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!

This conference is meticulously designed for a diverse group of professionals and researchers eager to understand, leverage, and ethically govern emerging technologies. Our target audience includes, but is not limited to:



Data Scientists & Analysts: Professionals working with large datasets, machine learning, and AI, seeking to understand the impact of new AI platforms, quantum data processing, and advanced analytics tools.


AI/ML Engineers & Developers: Individuals building and deploying AI models, interested in the latest advancements in generative AI, LLMs, MLOps, and the integration of AI into specialized domains.


Technology Ethicists & Policy Makers: Researchers, legal professionals, government officials, and policymakers focused on the societal impact, ethical implications, data privacy, and regulatory frameworks for emerging technologies (e.g., neurorights, dual-use research governance, responsible AI).


Biotechnology & Life Sciences Professionals: Scientists, researchers, and industry leaders in genomics, human embryology, and engineering biology, particularly those concerned with organoid oversight, gene editing ethics, and biosecurity.


Defense & Security Analysts: Professionals from national security, intelligence, and defense sectors interested in the implications of quantum computing for cryptography, the use of drones in various operations, and the evolving nature of chemical/biological warfare and psychological operations (5th dimensional warfare).


Academics & Researchers: Professors, post-doctoral researchers, and graduate students across computer science, engineering, biology, ethics, law, and social sciences, seeking to present their latest findings and collaborate on interdisciplinary challenges.


R&D Directors & Innovation Leaders: Executives and managers responsible for strategic technology adoption, R&D roadmaps, and identifying future growth areas for their organizations.


IT & Cloud Architects: Professionals designing and managing data infrastructure, interested in data mesh architectures, multi-cloud strategies, and scalable platforms for AI and emerging tech.


Robotics & Autonomous Systems Engineers: Specialists in drone technology, autonomous flight systems, and urban air mobility.


Venture Capitalists & Investors: Individuals and firms looking for insights into the next wave of disruptive technologies and their market potential.


Public Health & Biodefense Specialists: Experts focusing on disease prevention, biological threats, and the governance of dual-use research.


Journalists & Tech Writers: Media professionals specializing in technology, science, and societal impact, seeking to deepen their understanding of complex emerging tech topics.

The summit will feature focused tracks and sessions across the following critical domains:



AI: The Next Frontier of Data Platforms


Generative AI, Large Language Models (LLMs), and their applications in data synthesis, analytics, and content generation.
AI-powered automation, no-code solutions, and intelligent workflow optimization.
Data mesh architectures, multi-cloud strategies, and scalable AI infrastructure.
Ethical AI, algorithmic bias, fairness, transparency, and data governance in AI systems.
Real-world case studies and industry-specific applications of AI in business, advertising, CRM, and sales enablement.


Quantum Computing: From Theory to Utility-Scale


Advancements in qubit technology and quantum error correction (QEC).
Practical applications and use cases in defense, semiconductors, and other industries.
Roadmaps and timelines for utility-scale quantum computing.
Quantum sensing technologies and their deployment.
The impact of quantum computing on data security and cryptography.


Drones: Autonomous Systems and Societal Impact


Breakthroughs in autonomous flight, AI integration, and real-time decision-making for drones.
Advanced sensor technologies for enhanced data collection (e.g., multispectral, thermal, 3D mapping).
Urban Air Mobility (UAM), eVTOLs, and the future of drone logistics and delivery.
Regulatory developments for Beyond Visual Line of Sight (BVLOS) operations and Remote ID.
Ethical considerations and public perception of widespread drone deployment.


Biosecurity, Dual-Use, and Emerging Biological Threats


The challenges of dual-use research in life sciences and its governance.
Strengthening biosecurity measures to prevent intentional misuse of biological agents.
Ethical considerations and oversight of Gain-of-Function (GoF) research.
International cooperation and strengthening conventions for biological weapons control.
Future biological threats and preparedness strategies.


Psychological Warfare & 5th Dimensional Warfare Methods


The evolution of psychological operations in the digital age.
Information warfare, disinformation campaigns, and perception management.
The role of biotechnology and neurotechnology in cognitive and behavioral manipulation (dual-use concerns).
Understanding and countering "invisible" warfare tactics.
Ethical considerations of influencing human minds through technology.


