SLSP 2020: extended submission deadline June 8*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
**********************************************************************************
8th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING
SLSP 2020
Cardiff, United Kingdom
October 14-16, 2020
Co-organized by:
School of Computer Science and Informatics
Cardiff University
Data Innovation Research Institute
Cardiff University
Institute for Research Development, Training and Advice (IRDTA), Brussels/London
https://irdta.eu/slsp2020/
**********************************************************************************
* Extended submission deadline: JUNE 8 *
AIMS:
SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between the two domains will hopefully happen. In SLSP 2020, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology.
Previous events took place in Tarragona, Grenoble, Budapest, Pilsen, Le Mans, Mons, and Ljubljana.
VENUE:
SLSP 2020 will take place in Cardiff, the capital of Wales and its political, commercial and cultural centre. The venue will be:
Council Chamber
Glamorgan Building
King Edward VII Ave
Cathays Park
Cardiff
CF10 3WT
https://www.cardiff.ac.uk/visit/accessibility/cathays-park-campus/glamorgan…
SCOPE:
The conference invites submissions discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to:
Anaphora and coreference resolution
Audio event detection
Authorship identification, plagiarism, and spam filtering
Biases, explainability and interpretability in language and speech processing
Corpora and resources for speech and language
Data mining, term extraction, and semantic web
Dialogue systems and spoken language understanding
Information retrieval and information extraction
Knowledge representation and ontologies
Lexicons and dictionaries
Machine translation and computer-aided translation
Multimodal technologies
Natural language understanding and generation
Neural representation of speech and language
Opinion mining and sentiment analysis
Part-of-speech tagging, parsing, and semantic role labelling
Question-answering systems for speech and text
Speaker identification and verification
Speech recognition and synthesis
Spelling correction
Text categorization and summarization
Text normalization and inverted text normalization
Text-to-speech
User modeling
Wake word detection
STRUCTURE:
SLSP 2020 will consist of:
invited lectures
peer-reviewed contributions
posters
KEYNOTE SPEAKERS:
Dilek Hakkani-Tür (Amazon), Neural Response Generators for Social Conversations
John H.L. Hansen (University of Texas, Dallas), Challenges and Advancements in Speaker Diarization & Recognition for Naturalistic Data Streams
Mark A. Hasegawa-Johnson (University of Illinois, Urbana-Champaign), Automatic Discovery of Phoneme Inventories for Speech Technology in Under-resourced Languages
PROGRAMME COMMITTEE:
Mahmoud Al-Ayyoub (Jordan University of Science and Technology, JO)
Chitta Baral (Arizona State University, US)
Jon Barker (University of Sheffield, UK)
Jean-François Bonastre (University of Avignon, FR)
Fethi Bougares (University of Le Mans, FR)
Felix Burkhardt (audEERING, DE)
Nicoletta Calzolari (National Research Council, IT)
Bill Campbell (Amazon, US)
Angel Chang (Simon Fraser University, CA)
Kenneth W. Church (Baidu Research, US)
Philipp Cimiano (Bielefeld University, DE)
Carol Espy-Wilson (University of Maryland, US)
Nikos Fakotakis (University of Patras, GR)
Marcello Federico (Amazon AI, US)
Robert Gaizauskas (University of Sheffield, UK)
Ondřej Glembek (Brno University of Technology, CZ)
Ralph Grishman (New York University, US)
Thomas Hain (University of Sheffield, UK)
Gareth Jones (Dublin City University, IE)
Martin Karafiát (Brno University of Technology, CZ)
Philipp Koehn (Johns Hopkins University, US)
Haizhou Li (National University of Singapore, SG)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Seiichi Nakagawa (Chubu University, JP)
Fuchun Peng (Facebook, US)
Stephen Pulman (University of Oxford, UK)
Matthew Purver (Queen Mary University of London, UK)
Paolo Rosso (Technical University of Valencia, ES)
Diana Santos (University of Oslo, NO)
Irena Spasić (Cardiff University, UK)
Tomek Strzalkowski (Rensselaer Polytechnic Institute, US)
Erik Tjong Kim Sang (Netherlands eScience Center, NL)
Tomoki Toda (Nagoya University, JP)
Isabel Trancoso (Instituto Superior Técnico, PT)
K. Vijay-Shanker (University of Delaware, US)
Hsin-Min Wang (Academia Sinica, TW)
Andy Way (Dublin City University, IE)
Caiming Xiong (Salesforce, US)
Steve Young (University of Cambridge, UK)
Wlodek Zadrozny (University of North Carolina Charlotte, US)
Guodong Zhou (Soochow University, CN)
ORGANIZING COMMITTEE:
Luis Espinosa-Anke (Cardiff)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
David Silva (London, co-chair)
Irena Spasić (Cardiff, co-chair)
SUBMISSIONS:
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Upload submissions to:
https://easychair.org/conferences/?conf=slsp2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS/LNAI series will be available by the time of the conference.
