages
  • Reasoning about constraints, constraint programming
  • Reasoning about knowledge, beliefs, and other mental attitudes
  • Uncertainty, vagueness, many-valued and fuzzy logics

 

Contact

All enquiries should be emailed to kr2023 (AT) easychair.org.

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CFP: 18th Conference on Computer Science and Intelligence Systems; IEEE #57573

March 1st, 2023 Daniela Lopez de Luise
CALL FOR PAPERS

18th Conference on Computer Science and Intelligence Systems (FedCSIS’2023)

Warsaw, Poland, 17–20 September, 2023

(IEEE: #57573, 70 punktów parametrycznych MEiN)

www.fedcsis.org

Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

Please feel free to forward this announcement to your colleagues and
associates who could be interested in it.

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing:
DBLP, Scopus and Web of Science; 20 Technical Sessions in 5 Tracks;
Doctoral Symposium; Data Mining Competition.

********************* Statement concerning LLMs *********************

Recognizing developing issue that affects all academic disciplines, we
would like to state that, in principle, papers that include text
generated from a large-scale language model (LLM) are prohibited, unless
the produced text is used within the experimental part of the work.

*********************************************************************

FedCSIS is an annual international conference, this year organized
jointly by the Polish Information Processing Society (PTI), IEEE Poland
Section Computer Society Chapter and Department of Mathematics and
Information Sciences, Warsaw University of Technology. It is technically
sponsored by a number of IEEE units and other professional organizations
(for the full list, see the conference site). The mission of the FedCSIS
Conference Series is to provide a highly acclaimed forum in computer
science and intelligence systems. We invite researchers from around the
world to contribute their research results and participate in Technical
Sessions, focused on their scientific and professional interests in
computer science and intelligence systems.

Since November 2021, FedCSIS if worthy 70 parametric points to Polish
researchers.

Since 2012, Proceedings of the FedCSIS conference are indexed in SCOPUS,
DBLP and other indexing services. Information about FedCSIS indexing /
bibliometry / rankings can be found at:
https://fedcsis.org/for_authors/indexation.

FedCSIS TRACKS AND TECHNICAL SESSIONS

The FedCSIS 2023 consists of five conference Tracks, hosting Technical
Sessions:

Track 1: Advanced Artificial Intelligence in Applications (18th
Symposium AAIA 2023)
        * AI in Agriculture (1st Workshop AgriAI 2023)
           * Challenges for Natural Language Processing (1st Symposium
CNLPS’23)
          * Distributed Edge AI – Risks and Challenges (1st Workshop DE-AI 2023)
           * Rough Sets: Theory and Applications (5th International
Symposium RSTA 2023)
           * Computational Optimization (16th Workshop WCO 2023)

Track 2: Computer Science & Systems (CSS 2023)
           * Computer Aspects of Numerical Algorithms (16th Workshop
CANA 2023)
           * Multimedia Applications and Processing (16th International
Symposium MMAP 2023)
           * Scalable Computing (13th Workshop WSC 2023)

Track 3: Network Systems and Applications (NSA 2023)
           * Complex Networks – Theory and Application (2nd Workshop
CN-TA'23)
           * Internet of Things – Enablers, Challenges and Applications
(7th Workshop IoT-ECAW 2023)
           * Cyber Security, Privacy and Trust (4th International Forum
NEMESIS 2023)

Track 4: Information Technology for Business and Society (ITBS 2023)
           * International Workshop on AI in Digital Humanities,
Computational Social Sciences and Economics Research (1st Workshop
AI-HuSo 2023)
           * Data Science in Health, Ecology and Commerce (5th Workshop
DSH 2023)
           * Information Systems Management (18th Conference ISM 2023)
           * Knowledge Acquisition and Management (29th Conference KAM 2023)
           * Meta Environment for Citizens, Business and Entertainment
(1st Conference MECBE 2023)

Track 5: Software, System and Service Engineering (S3E 2023)
           * Cyber-Physical Systems (10th Workshop IWCPS-10)
           * Practical Aspects of and Solutions for Software Engineering
(24th Conference KKIO 2023)
           * Software Engineering (43rd IEEE Workshop SEW-43)
           * Advances in Programming Languages (8th Workshop WAPL 2023)

Recent Advances in Information Technology (8th Symposium DS-RAIT 2023)

