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!

Healthcare Professionals: Professionals looking to improve healthcare decision-making using data science techniques and data-driven biomedical sciences technologies.

Biomedical Sciences Professionals: Professionals involved in the biomedical sciences who can benefit from AI-powered strategies and tools.

AI and Data Science Professionals:

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

Healthcare Executives and Administrators: Anyone working in healthcare and biomedical sciences who wants to stay up-to-date on the latest trends and innovations.

Government Officials and Regulators: Policymakers and regulators shaping the regulatory landscape for AI-driven healthcare and biomedical sciences services.

Medical & Science Regulators: Policymakers responsible for overseeing healthcare and biomedical sciences can benefit from understanding the implications of AI and data science on costs, consumer protection, ethics and healthcare market integrity.

Entrepreneurs and Investors: Individuals involved in starting and funding new technology companies in the healthcare and biomedical sciences space.

Medical Device Manufacturers: Professionals involved in developing and producing medical devices.

Clinical Researchers: Professionals conducting clinical trials and research studies.

Bioinformaticians: Scientists specializing in computational biology and bioinformatics.

Pharmaceutical Industry Professionals: Individuals working in drug discovery, development, and manufacturing.

Academics and researchers studying the intersection of healthcare, biomedical sciences and technology: Scholars and researchers exploring the theoretical and practical aspects of AI in biomedical sciences.

Economists: Researchers and analysts can explore the economic implications of AI-driven biomedical sciences 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 healthcare and biomedical sciences data.

AI-Driven Healthcare

AI for Precision Medicine

Leveraging AI for personalized treatment plans
Predictive modeling for disease prevention
AI-powered drug discovery and development

AI-Enhanced Medical Imaging

AI-assisted image analysis and interpretation
Real-time image processing for surgical guidance
AI for early disease detection

AI-Powered Clinical Decision Support Systems

AI-driven clinical decision support tools
Natural language processing for medical records
AI-enabled patient monitoring and alert systems

Data Science for Healthcare

Smart & Big Data Analytics in Healthcare

Analyzing large-scale healthcare datasets
Identifying trends and patterns in healthcare data
Using data mining techniques for healthcare insights

Machine Learning for Healthcare

Machine learning algorithms for disease prediction
Developing predictive models for patient outcomes
Using machine learning for medical image analysis

Data Privacy and Security in Healthcare

Protecting patient data and privacy
Implementing robust data security measures
Ethical considerations in healthcare data science

Emerging Technologies in Healthcare

Wearable Technology and Health Monitoring

Real-time health data tracking with wearables
AI-powered wearable devices for personalized health insights
Integrating wearable data into clinical workflows

Smartphone Apps for Health and Wellness

Mobile health apps for disease management
AI-powered smartphone apps for mental health
Telehealth and remote patient monitoring

Personalized Medicine and Gene Editing

Gene analysis and genetic testing
Gene therapy and precision medicine
Ethical implications of genetic engineering

Key Topics and Discussions

AI-Powered Healthcare: How AI is transforming healthcare delivery, from diagnosis to treatment.
Data Science for Healthcare: Leveraging data science to uncover insights, improve patient outcomes, and optimize healthcare systems.
Emerging Technologies: Exploring the latest advancements in wearable technology, smartphone apps, and personalized medicine.
Mental Health Tech: The role of technology in addressing mental health challenges.
Ethical Considerations: Discussing the ethical implications of AI, data science, and emerging technologies in healthcare.

Telluride, Colorado, is a historic mining town nestled in a box canyon surrounded by towering peaks. The town's Victorian architecture and charming streets exude a timeless appeal. In winter, it transforms into a world-class ski resort with challenging slopes and breathtaking scenery.

In summer, hikers and mountain bikers flock to the area to explore the rugged wilderness. The town's lively atmosphere, with its art galleries, festivals, and gourmet restaurants, makes it a popular destination for both outdoor enthusiasts and culture seekers.

Telluride Ski Resort is a world-class ski resort nestled in the San Juan Mountains of Colorado. Known for its stunning scenery, challenging terrain, and lack of crowds, it offers a unique skiing and snowboarding experience. The resort boasts over 2,000 skiable acres, including the iconic Revelation Bowl, which offers advanced and expert terrain with breathtaking views. Telluride also caters to skiers and riders of all levels, with plenty of beginner and intermediate runs.

The town of Telluride itself is a charming historic district with a variety of dining, shopping, and cultural attractions. Here are some cool adventures in Telluride:

Heli-skiing: Experience an adrenaline-pumping adventure through pristine powder and breathtaking mountain scenery.

Skiing and Snowboarding at Telluride Ski Resort: Experience world-class skiing and snowboarding on over 2,000 acres of terrain, including the iconic Revelation Bowl.

