[rede.APPIA] [CFP]EPIA_2202_Artificial Intelligence in Power and Energy Systems
Dear colleagues,
We would like to invite you to submit a paper to the Thematic Track on Artificial Intelligence in Power and Energy Systems of EPIA 2020, to be held in Lisbon, Portugal between 7 and 9 September 2020 (https://epia2020.inesc-id.pt).
Thematic Track Organizers:
Zita Vale – Polytechnic of Porto (Portugal)
Tiago Pinto – Polytechnic of Porto (Portugal)
Pedro Faria – Polytechnic of Porto (Portugal)
Elena Mocanu – University of Twente (The Netherlands)
Decebal Constantin Mocanu – Technical University of Eindhoven (The Netherlands)
Important Deadlines:
Deadline for full paper submission: 15th April, 2020
Notification of acceptance: 31st May, 2020
Camera-Ready papers: 15th June, 2020
Conference: 7-9 September 2020
Submissions:
AIPES welcomes full length papers (of up to 12 pages) and also short papers (up to 6 pages), demonstrating practical applications.
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.
Accepted papers will be included in EPIA 2020 proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence). EPIA 2020 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.
Authors of selected papers will be invited to submit an extended and improved version to a special issues published with Energies international journal (Impact Factor: 2.707). Article processing charges (APC) will be waived for the BEST PAPER. All other papers accepted in AIPES will be offered a 15% discount for inclusion in this special issue.
Scope:
The Thematic Track on Artificial Intelligence in Power and Energy Systems aims at providing an advanced discussion forum on recent and innovative work on the application of artificial intelligence approaches in the field of power and energy systems, including agent-based systems, data-mining, machine learning methodologies, forecasting and optimization.
Submission Topics:
· Agent-based Smart Grid Simulation
· Big Data Applications for Energy Systems
· Coalitions and Aggregations of Smart Grid and Market Players
· Consumer Profiling
· Context Aware Systems
· Data-Mining Approaches in Smart Grids
· Decision Support Approaches for Smart Grids
· Demand Response Aggregation
· Demand Response Integration in the Market
· Demand Response Remuneration Methods
· Electric vehicles
· Electricity Market Modelling and Simulation
· Electricity Market Negotiation Strategies
· Energy Resource Management in Buildings
· Information technology applications
· Innovative Demand Response Models and Programs
· Innovative Energy Tariffs
· Integration of Electric Vehicles in the Power System
· Intelligent Approaches for Microgrid Management
· Intelligent Home Management Systems
· Intelligent methods for Demand Management
· Intelligent Resources Scheduling
· Intelligent Supervisory Control Systems
· Knowledge-based approaches for Power and Energy Systems
· Load Forecast
· Market Models for Variable Renewable Energy
· Multi-Agent Applications for Smart Grids
· Multi-Agent Systems in Power and Energy Systems
· Other Artificial Intelligence-based Methods for Power and Energy Systems
· Phasor Measurement Units Applications
· Real-time simulation
· Reliability, Protection and Network Security Methods
· Renewable Energy Forecast using Computational Intelligence
· Semantic communication and data
· Smart Sensors and Advanced Metering Infrastructure
Best regards
AIPES organizers
[rede.APPIA] CFP: Big Data & Deep Learning in HPC (IEEE Xplore) @Porto, Portugal
Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (sbac2020.dcc.fc.up.pt/bdl2020/)
in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (sbac2020.dcc.fc.up.pt/)
Porto, Portugal
The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events.
Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism.
———————————— WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ————————————
The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the “traditional” sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations.
The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments.
———————————— LIST OF TOPICS ————————————
All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: – parallel algorithms for data-intensive applications; – scalable data and text mining and information retrieval; – using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; – energy-efficient data-intensive computing; – deep-learning with massive-scale datasets; – querying and visualization of large network datasets; – processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; – heterogeneous computing for Big Data architectures; – Big Data in the Cloud; – processing and analyzing high-resolution images using high-performance computing; – using hybrid infrastructures for Big Data analysis. – New algorithms for parallel/distributed execution of ML systems; – applications of big data and deep learning to real-life problems.
———————————— KEY DATES ————————————
Deadline for paper submission: May 25, 2020
Author notification: July 1, 2020
Camera-ready version of papers: July 25, 2020
———————————— SUBMISSION ————————————
We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore.
Submissions must be in English, limited to 8 pages in the IEEE conference format (see www.ieee.org/conferences/publishing/templates.html)
All submissions should be made electronically through the EasyChair system: easychair.org/conferences/?conf=bdl2020
———————————— REGISTRATION ————————————
A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings.
The Workshop fee is 300 euros.
