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• Raising Heretics: Teaching effective scepticism using data science

  • When
    26 May 2020
  •  
    6:00 PM (UTC+10:00)
  • Location
    Online, via Zoom

  Register

  A public lecture by Dr Linda McIver

  Summary:

  Much of our Science, Technology, Engineering and Mathematics (STEM) education starts from a foundation of facts and known answers. This teaches our kids that the point of STEM is to Get The Right Answer, whereas the best thing about STEM disciplines is actually fixing things and solving problems. In this talk I will show how ADSEI is dedicated to raising Heretics, and why Heresy is something we desperately need right now, both in the data science industry and the world as a whole.

  Brief bio:

  
  

  Dr Linda McIver is the Founder and Executive Director of the Australian Data Science Education Institute (ADSEI), a registered charity dedicated to ensuring that all Australian students have the chance to learn data science and data literacy skills in the context of authentic projects with real impact. Linda has a PhD in computer science education, and extensive experience teaching at both tertiary and secondary levels. Through ADSEI, Linda now creates engaging data science projects to empower students to use technology and data science skills to make positive change in their own communities.

  Zoom link:

  The link for the Zoom session will be made available via email, upon registration.

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• Queensland Branch Meeting: Searching for dark matter and new physics with GAMBIT

  • When
    27 May 2020
  •  
    3:30 PM (UTC+10:00)
  • Location
    Via Zoom, please register to get the link

  Register

  I will describe GAMBIT, the Global and Modular Beyond-the-Standard-Model Inference Tool, and a few of its key results so far. GAMBIT is a large-scale computational framework and 60-person collaboration of physicists, astronomers, statisticians and computer scientists, designed for composite likelihood analysis of different theories for the identity of dark matter and new particles. It includes detailed likelihoods and prediction calculations for signals at experiments ranging from the Large Hadron Collider to gamma-ray and antimatter telescopes, direct dark matter searches in deep mines, and a neutrino telescopes embedded in the Antarctic ice sheet, as well as an extensive suite of sampling algorithms.

  Biography: Pat is a particle and astroparticle phenomenologist. He likes to stick his nose into particle theory and experiment, cosmology, solar and stellar physics, high energy astrophysics, statistics, computational physics, supercomputing and other things - usually two or three at a time. He leads the GAMBIT Community, a bunch of 60-odd other like-minded types from all over particle and astrophysics, stats and computer science. Pat moved to UQ in September 2019 as a Senior Lecturer in the Astrophysics Group, and will be starting as an ARC Future Fellow this month. Before moving to UQ, he was an Ernest Rutherford Fellow and Senior Lecturer in the Fundamental Physics Section at Imperial College, a Banting Fellow in the High Energy Physics Theory group at McGill University, a PhD student in the Cosmology, Astroparticle Physics and String Theory Group at the Oskar Klein Centre in Stockholm, and an Honours student at the Mt Stromlo Observatory at ANU.

  

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• Webinar: A short overview into “how to make a learning healthcare system work”: from linking data, machine learning to ethics

  • When
    27 May 2020
  •  
    5:00 PM - 6:00 PM (UTC+10:00)
  • Location
    via Zoom, time stated is AEST
  • Spaces left
    192

  Register

  The Biostatistics and Bioinformatics Section has an exciting international speaker, Katrien Groenhof from the Netherlands, delivering a webinar for SSA members this month.

  Title: A short overview into “how to make a learning healthcare system work”: from linking data, machine learning to ethics 

  Date: Wednesday 27^th May,  5pm AEST

  Abstract:

  In current day practice, healthcare professionals are set up with the almost impossible task to translate the daily growing amount of evidence and combine it with all clinical parameters from their patients to what is best.On top of that, value improvement in healthcare is emerging as a response to the growing healthcare costs. The complex balance between multimorbidity, polypharmacy, and potential harms and benefits of interventions, makes care nowadays prone to off label treatment and non-adherence to guidelines, potentially leading to more preventable risk and disease in patients. This sparked the interest into a care system that better integrates clinical practice and evidence: a Learning Healthcare System. A Learning Healthcare System is a continuous cycle of data collection (from routine clinical care in the EHRs), data analysis, interpretation of results, and feedback of potential improvements for patients, healthcare professionals, and policymakers, and implementation of improvements. Using the example of cardiovascular risk management, I will give an overview on how routine care data can be used to improve care, how linkage of data sources is important (and how to do this), and what challenges and pitfalls we encountered.

