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

Individuals: Anyone interested in radically improving their life leveraging AI and Data Science.
Business Organizations: Executives, managers, and analysts seeking to leverage AI and Data Science for competitive advantage.
Non-Profit Organizations: Leaders and staff working to use technology for social good.
Government Agencies: Officials and policymakers shaping the future of AI and Data Science regulation and policy.
Education Institutions: Faculty, researchers, and students exploring the educational implications of AI and Data Science.
Government Officials.
Healthcare Professionals.
Tech Entrepreneurs.
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.

Kitzbühel's history dates back to the 12th century. It was originally a small market town, but its strategic location on a trade route between Bavaria and Venice contributed to its growth. The town's prosperity was further boosted by silver and copper mining in the 16th and 17th centuries.

While Kitzbühel has a rich history, it's perhaps best known today as a world-class ski resort. Its transformation into a winter sports destination began in the late 19th century, and it quickly gained popularity among European nobility and wealthy tourists.

Skiing and Snowboarding in Kitzbühel Ski Resort

Kitzbühel Ski Resort is renowned for its challenging slopes, stunning scenery, and luxurious accommodations. It's a popular destination for both experienced skiers and snowboarders.

Key features of the resort:

Hahnenkamm: This iconic mountain is home to the legendary Streif downhill course, one of the most challenging and dangerous slopes in the world. The annual Hahnenkamm Race is a prestigious event on the World Cup circuit.
Diverse Terrain: Kitzbühel offers a wide range of slopes, from gentle beginner runs to steep, challenging black runs.
Modern Lifts: The resort has a well-developed lift system, making it easy to access different parts of the mountain.
Après-Ski: Kitzbühel is famous for its vibrant après-ski scene, with numerous bars, restaurants, and clubs.

Whether you're a seasoned skier/rider or a beginner, Kitzbühel offers an unforgettable winter experience.

Nightlife in Kitzbühel

Kitzbühel's nightlife scene is as vibrant as its ski slopes. While it's not a city known for its late-night partying, it offers a variety of options for those looking to unwind after a day on the mountain.

Après-Ski: This is the heart of Kitzbühel's nightlife. Numerous bars and pubs offer live music, DJs, and a festive atmosphere.
Restaurants: From traditional Austrian cuisine to international fare, Kitzbühel has a diverse range of dining options. Many restaurants offer cozy ambiance and delicious food.
Bars and Clubs: While there aren't many nightclubs in the traditional sense, there are several bars and clubs that stay open late, offering cocktails, music, and dancing.

Food in Kitzbühel

Austrian cuisine is hearty and delicious, and Kitzbühel offers a wide range of traditional dishes. Some popular options include:

Kaiserschmarrn: A fluffy pancake dish often served with fruit compote and powdered sugar.
Wiener Schnitzel: A breaded and fried veal cutlet.
Apfelstrudel: A warm apple pastry dessert.

Kitzbühel also has a variety of international restaurants, offering everything from Italian pasta to Japanese sushi.

Casinos in Kitzbühel

Casino Kitzbühel is a popular destination for gaming and entertainment in the heart of the town. It offers a variety of gaming options, from classic table games to modern slot machines. In addition to gaming, the casino also features a restaurant, bar, and event space, making it a versatile venue for a night out.

For those who do not ski or snowboard, here are some cool adventures:

Tobogganing: Enjoy a thrilling ride down a snowy slope on a traditional toboggan.
Winter Hiking: Explore the stunning winter landscapes on guided or self-guided hikes.
Horse-Drawn Carriage Rides: Experience the charm of a traditional horse-drawn carriage ride through the snowy streets.
Ice Skating: Glide across the ice at the local rink, perfect for a romantic evening or family fun.
Curling: Try your hand at the popular winter sport of curling, a fun and social activity for all ages.

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 Kitzbühel Alps. 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

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

Kitzbühel's history dates back to the 12th century. It was originally a small market town, but its strategic location on a trade route between Bavaria and Venice contributed to its growth. The town's prosperity was further boosted by silver and copper mining in the 16th and 17th centuries.

While Kitzbühel has a rich history, it's perhaps best known today as a world-class ski resort. Its transformation into a winter sports destination began in the late 19th century, and it quickly gained popularity among European nobility and wealthy tourists.

Skiing and Snowboarding in Kitzbühel Ski Resort

Kitzbühel Ski Resort is renowned for its challenging slopes, stunning scenery, and luxurious accommodations. It's a popular destination for both experienced skiers and snowboarders.

Key features of the resort:

Hahnenkamm: This iconic mountain is home to the legendary Streif downhill course, one of the most challenging and dangerous slopes in the world. The annual Hahnenkamm Race is a prestigious event on the World Cup circuit.
Diverse Terrain: Kitzbühel offers a wide range of slopes, from gentle beginner runs to steep, challenging black runs.
Modern Lifts: The resort has a well-developed lift system, making it easy to access different parts of the mountain.
Après-Ski: Kitzbühel is famous for its vibrant après-ski scene, with numerous bars, restaurants, and clubs.

Whether you're a seasoned skier/rider or a beginner, Kitzbühel offers an unforgettable winter experience.