Genomics & Engineering Biology: Frontiers and Ethical Frameworks


Advances in gene editing technologies (e.g., CRISPR-Cas9) and their therapeutic applications.
Organoids: Utility in preclinical testing, regulatory considerations, and consent-to-govern approaches.
Synthetic biology applications in therapeutics, materials science, and sustainable solutions.
AI acceleration in drug discovery, genetic analysis, and protein design.
Ethical, ecological, and security challenges in engineering biology.


Human Embryology & Neurotechnology: Identity, Autonomy, and Regulation


AI in embryo selection and its impact on assisted reproductive technologies (ART).
Ethical, legal, and clinical governance challenges in AI-driven embryology.
Neurotechnology advancements for medical and non-medical applications.
Data privacy in neurotechnology: protecting highly sensitive "neural data."
Dual-use concerns of neurotechnology and the potential for non-consensual manipulation.
Proactive ethical guidelines: "Neurorights" and international legislative efforts (e.g., Chile's amendment).

Aspen/Snowmass is a world-renowned winter resort destination in Colorado, known for its stunning mountain scenery, world-class skiing and snowboarding, and upscale atmosphere. It's actually a complex of four ski areas:

Aspen Mountain: The "Silver Queen Mountain," known for its challenging terrain and stunning views of the town of Aspen.

Aspen Highlands: A skier's mountain with diverse terrain, including steep cliffs and wide-open bowls.

Buttermilk: A family-friendly mountain with gentle slopes, perfect for beginners and children. It's also home to the Winter X Games.

Snowmass: The largest of the four mountains, offering a wide variety of terrain, from gentle slopes to challenging expert runs.

Beyond skiing and snowboarding, Aspen/Snowmass offers a variety of winter activities, such as snowshoeing, ice skating, and sleigh rides. In the summer, the area transforms into a popular destination for hiking, biking, golfing, and other outdoor activities.

Aspen/Snowmass is also known for its luxury accommodations, fine dining, and vibrant nightlife. It's a popular destination for celebrities and wealthy individuals, and it can be quite expensive. However, it's also a beautiful and exciting place to visit, whether you're a skier, a hiker, or simply looking to enjoy the stunning mountain scenery.

In addition to great skiing/riding, here are some cool things to do:

Hike to Maroon Bells: This iconic hike offers stunning views of two of Colorado's most photographed peaks.
Mountain Bike in Snowmass Bike Park: With miles of trails for all skill levels, this bike park is a must-visit for mountain bikers.
Raft the Roaring Fork River: Experience the thrill of whitewater rafting on this scenic river.
Soak in the Hot Springs at Glenwood Springs: Relax your muscles and rejuvenate your body at these natural hot springs.
Explore the Ghost Town of Ashcroft: Step back in time and wander through this historic ghost town.

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

Join us for a thrilling day of heli-skiing in the heart of the 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 event will serve as a vital forum for data scientists, AI engineers, investors, policymakers, regulators, researchers, ethicists, and industry leaders to explore how advancements in AI, quantum computing, drones, and biotechnologies are reshaping our world, and to critically examine the profound societal implications of their convergence.



We invite you to share your expertise and contribute to a global dialogue on these critical topics. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that showcase original research, innovative solutions, and forward-looking analysis.



AI: The Next Frontier of Data Platforms


This track will explore the transformative impact of Artificial Intelligence on how we manage, analyze, and leverage data. We encourage submissions on:



Generative AI and Large Language Models (LLMs): Their applications in data synthesis, analytics, and content generation.

AI-powered automation and intelligent workflow optimization: The use of AI to create no-code solutions and streamline business processes.

Scalable AI infrastructure: Discussions on data mesh architectures, multi-cloud strategies, and the technical challenges of deploying AI at scale.

Ethical AI: Algorithmic bias, fairness, transparency, and data governance in AI systems.

Real-world case studies: Industry-specific applications of AI in business, advertising, CRM, and sales enablement.


Quantum Computing: From Theory to Utility-Scale


This track will bridge the gap between theoretical quantum science and practical applications, exploring the path to utility-scale quantum computing. We welcome submissions on:



Advancements in qubit technology and quantum error correction (QEC).

Practical applications and use cases: The potential of quantum computing in defense, semiconductors, and other industries.

Roadmaps and timelines for utility-scale quantum computing.

Quantum sensing technologies and their deployment.

The impact of quantum computing on data security and cryptography, including post-quantum cryptographic solutions.


