Data-Driven Global Investing: Harnessing AI and Data Science for Financial Success

The Data Science Association (DSA) is pleased to announce our premier international conference dedicated to the profound forces reshaping the global financial landscape. This event will serve as a vital forum for financial professionals, policymakers, regulators, data scientists, AI engineers and technologists to explore how data science, AI, and evolving geopolitical dynamics are creating a new frontier in market intelligence, monetary policy, and international relations.

This conference, set against the stunning backdrop of Jackson Hole, Wyoming, brings together leading data scientists, economists, and investment professionals to explore the critical intersection of data-driven insights and global financial policy. The event will move beyond traditional economic models to a forward-looking, quantitative perspective, focusing on the dynamic forces shaping global markets.

Join us for an exclusive conference exploring the dynamic intersection of data science, artificial intelligence, and global finance. This event will take a deep dive into the latest trends and strategies for navigating the complex landscape of central bank policies, emerging markets, and global financial risks.

Whether you're a seasoned data scientist, executive, investor, 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.

Key Themes:

Data Science and AI in Global Finance: Explore cutting-edge applications of data science and AI in investment decision-making, risk assessment, portfolio optimization, and more.

Central Bank Policies: Analyze the evolving landscape of monetary policies and their impact on global markets. Gain insights into forecasting interest rate changes and understanding quantitative easing.

Emerging Markets Investing: Discover opportunities and challenges in emerging markets. Learn about risk assessment, valuation techniques, and strategies for navigating these dynamic economies.

Global Financial Risks: Identify and assess emerging risks, including geopolitical tensions, climate change, cyber threats, and systemic failures. Develop strategies for building resilience and mitigating these risks.

Conference Highlights:

Expert Speakers: Hear from renowned thought leaders in data science, finance, and central banking.

Interactive Workshops: Participate in hands-on workshops to learn practical applications of data science and AI in global investing.

Networking Opportunities: Connect with industry peers, investors, and thought leaders to build valuable relationships.

Stunning Location: Enjoy the beauty of Jackson Hole, Wyoming, while immersing yourself in the latest trends in 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

I. Data Science and AI in Global Finance: The New Frontier of Market Intelligence

• Algorithmic and High-Frequency Trading:
•  
  • Developing and backtesting advanced algorithmic trading strategies using machine learning models.
  • Leveraging real-time data streams and predictive analytics for market-making and arbitrage.
  • The ethics and regulatory implications of AI-driven trading.
•  
• Predictive Analytics for Investment Decisions:
•  
  • Using machine learning to forecast asset prices, volatility, and market trends.
  • Building sentiment analysis models from social media, news, and corporate filings to gauge market mood.
  • Applying natural language processing (NLP) to analyze central bank communications and policy statements for subtle shifts in tone and intent.
•  
• AI-Powered Risk Assessment and Portfolio Optimization:
•  
  • Implementing AI for dynamic risk management, stress testing, and identifying "black swan" events.
  • Utilizing reinforcement learning for optimal portfolio construction under various market conditions.
  • Exploring new methods for assessing and managing credit, liquidity, and operational risks with unstructured data.
•  
• Generative AI and Large Language Models (LLMs) in Finance:
•  
  • The use of LLMs for financial research, report generation, and synthesizing vast amounts of economic data.
  • Developing AI agents for automated compliance, fraud detection, and regulatory reporting.
  • Challenges and opportunities in deploying generative AI responsibly within financial institutions.

II. Central Bank Policies: A Data-Driven Analysis of Monetary Dynamics

• Forecasting Interest Rate Changes:
•  
  • Advanced econometric models and machine learning for predicting Federal Reserve and other central bank policy moves.
  • Analyzing economic indicators (inflation, unemployment, GDP) with alternative data sources to create more accurate forecasts.
  • The role of market expectations and "Fed speak" in shaping policy outcomes.
•  
• The Evolving Toolkit of Central Banks:
•  
  • A deep dive into quantitative easing (QE) and quantitative tightening (QT), and their effects on asset prices and global capital flows.
  • Unconventional monetary policies: forward guidance, negative interest rates, and yield curve control.
  • The effectiveness and unintended consequences of new policy tools in a post-pandemic, high-inflation environment.
•  
• Cross-Border Policy Spillovers and Coordination:
•  
  • Analyzing how one central bank's policy actions impact other economies, from developed to emerging markets.
  • The challenges of international monetary policy coordination in a fragmented global landscape.

