Embark on a transformative journey into the heart of data science, AI, and financial investing at the DSA Conference in Jackson Hole, Wyoming. This exclusive DSA Conference will unite renowned experts, global leaders, and data scientists to explore the profound intersection of data-driven insights, AI, central bank policy, emerging markets, BRICS, US dollar scenarios, blockchain technology, and global financial risks.

Nestled amidst the breathtaking beauty of Jackson Hole, the conference will offer a unique blend of intellectual stimulation and outdoor adventure. Attendees will have the opportunity to:

Network: Connect with like-minded professionals from around the world and build lasting relationships.

Learn from global leaders: Gain valuable insights from renowned experts in data science, AI, investing, finance, and central banking.

Discover cutting-edge research: Explore the latest advancements in data science and their applications to global finance.

Engage in thought-provoking discussions: Participate in interactive sessions and debates on critical topics shaping the future of the field.

Experience the beauty of Jackson Hole: Enjoy world-class skiing, snowboarding, snowmobiling, hiking, and other outdoor activities.

Whether you're a seasoned data scientist, executive, investor, banker, regulator, policy-maker or a finance professional seeking to leverage data-driven insights, this conference offers an unparalleled opportunity to expand your knowledge, network with industry leaders, and contribute to the advancement of data science and global finance.

Primary Audience for Conference Attendees

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.

Main Conference Subject Areas

Data Science and AI

Data science and AI are being used to analyze vast amounts of financial data to make more accurate predictions and decisions.

• Algorithmic Trading: Using AI models to execute trades automatically.
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  • High-Frequency Trading: AI algorithms identify and exploit micro-second price discrepancies.
  • Predictive Market Analytics: Models analyze historical data and news sentiment to forecast market trends.
  • Portfolio Optimization: AI helps create balanced portfolios by analyzing asset correlations and market conditions.
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• Risk Management: AI is used to identify and mitigate financial risks in real-time.
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  • Fraud Detection: Machine learning systems analyze transaction patterns to detect anomalies.
  • Credit Scoring: AI expands credit decisions by incorporating alternative data sources beyond traditional credit history.
  • Stress Testing: AI models simulate market scenarios to assess potential losses under extreme conditions.
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• Customer Experience: AI tools personalize financial services and automate customer interactions.
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  • Personalized Advisory Services: AI-driven "robo-advisors" provide tailored investment advice.
  • Chatbots and Virtual Assistants: AI-powered chatbots handle routine customer inquiries, improving efficiency.
  • Sentiment Analysis: AI analyzes text from research and social media to gauge market sentiment.

Blockchain Technology

Blockchain is a decentralized ledger technology that is transforming how financial transactions are recorded and executed.

• Secure Transactions: Blockchain provides a secure and transparent way to record and verify transactions.
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  • Immutable Records: Once a transaction is recorded, it cannot be altered, ensuring data integrity.
  • Smart Contracts: Self-executing contracts with the terms of the agreement directly written into code.
  • Digital Identities: Blockchain-based digital identities can streamline the Know Your Customer (KYC) process.
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• Streamlined Operations: The technology reduces the need for intermediaries, lowering costs and increasing speed.
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  • Cross-Border Payments: Blockchain enables faster and cheaper international money transfers.
  • Clearing and Settlement: Real-time settlement of trades reduces processing times and counterparty risk.
  • Tokenization of Assets: Real-world assets are converted into digital tokens for fractional ownership and increased liquidity.
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• Decentralized Finance (DeFi): This new financial system operates without traditional financial intermediaries.
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  • Decentralized Exchanges (DEXs): Platforms for trading digital assets without a centralized authority.
  • Lending Protocols: Users can lend and borrow assets directly, without a bank.
  • Stablecoins: Cryptocurrencies pegged to a stable asset, like a fiat currency, to reduce volatility.

Central Banks and Policy

Central banks play a crucial role in managing the global financial system through monetary policy.

• Monetary Policy Tools: Central banks use various instruments to influence the economy.
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  • Interest Rates: Adjusting policy rates to control inflation and economic growth.
  • Open Market Operations: Buying and selling government securities to influence the money supply.
  • Reserve Requirements: Setting the minimum reserves that commercial banks must hold.
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• Emerging Markets Investing: Central bank policies influence capital flows to developing economies.
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  • Capital Flow Management: Central banks in emerging markets may tighten policy to counter capital outflows.
  • Currency Intervention: Intervening in foreign exchange markets to stabilize their currency value.
  • Inflation Targeting: Prioritizing domestic inflation control over responding to external pressures.
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• Global Financial Risk: Central banks are responsible for maintaining financial stability.
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  • Lender of Last Resort: Providing emergency liquidity to struggling financial institutions.
  • Macroprudential Regulation: Implementing policies to mitigate systemic risk in the financial system.
  • International Coordination: Collaborating with other central banks to address global financial crises.