A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
REGISTRATION:
The registration form can be found at:
https://irdta.eu/slsp2020/registration/
DEADLINES (all at 23:59 CET):
Paper submission: June 8, 2020 – EXTENDED -
Notification of paper acceptance or rejection: July 6, 2020
Final version of the paper for the LNCS/LNAI proceedings: July 15, 2020
Early registration: July 15, 2020
Late registration: September 30, 2020
Submission to the journal special issue: January 16, 2021
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGMENTS:
School of Computer Science and Informatics, Cardiff University / Prifysgol Caerdydd
Data Innovation Research Institute, Cardiff University / Prifysgol Caerdydd
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
BigDat 2020 Autumn: early registration June 2*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
**********************************************
7th INTERNATIONAL SCHOOL ON BIG DATA
BigDat 2020 Autumn
Beersheba, Israel
October 25-29, 2020
Co-organized by:
Ben-Gurion University of the Negev
Department of Software and Information Systems Engineering
Data Science Research Center
Institute for Research Development, Training and Advice (IRDTA)
Brussels / London
https://irdta.eu/bigdat2020a/
**********************************************
--- Early registration deadline: June 2, 2020 ---
**********************************************
SCOPE:
BigDat 2020 Autumn 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 big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona.
Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 24 four-hour and a half courses, 2 keynote lectures and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
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:
Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 Autumn 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 and discuss with major researchers, industry leaders and innovators.
VENUE:
BigDat 2020 Autumn will take place in Beersheba, the largest city in the Negev desert of southern Israel and an important technology center. The venue will be:
Ben-Gurion University of the Negev
Marcus Family Campus
https://in.bgu.ac.il/en/Pages/interactive.aspx
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.
KEYNOTE SPEAKERS:
tba
PROFESSORS AND COURSES: (to be completed)
Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data
Thomas Bäck & Hao Wang (Leiden University), [introductory/intermediate] Data Driven Modeling and Optimization for Industrial Applications
Paul Bliese (University of South Carolina), [introductory/intermediate] Using R for Mixed-effects (Multilevel) Models
Altan Cakir (Istanbul Technical University), [intermediate] Big Data Analytics with Apache Spark
Edward Chang (Stanford University), [intermediate] Artificial Intelligence for Disease Diagnosis and Precision Surgery
Michael X. Cohen (Radboud University Nijmegen), [introductory] Dimension Explosion and Dimension Reduction in Brain Electrical Activity
Ian Fisk (Flatiron Institute), [introductory] The Infrastructure to Support Data Science
Michael Freeman (University of Washington), [intermediate] Interactive Data Visualization Using D3 + Observable
David Gerbing (Portland State University), [introductory] Derive Meaning from Data with R Visualizations
Yifan Hu (Yahoo Research), [introductory/advanced] Data Visualization and Machine Learning
Wagner A. Kamakura (Rice University), [intermediate] Advanced Business Analytics using Excel Addins
Ravi Kumar (Google), [intermediate/advanced] Clustering for Big Data
Victor O.K. Li (University of Hong Kong), [intermediate] Deep Learning and Applications
Panos Pardalos (University of Florida), [intermediate/advanced] Optimization and Data Sciences Techniques for Large Networks
Valeriu Predoi (University of Reading), [introductory] A Beginner's Guide to Big Data Analysis: How to Connect Scientific Software Development with Real World Problems
Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source Columnar Databases
Sebastián Ventura (University of Córdoba), [intermediate/advanced] Supervised Descriptive Pattern Mining
Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Deep Learning for Text Mining
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(a)irdta.eu by October 17, 2020.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of big data 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 participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 17, 2020.
EMPLOYER SESSION:
Firms searching for personnel well skilled in big data 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(a)irdta.eu by October 17, 2020.