III. The New Digital Currency Landscape: Crypto, Stablecoins, and Policy

• Cryptocurrencies as a New Asset Class:
•  
  • The role of Bitcoin and other major cryptocurrencies in global portfolios.
  • Volatility modeling and risk management for digital assets.
  • The impact of institutional adoption and regulatory uncertainty on the crypto market.
•  
• The Rise and Regulation of Stablecoins:
•  
  • Analyzing the mechanics and reserve requirements of stablecoins.
  • A deep dive into the United States' newly-passed GENIUS Act (Guiding and Establishing National Innovation for U.S. Stablecoins Act), its implications for regulatory clarity, consumer protection, and the future of the stablecoin market.
  • The strategic role of dollar-pegged stablecoins in reinforcing the U.S. dollar's global standing.
•  
• Central Bank Digital Currencies (CBDCs):
•  
  • Examining the design and potential impact of CBDCs on monetary policy, financial stability, and cross-border payments.
  • A comparative analysis of different countries' approaches to CBDC development.

IV. Global Financial Risks: Building Resilience in an Uncertain World

• Geopolitical Tensions and Market Fragmentation:
•  
  • Quantifying the impact of trade wars, sanctions, and regional conflicts on global supply chains and asset prices.
  • Developing models to simulate the financial and economic fallout from geopolitical events.
  • Analyzing the rise of economic nationalism and its implications for global investing.
•  
• International Trade and the Threat of Protectionism:
•  
  • Data-driven analysis of the financial consequences of tariffs, trade barriers, and other protectionist policies.
  • Modeling the impact of new trade deals and their effect on global supply chains and economic growth.
  • Strategies for corporations and investors to mitigate risks associated with a shifting trade landscape.
•  
• Climate Change as a Financial Risk:
•  
  • Integrating climate-related risks (physical and transition risks) into portfolio management and stress testing.
  • Analyzing the financial stability implications of the green energy transition and carbon pricing.
  • Using data science to identify opportunities in sustainable finance and ESG (Environmental, Social, and Governance) investing.
•  
• Cyber Threats and Systemic Failures:
•  
  • Modeling the potential for a systemic cyberattack to trigger a financial crisis.
  • The role of AI in enhancing cybersecurity and defending against state-sponsored attacks.
  • Building operational resilience and developing contingency plans for major cyber incidents within the financial system.

V. The Shifting Global Power Dynamic: BRICS and the Future of the US Dollar

• The Growing Influence of BRICS:
•  
  • Assessing the economic and geopolitical ambitions of the expanded BRICS group (Brazil, Russia, India, China, South Africa, and new members).
  • Analyzing intra-BRICS trade and investment patterns.
  • The bloc's efforts to create alternative financial institutions and reduce reliance on Western-dominated systems.
•  
• The US Dollar as the Reserve Currency:
•  
  • An in-depth examination of the "exorbitant privilege" of the U.S. dollar and its role in global trade, debt, and foreign exchange markets.
  • Exploring the factors that underpin the dollar's dominance, including the size and stability of the U.S. economy and its capital markets.
•  
• The Prospect of De-Dollarization:
•  
  • Analyzing the threats to the dollar's reserve status, including rising U.S. fiscal deficits, erratic policy-making, and the fragmentation of the global economy.
  • Modeling a potential future of a multi-polar currency system, where the dollar's role is shared with the Chinese Yuan, the Euro, and other major currencies.
  • The data-driven debate: Is the dollar's decline a near-term risk or a distant, gradual shift over decades?

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.

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.
 

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!
 

Call for Presentations & Papers

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.