KEYNOTE SPEAKERS (preliminary list):

* Lipika Dey
        Tata Consultancy Services
        https://scholar.google.com/citations?hl=en&user=4E6f01EAAAAJ
        Keynote title: Deciphering Clinical Narratives – augmented intelligence
for Decision Making in Health care sector

* Marta Kwiatkowska
        University of Oxford
        https://scholar.google.com/citations?hl=en&user=ArcH6PkAAAAJ
        Keynote title: When to trust AI…

* Roman Słowiński
        Poznan University of Technology
        https://scholar.google.com/citations?hl=en&user=yCX-JrQAAAAJ
        Keynote title: Multiple Criteria Decision Aiding by Constructive
Preference Learning

DATA MINING COMPETITION – to be announced (see the conference WWW site)

ZDZISLAW PAWLAK BEST PAPER AWARD

The Professor Zdzislaw Pawlak Awards are given in the following categories:

•       Best Paper Award (€600)
•       Young Researcher Paper Award (€400)
•       Industry Cooperation Award (€400)
•       International Cooperation Award (€400)

All papers accepted to FedCSIS 2023 are eligible to be considered as the
award winners.

This award will be granted independently from awards given by individual
FedCSIS events (Tracks and/or Technical Sessions).

Past Award winners can be found here: https://fedcsis.org/zp_award

PAPER SUBMISSION AND PUBLICATION

+ Papers should be submitted by May 23, 2023 (strict deadline, no
extensions, submission system is open, via EasyChair
https://easychair.org/my/conference?conf=fedcsis2023).

+ Paper submission system will be opened on March 1, 2023

+ Preprints will be published online.

+ Only papers presented during the conference will be submitted to the
IEEE for inclusion in the Xplore Digital Library. Furthermore,
proceedings, published in a volume with ISBN, ISSN and DOI numbers, will
be posted within the conference Web portal. Moreover, most Technical
Session organizers arrange quality journals, edited volumes, etc., and
may invite selected extended and revised papers for post-conference
publications (information can be found at the websites of individual
events, or by contacting Chairs of said events).

IMPORTANT DATES

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there
will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023
+ Conference date: September 17-20, 2023

CHAIRS OF FedCSIS CONFERENCE SERIES

Maria Ganzha, Marcin Paprzycki, Dominik Slezak

CONTACT FedCSIS at: secretariat@fedcsis.org

FedCSIS in Social Media:
FedCSIS on Facebook:    https://tinyurl.com/FedCSISFacebook
FedCSIS on LinkedIN:    https://tinyurl.com/FedCSISonLinkedIN
FedCSIS on Twitter:     https://twitter.com/FedCSIS

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AIDA Short Course: “Trustworthy AI in practice”, 3 & 17 March 2023, 13:00-15:30 CET

March 1st, 2023 Daniela Lopez de Luise

Lecturer and Affiliation:

Juraj Podroužek, juraj.podrouzek@kinit.sk

Matúš Mesarčík, matus.mesarcik@kinit.sk

 

Host Institution: Kempelen Institute of Intelligent Technologies

 

Content and organization: Trustworthy and ethical AI is currently one of the most discussed topics in relation to responsible development and use of AI systems. The ethical aspect of AI is even emphasized on the level of the European Union (EU) due to publication of key documents like Ethics Guidelines for trustworthy AI (EGTAI), Assessment List for Trustworthy AI (ALTAI) or proposal for regulation of artificial intelligence – Artificial Intelligence Act (AIA). In recent years the debate about trustworthy AI has shifted from postulating the set of common ethical principles to the question how to translate these principles into practice. The abundance of various AI ethics tools and methods can be deemed as an answer to this question. However, such practical frameworks and assessments also raise some concerns about their appropriateness, comprehensibility or coherence with proposed regulations. In this short course we will briefly introduce the concepts of trustworthy AI and current legal framework on AI, namely proposed EU Artificial Intelligence Act. We will show why especially EGTAI and ALTAI can be used as a core of ethics-based assessment processes for achieving trustworthy AI. On the other hand, we will also highlight the areas where ALTAI falls short and needs to be supplemented by additional tools and frameworks. Furthermore, we will emphasize the most notable convergences within existing or proposed EU laws in terms of conducting ethics-based AI assessments. After completing the course, participants will have a general understanding of how the ethics-based assessment process based on ALTAI works and how it fits into the existing and future legal frameworks.