Registration system available in sbac2020.dcc.fc.up.pt/bdl2020/registration.html
———————————— VENUE ————————————
Department of Computer Science, Faculty of Sciences, University of Porto
Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal
The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events.
Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism.
———————————— ORGANIZATION ————————————
Carlos Ferreira (LIAAD – INESC TEC LA and Polytechnic Institute of Porto) João Gama (LIAAD – INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS – INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto)
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] Summer School on Machine Learning and Big Data with Quantum Computing @ Porto (Portugal), 7-8 September 2020
Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020)
Porto, Portugal, September 7-8, 2020
#####################################
Machine Learning (ML) is an Artificial Intelligence (AI) branch, is about teaching computers how to learn from data to make decisions or predictions. Deep Learning (DL) is part of a broader family of ML algorithms, that is based on artificial neural networks. Arguably, DL techniques demand for big amounts of data and, as such, they require huge computational resources and advanced processing techniques.
Cloud Computing is a well-known alternative to deal with big amounts of data, since its elasticity allows for an efficient scalability of huge computational resources, such as, data storage and processing power. On the other hand, Quantum Computing is an advanced processing technique, that uses the fundamentals of quantum mechanics to accelerate the process of solving highly complex problems.
SMBQ 2020 addresses the current trends in AI and in the computational techniques that deal with big data demands, together with, a powerful processing technique that will shape the future of computation.
During 2 days, from 7-8 September 2020, we will introduce concepts, discuss the current trends and provide direct practical experience in hands-on lessons.
For more information visit: smbq2020.dcc.fc.up.pt/
#####################################
Venue:
Department of Computer Science, Faculty of Sciences, University of Porto
Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal
The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events.
Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism.
#####################################
Registration:
Registrations include attendance to all sessions, coffee breaks, lunches, wi-fi internet and access to a desktop during the hands-on sections. We have a limit on the number of registrations (60 attendees), please register early!
Early Fees: 150 euros
#####################################
Contact Persons:
Carlos Ferreira, Polytechnic Institute of Porto, LIAAD – INESC TEC, E-mail: cgf@isep.ipp.pt Miguel Areias, University of Porto, CRACS – INESC TEC, E-mail: miguel-areias@dcc.fc.up.pt
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] CfP ICCC’20, Coimbra, Portugal – Deadline March 1 (full papers)
The 11th International Conference on Computational Creativity (ICCC’20)
June 29 – July 03 2020, Coimbra, Portugal
Call for papers: full regular papers
http://computationalcreativity.net/iccc20/full-papers/
Please distribute
(Apologies for cross-posting)
If you wish to receive more information about ICCC’20 subscribe:
https://mailchi.mp/1371819fca8b/iccc20fullpapers
————————————————
Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on.
*** Themes and Topics ***
Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to:
– Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming.
– Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself.
– Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society.
– Syntheses of AI/CC treatments of very different genres or domains of creativity (e.g. art and science, humour and mathematics, language and image, etc.)
– Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation.
– Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials.
– Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems.
– Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts
– Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artefacts within a CC context.
– Computational accounts of factors that enhance creativity, including emotion, surprise(unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures.
– Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings.
– Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems.
– Computational creativity in the cloud, including how web services can be used to foster unexpected creative behaviour in computational systems.
– Big data approaches to computational creativity.
– Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome.
Papers on computational paradigms of all kinds – from symbolic to statistical to deep learning models, as well as hybrid approaches – are welcome, provided they address pertinent aspects of CC as sketched above.
*** Paper Types ***
We welcome the submission of five different types of papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers.
*** Important Dates ***
Submissions due: March 1, 2020
Acceptance notification: April 20, 2020
Camera-ready copies due: May 22, 2020
Conference: June 29 – July 03, 2020
*** More Information ***
More information on the paper types and submission process can be found at
http://computationalcreativity.net/iccc20/full-papers/
*** Organising Committee ***
– General Chair Amílcar Cardoso, University of Coimbra, Portugal
– Program Chairs: Penousal Machado, University of Coimbra, Portugal and Tony Veale, University College Dublin, Ireland
– Workshop Chairs: Oliver Kutz, University of Bozen/Bolzano, Italy and Sofia Pinto, Technical University of Lisbon, IST
– Tutorials Chair: Christian Guckelsberger, Queen Mary University, London
– Local Chair: Pedro Martins, University of Coimbra, Portugal
– Media Chair: João Miguel Cunha, University of Coimbra, Portugal
– Code-Camp Chairs: Hugo Oliveira, University of Coimbra, Portugal and Philipp Wicke, University College Dublin, Ireland.