  Please feel free to email me if you have any burning questions in advance you would like to see answered (t.k.j.groenhof@umcutrecht.nl), I will try to squeeze those into the presentation right away. But I will also make sure to have enough time for questions and discussion. Looking forward to “meet” you!

  Bio:

  Katrien Groenhof is about to obtain her PhD in epidemiology (defense date postponed due to corona virus measures) after she worked 3 years at the Julius Center for Health Sciences and Primary Care of the University Medical Center Utrecht under supervision of Prof. dr. M.L. Bots, Prof. dr. F.W. Asselbergs, Dr. A.T. Lely, and Dr. S. Haitjema. Her PhD thesis focusses around the development of a learning healthcare system for cardiovascular risk management. This project connects all care professionals involved in cardiovascular care, but also connects different fields of expertise: from clinicians to hard core data scientists. Katrien combined her PhD trajectory with the Postgraduate Master in Epidemiology at Utrecht University, specializing in clinical epidemiology. She was granted the Frits the Waard Penning for original and outstanding research in epidemiology for her work on cardiovascular risk factor trajectories after hypertensive disorders of pregnancy in 2019. As learning is an essential value to her research, so it is to Katrien as a medical professional: she participated in many teaching activities for medical students and the junior epidemiology association and obtained her Basic Teaching Qualification (BKO) in 2019. She now works as a resident in obstetrics and gynecology in Meander Medical Center Amersfoort and still really enjoys to bring questions from “the field” to the “scientific bench”, solving questions that might directly improve daily care.

  To register

  This event is for members of SSA only. It is free, but you will need to register. After registering, you will receive a confirmation email containing information about joining the meeting. 

  If you have any questions, please contact Marie-Louise Rankin. 

  Would you please note that the times stated are AEST? 

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• Virtual Coffee - Member Catch Up and Discussion

  • When
    28 May 2020
  •  
    11:00 AM - 12:00 PM (UTC+10:00)
  • Location
    via Zoom - time stated is AEST

  Register

  Our first virtual Coffee Catch Up went so well that we are doing it again!

  Grab your favourite beverage and join other members and myself for a virtual coffee catch up on

  Thursday, 28 May 2020, 11am AEST.

  This will be a casual get-together where going off-topic is actually encouraged!

  I will be facilitating the meeting and I look forward to discussing how you have dealt with the challenges thrown at you with COVID-19.

  To register for our virtual catch-up please click here. Once you have registered, you will receive a confirmation email with the Zoom link for the meeting. 

  I look forward to speaking with many of our members next week!

  Until then, stay safe.
  

  Marie-Louise Rankin
  Executive Officer

  
  

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• Queensland Branch meeting: "MIGHTY MAPS: Showcasing estimate uncertainty"

  • When
    2 Jun 2020
  •  
    4:00 PM (UTC+10:00)
  • Location
    Zoom link will be sent on registration

  Register

  MIGHTY MAPS: Showcasing estimate uncertainty

  Maps may inform or misinform. Conveying the uncertainty associated with spatial estimates is important to prevent misinforming. Uncertainty provides a way to communicate where data is lacking or where a decision maker should focus their efforts in terms of ‘value for investment’. However, despite its importance, uncertainty is less commonly provided on/with maps.

  This 2-part talk will showcase two diverse examples of incorporating uncertainty in mapping: the Australian Cancer Atlas and Vizumap.

  The Australian Cancer Atlas had a mandate to display the uncertainty around each estimate in insightful and innovative ways. Released in September 2018, and freely accessible to all, it remains unique among online cancer atlases. This talk will demonstrate the novel data visualisations, intuitive map display and helpful features.

  Vizumap is an R package to make visualising uncertainty in spatial data more accessible to researchers wishing to communicate uncertainty from spatial information. The methods in Vizumap include the bivariate choropleth map, map pixelation, glyph rotation, and the exceedance probability map. This talk will showcase each of these methods and demonstrate how to use the Vizumap package.