ORGANIZING COMMITTEE:
Stavi Baram (Beersheba)
Mark Last (Beersheba)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
Lior Rokach (Beersheba, co-chair)
Bracha Shapira (Beersheba, co-chair)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
https://irdta.eu/bigdat2020a/registration/
The selection of up to 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 is 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.
Refunding of registration fees will not be possible. However, an exception will be made in case the event must be postponed due to the continuation of the coronavirus crisis in Autumn (which is a scenario the organizers do not expect).
ACCOMMODATION:
Suggestions for accommodation will be available in due time.
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david(a)irdta.eu
ACKNOWLEDGMENTS:
Ben-Gurion University of the Negev
Institute for Research Development, Training and Advice (IRDTA) – Brussels/London
TPNC 2020: 1st call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
****************************************************************************
9th INTERNATIONAL CONFERENCE ON THE THEORY AND PRACTICE OF NATURAL COMPUTING
TPNC 2020
Taoyuan, Taiwan
December 7-9, 2020
Co-organized by:
Chung Yuan Christian University
College of Science
Institute for Research Development, Training and Advice - IRDTA
Brussels / London
https://irdta.eu/tpnc2020/
****************************************************************************
AIMS:
TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2020 will reserve significant room for young scholars at the beginning of their career and particular focus will be put on methodology. The conference aims at attracting contributions to nature-inspired models of computation, synthesizing nature by means of computation, nature-inspired materials, and information processing in nature.
Previous events took place in Tarragona, Cáceres, Granada, Mieres, Sendai, Prague, Dublin and Kingston.
VENUE:
TPNC 2020 will take place in Taoyuan, in northwestern Taiwan, neighboring Taipei and home to many industrial parks and tech company headquarters. The venue will be:
tba
SCOPE:
Topics include, but are not limited to:
- Theoretical contributions to:
affective computing
ambient intelligence
ant colony optimization
approximate reasoning
artificial immune systems
artificial life
cellular automata
cognitive computing
cognitive robotics
collective intelligence
combinatorial optimization
computational intelligence
computing with words
developmental systems
DNA computing
evolutionary algorithms
evolutionary computing
evolutionary game theory
fuzzy logic
fuzzy sets
fuzzy systems
genetic algorithms
genetic programming
global optimization
granular computing
heuristics
intelligent agents
intelligent control
intelligent manufacturing
intelligent systems
intelligent user interfaces
machine intelligence
membrane computing
metaheuristics
molecular programming
multiobjective optimization
neural networks
quantum communication
quantum computing
quantum information
rough sets
soft computing
swarm intelligence
swarm robotics
unconventional computing
- Applications of natural computing to:
algorithmics
bioinformatics
cryptography
design
economics
graphics
hardware
human-computer interaction
knowledge discovery
learning
logistics
medicine
natural language processing
pattern recognition
planning and scheduling
programming
telecommunications
web intelligence
A flexible "theory to/from practice" approach would be the perfect focus for the expected contributions.
STRUCTURE:
TPNC 2020 will consist of:
- invited talks
- peer-reviewed contributions
- posters
KEYNOTE SPEAKERS:
tba
PROGRAMME COMMITTEE: (to be completed)
Erik Cambria (Nanyang Technological University, SG)
Shyi-Ming Chen (National Taiwan University of Science and Technology, TW)
Leroy Cronin (University of Glasgow, UK)
Yong Deng (University of Electronic Science and Technology of China, CN)
Étienne Kerre (Ghent University, BE)
Gui Lu Long (Tsinghua University, CN)
Jie Lu (University of Technology Sydney, AU)
Robert Mann (University of Waterloo, CA)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Luis Martínez López (University of Jaén, ES)
Seyedali Mirjalili (Torrens University Australia, AU)
Saeid Nahavandi (Deakin University, AU)
Matjaž Perc (University of Maribor, SI)
Patrick Siarry (Paris-Est Créteil University, FR)
Dan Simon (Cleveland State University, US)
Andrzej Skowron (University of Warsaw, PL)
Stephen Smith (University of York, UK)
Ponnuthurai N. Suganthan (Nanyang Technological University, SG)
Miin-Shen Yang (Chung Yuan Christian University, TW)
Simon X. Yang (University of Guelph, CA)
Yi Zhang (Sichuan University, CN)
ORGANIZING COMMITTEE:
Meng-Hui Li (Taoyuan, co-chair)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
David Silva (London, co-chair)
Miguel A. Vega-Rodríguez (Cáceres)
Miin-Shen Yang (Taoyuan, co-chair)
SUBMISSIONS:
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Upload submissions to:
https://easychair.org/conferences/?conf=tpnc2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference.