Hiking and Mountain Biking: Explore the stunning San Juan Mountains on a variety of trails, from easy hikes to challenging mountain bike routes.

Whitewater Rafting: Embark on a thrilling whitewater rafting adventure on the Animas River, with options for all skill levels.

Jeep Tours: Take a guided jeep tour through the stunning mountain scenery, learning about the area's history and geology.

Scenic Gondola Ride: Ride the gondola to the top of the mountain for panoramic views of the town and surrounding peaks.

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 Colorado Rockies. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

This conference is a premier gathering for healthcare and biosciences professionals, clinicians, data scientists, AI engineers, investors, policy makers, regulators and leaders to explore the profound impact of artificial intelligence and data science on the healthcare landscape. The event will showcase cutting-edge research, innovative applications, and critical discussions on the future of healthcare.

We invite you to contribute your expertise and join us in shaping the future of AI-driven healthcare. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that present original research, practical applications, and critical analyses.

Main Conference Subject Areas

AI for Precision Medicine

This track focuses on the application of AI to tailor healthcare to the individual, moving beyond a one-size-fits-all approach. We encourage submissions on:

Leveraging AI for personalized treatment plans: How AI algorithms are used to create individualized therapeutic strategies based on patient data.

Predictive modeling for disease prevention: The use of AI to identify at-risk patients and enable proactive interventions.

AI-powered drug discovery and development: Discussing how AI accelerates the identification of new drug targets and the development of novel therapies.

AI-Enhanced Medical Imaging

This track explores the transformative role of AI in analyzing and interpreting medical images. We are particularly interested in:

AI-assisted image analysis and interpretation: The use of AI to enhance the accuracy and speed of medical image diagnosis across modalities like X-rays, CT scans, and MRIs.

Real-time image processing for surgical guidance: Innovative applications of AI to assist surgeons during complex procedures.

AI for early disease detection: How AI models are trained to identify subtle signs of disease that may be missed by the human eye, enabling earlier intervention.

AI-Powered Clinical Decision Support Systems

This track examines how AI tools empower healthcare professionals with data-driven insights to improve patient care. We welcome submissions on:

AI-driven clinical decision support tools: The development and implementation of systems that provide clinicians with evidence-based recommendations.

Natural language processing for medical records: Using NLP to extract meaningful insights from unstructured clinical notes and patient records.

AI-enabled patient monitoring and alert systems: Real-time monitoring of patient data to detect critical changes and alert staff, particularly in high-acuity settings.

Data Science for Healthcare

This track covers the foundational data science techniques and methodologies that underpin AI applications in healthcare. We welcome submissions related to:

Smart & Big Data Analytics in Healthcare: How to analyze large-scale healthcare datasets to identify trends, patterns, and insights that improve patient outcomes and optimize healthcare systems.

Machine Learning for Healthcare: Applications of machine learning algorithms for disease prediction, patient outcome forecasting, and medical image analysis.

Data Privacy and Security in Healthcare: Critical discussions on protecting patient data, implementing robust security measures, and navigating the ethical and legal frameworks of healthcare data science.

Emerging Technologies in Healthcare

This track showcases the latest technological advancements that are poised to redefine healthcare delivery. We encourage submissions on:

Wearable Technology and Health Monitoring: The use of wearable devices for real-time health data tracking and the integration of this data into clinical workflows.

Smartphone Apps for Health and Wellness: The role of mobile apps in disease management, mental health support, and telehealth services.

Personalized Medicine and Gene Editing: The intersection of gene analysis, genetic testing, gene therapy, and the ethical implications of genetic engineering.

Key Topics and Discussions

Beyond the specific tracks, we are seeking submissions that address these overarching themes:

AI-Powered Healthcare: How AI is fundamentally transforming healthcare delivery, from diagnosis to treatment.

Data Science for Healthcare: Leveraging data science to uncover insights, improve patient outcomes, and optimize healthcare systems.

Emerging Technologies: Exploring the latest advancements in wearable technology, smartphone apps, and personalized medicine.

Mental Health Tech: The role of technology, including AI, in addressing mental health challenges.

Ethical Considerations: A critical discussion on the ethical implications of AI, data science, and emerging technologies in healthcare, including issues of bias, privacy, and accountability.

Submission Types

We invite diverse contributions to enrich our program:

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

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

Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, industry leaders, and innovators to share valuable lessons learned, practical case studies, and insightful perspectives on the challenges and successes of implementing AI and data science in real-world healthcare settings. 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 in healthcare.

Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to AI development or data science for healthcare.

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 medicine, data science, AI, and bioethics. 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 and insightful conference!

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 Science & AI Professionals:

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

Technology Professionals:

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

Government Officials and Regulators:

Policymakers and Regulators: Individuals shaping the regulatory landscape for AI and machine learning.
Regulatory Agencies: Organizations responsible for overseeing AI development and deployment.