  Speaker Bios

  Dr Susanna Cramb is a Strategic Research Fellow at the Institute of Health and Biomedical Innovation, Queensland University of Technology. She is also Vice President (Memberships), Statistical Society of Australia. Her research interests include investigating the spatial and spatio-temporal patterns of chronic disease in Queensland and across Australia. Susanna has also been recognised as a Superstar of STEM by Science and Technology, Australia.

  Lydia Lucchesi is a PhD student at Australian National University. She received a Bachelor of Arts in Statistics from the University of Missouri, Columbia, USA, in 2017. Upon graduating, Lydia visited CSIRO’s Data61 to collaborate on the development of the Vizumap R package. From 2017-2019, she completed a Post-Bachelor Fellowship at the Institute for Health Metrics and Evaluation in Seattle, USA. This included a practicum experience at the National Data Management Center at the Ethiopian Public Health Institute in Addis Ababa, Ethiopia. She enjoys coding in R to create data visualisations.

  
  

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• Queensland branch meeting: Leveraging statistical shapes in genomics, looking beyond what’s Normal

  • When
    16 Jun 2020
  •  
    3:30 PM (UTC+10:00)
  • Location
    Zoom, please register to get the link

  Register

  Leveraging statistical shapes in genomics: looking beyond what’s Normal

  In genomics, we often assume that continuous data, such as gene expression, follows a single type of statistical distribution. However, we rarely stop to question the validity of this assumption, and whether it applies uniformly to every gene measured in the genome. This talk includes studies from my group where a focus on the shape of gene expression distributions, specifically shape diversity, revealed new insights into biology. These studies highlight the value of studying the shape of a gene’s expression distribution as a means to model heterogeneity in the cancer genome. These insights would not have been uncovered using standard approaches that assume a single distribution applies to everyone in a patient cohort. Collectively, this work raises new questions and opportunities to investigate how diversity in statistical shapes can help explain heterogeneity in genomics.

  Biography

  Associate Professor Jessica Mar is a Group Leader at the Australian Institute for Bioengineering and Nanotechnology at the University of Queensland in Brisbane. She leads a computational biology group that investigates how variability in the genome contributes to the regulation of diseases like cancer, or phenotypes like pluripotency in stem cells. A/Prof Mar received her PhD in Biostatistics from Harvard University in 2008. She was a postdoctoral fellow at the Dana-Farber Cancer Institute in Boston (2008-11), and an Assistant Professor at Albert Einstein College of Medicine in New York (2011-2018).

  Having only just relocated back to Australia as an ARC Future Fellow last year in July, her research program has a dual focus that concentrates on modelling the aging process using single cell bioinformatics, and understanding cancer genomics through novel statistical methods. A/Prof Mar has received several awards, including a Fulbright scholarship (2003), the Metcalf Prize for Stem Cell Research from the National Stem Cell Foundation of Australia (2017), and the LaDonne H. Shulman Award for Teaching Excellence at Albert Einstein College of Medicine (2017).

  
  

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• Webinar: Getting to know our “cell mates”: A practical approach to microbiome analysis through a biostatistician’s lens.

  • When
    19 Jun 2020
  •  
    12:00 PM - 1:30 PM (UTC+10:00)
  • Location
    via Zoom, check local time, time stated is AEST

  Register

  The Statistical Society of Australia is pleased to announce the following webinar:

  Getting to know our “cell mates”: A practical approach to microbiome analysis through a biostatistician’s lens.

  ·         When: 19 June 2020 12:00 PM – 1:30 PM (AEST)
  

  ·         Location: via Zoom, check local time, time stated is AEST

  About this webinar

  At one point it was believed that we have 10 times more bacteria than human cells leading to the claim that we are more bacteria than human. It is thus natural that we try and learn more about our living arrangements with our mates. Microbiome research is one of the many fields studying the relationship between humans and bacterial. The field was given a boost in 2008 with the birth of human microbiome project, which facilitates characterisation of the human microbiota to further our understanding of how the microbiome impacts human health and disease. Since then, studies collecting samples for characterisation of microbiome in different area of the body have increased exponentially. So far, a lot has been learnt on how our well-being (or not) is influenced by microbiome. Recent interesting findings include the suspected link between microbiome and autism spectrum.

