A próxima é no dia 10 de Março de 2021 das 17:00 às 18:00 em modo zoom (https://videoconf-colibri.zoom.us/j/86109989605)
Mais informações em https://events.vtools.ieee.org/m/264812 ou http://gia1.di.uminho.pt/ieee-pt/ci
[rede.APPIA] CFP: Thematic Track on MultiAgent Systems: Theory and Applications (MASTA@EPIA 2021)
************************************************* CALL FOR PAPERS **************************************************
MASTA 2021, 11th Thematic Track on MultiAgent Systems: Theory and Applications
@EPIA2021, 20th EPIA Conference on Artificial Intelligence
http://www.appia.pt/epia2021/multi-agent-systems-theory-and-applications-masta
September 7-9, 2021
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Important Dates
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Paper submission deadline: April 15, 2021
Paper acceptance notification: May 31, 2021
Camera-ready deadline: June 15, 2021
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Research on Multi-Agent Systems (MAS) has a vigorous, exciting tradition and has led to important theories and systems. However, new trends and concerns are still emerging and form the basis of current and future research. The 11th thematic track on “MultiAgent Systems: Theory and Applications”, to take place at EPIA 2020, and will provide a discussion forum on the most recent and innovative work in all areas of MAS.
The unifying focus of the thematic track will be on methodological aspects. Both theoretical and practical research should be situated in the context of existing or new methodologies. This will not preclude any specific topic, but preference will be given to research work that establishes some connection with the methodological aspects or to successful applications built upon some methodology.
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List of Topics
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Topics of interest include, but are not limited to:
Agent theories, architectures and models
Agent-based systems Interoperability
Agreement technologies
Applications of agents and MAS (industrial and commercial)
Artificial social systems
Automated negotiation and computational argumentation
Cognitive models, including emotions and philosophies
Communication: languages, semantics, protocols, and conversations
Cooperation, coordination and teamwork in MAS
Ethical and legal issues raised by autonomous agents and MAS
Formal methods for modelling agents and agent-based systems
Human-agent interaction
Learning in MAS
Multiagent evolution, emergent behavior and adaptation
Multiagent modelling and simulation
Scalability and performance of MAS
Societal and ethical issues: organizations, institutions, norms, socio-technical systems
Trust, reputation, privacy and security
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Submission and Reviewing
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All papers should be submitted in PDF format through the EPIA 2021 EasyChair submission page. Prospective authors should select the thematic track to which their paper is to be submitted. The papers should be prepared according to the Springer LNCS format, with a maximum of 12 pages. Submitted papers will be subject to a double-blind review process and will be peer-reviewed by at least three members of the respective track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
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Proceedings and Presentations
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Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2021 by the early registration deadline. EPIA 2021 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.
Each accepted paper must be presented by one of the authors in the track session.
********************************* MASTA 2021 Committees *********************************
Organizing committee
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Ana Paula Rocha (arocha@fe.up.pt), FEUP / LIACC, Portugal
João Balsa (jbalsa@ciencias.ulisboa.pt), DI / FCUL, Portugal
Graçaliz Pereira Dimuro (gracalizdimuro@furg.br), Universidade Federal do Rio Grande, Brazil
Alberto Fernandez-Gil (alberto.fernandez@urjc.es), Universidad Rey Juan Carlos, Spain
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Steering Committee
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Eugénio Oliveira, FEUP / LIACC, Portugal
Hélder Coelho, FCUL, Portugal
João Balsa, FCUL, Portugal
Luís Paulo Reis, FEUP / LIACC, Portugal
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Program Committee
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Adriana Giret, Universitat Politècnica de València, Spain
Alberto Sardinha, University of Lisbon, Portugal
Alejandro Guerra-Hernández, Universidad Veracruzana, Mexico
Andrea Omicini, Alma Mater Studiorum–Università di Bologna, Italy
Antonio J. M. Castro, LIACC, University of Porto, Portugal
Carlos Carrascosa, GTI-IA DSIC Universidad Politecnica de Valencia, Spain
Carlos Martinho, University of Lisbon, Portugal
Daniel Castro Silva, FEUP-DEI / LIACC, Portugal
Dave De Jonge, IIIA-CSIC, Spain
Diana Adamatti, Universidade Federal do Rio Grande (FURG), Brazil
Francisco Grimaldo, Departament d'Informàtica – Universitat de València, Spain
Henrique Lopes Cardoso, University of Porto, Portugal
Javier Carbo, Univ. Carlos III of Madrid, Spain
Joao Leite, Universidade NOVA de Lisboa, Portugal
John-Jules Meyer, Utrecht University, The Netherlands
Jordi Sabater Mir, IIIA-CSIC, Spain
Jorge Gomez-Sanz, Universidad Complutense de Madrid, Spain
Juan Carlos Burguillo, University of Vigo, Spain
Juan Corchado, University of Salamanca, Spain
Lars Braubach, University of Hamburg, Germany
Luís Correia, Universidade de Lisboa, Portugal
Luis Macedo, University of Coimbra, Portugal
Luís Nunes, Iscte – Instituto Universitário de Lisboa, Portugal
Marin Lujak, IMT Lille Douai, France
Michael Ignaz Schumacher, University of Applied Sciences Western Switzerland, Switzerland
Paulo Leitao, Polythecnic Institute of Braganca, Portugal
Paulo Novais, University of Minho, Portugal
Rafael H. Bordini, Pontífica Universidade Católica do Rio Grande do Sul, Brazil
