We are in the process of finalizing dates and details.

Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!

AI and Data Science Professionals:

Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers

Business Leaders and Innovators:

CEOs, CTOs, and other C-suite executives
Startup founders and entrepreneurs
Business analysts and consultants
Marketing and sales professionals

Policymakers and Regulators:

Government officials
Legal professionals
Ethics experts

Academics and Students:

University professors and researchers
Graduate and undergraduate students

Secondary Audience:

Individuals: Anyone interested in radically improving their life leveraging AI and Data Science.
Healthcare professionals
Financial services professionals
Retail and e-commerce professionals
Education professionals
Non-profit organizations
Professionals seeking to advance their knowledge and network with peers.
Consulting firms: Companies that provide AI and Data Science consulting services.
Venture capital firms: Investors looking for opportunities in AI and Data Science startups.
Law firms: Legal professionals who need to understand the legal implications of AI and Data Science.
Marketing and advertising agencies: Companies that use AI and Data Science to improve their marketing campaigns.
Financial institutions: Banks, insurance companies, and other financial institutions that use AI and Data Science to manage risk and improve their products and services.
Retailers: Companies that use AI and Data Science to improve their supply chain and customer experience.
Students and recent graduates: Those interested in pursuing careers in AI and Data Science.
Hobbyists and enthusiasts: People who are passionate about AI and Data Science and want to learn more.

Life:

AI for Personal Well-being: Explore how AI can enhance mental health, physical fitness, and overall quality of life.
AI-Powered Healthcare: Discuss the potential of AI in medical diagnosis, drug discovery, and personalized treatment plans.
Personal Assistants: Streamline personal finances, optimize investment decisions, optimize tasks and schedules, provide personalized recommendations and more.

Business:

AI-Driven Innovation: Delve into the innovative applications of AI in various industries, such as finance, marketing, and manufacturing.
Data-Driven Decision Making: Explore how data science can empower businesses to make informed decisions and optimize operations.
AI and the Future of Work: Discuss the impact of AI on the workforce, including automation, job creation, and skill development.

Government:

AI for Public Good: Explore how AI can be used to address societal challenges, such as climate change, poverty, and inequality.
AI-Enabled Governance: Discuss the potential of AI in improving government efficiency, transparency, and accountability.
AI and National Security: Examine the role of AI in cybersecurity, intelligence, and defense.
Ethical AI and Societal Impact: Examine the ethical considerations and societal implications of AI, including bias, privacy, and job displacement.

Revelstoke, Canada is a charming mountain town nestled in the Columbia Mountains of British Columbia. Known for its stunning natural beauty, it offers a variety of outdoor activities year-round. In winter, it transforms into a winter wonderland, attracting skiers and snowboarders to its world-class slopes. Revelstoke Mountain Resort boasts one of the longest vertical drops in North America.

In summer, the town comes alive with hiking, biking, fishing, and whitewater rafting opportunities. The surrounding national parks, Mount Revelstoke and Glacier National Park, offer breathtaking scenery and diverse wildlife. Revelstoke's historic downtown, with its quaint shops and restaurants, adds to its unique charm.

Here are some cool adventures:

Heli-Skiing Adventure: Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Ski or Snowboard Revelstoke Mountain Resort: Experience one of the longest vertical drops in North America, with challenging terrain for experienced riders and gentler slopes for beginners.

Hike or Bike Revelstoke Mountain Resort: In summer, the mountain transforms into a playground for hikers and mountain bikers, offering stunning views and diverse trails.

Explore Mount Revelstoke National Park: Hike to the alpine meadows of Meadows in the Sky, or take a scenic drive along the winding road.

Raft the Illecillewaet River: Experience the thrill of whitewater rafting on the Illecillewaet River, with options for all skill levels.

Soak in the Hot Springs: Relax in the natural mineral pools of the Canyon Hot Springs or Halcyon Hot Springs, surrounded by beautiful mountain scenery.

Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Join us for a thrilling day of heli-skiing in the heart of the Canadian Rockies. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

This event will bring together leading data professionals, policymakers, and innovators to share insights, discoveries, and practical applications of AI and data science.



We invite you to contribute your expertise and join us in shaping the future of AI and data science. We are seeking compelling presentations, papers, workshops, and lightning talks that offer original research, innovative solutions, real-world case studies, and thought-provoking analyses.