Drones: Autonomous Systems and Societal Impact


This track will focus on the rapid evolution of drone technology and its widespread societal implications. We are particularly interested in submissions on:



Breakthroughs in autonomous flight: AI integration and real-time decision-making for drones.

Advanced sensor technologies: Their use for enhanced data collection (e.g., multispectral, thermal, 3D mapping).

Urban Air Mobility (UAM), eVTOLs, and drone logistics: The future of delivery and transportation.

Regulatory developments: Navigating Beyond Visual Line of Sight (BVLOS) operations and Remote ID.

Ethical considerations and public perception of widespread drone deployment.


Biosecurity, Dual-Use, and Emerging Biological Threats


This track will critically examine the security and ethical challenges posed by advancements in life sciences. We encourage submissions on:



Dual-use research: The challenges of governing life sciences research with both beneficial and harmful potential.

Strengthening biosecurity measures: Strategies to prevent the intentional misuse of biological agents.

Gain-of-Function (GoF) research: Ethical considerations and oversight of high-risk biological research.

International cooperation and future threats: Strategies for strengthening conventions for biological weapons control and preparing for emerging biological threats.


Psychological Warfare & 5th Dimensional Warfare Methods


This track will explore the evolution of conflict in the digital age, focusing on non-physical and cognitive domains. We welcome submissions on:



Information warfare: The evolution of psychological operations, disinformation campaigns, and perception management.

Biotechnology and neurotechnology in cognitive manipulation: Dual-use concerns regarding technologies that can influence human behavior.

Countering "invisible" warfare tactics.

Ethical considerations of influencing human minds through technology.


Genomics & Engineering Biology: Frontiers and Ethical Frameworks


This track will showcase the latest advancements in gene editing and synthetic biology, alongside their ethical and security implications. We are particularly interested in submissions on:



Advances in gene editing technologies (e.g., CRISPR-Cas9): Therapeutic applications and ethical governance.

Organoids: Their utility in preclinical testing, regulatory considerations, and consent-to-govern approaches.

Synthetic biology applications: Their use in therapeutics, materials science, and sustainable solutions.

AI acceleration: Its role in drug discovery, genetic analysis, and protein design.

Ethical, ecological, and security challenges in engineering biology.


Human Embryology & Neurotechnology: Identity, Autonomy, and Regulation


This track will address the profound ethical, legal, and social challenges at the intersection of human embryology and neurotechnology. We encourage submissions on:



AI in embryo selection: Its impact on assisted reproductive technologies (ART) and the associated ethical and clinical governance challenges.

Neurotechnology advancements: Dual-use concerns, data privacy of highly sensitive "neural data," and the potential for non-consensual manipulation.

Proactive ethical guidelines: Discussions on "Neurorights" and international legislative efforts to protect human identity and autonomy.


Submission Types


We invite diverse contributions to enrich our 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 for practitioners, policymakers, and ethicists to share valuable lessons learned, practical implementations, and insightful perspectives on the challenges and successes of navigating these complex technologies. 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 these convergent fields.

Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to any of 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, theoretical, or ethical concepts clearly to a diverse audience.
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 their respective 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 and collaborative 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!

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

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

AI and Data Science Professionals:

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

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

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

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

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

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

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

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

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

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

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

AI-Driven Financial Innovation

Generative AI and Financial Services:

How generative AI models are transforming financial services, from automated content generation to advanced financial forecasting.
Case studies of successful implementations of generative AI in financial institutions.

AI-Enhanced Decision Making in Finance:

Utilizing AI to improve decision-making processes in areas like risk management, fraud detection, and algorithmic trading.
The impact of AI on regulatory compliance and reporting.
Exploring the potential of AI to optimize portfolio management and investment strategies.

AI for the Future of Finance

AI and the Rise of Decentralized Finance (DeFi):

Exploring the intersection of AI and DeFi, including smart contract automation, decentralized exchanges, and yield farming.
The potential of AI to enhance the security and efficiency of DeFi platforms.
Regulatory challenges and opportunities in the AI-DeFi space.

AI and the Future of Work in Finance

The impact of AI on the future of jobs in the financial industry.
Reskilling and upskilling initiatives to prepare the workforce for an AI-driven future.

AI and the Global Financial Landscape:

The role of AI in shaping the global financial system.
Cross-border collaboration and international standards for AI in finance.
The geopolitical implications of AI-powered financial innovation.