 

Course Level: Postgraduate

 

Course duration: 5 hours (2 lectures, 2.5 hours each)

 

Course Type: Short course

 

Participation terms: Free of charge.

Both AIDA and non-AIDA students are encouraged to participate in this short course.

If you are an AIDA Student* already, please:

 

Step (a): Register in the course, please send a registration email to matus.mesarcik@kinit.sk with title “AIDA Course Registration”.

AND Step (b): Enroll in the same course in the AIDA system using the button “Enroll on this Course”, so that this course enters your AIDA Certificate of Course Attendance.

 

If you are not an AIDA Student, do only step (a).

 

*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members)

 

Lectures plan: 3.03.2023 from 13:00 to 15:30 CET (2.5 hours) 17.03.2023 from 13:00 to 15:30 CET (2.5 hours)

 

Proposed schedule: 3.03.2023 and 17.03.2023

Language: English

 

Modality: online

 

Notes: At the end of course, non-AIDA and AIDA students attending the lectures via Google Meet will receive a certificate of their attendance.

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On Computational Politics, Computational Public Policy, Political Engineering, and Public Policy Engineering

March 1st, 2023 Daniela Lopez de Luise

On Public Policy Engineering, Computational Public Policy, Political Engineering, and Computational Politics

 

By Ashu M. G. Solo

 

Ashu M. G. Solo originated the new interdisciplinary fields of “political engineering,” “computational politics,” “public policy engineering,” and “computational public policy” in a research paper in 2011 and followed this up with more research papers describing political engineering, computational politics, public policy engineering, and computational public policy.

 

It's important to distinguish between politics and public policy:  

 

http://factmyth.com/factoids/policy-is-different-than-politics/

 

The term “political engineering” had been previously used to describe the design of political institutions, but this was a misuse of the term “engineering” because it required no engineering.

 

Public policy engineering as defined by Ashu M. G. Solo is the application of engineering, computer science, mathematics, or natural science to solving problems in public policy.  Computational public policy as defined by Ashu M. G. Solo is the application of computer science or mathematics to solving problems in public policy.  Public policy engineering and computational public policy include, but are not limited to, principles and methods for public policy formulation, decision making, analysis, modeling, optimization, forecasting, and simulation. 

 

Political engineering as defined by Ashu M. G. Solo is the application of engineering, computer science, mathematics, or natural science to solving problems in politics.  Computational politics as defined by Ashu M. G. Solo is the application of computer science or mathematics to solving problems in politics.  Political engineering and computational politics include, but are not limited to, principles and methods for political decision making, analysis, modeling, optimization, forecasting, simulation, and expression. 

 

Ashu M. G. Solo saw the need to originate new fields on the application of engineering, computer science, mathematics, and natural science to solving problems in public policy after seeing that legislators usually determine spending priorities and budget allocations based on passions of the moment, special interest lobbying, parochial interests, ignorant public opinion, or their own ideological biases rather than on a rigorous mathematical and computational analysis of how spending priorities and budget allocations can be made for the greatest public benefit.  

 

Ashu M. G. Solo saw the need to originate new fields on the application of engineering, computer science, mathematics, and natural science to solving problems in politics after seeing that many politicians often determine how to spend limited campaign funds on advertising in certain geographic areas based on their best guesses rather than on a rigorous mathematical and computational analysis of how funds should be allocated for the greatest benefit to their campaigns.  

 

Ashu M. G. Solo originated political engineering, computational politics, public policy engineering, and computational public policy in this research paper in 2011:

 

Ashu M. G. Solo [2011], “The New Fields of Public Policy Engineering, Political Engineering, Computational Public Policy, and Computational Politics,” Proceedings of the 2011 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government (EEE'11), Las Vegas, July 18-21, 2011, CSREA Press, pp. 431-434.

URL:  http://worldcomp-proceedings.com/proc/p2011/EEE5211.pdf

 

Ashu M. G. Solo followed up this research paper with other research papers describing the new interdisciplinary fields of political engineering, computational politics, public policy engineering, and computational public policy.  Here are three of them:

 

Ashu M. G. Solo [2014], “The New Interdisciplinary Fields of Political Engineering and Computational Politics,” Political Campaigning in the Information Age, Solo, A. M. G., editor, IGI Global, pp. 226-232.