  This webinar will be a walk-through of stages of extracting insights from microbiome data. Using a practical example, we will start with raw reads from microbiome samples and transform them into information that can be readily used by policy makers and digestible by the general population. Focus will be on the basic concepts and implementation rather than technical details. References will be provided for those interested in technical details and further reading.

  Topics to be discussed will include:

  • Processing of raw reads.
  • Hypothesis definition: Alpha diversity vs Beta diversity.
  • Exploration and visualization of microbiome data.
  • Statistical methods for analysis of microbiome data and their implementation in R.

  
  About the presenter
  Dr Elasma Milanzi obtained her Doctor of Science in mathematics (Biostatistics) from Universiteit Hasselt, in Belgium. Her areas of interest include; methods and applications for mixed models, survival analysis, dimension reduction and microbiome data. She currently does independent statistical consulting and training, is an honorary research fellow in Biostatistics with the university of Melbourne and heads the Analytics and Research team at the start-up company, Halogen Health. She has more than 5 years’ experience in lecturing biostatistics subjects to postgraduate students at top universities in Australia and Europe. She became interested in microbiome analysis during her collaboration with the Allergy and lung health unit at the University of Melbourne.

  To register

  This is a free event, but you will need to register. After registering, you will receive a confirmation email containing information about joining the meeting. 

  If you have any questions, please contact Mark Wicht.

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• 7th International Statistical Ecology Conference- external event

  • Start
    22 Jun 2020
  •  
    (UTC+10:00)
  • End
    26 Jun 2020
  •  
    (UTC+10:00)
  • Location
    Sydney

  This is the first time ISEC will be held in the Southern Hemisphere! Sydney is home to the Sydney Opera House, Bondi Beach, the Tim Tam, half-decent weather even in winter, and it will be whale season...

  Confirmed plenary speakers:

  - Christl Donnelly (Imperial College, London)
  - David Borchers (St Andrews)
  - Di Cook (Monash)
  - Kiona Ogle (Northern Arizona)
  - Mark Bravington (CSIRO)

  Invited sessions on:

  - Reproducible Science
  - Methods for high throughput community data
  For more details go to http://www.isec2020.org/

  There will be a Skills Showcase the day before the conference, with introductory tutorials running in parallel on a diverse range of topics, including Spatial Capture-recapture, Learning Python, Disease modelling and more. As usual, there will be short courses in the days before the conference.

  
  

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• Workshop of the 20th International Conference on Computational Science and Applications

  • Start
    1 Jul 2020
  •  
    (UTC+02:00)
  • End
    4 Jul 2020
  •  
    (UTC+02:00)
  • Location
    Cagliari, Italy

  Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020)

  1-4 July 2020 in Cagliari, Italy

  The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences.

  Topics of interest include (but are not limited to):

  * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc

  * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences.

  IMPORTANT DATES:

  29 February 2020: Deadline for abstract and paper submission to the CAS Workshop.

  15 April 2020: Notification of Acceptance.

  8 May 2020: Early-bird Registration ends.

  8 May 2020: Submission deadline for the final version of the Proceeding Papers.

  1-4 July 2020: ICCSA 2020 Conference.

  
  

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• 30th International Biometric Conference (IBC)

  • Start
    5 Jul 2020
  •  
    (UTC+10:00)
  • End
    10 Jul 2020
  •  
    (UTC+10:00)
  • Location
    Seoul, Korea

  Deferred until 2021. dates to be advised.

  The International Program Committee (IPC) of the International Biometric Society’s (IBS) 30thInternational Biometric Conference (IBC2020) calls for Invited Session proposals. IBC2020 will be held 5-10 July 2020 at the COEX (Convention & Exhibition Center), Seoul, Korea.
  