FinTech and Innovation

Blockchain and Cryptocurrency:

The latest advancements in blockchain technology and its applications in finance.
Exploring the potential of cryptocurrencies and digital assets.
Regulatory challenges and opportunities in the blockchain and cryptocurrency space.

Digital Payments:

The future of digital payments, including mobile payments, contactless payments, and biometric authentication.
The role of AI in enhancing payment security and fraud prevention.
The impact of digital payments on financial inclusion and economic growth.

Advanced Financial Modeling and Prediction

AI-Driven Predictive Analytics

Machine Learning for Market Forecasting: Leveraging advanced machine learning algorithms to identify patterns and trends in historical market data.

Natural Language Processing (NLP) for Sentiment Analysis: Utilizing NLP techniques to extract insights from news articles, social media, and other textual data.

Time Series Analysis and Forecasting: Applying statistical methods and machine learning to forecast future values of financial time series.

Risk Assessment and Management

AI-Powered Risk Modeling: Developing sophisticated risk models that incorporate various factors, including economic indicators, geopolitical events, and market volatility.

Stress Testing and Scenario Analysis: Utilizing AI to simulate different economic scenarios and assess their potential impact on financial portfolios.

Fraud Detection and Prevention: Employing machine learning techniques to identify anomalies and fraudulent activities in financial transactions.

Portfolio Optimization and Algorithmic Trading

Reinforcement Learning for Algorithmic Trading: Training AI agents to make optimal trading decisions through trial and error.
Portfolio Optimization with AI: Using AI to construct diversified portfolios that maximize returns and minimize risk.
High-Frequency Trading (HFT) with AI: Leveraging AI to execute trades at high speeds to capitalize on market inefficiencies.

Algorithmic Trading and Investment Strategies

Advanced Algorithmic Trading Techniques

Machine Learning for Trading Signals: Utilizing machine learning algorithms to identify profitable trading opportunities.
Statistical Arbitrage: Employing statistical techniques to identify pricing discrepancies and profit from them.
High-Frequency Trading (HFT): Exploring the challenges and opportunities of executing trades at high speeds.

Portfolio Optimization and Risk Management

Mean-Variance Optimization: Using statistical methods to balance risk and return in investment portfolios.
Factor Investing: Identifying and exploiting systematic factors that drive stock returns.
Risk Parity: Constructing portfolios that allocate risk equally across different asset classes.

Behavioral Finance and Algorithmic Trading

Behavioral Biases and Algorithmic Trading: Understanding how behavioral biases can impact investment decisions and developing strategies to mitigate them.
Social Sentiment Analysis: Leveraging social media data to gauge market sentiment and identify potential trading opportunities.
Quantitative Behavioral Finance: Combining quantitative methods with behavioral insights to improve investment decision-making.

AI for Personalized Financial Advice:

Leveraging AI to provide tailored financial advice, including investment strategies, retirement planning, and wealth management.
The role of natural language processing (NLP) in enhancing client interactions.

AI for Credit Scoring and Lending:

Leveraging AI to improve credit scoring models and make more accurate lending decisions.
The impact of AI on financial inclusion and responsible lending practices.
Addressing bias and fairness in AI-powered credit scoring algorithms.

AI for Insurance and Risk Management:

Utilizing AI to enhance insurance underwriting, claims processing, and fraud detection.
The role of AI in developing innovative insurance products and services.
Managing risk and uncertainty in an AI-driven insurance landscape.

Additional Conference Highlights:

Keynote speakers from leading AI and financial technology experts
Panel discussions on emerging trends and challenges in AI FinTech
Workshops and tutorials on AI tools and techniques
Networking opportunities with industry peers and thought leaders
Exhibition showcasing the latest AI-powered financial solutions

Aspen/Snowmass is a world-renowned winter resort destination in Colorado, known for its stunning mountain scenery, world-class skiing and snowboarding, and upscale atmosphere. It's actually a complex of four ski areas:

Aspen Mountain: The "Silver Queen Mountain," known for its challenging terrain and stunning views of the town of Aspen.

Aspen Highlands: A skier's mountain with diverse terrain, including steep cliffs and wide-open bowls.

Buttermilk: A family-friendly mountain with gentle slopes, perfect for beginners and children. It's also home to the Winter X Games.

