Niseko United, Japan

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!

Investors: Individuals and institutions looking to improve decision-making using data science techniques and data-driven financial technologies.

Traders: Professionals involved in buying and selling financial instruments, who can benefit from AI-powered trading strategies and tools.

AI and Data Science Professionals:

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

Financial professionals interested in AI and data-driven insights: Anyone working in the financial industry who wants to stay up-to-date on the latest trends and innovations.

Government Officials and Regulators Involved in Financial Technology Policy: Policymakers and regulators shaping the regulatory landscape for AI-driven financial services.

Financial Regulators: Policymakers responsible for overseeing the financial industry can benefit from understanding the implications of AI and data science on financial stability, consumer protection, and market integrity.

Central Bankers: Monetary authorities can leverage AI and data science to improve forecasting, risk management, and monetary policy implementation.

Entrepreneurs and investors in the FinTech space: Individuals involved in starting and funding new financial technology companies.

Academics and researchers studying the intersection of finance and technology: Scholars and researchers exploring the theoretical and practical aspects of AI in finance.

Economists: Researchers and analysts can explore the economic implications of AI-driven financial innovation, including its impact on growth, employment, and inequality.

Actuaries: Professionals involved in risk assessment and pricing can use AI and data science to improve their models and enhance risk management practices.

Insurance Professionals: Insurance companies can benefit from AI and data science to improve underwriting, claims processing, and fraud detection.

Accountants: Accountants can leverage AI and data science to streamline processes, enhance audit quality, and gain deeper insights into financial data.

Financial Scenario Planning, Modeling and Prediction

Keynote: A renowned financial expert discussing the transformative impact of data science and AI on scenario planning, financial modeling and predictive analytics.
Panel Discussion: Industry leaders debating the ethical implications of AI-driven financial predictions.
Workshops: Hands-on sessions on time series analysis, risk analysis and modeling, and sentiment analysis.
Lightning Talks: Short presentations on innovative research and applications in this area.

Algorithmic Trading and Investment Strategies

Case Studies: Real-world examples of successful AI-powered trading strategies.
Algorithm Investment & Trading: How to develop innovative investment and trading algorithms.
Roundtable Discussions: Exploring the challenges and opportunities of high-frequency trading.
Fireside Chat: A conversation with a prominent hedge fund manager on the future of AI in finance.

Financial Technology (FinTech) and Innovation

Startup Showcase: Presentations from promising FinTech startups.
Investor Panel: Discussions on funding trends and investment opportunities in FinTech.
Regulatory Roundtable: Exploring the regulatory landscape for AI-driven financial services.
Future Trends Session: Experts sharing their vision for the future of FinTech and its impact on society.

Optional Conference Topics

Data Science & AI in Global Finance & Investing: Explore the transformative power of data science and artificial intelligence in revolutionizing global finance and investing. Delve into cutting-edge applications such as data science and AI-powered investment decision making, algorithmic trading, risk assessment, fraud detection, and portfolio optimization.

Central Banks Policy: Gain insights into the evolving landscape of central bank policies worldwide. Analyze the impact of monetary policies, quantitative easing, and interest rate adjustments on global financial markets and economic stability.

Emerging Markets Investing: Discover the opportunities and challenges presented by emerging markets. Understand the factors driving growth, assess investment risks, and explore strategies for navigating these dynamic economies.

BRICS Policy: Examine the collective influence of the BRICS nations (Brazil, Russia, India, China, and South Africa) on the global financial landscape. Analyze their economic policies, trade relations, and geopolitical dynamics.

US Dollar Scenarios: Evaluate the future trajectory of the US dollar as the world's reserve currency. Consider potential scenarios, including its appreciation, depreciation, or a shift towards a multipolar currency system.

Blockchain Technology: Explore the disruptive potential of blockchain technology in finance. Discuss its applications in areas such as cryptocurrency, smart contracts, decentralized finance (DeFi), and supply chain management.

Global Financial Risk: Identify and assess emerging global financial risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for mitigating these risks and building resilience.

Additional Conference Features

Networking Events: Social gatherings and receptions to facilitate connections among attendees.
Workshops and Tutorials: Hands-on training sessions for attendees of varying skill levels.

Niseko United, a world-renowned ski resort in Hokkaido, Japan, is famous for its exceptional powder snow. This winter wonderland comprises four interconnected ski areas—Grand Hirafu, Niseko Village, Hanazono, and Annupuri—offering a vast expanse of skiable terrain for all levels.

Niseko United's allure extends beyond its slopes. The resort boasts abundant snowfall, creating consistently deep and fluffy powder conditions. Its diverse terrain caters to everyone, from gentle slopes for beginners to challenging off-piste runs for experts. Moreover, Niseko offers a unique blend of Japanese culture and international influences, with a variety of dining and accommodation options. After a day on the slopes, visitors can relax in traditional Japanese hot springs, known as onsen.