URL:  http://www.igi-global.com/chapter/the-new-interdisciplinary-fields-of-political-engineering-and-computational-politics/109123

 

Ashu M. G. Solo [2014], “The New Interdisciplinary Fields of Public Policy Engineering and Computational Public Policy,” Political Campaigning in the Information Age, Solo, A. M. G., editor, IGI Global, pp. 233-238.

URL:  http://www.igi-global.com/chapter/the-new-interdisciplinary-fields-of-public-policy-engineering-and-computational-public-policy/109124

 

Ashu M. G. Solo [2019], “The Interdisciplinary Fields of Political Engineering, Public Policy Engineering, Computational Politics, and Computational Public Policy,” Handbook of Research on Politics in the Computer Age, Solo, A. M. G., editor, IGI Global, pp. 1-16.

URL:  https://www.igi-global.com/chapter/the-interdisciplinary-fields-of-political-engineering-public-policy-engineering-computational-politics-and-computational-public-policy/238214

 

Here are definitions by Ashu M. G. Solo on computational politics, computational public policy, political engineering, and public policy engineering for the InfoSci-Dicionary:

 

Ashu M. G. Solo [2020], definition of public policy engineering, InfoSci-Dictionary, IGI Global.

URL:  https://www.igi-global.com/dictionary/the-interdisciplinary-fields-of-political-engineering-public-policy-engineering-computational-politics-and-computational-public-policy/78080

 

Ashu M. G. Solo [2020], definition of political engineering, InfoSci-Dictionary, IGI Global.

URL:  https://www.igi-global.com/dictionary/the-interdisciplinary-fields-of-political-engineering-public-policy-engineering-computational-politics-and-computational-public-policy/78079

 

Ashu M. G. Solo [2020], definition of computational public policy, InfoSci-Dictionary, IGI Global.

URL:  https://www.igi-global.com/dictionary/the-interdisciplinary-fields-of-political-engineering-public-policy-engineering-computational-politics-and-computational-public-policy/78074

 

Ashu M. G. Solo [2020], definition of computational politics, InfoSci-Dictionary, IGI Global.

URL:  https://www.igi-global.com/dictionary/the-interdisciplinary-fields-of-political-engineering-public-policy-engineering-computational-politics-and-computational-public-policy/78073

 

Follow these webpages created by Ashu M. G. Solo on computational politics, computational public policy, political engineering, and public policy engineering:

 

Ashu M. G. Solo, “Political and Public Policy Engineering and Computational Politics and Public Policy,” 

URL:  https://pe-ppe-cp-cpp.blogspot.com/

 

Ashu M. G. Solo, “Research on Public Policy Engineering, Political Engineering, Computational Public Policy, and Computational Politics,” URL:  

https://www.researchgate.net/project/Research-on-Public-Policy-Engineering-Political-Engineering-Computational-Public-Policy-and-Computational-Politics

 

Ashu M. G. Solo, “Political and Public Policy Engineering,” 

URL:  https://www.facebook.com/Political-and-Public-Policy-Engineering-952908691520425/

 

Ashu M. G. Solo, “Computational Politics and Computational Public Policy,” 

URL:  https://www.facebook.com/Computational-Politics-and-Computational-Public-Policy-467834106930977/

 

Also, Ashu M. G. Solo wrote many research papers describing research within the domain of political engineering, computational politics, public policy engineering, and computational public policy.  Here are four of them:

 

Ashu M. G. Solo [2012], “Warren, McCain, and Obama Needed Fuzzy Sets at a Presidential Forum,” Special Issue on Real Life Applications of Fuzzy Logic, Advances in Fuzzy Systems, Hindawi.

URL:  http://www.hindawi.com/journals/afs/2012/319718/

 

Ashu M. G. Solo [2012], “Fuzzy Sets for Defining 'Rich' at a Presidential Forum,” Proceedings of the International Conference on 2012 Information Society (i-Society 2012), London, June 25-28, 2012, IEEE Press, pp. 484-485. 

URL:  https://ieeexplore.ieee.org/document/6285027

 

Ashu M. G. Solo [2016], “Interval Type-Two Fuzzy Sets for Defining ‘Rich’ at a Presidential Forum,” Proceedings of the 2016 International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, Las Vegas, July 25-28, 2016, CSREA Press, pp. 181-182. 