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• The 35th International Workshop on Statistical Modelling (IWSM2020)

  • Start
    19 Jul 2020
  •  
    (UTC+10:00)
  • End
    24 Jul 2020
  •  
    (UTC+10:00)
  • Location
    Basque Center for Applied Mathematics (BCAM), Bilbao- Spain

  The 35th edition of the International Workshop on Statistical Modelling will be held in Bilbao, Basque Country (Spain) from 19 to 24 July 2020. It will be hosted by the Basque Center for Applied Mathematics (BCAM) and the University of the Basque Country (UPV/EHU). There will be a short course on "Bayesian spatio-temporal modeling" by Virgilio Gómez Rubio on 19 July followed by the main meeting 20-24 July.

  The IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense, involving both academic and professional statisticians and data analysts. Since its first edition, the spirit of the workshop has always been to focus on problems motivated by real life data and on solutions that make novel contributions to the subject.

  The atmosphere of the workshops is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling. As a sign of positive feedback the IWSMs report many returning participants.

  Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged.

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• Data and Analytics Leaders Exchange 2020

  • Start
    24 Aug 2020
  •  
    (UTC+10:00)
  • End
    26 Aug 2020
  •  
    (UTC+10:00)
  • Location
    Gold Coast, Australia

  Imagine the benefit you would get from joining a group of 50 peers - who share your biggest challenges - to share stories, network and exchange mission critical information you won’t get anywhere else. Here’s a taste of what you can expect to learn about at the Data & Analytics Leaders Exchange:

  - Developing An Enterprise-Wide Data Governance Strategy And Architecture
  - Enabling Data-Driven Decision Making Across The Business
  - Building Organisational Capability For Advanced Analytics
  - Attracting, Retaining, And Up-Skilling Staff For Digitalisation And Technological Developments
  - Maintaining Compliance With GDPR
  - Improving Business Function By Effectively Leveraging Data Insights

  Request an invite

   

  
  

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• Mathematics without Borders

  • Start
    28 Sep 2020
  •  
    (UTC+02:00)
  • End
    29 Sep 2020
  •  
    (UTC+02:00)
  • Location
    Strasbourg, France

   The Centennial of the International Mathematical Union

  As you may know, the IMU was founded in September 1920 in Strasbourg, France. On  the occasion of the centennial of the IMU, we are organizing the conference               

   Mathematics without Borders
  The Centennial of the International Mathematical Union             

  You are cordially invited to participate in this conference. We will get back

  with further information regarding registration, accommodation, etc as

  soon as it is available. 

   

  
  

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• WA Young Statisticians Workshop 2020

  • When
    30 Sep 2020
  •  
    9:00 AM - 5:00 PM (UTC+08:00)
  • Location
    Perth

  UPDATE: We are currently exploring the format and pricing of this meeting due to the COVID-19 situation. Registration is therefore temporarily disabled.

  Don’t miss out on your chance to meet other young statisticians and leading members of WA’s statistical and data science community. Speakers from industry and academia.

  Young Statisticians are invited to submit an abstract to present a short talk or poster on your research with statistics to win prizes! Please send your queries to ysmurdoch@gmail.com

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• 7th Biennial ACSPRI Social Science Methodology Conference 2020

  • Start
    2 Dec 2020
  •  
    (UTC+11:00)
  • End
    4 Dec 2020
  •  
    (UTC+11:00)
  • Location
    Sydney, Australia

  The Australian Consortium of Social and Political Research Incorporated (ACSPRI) will host it's 7th Social Science Methodology Conference on the 2nd to 4th of December at The University of Sydney.

  A unique feature of this conference is that it is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts.

  The conference is organised around four themes:

  1. Research paradigms and designs;
  2. Research methods and techniques;
  3. Research technology and tools;
  4. Datasets, data collections and data archiving.

  There will be two types of submissions considered:

  1. Presentations where an abstract is reviewed (abstract in the conference proceedings).
  2. Posters - including a student poster competition (abstract in the conference proceedings).

  More details will appear on the conference website soon. 

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• SSA-Event: ANZSC2021- Modelling Data for a Brighter Future

  • Start
    5 Jul 2021
  •  
    8:00 AM (UTC+10:00)
  • End
    9 Jul 2021
  •  
    6:00 PM (UTC+10:00)
  • Location
    Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

  

  
  

  Welcome to the ANZSC 2021 Conference
  

  The organising committee warmly invites you to the 2021 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 5th to the 9th of July 2021.