————————————————
Follow us at:
facebook – https://www.facebook.com/pg/computationalcreativity/
twitter – https://twitter.com/iccc_conf
instagram – https://www.instagram.com/iccc_conf/
————————————————
The 11th International Conference on Computational Creativity (ICCC’20)
June 29 – July 03 2020, Coimbra, Portugal
Call for papers: full regular papers
http://computationalcreativity.net/iccc20/full-papers/
Please distribute
(Apologies for cross-posting)
If you wish to receive more information about ICCC’20 subscribe:
https://mailchi.mp/1371819fca8b/iccc20fullpapers
————————————————
Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on.
*** Themes and Topics ***
Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to:
– Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming.
– Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself.
– Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society.
– Syntheses of AI/CC treatments of very different genres or domains of creativity (e.g. art and science, humour and mathematics, language and image, etc.)
– Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation.
– Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials.
– Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems.
– Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts
– Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artefacts within a CC context.
– Computational accounts of factors that enhance creativity, including emotion, surprise(unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures.
– Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings.
– Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems.
– Computational creativity in the cloud, including how web services can be used to foster unexpected creative behaviour in computational systems.
– Big data approaches to computational creativity.
– Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome.
Papers on computational paradigms of all kinds – from symbolic to statistical to deep learning models, as well as hybrid approaches – are welcome, provided they address pertinent aspects of CC as sketched above.
*** Paper Types ***
We welcome the submission of five different types of papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers.
*** Important Dates ***
Submissions due: March 1, 2020
Acceptance notification: April 20, 2020
Camera-ready copies due: May 22, 2020
Conference: June 29 – July 03, 2020
*** More Information ***
More information on the paper types and submission process can be found at
http://computationalcreativity.net/iccc20/full-papers/
*** Organising Committee ***
– General Chair Amílcar Cardoso, University of Coimbra, Portugal
– Program Chairs: Penousal Machado, University of Coimbra, Portugal and Tony Veale, University College Dublin, Ireland
– Workshop Chairs: Oliver Kutz, University of Bozen/Bolzano, Italy and Sofia Pinto, Technical University of Lisbon, IST
– Tutorials Chair: Christian Guckelsberger, Queen Mary University, London
– Local Chair: Pedro Martins, University of Coimbra, Portugal
– Media Chair: João Miguel Cunha, University of Coimbra, Portugal
– Code-Camp Chairs: Hugo Oliveira, University of Coimbra, Portugal and Philipp Wicke, University College Dublin, Ireland.
————————————————
Follow us at:
facebook – https://www.facebook.com/pg/computationalcreativity/
twitter – https://twitter.com/iccc_conf
instagram – https://www.instagram.com/iccc_conf/
[rede.APPIA] CFP: SBAC – PAD 2020 – IEEE International Symposium on Computer Architecture and High Performance Computing
SBAC-PAD 2020
Department of Computer Science, School of Sciences, University of Porto
Porto, Portugal
sbac2020.dcc.fc.up.pt <sbac2020.dcc.fc.up.pt/>
sbac2020@dcc.fc.up.pt <mailto:sbac2020@dcc.fc.up.pt>
Call for Papers
——————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world.
In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events.
Authors are invited to submit manuscripts on a wide range of high-performance and distributed computing areas. Topics of interest include (but are not limited to):
*
Application-specific systems
*
Architecture and programming support for emerging domains (Big Data, Deep Learning, Machine learning, Cognitive Systems)
*
Benchmarking, performance measurements, and analysis
*
Cloud, cluster, and edge/fog computing systems
*
Embedded and pervasive systems
*
GPUs, FPGAs and accelerator architectures
*
Languages, compilers, and tools for parallel and distributed programming
*
Modeling and simulation methodology
*
Operating systems and virtualization
*
Parallel and distributed systems, algorithms, and applications
*
Power and energy-efficient systems
*
Processor, cache, memory, storage, and network architecture
*
Real-world applications and case studies
*
Reconfigurable, resilient and fault-tolerant systems
Paper Submission
Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work.
Authors may not use a single registration for multiple papers. Authors of accepted papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. The call will be open and will follow the normal journal submission procedure.