Snowmass: The largest of the four mountains, offering a wide variety of terrain, from gentle slopes to challenging expert runs.

Beyond skiing and snowboarding, Aspen/Snowmass offers a variety of winter activities, such as snowshoeing, ice skating, and sleigh rides. In the summer, the area transforms into a popular destination for hiking, biking, golfing, and other outdoor activities.

Aspen/Snowmass is also known for its luxury accommodations, fine dining, and vibrant nightlife. It's a popular destination for celebrities and wealthy individuals, and it can be quite expensive. However, it's also a beautiful and exciting place to visit, whether you're a skier, a hiker, or simply looking to enjoy the stunning mountain scenery.

In addition to great skiing/riding, here are some cool things to do:

Hike to Maroon Bells: This iconic hike offers stunning views of two of Colorado's most photographed peaks.
Mountain Bike in Snowmass Bike Park: With miles of trails for all skill levels, this bike park is a must-visit for mountain bikers.
Raft the Roaring Fork River: Experience the thrill of whitewater rafting on this scenic river.
Soak in the Hot Springs at Glenwood Springs: Relax your muscles and rejuvenate your body at these natural hot springs.
Explore the Ghost Town of Ashcroft: Step back in time and wander through this historic ghost town.

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

Join us for a thrilling day of heli-skiing in the heart of the 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 will bring together ​financial professionals,​ data scientists, AI engineers, investors, traders and policymakers to explore the transformative impact of Artificial Intelligence and Data Science on the financial sector.



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


Generative AI and Financial Services:

How generative AI models are transforming financial services, from automated content generation to advanced financial forecasting.
Case studies of successful implementations of generative AI in financial institutions.

AI-Enhanced Decision Making in Finance:

Utilizing AI to improve decision-making processes in areas like risk management, fraud detection, and algorithmic trading.
The impact of AI on regulatory compliance and reporting.
Exploring the potential of AI to optimize portfolio management and investment strategies.

AI for the Future of Finance

AI and the Rise of Decentralized Finance (DeFi):

Exploring the intersection of AI and DeFi, including smart contract automation, decentralized exchanges, and yield farming.
The potential of AI to enhance the security and efficiency of DeFi platforms.
Regulatory challenges and opportunities in the AI-DeFi space.

AI and the Future of Work in Finance

The impact of AI on the future of jobs in the financial industry.
Reskilling and upskilling initiatives to prepare the workforce for an AI-driven future.

AI and the Global Financial Landscape:

The role of AI in shaping the global financial system.
Cross-border collaboration and international standards for AI in finance.
The geopolitical implications of AI-powered financial innovation.

FinTech and Innovation

Blockchain and Cryptocurrency:

The latest advancements in blockchain technology and its applications in finance.
Exploring the potential of cryptocurrencies and digital assets.
Regulatory challenges and opportunities in the blockchain and cryptocurrency space.

Digital Payments:

The future of digital payments, including mobile payments, contactless payments, and biometric authentication.
The role of AI in enhancing payment security and fraud prevention.
The impact of digital payments on financial inclusion and economic growth.

Advanced Financial Modeling and Prediction

AI-Driven Predictive Analytics

Machine Learning for Market Forecasting: Leveraging advanced machine learning algorithms to identify patterns and trends in historical market data.

Natural Language Processing (NLP) for Sentiment Analysis: Utilizing NLP techniques to extract insights from news articles, social media, and other textual data.

Time Series Analysis and Forecasting: Applying statistical methods and machine learning to forecast future values of financial time series.

Risk Assessment and Management

AI-Powered Risk Modeling: Developing sophisticated risk models that incorporate various factors, including economic indicators, geopolitical events, and market volatility.

Stress Testing and Scenario Analysis: Utilizing AI to simulate different economic scenarios and assess their potential impact on financial portfolios.

Fraud Detection and Prevention: Employing machine learning techniques to identify anomalies and fraudulent activities in financial transactions.

Portfolio Optimization and Algorithmic Trading

Reinforcement Learning for Algorithmic Trading: Training AI agents to make optimal trading decisions through trial and error.
Portfolio Optimization with AI: Using AI to construct diversified portfolios that maximize returns and minimize risk.
High-Frequency Trading (HFT) with AI: Leveraging AI to execute trades at high speeds to capitalize on market inefficiencies.