Main Conference Subject Areas




Life


This track focuses on how AI can enhance individual well-being and revolutionize personal experiences. We encourage submissions on:



AI for Personal Well-being: Explore how AI can enhance mental health support, optimize physical fitness regimes, and improve overall quality of life.
AI-Powered Healthcare: Discuss the potential of AI in accelerating medical diagnosis, streamlining drug discovery, and enabling truly personalized treatment plans.
Personal Assistants: Showcase AI's ability to streamline personal finances, optimize investment decisions, automate tasks and schedules, and provide personalized recommendations for various aspects of daily life.


Business


This track delves into the strategic implementation and impact of AI within the commercial landscape. We're particularly interested in:



AI-Driven Innovation: Delve into innovative applications of AI across diverse industries, such as finance, marketing, and manufacturing, highlighting new products, services, and operational efficiencies.
Data-Driven Decision Making: Explore how data science and AI can empower businesses to make more informed strategic and operational decisions, leading to optimized performance and competitive advantage.
AI and the Future of Work: Discuss the profound impact of AI on the workforce, including automation trends, the potential for job creation, and the necessary evolution of skill development.


Government


This track examines the role of AI in public service, governance, and national security. We welcome submissions on:



AI for Public Good: Explore how AI can be effectively utilized to address pressing societal challenges, such as climate change mitigation, poverty reduction, and tackling inequality.
AI-Enabled Governance: Discuss the potential of AI in improving government efficiency, fostering greater transparency, and enhancing accountability in public services.
AI and National Security: Examine the critical role of AI in strengthening cybersecurity defenses, enhancing intelligence gathering and analysis, and advancing defense capabilities.
Ethical AI and Societal Impact: This cross-cutting theme encourages submissions that critically examine the ethical considerations and broader societal implications of AI, including issues of bias, privacy, and job displacement.


Submission Types


We invite various types of submissions to ensure a rich and diverse program:



Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices in a focused presentation.


Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings.


Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, industry leaders, and innovators to share valuable lessons learned, practical case studies, real-world implementations, and insightful perspectives on the challenges and successes encountered in the development, deployment, or strategic adoption of AI. These papers should focus on practical applications, best practices, and actionable insights. Submissions will be peer-reviewed for clarity, relevance, and practical value.


Poster Presentations: Visually showcase preliminary results, ongoing research, or innovative concepts. There will be a dedicated poster session for interactive discussions.


Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic related to AI's impact on life, business, or government.


Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to AI development or deployment within the conference themes.


Submission Guidelines


Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords that best describe your submission.
Originality: Submissions must represent original work that has not been previously published or is not currently under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or theoretical concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon the submission portal opening.


Review Process


All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in AI and related domains. Submissions will be evaluated based on:



Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and practical applicability


We look forward to your valuable contributions and to a stimulating discussion on the diverse applications and implications of AI and data science!

We are in the process of finalizing dates and details.

Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!

AI and Data Science Professionals:

Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers
Data Analysts
Business Intelligence Analysts
Database Administrators

Data Governance and Security Professionals:

Data Governance Officers
Data Privacy Officers
Chief Information Security Officers (CISOs)
Cybersecurity Analysts
Compliance Officers
Legal Professionals

Business and Industry Professionals:

Executives and C-Suite Leaders
Business Analysts
Project Managers
Marketing and Sales Professionals
Operations Managers
Financial Analysts

Academic and Research Community:

Researchers and Academics
Students and Graduate Students

Foundations of Data Classification

Welcome and Keynote: Conference overview and the evolving landscape of data.

Understanding Data Sensitivity and Regulatory Compliance

Data Privacy Regulations: GDPR, CCPA, HIPAA
Identifying Sensitive Data: A Practical Guide

Data Classification Standards and Frameworks

NIST Data Classification Standard: A Deep Dive
Industry-Specific Standards: PCI DSS, HIPAA, and More

Implementing a Data Classification Process

Data Inventory and Assessment: A Step-by-Step Approach
Classification Methodology and Tools: Best Practices
Continuous Monitoring and Review: Ensuring Data Security


Best Practices for Data Collection

Data Quality and Integrity

Data Cleansing and Standardization: A Comprehensive Guide
Data Validation and Verification Techniques
Data Quality Metrics: Measuring Success

Ethical Considerations in Data Collection

Informed Consent and Privacy: Legal and Ethical Implications
Bias and Fairness in Data: Addressing Algorithmic Bias
Ethical Guidelines for Data Collection: A Framework

Data Collection Strategies and Techniques

Data Mining and Scraping: Best Practices and Challenges
API Integration: Connecting to Data Sources
Data Streaming and Real-time Processing: A Deep Dive

