DaSSWeb – Data Science and Statistics Webinar
Date: June, 30, 2020, 14h30m
Speaker: Pedro Campos
Title: “New avenues of Data Science in Official Statistics”
Abstract: As a consequence of the COVID-19 outbreak, face-to-face (CAPI and PAPI) data collection methods have been replaced by remote collection methods, such as telephone and web surveys. Administrative data sources, on the other hand, are important resources that National Statistical Offices need to make wider and better use in order to reduce respondent burden, costs, and improve the quality and efficiency across the entire statistical production system. Furthermore, the development of big data and its potential as a third source of data for official statistics poses a range of opportunities, challenges and risks. Eurostat recently identified smart statistics as the future role of official statistics in a world impregnated with smart technologies. Trusted Smart Statistics are, therefore, the natural evolution of official statistics in the new datafied world. In this seminar, we will explore these (and other) new avenues of official statistics, focusing on how data science copes with these new challenges. Special focus will be given to ethical issues, privacy preserving, coverage and selectivity, small area estimation, geospatial information and machine learning models.
Short Bio: Pedro Campos is currently Director of Methodology in Statistics Portugal and Assistant Professor at the Faculty of Economics, University of Porto, where he got his Phd in Business Studies. He is also researcher at INESC TEC, where he leads the line of Agent-Based Modelling at LIAAD (Laboratory of Artificial Intelligence and Decision Support). Pedro is Vice-President of IASE (the International Association for Statistical Education) and Deputy Director of the International Statistical Literacy Project of the ISI.
ZOOM link :
videoconf-colibri.zoom.us/j/98961206889

DaSSWeb_Pedro_Campos.pdf

Our apologies if you receive multiple copies of this CFP
******************* The 21st International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2020) 4-6 november, Guimarães, Portugal islab.di.uminho.pt/ideal2020
Extended Submission Deadline – 30 June 2020
******************* Call for papers ******************* COVID-19: It is in the interest of the organisers to hold IDEAL 2020 as a regular physical conference, to facilitate maximum academic interactions and impact. So, we hope it will be possible in November. However, the Organizing Committee is constantly monitoring the situation of COVID-19, both in Portugal and in the world, and will consider the possibility of changing the conference to virtual, if the situation is still a health threat or a second outbreak.
The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analytics and associated learning systems and paradigms. After the hugely successful IDEAL 2018 in Madrid and its 20th edition in Manchester, IDEAL 2020 is going to Guimarães the birthplace of Portugal. Its main themes or topics include, but not limited to:
– Big Data Analytics – Machine Learning & Deep Learning – Data Mining – Information Retrieval and Management – Bio- and Neuro-Informatics – Bio-Inspired Models – Agents and Hybrid Intelligent Systems – Real-world Applications of Intelligent Techniques
******************* Special Sessions *******************
We are pleased to announce several Special Sessions lined up, which you can submit papers to, in addition to the main IDEAL 2020 track:
Special Session 1: Data Generation and Data Pre-processing in Machine Learning Special Session 2: Optimization and Machine Learning for Industry 4.0 Special Session 3: Practical Applications of Deep Learning Special Session 4: New trends and challenges on Social Networks Analysis Special Session 5: Machine Learning in Automatic Control Special Session 6: Emerging Trends in Machine Learning Special Session 7: Machine Learning, Law and Legal Industry Special Session 8: Data Recovery Approach to Clustering and Interpretability Special Session 9: Automated learning for industrial applications Special Session 10: Machine learning towards smarter multimodal systems
******************* Workshops *******************
We are pleased to announce two workshops lined up, which you can submit papers to, in addition to the main IDEAL 2020 track:
Workshop 1: Workshop on Machine Learning in Smart Mobility Workshop 2: 3rd Workshop on Methods for Interpretation of Industrial Event Logs
******************* Paper Submission ******************* Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the Easychair online submission system (easychair.org/conferences/?conf=ideal2020). Papers should be within 8 pages but must not exceed 12 pages and must comply with the format of Springer LNCS/LNAI Proceedings (see www.springer.com/lncs ). All accepted papers will be included in the conference proceedings, to be published by Springer in the LNCS series, indexed by EI.
******************* Important dates ******************* Submission Deadline 30 June 2020
Notification of Acceptance 10 July 2020
Camera-Ready Copy Due 31 July 2020
Early Registration 31 July 2020
Conference Presentation 4-6 Nov. 2020
******************* Keynote Speakers *******************
João Gama University of Porto (Portugal)
Paulo Lisboa Liverpool John Moores University (UK) Head of the Engineering and Technology Research Institute
George Baciu Hong Kong Polytechnic University (CH)
******************* Special Issues *******************
Authors of selected papers from IDEAL 2020 will be invited to submit an extended and improved version to a special issue in different journals. – Neural Computing and Applications (JCR 2018: 4.664). – Ambient Intelligence and Humanized Computing (JCR 2018: 1.91). – Expert Systems (JCR 2018: 1.505).
******************* Best Paper Awards *******************
A Best Paper and a Best Paper Application Awards will be given based on several aspects such as originality, development, demonstration/presentation, and application.
******************* Organizing Committee *******************
Honorary chair – Hujun Yin, University of Manchester, UK
General chairs – Paulo Novais, Universidade do Minho, Portugal – Cesar Analide, Universidade do Minho, Portugal – David Camacho, Universidad Politécnica de Madrid, Spain
Program chairs – Cesar Analide, Universidade do Minho, Portugal – David Camacho, Universidad Politécnica de Madrid, Spain – Hujun Yin, University of Manchester, UK – Paulo Novais, Universidade do Minho, Portugal
Special Session/ Workshop chairs – Susana Nascimento, Universidade Nova de Lisboa, Portugal – Antonio J. Tallón-Ballesteros, University of Seville, Spain
******************* Contact ******************* For all general information concerning IDEAL 2020, contact: ideal2020.guimaraes@gmail.com

Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (BDL2020) (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/)
September 9, 2020, Porto, Portugal
BDL2020 will be held online (synchronous and/or asynchronous)
———————————— KEY DATES ————————————
Deadline for paper submission: ***June 28, 2020***
Author notification: July 22, 2020
Camera-ready version of papers: July 25, 2020

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

SBAC-PAD 2020
32nd IEEE International Symposium on Computer Architecture and High Performance Computing September 8-11, 2020 Porto, Portugal sbac2020@dcc.fc.up.pt
sbac2020.dcc.fc.up.pt/
www2.sbc.org.br/sbac/ (Historical acceptance rate).
—————————————————————————- ** NEW ** —————————————————————————- SBAC-PAD2020 deadline postponed to June 28, 2020 —————————————————————————-
Following the recommendations/guidelines from the World Health Organization (WHO), regarding the Coronavirus disease (COVID-19) outbreak, SBAC-PAD2020 will be converted to an online event.
However, the outbreak’s impact led to several requests for postponing significantly the deadlines. Following those requests, the SBAC-PAD2020’s organization decided to postpone the deadline for the abstract/paper submission to June 28, 2020.
Stay safe!
—————————————————————————- Aims and Scope —————————————————————————-
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. More information about the conference can be found at sbac2020.dcc.fc.up.pt/
—————————————————————————- Paper Submission —————————————————————————-
Authors are invited to submit original manuscripts on a wide range of high-performance computing areas, including computer architecture, systems software, languages and compilers, algorithms and applications.
Topics of interest include (but are not limited to): -Application-specific systems -Architecture and Programming Support for Emerging Domains (Big Data, Deep Learning) -Benchmarking, performance measurements, and analysis -Cloud, Grid, cluster, and peer-to-peer systems -Embedded and pervasive systems -GPUs, FPGAs and other 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
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 selected papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing.
Paper submission will be done through EasyChair: www.easychair.org/conferences/?conf=sbacpad2020
—————————————————————————- Important Dates —————————————————————————-
Abstract deadline: June 28, 2020 Paper deadline: June 28, 2020 Reviewing period: June 29 – July 15, 2020 Rebuttal period: July 15 – July 19, 2020 Author notification: July 22, 2020 Camera-ready submission: July 25, 2020
—————————————————————————- Organizing Committee —————————————————————————-
General Chairs Inês Dutra,ines@dcc.fc.up.pt (University of Porto, Portugal) Jorge Barbosa,jbarbosa@fe.up.pt (University of Porto, Portugal) Miguel Areias,miguel-areias@dcc.fc.up.pt (University of Porto, Portugal)
Program Co-chairs Jorge Barbosa (University of Porto, Portugal) Laurent Lefévre (Inria, ENS Lyon, University of Lyon, France) Lucia Drummond (Universidade Federal Fluminense, Brazil)