Important Dates
Abstract deadline:
*May 15th, 2020*
Paper deadline:
*May 22nd, 2020*
Reviewing period:
*May 24-Jun 21, 2020*
Author notification:
*June 26th, 2020*
Camera-ready submission:
*July 3rd, 2020*
Organizing Committee
General Chairs
*
InêsDutra.ines@dcc.fc.up.pt <mailto:ines@dcc.fc.up.pt>(University of Porto, Portugal)
*
Jorge Barbosa,jbarbosa@fe.up.pt <mailto:jbarbosa@fe.up.pt>(University of Porto, Portugal)
*
Miguel Areias,miguel-areias@dcc.fc.up.pt <mailto:miguel-areias@dcc.fc.up.pt>(University of Porto, Portugal)
Program Co-chairs
*
Jorge Barbosa (University of Porto, Portugal)
*
Laurent Lefèvre (Inria, ENS Lyon, University of Lyon, France)
*
Lucia Drummond (Universidade Federal Fluminense, Brazil)
Track Chairs
*
/*Computer Architecture*///
o
*Chair*: José Moreira (IBM Thomas J. Watson Research Center, USA)
*
*Networking and Distributed Systems*
o
*Chair*: Jesús Carretero (University Carlos III of Madrid, Spain)
*
*Parallel Applications and Algorithms*
o
*Chair*: Alba Melo (Universidade de Brasília, Brazil)
*
*Performance Evaluation*
o
*Chair*: Ariel Oleksiak (Poznań Supercomputing and Networking Cente, Poland)
*
*System Software*
o
*Chair*: Jidong Zhai (Tsinghua University, China)
Publicity Chairs
*
Carlos Ferreira, Instituto Superior de Engenharia, Portugal
*
Miguel Areias, University of Porto, Portugal
*
Feng Zhang, Renmin University of China
Workshop Chairs
*
Miguel Areias, University of Porto, Portugal
*
Iván Carrera, Escuela Politécnica Nacional, Quito, Equador and University of Porto, Portugal
Publications Chairs
*
IEEE – Proceedings
o
Rui Camacho, University of Porto, Portugal
o
Iván Carrera, Escuela Politécnica Nacional, Quito, Equador and University of Porto, Portugal
*
JPDC – Special Issue
o
Jorge Barbosa, University of Porto, Portugal
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] ICCC 2020 – Call for Workshop Proposals
Begin forwarded message:
From: João M. Cunha <joaompcunha@gmail.com>Subject: [computational-creativity-forum] Re: ICCC 2020 – Call for Workshop ProposalsDate: 10 February 2020 at 20:26:19 WETTo: Computational Creativity Forum <computational-creativity-forum@googlegroups.com>
Dear all,The deadline of the ICCC’20 Call for Workshop Proposals was extended!Submissions due: February 17th!More info at:http://computationalcreativity.net/iccc20/workshop-proposals/
segunda-feira, 6 de Janeiro de 2020 às 19:51:53 UTC, Kutz Oliver escreveu:————————————————
The 11th International Conference on Computational Creativity (ICCC’20)June 29 – July 3 2020, Coimbra, Portugal
Call for Workshop Proposals
Held: during 29th – 30th June at ICCC’20
Please distribute(Apologies for cross-posting)
————————————————
The International Conference on Computational creativity is soliciting proposals for workshops to be held along with the main ICCC conference. We welcome proposals for half-day, full-day and one-and-a-half day workshops on any aspect of computational creativity research. Workshops offer a great opportunity to exchange ideas, and a chance to drive broader adoption of your systems and methods. We welcome a diversity of formats, such as academic workshops (with a process of peer-review for submitted papers) or hands-on, practical workshops. Please feel free to contact the organisers to discuss the possibilities further. All workshops will be academically self-contained: they should have their own organising committee and conduct their own peer-review and publication process where necessary.
*** Important dates ***Workshop proposal submissions due: February 10th, 2020.
Workshop organisers are also encouraged to submit their proposals earlier than the deadline and request an earlier response in order to allow more time for their own submission process.
Notification of workshop acceptance: February 24th, 2019.(Earlier acceptance may be possible at the chairs’ discretion, to allow workshops a longer lead-time).
Note: all workshops should manage their own paper submission, review and publication process, with appropriate timelines.
*** Submission Instructions ***Please submit a PDF proposal of no more than 3 pages detailing the following:
– Title and theme of workshop;– Description of the workshop’s scope and the type of papers and/or works that will be accepted (feel free to refer to previous instances of the workshop, including publications);– Expected duration, number of participants, format and rough event schedule (duration can be half-day, full-day or one-and-a-half-day);– Any technical or space requirements (e.g., projector, PA, whiteboards);– Details of your workshop timeline;– Preliminary organising committee.– Details of any invited speakers, if known at the time of submission
Please email your submission as a single PDF file with the subject line “ICCC 2020 Workshop Proposal” to workshop…@computationalcreativity.net
*** Workshop Chairs ***Oliver Kutz, Free University of Bozen-Bolzano, ItalySofia Pinto, IST, INESC-ID, Portugal
*** More Information ***For more information please contact:
————————————————Follow us at:twitter – https://twitter.com/iccc_confinstagram – https://www.instagram.com/iccc_conf/
—
You received this message because you are subscribed to the Google Groups “Computational Creativity Forum” group.
To unsubscribe from this group and stop receiving emails from it, send an email to computational-creativity-forum+unsubscribe@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/computational-creativity-forum/ef4df176-94ab-4f5a-9f32-70abe1a1a9af%40googlegroups.com.