Hokkaido offers a diverse range of adventures for all interests. Whether you're seeking adrenaline-pumping thrills or peaceful relaxation, you'll find it in this beautiful region of Japan. Here are some cool things to experience:

Hot Spring Soaking (Onsen) in Noboribetsu:

Relax in therapeutic mineral-rich waters.
Experience traditional Japanese culture and hospitality.
Rejuvenate your body and mind in a serene onsen setting.

Skiing or Snowboarding in Niseko:

Experience world-class powder snow in this renowned ski resort.
Enjoy a variety of slopes for all skill levels.
Immerse yourself in the stunning winter wonderland.

Rafting on the Shiretoko River:

Embark on a thrilling white-water rafting adventure.
Admire the breathtaking scenery of Shiretoko National Park.
Challenge yourself with exciting rapids and serene river stretches.

Hiking in Daisetsuzan National Park:

Explore diverse landscapes, from volcanic peaks to alpine meadows.
Encounter unique wildlife, including brown bears and red foxes.
Enjoy stunning views and fresh mountain air.

Whale Watching in Otaru:

Witness majestic whales in their natural habitat.
Learn about marine conservation and ecology.
Create unforgettable memories of these gentle giants.

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 Niseko Mountain Range. 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 conference will bring together leading ​financial professionals,​ data scientists, AI engineers, investors, traders and policymakers to explore the transformative impact of Artificial Intelligence and Data Science on the financial sector, with a specific focus on the unique landscape of ​Japan.



We invite submissions for presentations, papers, workshops, and lightning talks across a range of compelling topics. We encourage submissions that present original research, innovative applications, case studies, and insightful analyses.



Main Conference Subject Areas


Financial Scenario Planning, Modeling and Prediction


This track will delve into the critical role of AI and data science in enhancing financial foresight. We seek contributions on:



Keynote: Submissions are invited for a keynote address by a renowned financial expert discussing the transformative impact of data science and AI on scenario planning, financial modeling, and predictive analytics.
Panel Discussion: Proposals for participation in a panel debate among industry leaders on the ethical implications of AI-driven financial predictions.
Workshops: Hands-on sessions focusing on advanced techniques in time series analysis, robust risk analysis and modeling, and sophisticated sentiment analysis for financial markets.
Lightning Talks: Short, impactful presentations on innovative research and novel applications within financial scenario planning, modeling, and prediction.


Algorithmic Trading and Investment Strategies


This track will explore the cutting-edge of automated trading and investment methodologies. We are particularly interested in:



Case Studies: Real-world examples demonstrating successful AI-powered trading strategies and their measurable outcomes.
Algorithm Investment & Trading: Presentations detailing the development of innovative investment and trading algorithms, including methodologies, backtesting results, and performance analysis.
Roundtable Discussions: Proposals for discussions exploring the challenges and opportunities presented by high-frequency trading, including regulatory considerations and market impact.
Fireside Chat: Submissions for a conversation with a prominent hedge fund manager on the future of AI in finance and its long-term implications for investment management.


Financial Technology (FinTech) and Innovation


This track will showcase the latest advancements and disruptive forces in financial technology. We welcome submissions related to:



Startup Showcase: Presentations from promising FinTech startups highlighting their innovative solutions and business models.
Investor Panel: Discussions on current funding trends, emerging investment opportunities, and challenges within the FinTech ecosystem.
Regulatory Roundtable: Exploring the evolving regulatory landscape for AI-driven financial services, including data privacy, compliance, and consumer protection.
Future Trends Session: Experts sharing their vision for the future of FinTech, its potential societal impact, and emerging technological paradigms.


Optional Conference Topics


In addition to the main subject areas, we also welcome submissions on the following optional, yet highly relevant, topics:



Data Science & AI in Global Finance & Investing: Explore the transformative power of data science and artificial intelligence in revolutionizing global finance and investing. Delve into cutting-edge applications such as data science and AI-powered investment decision-making, algorithmic trading, risk assessment, fraud detection, and portfolio optimization.


Central Banks Policy: Gain insights into the evolving landscape of central bank policies worldwide. Analyze the impact of monetary policies, quantitative easing, and interest rate adjustments on global financial markets and economic stability.


Emerging Markets Investing: Discover the opportunities and challenges presented by emerging markets. Understand the factors driving growth, assess investment risks, and explore strategies for navigating these dynamic economies.


BRICS Policy: Examine the collective influence of the BRICS nations (Brazil, Russia, India, China, and South Africa) on the global financial landscape. Analyze their economic policies, trade relations, and geopolitical dynamics.


US Dollar Scenarios: Evaluate the future trajectory of the US dollar as the world's reserve currency. Consider potential scenarios, including its appreciation, depreciation, or a shift towards a multipolar currency system.