Ramon Hermoso, University of Zaragoza, Spain
Reyhan Aydogan, Delft University of Technology, Turkey
Rosa Vicari, Universidade Federal do Rio Grande do Sul, Brazil
Viviane Silva, IBM Research Brazil, Brazil
[rede.APPIA] CFPs: IEEE/ACM/ASA DSAA’2021
IEEE/ACM/ASA DSAA’2021
Porto, Portugal, 06-09 October 2021
Website: dsaa2021.dcc.fc.up.pt/
Submission website: cmt3.research.microsoft.com/DSAA2021
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Important Dates Research, Application and Tutorials: submission deadline: 23 May 2021 Research and Application notification: 25 Jul. 2021 Research and Application camera ready due: 8 Aug. 2021
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Highlights of DSAA’2021 *A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. *Strong Journal, Research, and Applications tracks with reproducible and open results. *Industry track session with lightning results highlighting research advances and industry’s best practices. *Special sessions on the foundations and emerging areas for data science. *Tutorials on hot topics, and hands-on tutorials *Special panel on the trends and controversies of data science and analytics. *Strong cross-domain interactions among researchers and industry and government policymakers and practitioners. *Industry and research exhibits. *Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed. *Technically supported by ACM SIGKDD and ASA.
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Precaution of COVID-19 Due to ongoing uncertainty about future travel due to COVID-19, DSAA’2021 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions.
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About DSAA’2021 The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA’2021) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA’2021 is a multi-track conference consisting of a Journal Track, Research Track, Application Track, and Industry Track. DSAA’2021 will also feature a peer-reviewed Poster session whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics.
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Research Track The Research Track solicits the latest, original, and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to: *Data Science and Advanced Analytics Methods *Mathematics, Statistics for data science and analytics *Understanding data characteristics and complexities *Deep Learning *Data quality and misinformation *Bayesian learning, optimization, inference, and regularization *Infrastructures, and systems *Evaluation, explanation, visualization, and presentation *Fairness, accountability, and trustworthy Machine Learning *Survey and review The paper submission deadline for the Research Track is May 23, 2021 (no separate abstract deadline) and the acceptance notifications will be sent out by July 25, 2021.
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Applications Track The Application track solicits original, impactful, and actionable application results of Data Science and Advanced Analytics across various disciplines and domains, including business, government, healthcare and medical science, physical sciences, and social sciences. Submissions address a real problem on real-life data that is reproducible ideally through a public git repository, providing inspiring results to policymakers, end-users or practitioners or highlighting new practical challenges for researchers. Topics of interest include but are not limited to: *Domain-driven data science and analytics practice *Real-world applications and case studies *Operationalizable infrastructures, platforms, and tools *Deployment, management, and decision-making *System and software demonstrations *Social and economic impact modelling *Ethics, social issues, privacy, trust, and bias
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Industrial Track The IEEE DSAA’2021 Industry track aims to highlight the challenges of putting together production-grade software solutions to different business verticals based on data science. Our goal is to promote the debate, the exchange of ideas and/or collaborations on how to add business value to society through data science.
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Submission Submissions to the main conference including Research Track & Application Track are available from CMT: cmt3.research.microsoft.com/DSAA2021.
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
[rede.APPIA] Fwd: Parceria | Champalimaud Research Symposium 2020
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[rede.APPIA] Fwd: Convite
[rede.APPIA] DaSSWeb – Data Science and Statistics Webinar – 23 Fev – Anabela Carneiro
DaSSWeb – Data Science and Statistics Webinar
Tuesday, 23 February, 14:30
Speaker: Anabela Carneiro (FEP, U.Porto and CEF.UP)
Title: Decomposition Methods in Economics to Assess which Covariates Matter
Zoom link: videoconf-colibri.zoom.us/j/81745596464
Abstract: It is very common in empirical research to estimate several regression models to check the robustness of the results or to evaluate how the estimate of the coefficient of interest changes as we add a set of covariates to a baseline model. For example, in explaining the sources of the gender wage gap, very often researchers estimate multiple wage equations in order to evaluate how the gender-dummy coefficient changes as individual and job characteristics are added to the model and then attribute this difference to the new set of variables included in the model. This approach is not exempt of criticism as the order in which covariates are added is not irrelevant. In this seminar, I will present a decomposition technique, proposed by Gelbach (2016), that appeals to the omitted variable bias formula to unambiguously disentangle the contribution of each covariate to the change in the estimate of the coefficient of the variable under scrutiny. This procedure was applied to matched employer-employee data in Portugal to decompose the sources of the wage losses of displaced workers (Raposo, Portugal & Carneiro, 2021).
DaSSWeb_Anabela_Carneiro.pdf[rede.APPIA] ICARSC 2021 – Deadline Extended – Feb 22