URL:  http://www.worldcomp-proceedings.com/proc/proc2016/EEE16_Final_Edition/EEE16_Papers.pdf

 

Ashu M. G. Solo [2019], “Type-One and Interval Type-Two Fuzzy Logic for Quantitatively Defining Imprecise Linguistic Terms in Politics and Public Policy,” Handbook of Research on Politics in the Computer Age, Solo, A. M. G., editor, IGI Global, pp. 17-44.

URL:  https://www.igi-global.com/chapter/type-one-and-interval-type-two-fuzzy-logic-for-quantitatively-defining-imprecise-linguistic-terms-in-politics-and-public-policy/238215

 

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DeepLearn 2023 Spring: early registration March 13

March 1st, 2023 Daniela Lopez de Luise
******************************************************************

9th INTERNATIONAL SCHOOL ON DEEP LEARNING

DeepLearn 2023 Spring

Bari, Italy

April 3-7, 2023

https://deeplearn.irdta.eu/2023sp/

***********

Co-organized by:

Department of Computer Science
University of Bari “Aldo Moro”

Institute for Research Development, Training and Advice – IRDTA
Brussels/London

******************************************************************

Early registration: March 13, 2023

******************************************************************

SCOPE:

DeepLearn 2023 Spring will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Las Palmas de Gran Canaria, Luleå and Bournemouth.

Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, geographic information systems, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 22 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Spring is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

DeepLearn 2023 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be:

Department of Computer Science
University of Bari “Aldo Moro”
via Edoardo Orabona, 4
70125 Bari

STRUCTURE:

3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKERS:

Vipin Kumar (University of Minnesota), Knowledge-Guided Deep Learning: A Framework for Accelerating Scientific Discovery

William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics

Emma Tolley (Swiss Federal Institute of Technology Lausanne), Physics-Informed Deep Learning

PROFESSORS AND COURSES:

Babak Ehteshami Bejnordi (Qualcomm AI Research), [intermediate/advanced] Conditional Computation for Efficient Deep Learning with Applications to Computer Vision, Multi-Task Learning, and Continual Learning

Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems

Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware

Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Calibration Methods for Neural Networks

Christoph Lampert (Institute of Science and Technology Austria), [intermediate] Training with Fairness and Robustness Guarantees

Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning

Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics

Michael Mahoney (University of California Berkeley), [intermediate] Practical Neural Network Theory

Liza Mijovic (University of Edinburgh), [introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks

Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks [with Rita Singh, Daniel Justice and Prabh Baweja]

Holger Rauhut (RWTH Aachen University), [intermediate] Gradient Descent Methods for Learning Neural Networks: Convergence and Implicit Bias

Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable Deep Learning from First Principles

Tara Sainath (Google), [advanced] E2E Speech Recognition

Martin Schultz (Research Centre Jülich), [intermediate] Deep Learning for Air Quality, Weather and Climate

Hao Su (University of California San Diego), [intermediate/advanced] Neural Representation for 3D Capturing

Adi Laurentiu Tarca (Wayne State University), [intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies

Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning

Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications

Atlas Wang (University of Texas Austin), [intermediate] Sparse Neural Networks: From Practice to Theory

Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission

Lei Xing (Stanford University), [intermediate] Deep Learning for Medical Imaging and Genomic Data Processing: from Data Acquisition, Analysis, to Biomedical Applications

Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by March 26, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by March 26, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by March 26, 2023.

ORGANIZING COMMITTEE:

Giuseppina Andresini (Bari, local co-chair)
Graziella De Martino (Bari, local co-chair)
Corrado Loglisci (Bari, local co-chair)
Donato Malerba (Bari, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Paolo Mignone (Bari, local co-chair)
Sara Morales (Brussels)
Gianvito Pio (Bari, local co-chair)
Francesca Prisciandaro (Bari, local co-chair)
David Silva (London, organization chair)
Gennaro Vessio (Bari, local co-chair)

REGISTRATION:

It has to be done at

https://deeplearn.irdta.eu/2023sp/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions are available at

https://deeplearn.irdta.eu/2023sp/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

david@irdta.eu

ACKNOWLEDGMENTS:

University of Bari “Aldo Moro”

Rovira i Virgili University

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