Business and Industry Professionals:

Financial Institutions: Banks, investment firms, and fintech companies.
Healthcare Providers: Hospitals, clinics, and health insurance companies.
Autonomous Vehicle Developers: Companies working on self-driving cars and trucks.
Cybersecurity Firms: Companies specializing in cybersecurity solutions.
Technology Companies: Organizations developing and deploying AI-powered products and services.

Academic and Research Community:

Researchers and Academics: Scholars studying AI, machine learning, and cybersecurity.
Students and Graduate Students: Individuals pursuing advanced degrees in related fields.

Additional Considerations:

Ethical AI Practitioners: Individuals concerned with the ethical implications of AI and machine learning.
Legal Professionals: Lawyers specializing in technology law and intellectual property.
Consultants: Cybersecurity consultants and AI consultants.

Foundations of Adversarial Machine Learning


Welcome and Opening Remarks

Introduction to the conference and its objectives
Overview of the conference agenda

A Deep Dive into Adversarial Attacks

Taxonomy & Terminology of Attacks & Mitigations
A comprehensive overview of attack techniques: data poisoning, evasion attacks, model extraction, and backdoor attacks
Real-world examples of adversarial attacks and their consequences

Defending Against Adversarial Attacks

Overview of defense strategies: adversarial training, input validation, and robust optimization
Practical techniques for implementing defenses in machine learning systems

Panel Discussion: Challenges and Future Directions of AML research and development




Adversarial Machine Learning in Practice


Real-world Applications and Case Studies

Case studies of adversarial attacks in various domains (e.g., autonomous vehicles, healthcare, finance)
Lessons learned and best practices for mitigating risks


Adversarial Attacks on Deep Neural Networks

Specific challenges and vulnerabilities of deep learning models
Advanced techniques for attacking and defending deep neural networks


Workshop: Hands-on Adversarial Attack and Defense Techniques

Practical exercises to understand and implement adversarial attacks and defenses


Emerging Trends and Future Directions


Emerging Trends in Adversarial Machine Learning

Future directions in AML research
Novel attack and defense techniques
Ethical considerations in AML research

Adversarial Machine Learning in the Age of AI

The impact of AI on the landscape of adversarial attacks and defenses
Future challenges and opportunities in the field of AML

Closing Remarks and Networking

Recap of key takeaways from the conference
Future collaborations and partnerships
Networking opportunities for attendees

Telluride, Colorado, is a historic mining town nestled in a box canyon surrounded by towering peaks. The town's Victorian architecture and charming streets exude a timeless appeal. In winter, it transforms into a world-class ski resort with challenging slopes and breathtaking scenery.

In summer, hikers and mountain bikers flock to the area to explore the rugged wilderness. The town's lively atmosphere, with its art galleries, festivals, and gourmet restaurants, makes it a popular destination for both outdoor enthusiasts and culture seekers.

Telluride Ski Resort is a world-class ski resort nestled in the San Juan Mountains of Colorado. Known for its stunning scenery, challenging terrain, and lack of crowds, it offers a unique skiing and snowboarding experience. The resort boasts over 2,000 skiable acres, including the iconic Revelation Bowl, which offers advanced and expert terrain with breathtaking views. Telluride also caters to skiers and riders of all levels, with plenty of beginner and intermediate runs.

The town of Telluride itself is a charming historic district with a variety of dining, shopping, and cultural attractions. Here are some cool adventures in Telluride:

Heli-skiing: Experience an adrenaline-pumping adventure through pristine powder and breathtaking mountain scenery.

Skiing and Snowboarding at Telluride Ski Resort: Experience world-class skiing and snowboarding on over 2,000 acres of terrain, including the iconic Revelation Bowl.

Hiking and Mountain Biking: Explore the stunning San Juan Mountains on a variety of trails, from easy hikes to challenging mountain bike routes.

Whitewater Rafting: Embark on a thrilling whitewater rafting adventure on the Animas River, with options for all skill levels.

Jeep Tours: Take a guided jeep tour through the stunning mountain scenery, learning about the area's history and geology.

Scenic Gondola Ride: Ride the gondola to the top of the mountain for panoramic views of the town and surrounding peaks.

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 Colorado Rockies. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

This conference is a critical forum for AI, technology and data science professionals, security experts, business and industry professionals and government officials and regulators to address the evolving challenges of securing machine learning systems. It will serve as a hub for exploring the latest adversarial attacks, defense strategies, and ethical considerations in this rapidly growing field.



We invite you to contribute your expertise and join a community dedicated to building more robust and trustworthy AI. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that showcase original research, practical applications, and forward-looking analyses.