Staying Slope-Side at the Base of Jackson Hole Ski Resort

For a truly unforgettable experience, stay at one of the many luxurious accommodations located right at the base of Jackson Hole Mountain Resort in Teton Village. These properties offer direct access to the slopes and trails, making it easy in the winter to hit the trails first thing in the morning and enjoy the après-ski scene in the evening - and in the summer to hit the hiking and biking trails.

Here are some of the benefits of staying slope-side:

Convenient access to the slopes: Simply step out of your door and onto the ski lift in winter and on the hiking and bike trails in summer..

Prime location for après-ski activities: Enjoy a variety of bars, restaurants, and shops right at your doorstep.

Stunning mountain views: Wake up to breathtaking views of the Teton Range.

Luxurious amenities: Many slope-side properties offer world-class amenities, such as spas, fitness centers, and heated pools.

Experience a convenient and luxurious Jackson Hole adventure, staying slope-side at Teton Village.

Day Trip to Yellowstone National Park (Optional)

As part of your conference experience, we invite you to join us on a day trip to Yellowstone National Park. This iconic national park, renowned for its geothermal features, wildlife, and breathtaking landscapes, offers a truly unforgettable experience.

During our day trip, you'll have the opportunity to:

Spot wildlife: Keep your eyes peeled for bison, elk, deer, and even bears as you explore the park's diverse ecosystems.

Hike through scenic trails: Enjoy the beauty of Yellowstone's trails, ranging from easy walks to challenging hikes.

Learn about the park's history and geology: Discover the fascinating stories behind Yellowstone's formation and the wildlife that call it home.

This day trip provides a unique opportunity to experience one of the most iconic national parks in the United States. Don't miss out on this unforgettable adventure!
 

Heli-Skiing Adventure (Optional)

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

Call for Presentations & Papers

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

• Data Science and AI: The New Frontier of Financial Decision-Making

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• This track will explore how data science and AI are being leveraged to analyze vast amounts of financial data to make more accurate predictions and decisions. We encourage submissions on:
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• Algorithmic Trading & High-Frequency Trading: The development and application of AI models to execute trades automatically, and algorithms that identify and exploit micro-second price discrepancies.
•  
• Predictive Market Analytics: Models that analyze historical data, news sentiment, and other alternative data to forecast market trends.
•  
• Portfolio Optimization & Risk Management: The use of AI to create balanced portfolios by analyzing asset correlations and market conditions, and to identify and mitigate financial risks in real-time.
•  
• Fraud Detection & Credit Scoring: Machine learning systems that analyze transaction patterns to detect anomalies and AI models that expand credit decisions by incorporating alternative data sources.
•  
• Customer Experience: AI tools that personalize financial services and automate customer interactions, including AI-driven "robo-advisors" and chatbots that handle routine customer inquiries.
•  

• Blockchain Technology: A Decentralized Revolution in Finance

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• This track will focus on how blockchain is transforming financial transactions, record-keeping, and the very structure of financial services. We are particularly interested in submissions on:
•  
• Secure Transactions & Immutable Records: The use of blockchain to provide a secure and transparent way to record and verify transactions, ensuring data integrity.
•  
• Smart Contracts & Digital Identities: Applications of self-executing contracts and blockchain-based digital identities to streamline processes like Know Your Customer (KYC).
•  
• Streamlined Operations & Cross-Border Payments: How blockchain technology reduces the need for intermediaries, lowers costs, and increases the speed of international money transfers and clearing and settlement.
•  
• Tokenization of Assets: The conversion of real-world assets into digital tokens for fractional ownership and increased liquidity.
•  
• Decentralized Finance (DeFi): The new financial system operating without traditional intermediaries, including discussions on Decentralized Exchanges (DEXs), lending protocols, and stablecoins.
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• Central Banks and Policy: Navigating Global Financial Dynamics

•  
• This track will examine the crucial role of central banks in managing the global financial system and responding to emerging challenges. We welcome submissions on:
•  
• Monetary Policy Tools: The use of interest rates, open market operations, and reserve requirements to influence inflation and economic growth.
•  
• Emerging Markets Investing: How central bank policies influence capital flows, including the use of capital flow management and currency intervention.
•  
• Global Financial Risk: The responsibility of central banks for maintaining financial stability, acting as a Lender of Last Resort, and implementing macroprudential regulation to mitigate systemic risk.
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• International Coordination: The challenges and opportunities of international collaboration among central banks to address global financial crises.

Optional Conference Topics

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

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.

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!