Panel Discussion: Data Collection Challenges and Future Trends


Advanced Data Classification and Collection Techniques

Machine Learning for Data Classification

Supervised and Unsupervised Learning Techniques
Natural Language Processing for Text Classification
Computer Vision for Image and Video Classification

Data Integration and Fusion

Data Warehousing and Data Lakes: A Comparative Analysis
Data Integration Techniques: ETL, ELT, and More
Data Fusion and Enrichment: Combining Data Sources

Data Governance and Security

Data Governance Frameworks: Implementing Effective Governance
Data Security Best Practices: Protecting Sensitive Data
Data Access Controls and Permissions: Managing User Access

Workshop: Hands-on Data Classification and Collection
Practical exercises on data classification, data quality, and data integration
Case studies and real-world examples

Revelstoke, Canada is a charming mountain town nestled in the Columbia Mountains of British Columbia. Known for its stunning natural beauty, it offers a variety of outdoor activities year-round. In winter, it transforms into a winter wonderland, attracting skiers and snowboarders to its world-class slopes. Revelstoke Mountain Resort boasts one of the longest vertical drops in North America.

In summer, the town comes alive with hiking, biking, fishing, and whitewater rafting opportunities. The surrounding national parks, Mount Revelstoke and Glacier National Park, offer breathtaking scenery and diverse wildlife. Revelstoke's historic downtown, with its quaint shops and restaurants, adds to its unique charm.

Here are some cool adventures:

Heli-Skiing Adventure: Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Ski or Snowboard Revelstoke Mountain Resort: Experience one of the longest vertical drops in North America, with challenging terrain for experienced riders and gentler slopes for beginners.

Hike or Bike Revelstoke Mountain Resort: In summer, the mountain transforms into a playground for hikers and mountain bikers, offering stunning views and diverse trails.

Explore Mount Revelstoke National Park: Hike to the alpine meadows of Meadows in the Sky, or take a scenic drive along the winding road.

Raft the Illecillewaet River: Experience the thrill of whitewater rafting on the Illecillewaet River, with options for all skill levels.

Soak in the Hot Springs: Relax in the natural mineral pools of the Halcyon Hot Springs, surrounded by beautiful mountain scenery.

Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Join us for a thrilling day of heli-skiing in the heart of the Canadian Rockies. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

This pivotal conference will bring together leading experts, practitioners, and researchers to explore the foundational and advanced techniques critical for effective data management in today's complex digital landscape.



We invite you to share your knowledge and contribute to a vibrant discussion on best practices, innovative solutions, and future trends in data classification and collection. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that offer original research, practical applications, and thought-provoking analyses.



Main Conference Subject Areas


Foundations of Data Classification


This track will lay the groundwork for understanding and implementing robust data classification strategies. We encourage submissions on:



Welcome and Keynote: Proposals for an opening keynote addressing the evolving landscape of data and the increasing importance of effective data classification.
Understanding Data Sensitivity and Regulatory Compliance: Deep dives into Data Privacy Regulations such as GDPR, CCPA, and HIPAA, along with practical guides for identifying sensitive data.
Data Classification Standards and Frameworks: Comprehensive discussions on established standards like the NIST Data Classification Standard and industry-specific mandates such as PCI DSS and HIPAA.
Implementing a Data Classification Process: Step-by-step approaches to data inventory and assessment, best practices for classification methodology and tools, and strategies for continuous monitoring and review to ensure ongoing data security.


Best Practices for Data Collection


This track will cover essential considerations and techniques for acquiring high-quality and ethically sourced data. We are particularly interested in:



Data Quality and Integrity:

Data Cleansing and Standardization: Comprehensive guides to processes that ensure data accuracy and consistency.
Data Validation and Verification Techniques: Methods for confirming the reliability and correctness of collected data.
Data Quality Metrics: Approaches to measuring and improving the success of data collection efforts.

Ethical Considerations in Data Collection:

Informed Consent and Privacy: Discussions on the legal and ethical implications of data collection.
Bias and Fairness in Data: Strategies for addressing and mitigating algorithmic bias in data.
Ethical Guidelines for Data Collection: Frameworks and principles for responsible data acquisition.

Data Collection Strategies and Techniques:

Data Mining and Scraping: Best practices and challenges associated with extracting data from various sources.
API Integration: Connecting to and leveraging external data sources through APIs.
Data Streaming and Real-time Processing: In-depth explorations of acquiring and processing data as it is generated.

Panel Discussion: Proposals for a panel discussion focusing on current and future Data Collection Challenges and Future Trends.