Main Conference Subject Areas


Foundations of Adversarial Machine Learning


This track will establish a common understanding of the adversarial landscape, from basic concepts to complex attack methodologies. We encourage submissions on:



Welcome and Opening Remarks: We are seeking a keynote that provides a comprehensive introduction to the conference and an overview of the current state of adversarial machine learning.

A Deep Dive into Adversarial Attacks:

A comprehensive taxonomy and terminology of attacks and mitigations.
An overview of key attack techniques, including data poisoning, evasion attacks, model extraction, and backdoor attacks.
Real-world examples of adversarial attacks and a discussion of their consequences across different sectors.

Defending Against Adversarial Attacks:

Overviews of defense strategies such as adversarial training, input validation, and robust optimization.
Practical techniques for implementing effective defenses in real-world machine learning systems.

Panel Discussion: Proposals for a panel that debates the challenges and future directions of AML research and development.




Adversarial Machine Learning in Practice


This track focuses on the real-world application and impact of adversarial machine learning across various domains. We are particularly interested in:



Real-world Applications and Case Studies:

Case studies of adversarial attacks in specific domains like autonomous vehicles, healthcare, and finance.
Sharing lessons learned and best practices for mitigating adversarial risks in practical settings.

Adversarial Attacks on Deep Neural Networks:

Discussions on the unique challenges and vulnerabilities of deep learning models.
Advanced techniques for both attacking and defending deep neural networks.

Workshop: Proposals for hands-on sessions where attendees can get practical experience with adversarial attack and defense techniques.




Emerging Trends and Future Directions


This track will explore the cutting-edge of adversarial machine learning and its future trajectory. We welcome submissions on:



Emerging Trends in Adversarial Machine Learning:

Future directions in AML research and predictions for the field.
Novel attack and defense techniques that are currently in development.
Ethical considerations and responsible conduct in AML research.

Adversarial Machine Learning in the Age of AI:

The broader impact of AI on the landscape of adversarial attacks and defenses.
Future challenges and opportunities for securing increasingly complex AI systems.

Closing Remarks and Networking: We are also seeking a closing speaker to provide a summary of the conference's key takeaways.


Submission Types


We welcome a variety of contributions to ensure a rich and diverse program:



Oral Presentations (20 minutes): Share your research findings, innovative applications, or case studies 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 designed for practitioners and industry leaders to share valuable lessons learned, practical case studies, and insightful perspectives on the challenges and successes of dealing with adversarial threats in real-world systems. Submissions will be peer-reviewed for clarity, relevance, and practical value.

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

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

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


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 machine learning, cybersecurity, and related 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 practical applicability


We look forward to your valuable contributions and to a stimulating discussion on securing the future of AI!

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

Telluride, Colorado, is a historic mining town nestled in a box canyon surrounded by towering peaks. The town's Victorian architecture and charming streets exude a timeless appeal. In winter, it transforms into a world-class ski resort with challenging slopes and breathtaking scenery.

In summer, hikers and mountain bikers flock to the area to explore the rugged wilderness. The town's lively atmosphere, with its art galleries, festivals, and gourmet restaurants, makes it a popular destination for both outdoor enthusiasts and culture seekers.

Telluride Ski Resort is a world-class ski resort nestled in the San Juan Mountains of Colorado. Known for its stunning scenery, challenging terrain, and lack of crowds, it offers a unique skiing and snowboarding experience. The resort boasts over 2,000 skiable acres, including the iconic Revelation Bowl, which offers advanced and expert terrain with breathtaking views. Telluride also caters to skiers and riders of all levels, with plenty of beginner and intermediate runs.

The town of Telluride itself is a charming historic district with a variety of dining, shopping, and cultural attractions. Here are some cool adventures in Telluride:

Heli-skiing: Experience an adrenaline-pumping adventure through pristine powder and breathtaking mountain scenery.

Skiing and Snowboarding at Telluride Ski Resort: Experience world-class skiing and snowboarding on over 2,000 acres of terrain, including the iconic Revelation Bowl.

Hiking and Mountain Biking: Explore the stunning San Juan Mountains on a variety of trails, from easy hikes to challenging mountain bike routes.

Whitewater Rafting: Embark on a thrilling whitewater rafting adventure on the Animas River, with options for all skill levels.

Jeep Tours: Take a guided jeep tour through the stunning mountain scenery, learning about the area's history and geology.

Scenic Gondola Ride: Ride the gondola to the top of the mountain for panoramic views of the town and surrounding peaks.

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 Colorado Rockies. We will fly you to remote, pristine snowfields where you will experience the ultimate powder skiing adventure. Our experienced guides will lead you to the best terrain, ensuring a safe and unforgettable experience.

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


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



Main Conference Subject Areas


Foundations of Randomness


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



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


The Illusion of Control


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



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


Harnessing Randomness


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



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


Submission Types


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



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


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


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


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


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


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


Submission Guidelines


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


Review Process


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



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


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