Blockchain Technology: Explore the disruptive potential of blockchain technology in finance. Discuss its applications in areas such as cryptocurrency, smart contracts, decentralized finance (DeFi), and supply chain management.


Global Financial Risk: Identify and assess emerging global financial risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for mitigating these risks and building resilience.


Submission Types


We invite submissions across several categories to accommodate diverse contributions:



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


Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that undergoes 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 designed 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 agents in finance. These papers should focus on practical applications, best practices, and actionable insights that can benefit the broader community, even if they do not present novel research methodologies or extensive theoretical contributions. Submissions will undergo a peer-review process focused on clarity, relevance, and the practical value of the shared experiences.


Poster Presentations: Showcase preliminary results, ongoing research, or innovative concepts visually. Includes a dedicated poster session for discussion.


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


Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to the financial sector.


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.
Originality: Submissions must represent original work that has not been previously published or is not under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or business concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon submission portal opening.


Review Process


All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in AI, data science, and related business 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


Further details on submission deadlines and the submission portal will be provided on the conference website. We encourage early submissions.



We look forward to your valuable contributions!

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 and Finance Professionals:

Financial Institutions: Banks, investment firms, and tech companies.
E-commerce Businesses: Online retailers and payment processors.
Telecommunications Companies: Providers of communication services.
Healthcare Providers: Hospitals, clinics, and health insurance companies.
Entrepreneurs and investors in the Tech space.
Academic and Research Community.

Technology Professionals:

IT Managers and CIOs: IT leaders responsible for securing organizational systems.
Network Engineers: Network administrators and security engineers.
Cybersecurity Experts: Security analysts, penetration testers, and security architects.
Cryptographers: Cryptography researchers and engineers.

Government Officials and Regulators:

Policymakers and regulators shaping the regulatory landscape.
Regulators: Policymakers responsible for overseeing AI/ML.

I. Random Forest Fundamentals and Applications



A. Core Concepts

B. Hyperparameter Tuning

C. Feature Importance and Interpretation



II. Industry Applications of Random Forests



A. Finance

Fraud Detection
Customer Churn Prediction
Risk Assessment


B. Healthcare

Disease Diagnosis
Patient Risk Stratification
Drug Discovery


C. Marketing and Sales

Customer Segmentation
Market Basket Analysis
Customer Lifetime Value Prediction


D. Environmental Science

Species Distribution Modeling
Climate Change Impact Assessment
Forest Fire Prediction


E. Cybersecurity

Network Intrusion Detection
Malware Detection
Phishing Email Detection


F. Recommender Systems

Product Recommendations
Content Recommendations
Collaborative Filtering and Content-Based Filtering Techniques


III. Building a Random Forest Model (Hands-on Workshop)



A. Data Preparation and Feature Engineering

B. Model Training and Evaluation

C. Model Deployment and Monitoring

Niseko United, a world-renowned ski resort in Hokkaido, Japan, is famous for its exceptional powder snow. This winter wonderland comprises four interconnected ski areas—Grand Hirafu, Niseko Village, Hanazono, and Annupuri—offering a vast expanse of skiable terrain for all levels.

Niseko United's allure extends beyond its slopes. The resort boasts abundant snowfall, creating consistently deep and fluffy powder conditions. Its diverse terrain caters to everyone, from gentle slopes for beginners to challenging off-piste runs for experts. Moreover, Niseko offers a unique blend of Japanese culture and international influences, with a variety of dining and accommodation options. After a day on the slopes, visitors can relax in traditional Japanese hot springs, known as onsen.

Hokkaido offers a diverse range of adventures for all interests. Whether you're seeking adrenaline-pumping thrills or peaceful relaxation, you'll find it in this beautiful region of Japan. Here are some cool things to experience:

Hot Spring Soaking (Onsen) in Noboribetsu:

Relax in therapeutic mineral-rich waters.
Experience traditional Japanese culture and hospitality.
Rejuvenate your body and mind in a serene onsen setting.

Skiing or Snowboarding in Niseko:

Experience world-class powder snow in this renowned ski resort.
Enjoy a variety of slopes for all skill levels.
Immerse yourself in the stunning winter wonderland.

Rafting on the Shiretoko River:

Embark on a thrilling white-water rafting adventure.
Admire the breathtaking scenery of Shiretoko National Park.
Challenge yourself with exciting rapids and serene river stretches.

Hiking in Daisetsuzan National Park:

Explore diverse landscapes, from volcanic peaks to alpine meadows.
Encounter unique wildlife, including brown bears and red foxes.
Enjoy stunning views and fresh mountain air.

Whale Watching in Otaru:

Witness majestic whales in their natural habitat.
Learn about marine conservation and ecology.
Create unforgettable memories of these gentle giants.