Algorithmic Trading and Investment Strategies

Advanced Algorithmic Trading Techniques

Machine Learning for Trading Signals: Utilizing machine learning algorithms to identify profitable trading opportunities.
Statistical Arbitrage: Employing statistical techniques to identify pricing discrepancies and profit from them.
High-Frequency Trading (HFT): Exploring the challenges and opportunities of executing trades at high speeds.

Portfolio Optimization and Risk Management

Mean-Variance Optimization: Using statistical methods to balance risk and return in investment portfolios.
Factor Investing: Identifying and exploiting systematic factors that drive stock returns.
Risk Parity: Constructing portfolios that allocate risk equally across different asset classes.

Behavioral Finance and Algorithmic Trading

Behavioral Biases and Algorithmic Trading: Understanding how behavioral biases can impact investment decisions and developing strategies to mitigate them.
Social Sentiment Analysis: Leveraging social media data to gauge market sentiment and identify potential trading opportunities.
Quantitative Behavioral Finance: Combining quantitative methods with behavioral insights to improve investment decision-making.

AI for Personalized Financial Advice:

Leveraging AI to provide tailored financial advice, including investment strategies, retirement planning, and wealth management.
The role of natural language processing (NLP) in enhancing client interactions.

AI for Credit Scoring and Lending:

Leveraging AI to improve credit scoring models and make more accurate lending decisions.
The impact of AI on financial inclusion and responsible lending practices.
Addressing bias and fairness in AI-powered credit scoring algorithms.

AI for Insurance and Risk Management:

Utilizing AI to enhance insurance underwriting, claims processing, and fraud detection.
The role of AI in developing innovative insurance products and services.
Managing risk and uncertainty in an AI-driven insurance landscape.



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. 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 in finance.


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


Submission Guidelines


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


Review Process


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



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


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



We look forward to your valuable contributions!

We are in the process of finalizing dates and details.

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

Technology Professionals:

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

AI and Data Science Professionals:

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

Government Officials and Regulators:

Policymakers and regulators shaping the regulatory landscape for Cryptography.
Regulators: Policymakers responsible for overseeing the Cryptography industry.

Business and Finance Professionals:

Financial Institutions: Banks, investment firms, and fintech 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 Cryptography Tech space.
Academic and Research Community: Academics and researchers studying Cryptography technology.

Quantum Threat and PQC Fundamentals


Welcome and Keynote: An introduction to post-quantum cryptography.


The Quantum Threat: A deep dive into quantum computing and its implications for cybersecurity.
Quantum algorithms and their impact on classical cryptography.
Real-world threats and potential attacks.


Introduction to Post-Quantum Cryptography
Overview of PQC principles and concepts.
Comparison of classical and post-quantum cryptography.


Post-Quantum Cryptographic Algorithms: A deep dive into NIST's selected algorithms.


Transition Strategies and Interoperability


Transition Planning and Risk Assessment

Identifying critical systems and applications.
Assessing security risks and developing mitigation strategies.
Developing a roadmap for PQC migration.


Interoperability and Standardization: Ensuring seamless integration of PQC.

The role of standards organizations in PQC.
Interoperability challenges and solutions.
Future standards and protocols.


Key Management and Lifecycle: Addressing key management, risk assessment, and incident response.

Key generation, distribution, and storage.
Key rotation and revocation procedures.
Key escrow and recovery.


Security Considerations and Future Directions


Security Analysis and Cryptanalysis of PQC Algorithms

State-of-the-art attacks and defenses.
Future research directions in PQC security.


Quantum-Safe Protocols and Applications

Quantum-resistant key exchange protocols.
Quantum-safe digital signature schemes.
Quantum-safe secure communication protocols.


Legal and Regulatory Implications of PQC

Intellectual property rights and licensing.
Standards and certification.
Cybersecurity regulations and compliance.


Future Trends and Emerging Technologies

Quantum-resistant hardware and accelerators.
Quantum-safe cloud computing and IoT.
Post-quantum zero-knowledge proofs and homomorphic encryption.


Conclusion and Next Steps: A summary of key takeaways and a call to action.

Aspen/Snowmass is a world-renowned winter resort destination in Colorado, known for its stunning mountain scenery, world-class skiing and snowboarding, and upscale atmosphere. It's actually a complex of four ski areas:

Aspen Mountain: The "Silver Queen Mountain," known for its challenging terrain and stunning views of the town of Aspen.