  This conference brings together four leading statistical communities in the region – the Statistical Society of Australia, the New Zealand Statistical Association, the International Institute of Business Analysis (Special Interest Group for Business Analytics), and the Australian Conference on Teaching Statistics.

  The aim of this conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

  With these four societies working together there will be strong program components of interest to a wide diversity of academic, government, and industry colleagues. This includes the full spectrum of delegates from those advancing theoretical methodology to those working on industry applications (in traditional and non-traditional statistical areas). Of particular interest is how Big Data continues to impact all of us.

  Information on Keynote Speakers and the Conference program will be available shortly so watch this space for updates.

  The conference will be held at the Gold Coast Convention and Exhibition Centre (GCCEC) situated in the heart of the Gold Coast. From GCCEC, Surfers Paradise (the social hub of the Gold Coast) is 5km to the North, the Star Casino and Pacific Fair are immediately to the South (the largest regional shopping and dining destination in Queensland), the beach (Broadbeach) is just ten minutes walk, and the Broadbeach restaurant complex is immediately to the East (short 5 minutes walk). Social tours can easily be made to the rainforest (such as Tambourine National Park and World Heritage-listed Lamington National Park), to places of Aboriginal Indigenous significance, to Stradbroke Island, and to Australia’s greatest theme parks.

  ANZSC2021 promises to be a truly amazing experience on both a professional and a social level.

  Please check out the official conference website and register your interest here.

  We look forward to seeing you on the Gold Coast in 2021!

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• 63rd ISI World Statistics Congress 2021

  • Start
    11 Jul 2021
  •  
    (UTC+10:00)
  • End
    15 Jul 2021
  •  
    (UTC+10:00)
  • Location
    The Hague, The Netherlands

  The 63rd ISI World Statistics Congress will bring together statisticians and data scientists from academia, official statistics, health sector and business, junior and senior professionals, in an inviting environment.

  The inspiring and interactive programme will provide the platform to learn about the latest developments in statistical research and practice in an informal ambiance. A series of short courses, satellites and other events completes the WSC programme.

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• Mathematics without Borders - The Centennial of the International Mathematical Union

  • Start
    27 Sep 2021
  •  
    (UTC+10:00)
  • End
    28 Sep 2021
  •  
    (UTC+10:00)
  • Location
    Strasbourg, France

  Mathematics without Borders
  
  The Centennial of the International Mathematical Union         

  celebrates the centennial of this historic event.  Up-to-date information regarding the conference can be found here. 

  
  
  

  
  

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• Joint Southern Statistical Meetings 2022 (JSSM2022)

  • Start
    27 Jun 2022
  •  
    (UTC+10:00)
  • End
    1 Jul 2022
  •  
    (UTC+10:00)
  • Location
    Darwin, Australia

  The inaugural

  Joint Southern Statistical Meetings 2022

  will be held in Darwin from 27 June – 1 July 2022.

  

  This conference will bring together the leading statistical communities in the region to provide a forum for researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

  To be kept up to date with our conference planning, please email your details to JSSM2022@gmail.com.

  We invite regional associations to contact us with expressions of interest to be part of this event. If you would like to sponsor JSSM2022 please get in touch as well.

  See you in Darwin in 2022! 
  

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• ICM 2022 - external conference

  • Start
    6 Jul 2022
  •  
    (UTC+10:00)
  • End
    14 Jul 2022
  •  
    (UTC+10:00)
  • Location
    St Petersburg, Russia

  The ICM 2022 (International Congress of Mathematicians) will take place 6–14 July 2022 in St. Petersburg, Russia.
  
  The 19th General Assembly of the IMU will be held in St. Petersburg, on 3–4 July 2022. 
  The official website of the Congress is https://icm2022.org
  

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• XXXI International Biometric Conference (IBC 2022) - external event

  • Start
    10 Jul 2022
  •  
    (UTC+10:00)
  • End
    15 Jul 2022
  •  
    (UTC+10:00)
  • Location
    Riga, Latvia

  to be held at the Radisson Blu Latvija Conference & Spa Hotel

  
  

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