Nightlife in Kitzbühel

Kitzbühel's nightlife scene is as vibrant as its ski slopes. While it's not a city known for its late-night partying, it offers a variety of options for those looking to unwind after a day on the mountain.

Après-Ski: This is the heart of Kitzbühel's nightlife. Numerous bars and pubs offer live music, DJs, and a festive atmosphere.
Restaurants: From traditional Austrian cuisine to international fare, Kitzbühel has a diverse range of dining options. Many restaurants offer cozy ambiance and delicious food.
Bars and Clubs: While there aren't many nightclubs in the traditional sense, there are several bars and clubs that stay open late, offering cocktails, music, and dancing.

Food in Kitzbühel

Austrian cuisine is hearty and delicious, and Kitzbühel offers a wide range of traditional dishes. Some popular options include:

Kaiserschmarrn: A fluffy pancake dish often served with fruit compote and powdered sugar.
Wiener Schnitzel: A breaded and fried veal cutlet.
Apfelstrudel: A warm apple pastry dessert.

Kitzbühel also has a variety of international restaurants, offering everything from Italian pasta to Japanese sushi.

Casinos in Kitzbühel

Casino Kitzbühel is a popular destination for gaming and entertainment in the heart of the town. It offers a variety of gaming options, from classic table games to modern slot machines. In addition to gaming, the casino also features a restaurant, bar, and event space, making it a versatile venue for a night out.

For those who do not ski or snowboard, here are some cool adventures:

Tobogganing: Enjoy a thrilling ride down a snowy slope on a traditional toboggan.
Winter Hiking: Explore the stunning winter landscapes on guided or self-guided hikes.
Horse-Drawn Carriage Rides: Experience the charm of a traditional horse-drawn carriage ride through the snowy streets.
Ice Skating: Glide across the ice at the local rink, perfect for a romantic evening or family fun.
Curling: Try your hand at the popular winter sport of curling, a fun and social activity for all ages.

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 Kitzbühel Alps. 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

Kitzbühel's history dates back to the 12th century. It was originally a small market town, but its strategic location on a trade route between Bavaria and Venice contributed to its growth. The town's prosperity was further boosted by silver and copper mining in the 16th and 17th centuries.

While Kitzbühel has a rich history, it's perhaps best known today as a world-class ski resort. Its transformation into a winter sports destination began in the late 19th century, and it quickly gained popularity among European nobility and wealthy tourists.

Skiing and Snowboarding in Kitzbühel Ski Resort

Kitzbühel Ski Resort is renowned for its challenging slopes, stunning scenery, and luxurious accommodations. It's a popular destination for both experienced skiers and snowboarders.

Key features of the resort:

Hahnenkamm: This iconic mountain is home to the legendary Streif downhill course, one of the most challenging and dangerous slopes in the world. The annual Hahnenkamm Race is a prestigious event on the World Cup circuit.
Diverse Terrain: Kitzbühel offers a wide range of slopes, from gentle beginner runs to steep, challenging black runs.
Modern Lifts: The resort has a well-developed lift system, making it easy to access different parts of the mountain.
Après-Ski: Kitzbühel is famous for its vibrant après-ski scene, with numerous bars, restaurants, and clubs.

Whether you're a seasoned skier/rider or a beginner, Kitzbühel offers an unforgettable winter experience.

Nightlife in Kitzbühel

Kitzbühel's nightlife scene is as vibrant as its ski slopes. While it's not a city known for its late-night partying, it offers a variety of options for those looking to unwind after a day on the mountain.

Après-Ski: This is the heart of Kitzbühel's nightlife. Numerous bars and pubs offer live music, DJs, and a festive atmosphere.
Restaurants: From traditional Austrian cuisine to international fare, Kitzbühel has a diverse range of dining options. Many restaurants offer cozy ambiance and delicious food.
Bars and Clubs: While there aren't many nightclubs in the traditional sense, there are several bars and clubs that stay open late, offering cocktails, music, and dancing.

Food in Kitzbühel

Austrian cuisine is hearty and delicious, and Kitzbühel offers a wide range of traditional dishes. Some popular options include:

Kaiserschmarrn: A fluffy pancake dish often served with fruit compote and powdered sugar.
Wiener Schnitzel: A breaded and fried veal cutlet.
Apfelstrudel: A warm apple pastry dessert.

Kitzbühel also has a variety of international restaurants, offering everything from Italian pasta to Japanese sushi.

Casinos in Kitzbühel

Casino Kitzbühel is a popular destination for gaming and entertainment in the heart of the town. It offers a variety of gaming options, from classic table games to modern slot machines. In addition to gaming, the casino also features a restaurant, bar, and event space, making it a versatile venue for a night out.

For those who do not ski or snowboard, here are some cool adventures:

Tobogganing: Enjoy a thrilling ride down a snowy slope on a traditional toboggan.
Winter Hiking: Explore the stunning winter landscapes on guided or self-guided hikes.
Horse-Drawn Carriage Rides: Experience the charm of a traditional horse-drawn carriage ride through the snowy streets.
Ice Skating: Glide across the ice at the local rink, perfect for a romantic evening or family fun.
Curling: Try your hand at the popular winter sport of curling, a fun and social activity for all ages.

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 Kitzbühel Alps. 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 a probabilistic approach to decision-making​ at the conference!