Aspen Highlands: A skier's mountain with diverse terrain, including steep cliffs and wide-open bowls.

Buttermilk: A family-friendly mountain with gentle slopes, perfect for beginners and children. It's also home to the Winter X Games.

Snowmass: The largest of the four mountains, offering a wide variety of terrain, from gentle slopes to challenging expert runs.

Beyond skiing and snowboarding, Aspen/Snowmass offers a variety of winter activities, such as snowshoeing, ice skating, and sleigh rides. In the summer, the area transforms into a popular destination for hiking, biking, golfing, and other outdoor activities.

Aspen/Snowmass is also known for its luxury accommodations, fine dining, and vibrant nightlife. It's a popular destination for celebrities and wealthy individuals, and it can be quite expensive. However, it's also a beautiful and exciting place to visit, whether you're a skier, a hiker, or simply looking to enjoy the stunning mountain scenery.

In addition to great skiing/riding, here are some cool things to do:

Hike to Maroon Bells: This iconic hike offers stunning views of two of Colorado's most photographed peaks.
Mountain Bike in Snowmass Bike Park: With miles of trails for all skill levels, this bike park is a must-visit for mountain bikers.
Raft the Roaring Fork River: Experience the thrill of whitewater rafting on this scenic river.
Soak in the Hot Springs at Glenwood Springs: Relax your muscles and rejuvenate your body at these natural hot springs.
Explore the Ghost Town of Ashcroft: Step back in time and wander through this historic ghost town.

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

Join us for a thrilling day of heli-skiing in the heart of the 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 timely and critical event for CIO's, IT managers, cybersecurity experts, cryptographers, security architects, network engineers, policymakers, data scientists, AI engineers and business leaders to confront the impending quantum threat to classical cryptography and prepare for a seamless transition to a quantum-safe world.



We invite you to share your expertise and contribute to this vital conversation. We are seeking compelling presentations, insightful papers, interactive workshops, and concise lightning talks that present original research, practical strategies, and critical analyses.



Main Conference Subject Areas


Quantum Threat and PQC Fundamentals


This track will establish a common understanding of the quantum threat and the foundational principles of post-quantum cryptography (PQC). We encourage submissions on:



Welcome and Keynote: Proposals for an introductory keynote that provides an overview of the conference and the pressing need for a transition to post-quantum cryptography.

The Quantum Threat: A deep dive into the capabilities of quantum computing, with a focus on quantum algorithms and their impact on classical cryptography. We are also interested in discussions of real-world threats and potential "harvest now, decrypt later" attacks.

Introduction to Post-Quantum Cryptography: Overview of PQC principles and concepts, including a comparison of classical and post-quantum cryptographic schemes.

Post-Quantum Cryptographic Algorithms: In-depth technical presentations on the algorithms selected by NIST, including their mathematical foundations, security properties, and performance characteristics.


Transition Strategies and Interoperability


This track will focus on the practical steps and strategic planning required for a successful PQC migration. We are particularly interested in:



Transition Planning and Risk Assessment: Submissions on identifying critical systems and applications, assessing security risks, and developing a comprehensive roadmap for PQC migration.

Interoperability and Standardization: Presentations on the challenges and solutions for ensuring seamless integration of PQC, the role of standards organizations, and the development of future protocols.

Key Management and Lifecycle: Discussions on the critical aspects of key generation, distribution, and storage in a post-quantum environment, as well as procedures for key rotation, revocation, and recovery.


Security Considerations and Future Directions


This track will explore the cutting edge of PQC research, including security analysis, emerging applications, and the legal and ethical landscape. We welcome submissions on:



Security Analysis and Cryptanalysis of PQC Algorithms: State-of-the-art attacks and defenses, as well as future research directions in PQC security.

Quantum-Safe Protocols and Applications: Presentations on the design and implementation of quantum-resistant key exchange protocols, quantum-safe digital signature schemes, and secure communication protocols.

Legal and Regulatory Implications of PQC: Discussions on intellectual property rights, standards, certification, and compliance with emerging cybersecurity regulations.

Future Trends and Emerging Technologies: Explorations of quantum-resistant hardware, the integration of PQC into cloud computing and IoT, and the potential of post-quantum zero-knowledge proofs and homomorphic encryption.

