DSA Global Conference Benefits
Knowledge & Professional Development: Gain new skills & insights from global leaders
Cutting-Edge Education: Acquire new expertise and stay current with the latest trends and technologies in data science, AI, and quantum computing.
Hands-On Workshops: Master practical techniques and tools through interactive sessions led by industry experts.
Ethical Discussions: Engage in critical conversations on the responsible and unbiased application of data, AI and quantum computing.
Cutting-Edge Education: Acquire cutting-edge skills & knowledge from leaders in data science, AI, & quantum computing
Immersive Workshops: Dive deep into practical applications and hands-on exercises to master new technologies and methodologies.
Expert-Led Seminars: Hear directly from industry pioneers and academic leaders about the latest research, trends, and future directions.
Certification Pathways: Follow structured learning paths designed to build specific skills and prepare for professional certifications.
Global Networking: Form valuable relationships that foster career growth & professional support
Peer-to-Peer Connections: Connect with professionals from around the world to share experiences and build a supportive network.
Mentorship & Collaboration: Find opportunities to be mentored by seasoned experts or collaborate on innovative projects.
Industry Leader Access: Engage directly with influential figures and thought leaders to gain unique perspectives and advice.
Career Advancement: Access exclusive networking opportunities & advice to propel your professional journey
Professional Mentorship: Connect with seasoned experts who can provide personalized guidance and support to help you achieve your career goals.
Leadership Opportunities: Gain experience and visibility by taking on leadership roles within the association's committees or local chapters.
Career Resources: Access a curated job board, resume workshops, and interview coaching to give you a competitive edge in the job market.
Publish & Present: Gain visibility by publishing your paper or giving a live presentation to a global audience
Peer-Reviewed Publications: Submit your research to be published in a DSA-supported journal and contribute to the body of knowledge in the field.
Live Speaking Opportunities: Share your expertise by presenting your work on stage at global conferences and virtual events.
Content Creation: Amplify your professional brand by writing articles, case studies, or white papers for the DSA's online platforms.
Build Your Professional Brand: Elevate your reputation & expertise within the data ecosystem
Thought Leadership: Establish your expertise by participating in panel discussions or leading workshops and webinars.
Community Recognition: Enhance your reputation by being recognized for your contributions and achievements through awards and professional distinctions.
Portfolio Development: Showcase your skills and projects by creating a professional profile and portfolio on the DSA platform, gaining visibility among peers and potential employers.
Tax-Deductible: Your attendance & travel may be tax-deductible (consult with a tax professional)
Professional Development Expense: Your conference fees are often deductible as a business expense, supporting your continued professional education and career growth.
Travel & Lodging: The costs of travel, including airfare and hotel stays, are typically deductible when the primary purpose of the trip is professional development.
Meal & Entertainment Deductions: You may be able to deduct a portion of your meal expenses incurred while attending the conference.
Exclusive Access: Be the first to see new AI and quantum computing tech, products, & services from partners
Partner Showcases: Get an exclusive first look at cutting-edge tools and platforms from our industry partners before they are released to the public.
Product Demos: Participate in live demonstrations and Q&A sessions to understand how the latest AI and quantum computing products and services can be applied to your work.
Beta Testing Opportunities: Be invited to join private beta programs, allowing you to provide feedback and influence the development of new technologies.
Travel Discounts & Financial Benefits: Take advantage of special pricing on travel & accommodations
Exclusive Travel Deals: Access special rates on flights, rental cars, and hotels through partnerships with leading travel providers.
Conference Fee Discounts: Enjoy reduced registration fees for members, making attendance at professional events more affordable.
Financial Resources: Find information and guides on maximizing your tax deductions and managing expenses related to professional development.
Powering Japan's Financial Future with Data Science & AI
Join us at the DSA Conference in Niseko United, Japan for a transformative experience that will reshape the future of finance. Immerse yourself in a world-class ski resort, renowned for its pristine powder snow, while engaging with global leaders and visionaries.
Explore the cutting-edge applications of AI and data science, and discover how these technologies are revolutionizing the financial industry. Through thought-provoking keynotes, interactive workshops, and networking opportunities, you'll gain valuable insights and connect with like-minded professionals.
Why Attend?
Unleash Innovation: Learn from industry pioneers and discover new frontiers in financial technology.
Network with the Elite: Connect with leading experts, investors, and entrepreneurs.
Experience Niseko: Enjoy world-class skiing and immerse yourself in the stunning beauty of Hokkaido.
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
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.
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'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.
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 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!
Powering Japan's Financial Future with Data Science & AI
Discover the Power of Random Forests
Join us for a 3-day immersive conference exploring the cutting-edge applications of random forests in various industries.
What to Expect:
In-depth Technical Sessions: Delve into the core concepts of random forests, including ensemble learning, decision trees, and feature importance.
Real-World Case Studies: Learn from industry experts as they share practical examples of how random forests have been applied to solve real-world problems.
Hands-on Workshops: Gain practical experience by working on real-world datasets and building your own random forest models.
Networking Opportunities: Connect with like-minded professionals and build valuable relationships with industry leaders.
Key Topics:
Financial Industry:
Fraud Detection
Customer Churn Prediction
Risk Assessment
Healthcare:
Disease Diagnosis
Patient Risk Stratification
Drug Discovery
Marketing and Sales:
Customer Segmentation
Market Basket Analysis
Customer Lifetime Value Prediction
Environmental Science:
Species Distribution Modeling
Climate Change Impact Assessment
Forest Fire Prediction
Cybersecurity:
Network Intrusion Detection
Malware Detection
Phishing Email Detection
Recommender Systems:
Product Recommendations
Content Recommendations
Why Attend?
Gain Expertise: Learn from top experts in the field of machine learning and data science.
Stay Ahead of the Curve: Discover the latest trends and advancements in random forest applications.
Network with Industry Leaders: Connect with like-minded professionals and build valuable relationships.
Advance Your Career: Enhance your skills and knowledge to advance your career in data science.
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
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.
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'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.
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 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!
Discover the Power of Random Forests
Navigating Uncertainty: A Probabilistic Approach to Decision-Making
By the end of this conference, attendees will gain a solid foundation in probability theory and be equipped to apply these principles to their own lives and work.
Why Attend?
1. Deepen Your Understanding of Probability and Statistics:
Gain a robust foundation in the principles of probability and statistics.
Develop a keen eye for identifying patterns and anomalies.
Learn to apply probabilistic thinking to real-world problems.
2. Debunk Common Misconceptions About Randomness:
Uncover the truth behind cognitive biases that lead to flawed decision-making.
Learn to distinguish between true randomness and perceived patterns.
Develop a critical mindset to challenge assumptions and avoid fallacies.
3. Explore the Intersection of Randomness and Technology:
Discover the role of randomness in computer science, cryptography, and artificial intelligence.
Understand the power of randomized algorithms and their applications.
Gain insights into the future of technology and its reliance on probabilistic methods.
4. Network with Renowned Experts and Industry Leaders:
Connect with leading researchers, practitioners, and thought leaders in the field of randomness.
Engage in stimulating discussions and exchange ideas with like-minded individuals.
Build valuable professional relationships and expand your network.
5. Gain a Competitive Edge in a Data-Driven World:
Develop the skills to analyze data, make informed decisions, and mitigate risk.
Learn to leverage the power of randomness to innovate and solve complex problems.
Position yourself as a sought-after expert in a field that is increasingly important in today's digital age.
Sign up for updates - dates & details coming soon - secure your spot at this exclusive event!
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.
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'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.
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 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!