Advanced Data Classification and Collection Techniques


This track will explore cutting-edge methodologies and technologies for enhanced data classification and integration. We welcome submissions on:



Machine Learning for Data Classification:

Applications of Supervised and Unsupervised Learning Techniques.
Leveraging Natural Language Processing for efficient Text Classification.
Utilizing Computer Vision for robust Image and Video Classification.

Data Integration and Fusion:

A comparative analysis of Data Warehousing and Data Lakes.
Advanced Data Integration Techniques including ETL, ELT, and modern approaches.
Strategies for Data Fusion and Enrichment, combining diverse data sources for greater insight.

Data Governance and Security:

Implementing effective Data Governance Frameworks.
Data Security Best Practices for protecting sensitive information.
Strategies for Data Access Controls and Permissions to manage user access effectively.

Workshop: Proposals for hands-on sessions covering practical exercises on data classification, data quality, and data integration, along with real-world case studies.


Submission Types


We invite diverse contributions to enrich our program:



Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices in a focused presentation.

Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings.

Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, industry leaders, and innovators to share valuable lessons learned, practical case studies, real-world implementations, and insightful perspectives on the challenges and successes encountered in data classification, collection, and governance. These papers should focus on practical applications, best practices, and actionable insights. Submissions will be peer-reviewed for clarity, relevance, and practical value.

Poster Presentations: Visually showcase preliminary results, ongoing research, or innovative concepts. There will be a dedicated poster session for interactive discussions.

Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic within data classification, collection, or governance.

Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to data classification, collection, data quality, or data integration.


Submission Guidelines


Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords that best describe your submission.
Originality: Submissions must represent original work that has not been previously published or is not currently under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or theoretical concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon the submission portal opening.


Review Process


All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in data management, data science, cybersecurity, and related domains. Submissions will be evaluated based on:



Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and practical applicability


We eagerly anticipate your contributions and look forward to building a comprehensive and insightful program on mastering data!

We are in the process of finalizing dates and details.

Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!

Data Scientists and Analysts: Professionals skilled in extracting insights from data.

Decision-Makers: Executives and managers who need to make data-driven decisions.

Investment Professionals: Portfolio managers, traders, and analysts.

Quantitative Analysts: Individuals specializing in quantitative modeling and analysis.

Risk Managers: Experts in assessing and mitigating risks.

Financial Engineers: Professionals who design and implement financial products.

Actuaries: Experts in assessing financial risks.

Data Engineers: Professionals who prepare and manage data.

Business Analysts: Individuals who bridge the gap between business needs and technical solutions.

Regulators and Policymakers: Individuals shaping regulatory landscapes.

Academics and Researchers: Scholars exploring the theoretical and practical applications of data science and probability theory.

Foundations of Randomness


Welcome and Keynote Address: Introduction to randomness and probability.


Randomness and Uncertainty: A Primer
Axioms of Probability
Random Variables and Probability Distributions
Conditional Probability and Independence

The Role of Probability Distributions in Randomness
Discrete Probability Distributions
Continuous Probability Distributions
Real-world Applications



The Illusion of Control


The Gambler's Fallacy: A Misconception of Independence
Understanding the fallacy
Real-world examples
Overcoming the fallacy

The Hot Hand Fallacy: The Myth of Momentum
The psychology behind the fallacy
Sports, investing, and other domains
The role of randomness in sports performance

The Psychology of Coincidence: Why We See Patterns Where None Exist
Cognitive biases and pattern recognition
Confirmation bias and randomness
Critical thinking and avoiding fallacies



Harnessing Randomness

Randomness in Computer Science and Cryptography
Random number generation
Cryptographic applications
Randomized algorithms

Randomness in Artificial Intelligence and Machine Learning
Stochastic optimization
Generative models
Reinforcement learning

Randomness in Nature and the Universe
Quantum mechanics and probabilistic events
Chaos theory and the butterfly effect
Evolutionary processes and genetic randomness
Closing Remarks and Q&A Session

Revelstoke, Canada is a charming mountain town nestled in the Columbia Mountains of British Columbia. Known for its stunning natural beauty, it offers a variety of outdoor activities year-round. In winter, it transforms into a winter wonderland, attracting skiers and snowboarders to its world-class slopes. Revelstoke Mountain Resort boasts one of the longest vertical drops in North America.

In summer, the town comes alive with hiking, biking, fishing, and whitewater rafting opportunities. The surrounding national parks, Mount Revelstoke and Glacier National Park, offer breathtaking scenery and diverse wildlife. Revelstoke's historic downtown, with its quaint shops and restaurants, adds to its unique charm.