Conclusion and Next Steps: A closing address that summarizes key takeaways and issues a call to action for the community.


Submission Types


We invite diverse contributions to enrich our program:



Oral Presentations (20 minutes): Share your research findings, strategic roadmaps, 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 for practitioners, industry leaders, and policymakers to share valuable lessons learned, practical implementations, and insightful perspectives on the challenges and successes of PQC migration. 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 the post-quantum transition.

Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to PQC implementation, key management, or security analysis.


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 cryptography, quantum computing, and cybersecurity. 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 collaborative conference on securing our future against the quantum threat!

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

Aspen/Snowmass is a world-renowned winter resort destination in Colorado, known for its stunning mountain scenery, world-class skiing and snowboarding, and upscale atmosphere. It's actually a complex of four ski areas:

Aspen Mountain: The "Silver Queen Mountain," known for its challenging terrain and stunning views of the town of Aspen.

Aspen Highlands: A skier's mountain with diverse terrain, including steep cliffs and wide-open bowls.

Buttermilk: A family-friendly mountain with gentle slopes, perfect for beginners and children. It's also home to the Winter X Games.

Snowmass: The largest of the four mountains, offering a wide variety of terrain, from gentle slopes to challenging expert runs.

Beyond skiing and snowboarding, Aspen/Snowmass offers a variety of winter activities, such as snowshoeing, ice skating, and sleigh rides. In the summer, the area transforms into a popular destination for hiking, biking, golfing, and other outdoor activities.

Aspen/Snowmass is also known for its luxury accommodations, fine dining, and vibrant nightlife. It's a popular destination for celebrities and wealthy individuals, and it can be quite expensive. However, it's also a beautiful and exciting place to visit, whether you're a skier, a hiker, or simply looking to enjoy the stunning mountain scenery.

In addition to great skiing/riding, here are some cool things to do:

Hike to Maroon Bells: This iconic hike offers stunning views of two of Colorado's most photographed peaks.
Mountain Bike in Snowmass Bike Park: With miles of trails for all skill levels, this bike park is a must-visit for mountain bikers.
Raft the Roaring Fork River: Experience the thrill of whitewater rafting on this scenic river.
Soak in the Hot Springs at Glenwood Springs: Relax your muscles and rejuvenate your body at these natural hot springs.
Explore the Ghost Town of Ashcroft: Step back in time and wander through this historic ghost town.

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

Join us for a thrilling day of heli-skiing in the heart of the 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 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

Aspen/Snowmass is a world-renowned winter resort destination in Colorado, known for its stunning mountain scenery, world-class skiing and snowboarding, and upscale atmosphere. It's actually a complex of four ski areas:

Aspen Mountain: The "Silver Queen Mountain," known for its challenging terrain and stunning views of the town of Aspen.

Aspen Highlands: A skier's mountain with diverse terrain, including steep cliffs and wide-open bowls.

Buttermilk: A family-friendly mountain with gentle slopes, perfect for beginners and children. It's also home to the Winter X Games.

Snowmass: The largest of the four mountains, offering a wide variety of terrain, from gentle slopes to challenging expert runs.

Beyond skiing and snowboarding, Aspen/Snowmass offers a variety of winter activities, such as snowshoeing, ice skating, and sleigh rides. In the summer, the area transforms into a popular destination for hiking, biking, golfing, and other outdoor activities.

Aspen/Snowmass is also known for its luxury accommodations, fine dining, and vibrant nightlife. It's a popular destination for celebrities and wealthy individuals, and it can be quite expensive. However, it's also a beautiful and exciting place to visit, whether you're a skier, a hiker, or simply looking to enjoy the stunning mountain scenery.

In addition to great skiing/riding, here are some cool things to do:

Hike to Maroon Bells: This iconic hike offers stunning views of two of Colorado's most photographed peaks.
Mountain Bike in Snowmass Bike Park: With miles of trails for all skill levels, this bike park is a must-visit for mountain bikers.
Raft the Roaring Fork River: Experience the thrill of whitewater rafting on this scenic river.
Soak in the Hot Springs at Glenwood Springs: Relax your muscles and rejuvenate your body at these natural hot springs.
Explore the Ghost Town of Ashcroft: Step back in time and wander through this historic ghost town.

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

Join us for a thrilling day of heli-skiing in the heart of the 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!