A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
REGISTRATION:
The registration form can be found at:
https://irdta.eu/tpnc2020/registration/
DEADLINES (all at 23:59 CET):
Paper submission: July 25, 2020
Notification of paper acceptance or rejection: August 29, 2020
Final version of the paper for the LNCS proceedings: September 5, 2020
Early registration: September 5, 2020
Late registration: November 23, 2020
Submission to the journal special issue: March 9, 2021
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGMENTS:
Chung Yuan Christian University
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
BigDat 2020 Autumn: early registration May 9*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
**********************************************
7th INTERNATIONAL SCHOOL ON BIG DATA
BigDat 2020 Autumn
Beersheba, Israel
October 25-29, 2020
Co-organized by:
Ben-Gurion University of the Negev
Department of Software and Information Systems Engineering
Data Science Research Center
Institute for Research Development, Training and Advice (IRDTA)
Brussels / London
https://irdta.eu/bigdat2020a/
**********************************************
--- Early registration deadline: May 9, 2020 ---
**********************************************
SCOPE:
BigDat 2020 Autumn 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 big data. Previous events were held in Tarragona, Bilbao, Bari, Timișoara, Cambridge and Ancona.
Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 24 four-hour and a half courses, 2 keynote lectures and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
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:
Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 Autumn 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 and discuss with major researchers, industry leaders and innovators.
VENUE:
BigDat 2020 Autumn will take place in Beersheba, the largest city in the Negev desert of southern Israel and an important technology center. The venue will be:
Ben-Gurion University of the Negev
Marcus Family Campus
https://in.bgu.ac.il/en/Pages/interactive.aspx
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.
KEYNOTE SPEAKERS:
tba
PROFESSORS AND COURSES: (to be completed)
Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data
Thomas Bäck & Hao Wang (Leiden University), [introductory/intermediate] Data Driven Modeling and Optimization for Industrial Applications
Paul Bliese (University of South Carolina), [introductory/intermediate] Using R for Mixed-effects (Multilevel) Models
Altan Cakir (Istanbul Technical University), [intermediate] Big Data Analytics with Apache Spark
Michael X. Cohen (Radboud University Nijmegen), [introductory] Dimension Explosion and Dimension Reduction in Brain Electrical Activity
Ian Fisk (Flatiron Institute), [introductory] The Infrastructure to Support Data Science
Michael Freeman (University of Washington), [intermediate] Interactive Data Visualization Using D3 + Observable
David Gerbing (Portland State University), [introductory] Derive Meaning from Data with R Visualizations
Yifan Hu (Yahoo Research), [introductory/advanced] Data Visualization and Machine Learning
Ravi Kumar (Google), [intermediate/advanced] Clustering for Big Data
Victor O.K. Li (University of Hong Kong), [intermediate] Deep Learning and Applications
Panos Pardalos (University of Florida), [intermediate/advanced] Optimization and Data Sciences Techniques for Large Networks
Valeriu Predoi (University of Reading), [introductory] A Beginner's Guide to Big Data Analysis: How to Connect Scientific Software Development with Real World Problems
Alexandre Vaniachine (VirtualHealth), [intermediate] Open-source Columnar Databases
Sebastián Ventura (University of Córdoba), [intermediate/advanced] Supervised Descriptive Pattern Mining
Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Deep Learning for Text Mining
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(a)irdta.eu by October 17, 2020.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of big data 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 participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by October 17, 2020.
EMPLOYER SESSION:
Firms searching for personnel well skilled in big data 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(a)irdta.eu by October 17, 2020.
ORGANIZING COMMITTEE:
Stavi Baram (Beersheba)
Mark Last (Beersheba)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
Lior Rokach (Beersheba, co-chair)
Bracha Shapira (Beersheba, co-chair)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
https://irdta.eu/bigdat2020a/registration/
The selection of up to 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 is 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.
Refunding of registration fees will not be possible. However, an exception will be made in case the event must be postponed due to the continuation of the coronavirus crisis in Autumn (which is a scenario the organizers do not expect).
ACCOMMODATION:
Suggestions for accommodation will be available in due time.
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david(a)irdta.eu
ACKNOWLEDGMENTS:
Ben-Gurion University of the Negev
Institute for Research Development, Training and Advice (IRDTA) – Brussels/London