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 Niseko Mountain Range. 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 aims to bridge the gap between theoretical understanding and practical implementation, fostering a deeper knowledge of this powerful machine learning technique across diverse fields. We seek to unite researchers, practitioners, and industry leaders to share insights, discuss advancements, and explore the vast applications of Random Forests.



We welcome submissions for presentations, technical papers, and workshop proposals that delve into the cutting-edge advancements, practical applications, and developmental challenges of Random Forests. Our audience is broad, encompassing data scientists, machine learning engineers, software developers, researchers, and professionals across various industries. Submissions should offer valuable insights for both technical and non-technical attendees, covering aspects from foundational concepts to real-world deployment strategies.



Topics of Interest


We encourage submissions that align with, but are not limited to, the following themes:



I. Random Forest Fundamentals and Applications



Core Concepts: Delving into decision trees, ensemble learning, and bagging.
Hyperparameter Tuning: Optimizing model performance through effective tuning strategies.
Feature Importance and Interpretation: Understanding and explaining model decisions.


II. Industry Applications of Random Forests



Finance: Fraud detection, customer churn prediction, and risk assessment.
Healthcare: Disease diagnosis, patient risk stratification, and drug discovery.
Marketing and Sales: Customer segmentation, market basket analysis, and customer lifetime value prediction.
Environmental Science: Species distribution modeling, climate change impact assessment, and forest fire prediction.
Cybersecurity: Network intrusion detection, malware detection, and phishing email detection.
Recommender Systems: Product and content recommendations, including collaborative and content-based filtering techniques.


III. Building a Random Forest Model (Hands-on Workshop)



Data Preparation and Feature Engineering: Techniques for preparing data for Random Forest models.
Model Training and Evaluation: Methodologies for training and evaluating Random Forest models.
Model Deployment and Monitoring: Best practices for deploying and monitoring Random Forest models in production.


Submission Types


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


Technical Papers (Full Length, 8-12 pages, specified format): Submit original, unpublished research that undergoes 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 designed 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 Random Forest models. These papers should focus on practical applications, best practices, and actionable insights that can benefit the broader community, even if they don't present novel research methodologies or extensive theoretical contributions. Submissions will undergo a peer-review process focused on clarity, relevance, and the practical value of the shared experiences.


Poster Presentations: Showcase preliminary results, ongoing research, or innovative concepts visually. This includes a dedicated poster session for discussion.


Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to Random Forest development or deployment.


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.
Originality: Submissions must represent original work that has not been previously published or is not under review elsewhere.
Audience Consideration: Presenters should be prepared to convey complex technical or business concepts clearly to a diverse audience, including both technical and non-technical attendees.
Formatting: Specific formatting guidelines for full papers will be provided upon submission portal opening.


Review Process


All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in data science and machine learning. 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


Ready to share your expertise in Random Forests? We look forward to your valuable contributions!

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

Niseko United, a world-renowned ski resort in Hokkaido, Japan, is famous for its exceptional powder snow. This winter wonderland comprises four interconnected ski areas—Grand Hirafu, Niseko Village, Hanazono, and Annupuri—offering a vast expanse of skiable terrain for all levels.

Niseko United's allure extends beyond its slopes. The resort boasts abundant snowfall, creating consistently deep and fluffy powder conditions. Its diverse terrain caters to everyone, from gentle slopes for beginners to challenging off-piste runs for experts. Moreover, Niseko offers a unique blend of Japanese culture and international influences, with a variety of dining and accommodation options. After a day on the slopes, visitors can relax in traditional Japanese hot springs, known as onsen.

Hokkaido offers a diverse range of adventures for all interests. Whether you're seeking adrenaline-pumping thrills or peaceful relaxation, you'll find it in this beautiful region of Japan. Here are some cool things to experience:

Hot Spring Soaking (Onsen) in Noboribetsu:

Relax in therapeutic mineral-rich waters.
Experience traditional Japanese culture and hospitality.
Rejuvenate your body and mind in a serene onsen setting.

Skiing or Snowboarding in Niseko:

Experience world-class powder snow in this renowned ski resort.
Enjoy a variety of slopes for all skill levels.
Immerse yourself in the stunning winter wonderland.

Rafting on the Shiretoko River:

Embark on a thrilling white-water rafting adventure.
Admire the breathtaking scenery of Shiretoko National Park.
Challenge yourself with exciting rapids and serene river stretches.

Hiking in Daisetsuzan National Park:

Explore diverse landscapes, from volcanic peaks to alpine meadows.
Encounter unique wildlife, including brown bears and red foxes.
Enjoy stunning views and fresh mountain air.

Whale Watching in Otaru:

Witness majestic whales in their natural habitat.
Learn about marine conservation and ecology.
Create unforgettable memories of these gentle giants.

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 Niseko Mountain Range. 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!