Track Chairs Computer Architecture Chair: José Moreira, IBM Thomas J. Watson Research Center, USA Edson Borin, University of Campinas, Brazil Felipe França, State University of Rio de Janeiro, Brazil Gabriel Falcão, University of Coimbra, Portugal Jairo Panetta, Aeronautics Institute of Technology, Brazil Jean-Luc Gaudiot, University of California, USA Jose Cano, University of Glasgow, UK Leandro Santiago, Federal Fluminense University, Brazil Lluc Alvarez, Barcelona Supercomputing Center, Spain Nuno Roma, University of Lisbon, Portugal Peter Hofstee, IBM Austin Research Laboratory, USA Rodolfo Azevedo, University of Campinas, Brazil Serif Yesil, University of Illinois, USA Wagner Meira, Federal University of Minas Gerais, Brazil
Networking and Distributed Systems Chair: Jesús Carretero, University Carlos III of Madrid, Spain Alexey Lastovetsky, University College Dublin, Ireland Angelos Bilas, FORTH-ICS and University of Crete, Greece Bruno Schulze, National Laboratory for Scientific Computing (LNCC), Brazil Carla Osthoff Barros, National Laboratory for Scientific Computing (LNCC), Brazil Domenico Talia, University of Calabria, Italy Emmanuel Jeannot, INRIA, France Jose Luis Gonzalez, Instituto Tecnológico de Ciudad Valles (ITV), México Leonel Sousa, Universidade de Lisboa, Portugal Marco Aldinucci, University of Torino, Italy Silvina Caino, University of Tennessee, USA
Parallel Applications and Algorithms Chair: Alba Melo, University of Brasília, Brazil Alfredo Goldman, University of São Paulo, Brazil Ananth Kalyanaraman, Washington State University, USA Anne Benoit, ENS Lyon‐LIP, France Antonio J. Peña, Barcelona Supercomputing Center, Spain Bertil Schmidt, University of Mainz, Germany Cristiana Bentes, State University of Rio de Janeiro, Brazil Cristina Boeres, Federal Fluminense University, Brazil Edson Caceres, Federal University of Mato Grosso do Sul, Brazil George Teodoro, Federal University of Minas Gerais, Brazil Gianfranco Bilardi, University of Padova, Italy Jose Nelson Amaral, University of Alberta, Canada Luciana Arantes, Université Pierre et Marie Curie-Paris, France Ricardo Rocha, University of Porto, Portugal Viktor Prasanna, University of Southern California, USA
Performance Evaluation Chair: Ariel Oleksiak, PoznaÅ„ Supercomputing and Networking Center, Poland Altino Sampaio, Instituto Politécnico do Porto, Portugal Aurélien Cavelan, University of Basel, Switzerland Frederic Suter, French National Institute of Nuclear and Particle Physics, France Georges Da Costa, Universite Toulouse III – Paul Sabatier, France Giovanni Agosta, Politecnico di Milano, Italy Hamid Arabnejad, Brunel University, UK Hongyang Sun, Vanderbilt University, USA Lucas Schnorr, Federal University of Rio Grande do Sul, Brazil Martin Schulz Technical University of Munich, Germany
System Software Chair: Jidong Zhai, Tsinghua University, China Ang Li, Pacific Northwest National Laboratory, USA Chi Zhou, Shenzhen University, China Christoph Kessler, Linköping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dandan Song, Beijing Institute of Technology, China Dazhao Cheng, University of North Carolina at Charlotte, USA Feng Zhang, Renmin University of China, China Guangyu Sun, Peking University, China Haikun Liu, Huazhong University of Science and Technology, China Mingyu Gao, Tsinghua University, China Philippe Navaux, Federal University of Rio Grande do Sul, Brazil Pradeep Kumar, William & Mary, USA Quan Chen, Shanghai Jiaotong University, China Shanjiang Tang, Tianjin University, China Shigang Li, ETH Zurich, Switzerland Teng Yu, Tsinghua University, China Vinod Rebello, Universidade Federal Fluminense, Brazil Zeyi Wen, National University of Singapore, Singapore Zhaoguo Wang, Shanghai Jiaotong University, China
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