Here are some cool adventures:

Heli-Skiing Adventure: Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Ski or Snowboard Revelstoke Mountain Resort: Experience one of the longest vertical drops in North America, with challenging terrain for experienced riders and gentler slopes for beginners.

Hike or Bike Revelstoke Mountain Resort: In summer, the mountain transforms into a playground for hikers and mountain bikers, offering stunning views and diverse trails.

Explore Mount Revelstoke National Park: Hike to the alpine meadows of Meadows in the Sky, or take a scenic drive along the winding road.

Raft the Illecillewaet River: Experience the thrill of whitewater rafting on the Illecillewaet River, with options for all skill levels.

Soak in the Hot Springs: Relax in the natural mineral pools of the Halcyon Hot Springs, surrounded by beautiful mountain scenery.

Experience the ultimate powder skiing adventure with a helicopter tour to remote, pristine snowfields.

Join us for a thrilling day of heli-skiing in the heart of the Canadian Rockies. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

We are excited to announce our Call for Presentations & Papers for a unique conference dedicated to ​navigating uncertainty with a probabilistic approach to decision-making. This event will delve into the theoretical underpinnings, practical applications, and philosophical implications of this crucial concept across diverse disciplines.


We invite you to contribute your expertise and join us in unraveling the mysteries of chance. We are seeking compelling presentations, papers, workshops, and lightning talks that offer original research, innovative insights, real-world case studies, and thought-provoking analyses.



Main Conference Subject Areas


Foundations of Randomness


This track will establish the core concepts and principles governing randomness and probability. We encourage submissions on:



Welcome and Keynote Address: Proposals for an introductory keynote addressing the fundamental role of randomness and probability in various fields.
Randomness and Uncertainty: A Primer: Discussions on the axioms of probability, the definitions of random variables and probability distributions, and the crucial concepts of conditional probability and independence.
The Role of Probability Distributions in Randomness: In-depth explorations of both discrete probability distributions (e.g., Bernoulli, Binomial, Poisson) and continuous probability distributions (e.g., Normal, Exponential, Uniform), along with their real-world applications.


The Illusion of Control


This track will explore the psychological biases that lead us to misinterpret or underestimate the role of randomness. We are particularly interested in:



The Gambler's Fallacy: A Misconception of Independence: Understanding the psychological and statistical basis of this fallacy, with real-world examples and strategies for overcoming it.
The Hot Hand Fallacy: The Myth of Momentum: Examining the psychology behind this myth in various domains such as sports and investing, and the true role of randomness in observed performance.
The Psychology of Coincidence: Why We See Patterns Where None Exist: Discussions on cognitive biases and pattern recognition, including confirmation bias in the context of randomness, and the importance of critical thinking to avoid fallacies.


Harnessing Randomness


This track will showcase how randomness is leveraged and applied across different scientific and technological domains. We welcome submissions on:



Randomness in Computer Science and Cryptography: Topics including effective random number generation, its vital role in cryptographic applications (e.g., encryption, digital signatures), and the design and analysis of randomized algorithms.
Randomness in Artificial Intelligence and Machine Learning: Explorations of stochastic optimization techniques, the principles behind generative models (e.g., GANs, VAEs), and the use of randomness in reinforcement learning.
Randomness in Nature and the Universe: Discussions on quantum mechanics and probabilistic events, chaos theory and the butterfly effect, and the role of genetic randomness in evolutionary processes.


Submission Types


We invite various types of submissions to ensure a rich and diverse program:



Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices in a focused presentation.


Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings.


Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, researchers, and thought leaders to share valuable lessons learned, practical case studies, real-world implementations, and insightful perspectives on the challenges and successes encountered when dealing with randomness in various domains. These papers should focus on practical applications, best practices, and actionable insights. Submissions will be peer-reviewed for clarity, relevance, and practical value.


Poster Presentations: Visually showcase preliminary results, ongoing research, or innovative concepts. There will be a dedicated poster session for interactive discussions.


Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic related to randomness.


Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to understanding, analyzing, or applying randomness.


Submission Guidelines


Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
Keywords: Provide 3-5 relevant keywords that best describe your submission.
Originality: Submissions must represent original work that has not been previously published or is not currently under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or theoretical concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon the submission portal opening.


Review Process


All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in relevant fields. Submissions will be evaluated based on:



Relevance to conference themes
Originality and novelty of contributions
Technical merit and soundness (for technical papers)
Clarity, organization, and presentation quality
Potential impact and intellectual applicability


We look forward to your valuable contributions and to a stimulating exploration of navigating uncertainty with a probabilistic approach to decision-making​ at the conference!