I. Data Science and AI in Global Finance: The New Frontier of Market Intelligence

This track will explore how cutting-edge technology is transforming financial analysis and decision-making. We encourage submissions on:

• Algorithmic and High-Frequency Trading:
•  
  • Developing and backtesting advanced algorithmic trading strategies using machine learning models.
  • Leveraging real-time data streams and predictive analytics for market-making and arbitrage.
  • Discussions on the ethics and regulatory implications of AI-driven trading.
•  
• Predictive Analytics for Investment Decisions:
•  
  • Using machine learning to forecast asset prices, volatility, and market trends.
  • Building sentiment analysis models from social media, news, and corporate filings.
  • Applying Natural Language Processing (NLP) to analyze central bank communications for subtle shifts in tone and intent.
•  
• AI-Powered Risk Assessment and Portfolio Optimization:
•  
  • Implementing AI for dynamic risk management, stress testing, and identifying "black swan" events.
  • Utilizing reinforcement learning for optimal portfolio construction under various market conditions.
  • Exploring new methods for assessing and managing credit, liquidity, and operational risks with unstructured data.
•  
• Generative AI and Large Language Models (LLMs) in Finance:
•  
  • The use of LLMs for financial research, report generation, and synthesizing economic data.
  • Developing AI agents for automated compliance, fraud detection, and regulatory reporting.
  • Challenges and opportunities in deploying generative AI responsibly within financial institutions.

II. Central Bank Policies: A Data-Driven Analysis of Monetary Dynamics

This track will focus on the evolving toolkit of central banks and the global impact of their policies. We welcome submissions on:

• Forecasting Interest Rate Changes:
•  
  • Advanced econometric models and machine learning for predicting Federal Reserve and other central bank policy moves.
  • Analyzing economic indicators with alternative data sources to create more accurate forecasts.
  • The role of market expectations and "Fed speak" in shaping policy outcomes.
•  
• The Evolving Toolkit of Central Banks:
•  
  • A deep dive into quantitative easing (QE) and quantitative tightening (QT), and their effects on asset prices and global capital flows.
  • Analyzing the effectiveness and unintended consequences of new policy tools in a post-pandemic, high-inflation environment.
•  
• Cross-Border Policy Spillovers and Coordination:
•  
  • How one central bank's policy actions impact other economies, from developed to emerging markets.
  • The challenges of international monetary policy coordination in a fragmented global landscape.

III. The New Digital Currency Landscape: Crypto, Stablecoins, and Policy

This track will examine the rise of digital assets and the policy frameworks being built to govern them. We are particularly interested in:

• Cryptocurrencies as a New Asset Class:
•  
  • The role of Bitcoin and other major cryptocurrencies in global portfolios.
  • Volatility modeling and risk management for digital assets.
  • The impact of institutional adoption and regulatory uncertainty on the crypto market.
•  
• The Rise and Regulation of Stablecoins:
•  
  • Analyzing the mechanics and reserve requirements of stablecoins.
  • A deep dive into the United States' newly-passed GENIUS Act and its implications for regulatory clarity, consumer protection, and the future of the stablecoin market.
  • The strategic role of dollar-pegged stablecoins in reinforcing the U.S. dollar's global standing.
•  
• Central Bank Digital Currencies (CBDCs):
•  
  • Examining the design and potential impact of CBDCs on monetary policy, financial stability, and cross-border payments.
  • A comparative analysis of different countries' approaches to CBDC development.

IV. Global Financial Risks: Building Resilience in an Uncertain World

This track addresses the new and evolving risks to financial stability and the strategies for mitigating them. We encourage submissions on:

• Geopolitical Tensions and Market Fragmentation:
•  
  • Quantifying the impact of trade wars, sanctions, and regional conflicts on global supply chains and asset prices.
  • Developing models to simulate the financial and economic fallout from geopolitical events.
  • Analyzing the rise of economic nationalism and its implications for global investing.
•  
• International Trade and the Threat of Protectionism:
•  
  • Data-driven analysis of the financial consequences of tariffs, trade barriers, and other protectionist policies.
  • Modeling the impact of new trade deals and their effect on global supply chains and economic growth.
•  
• Climate Change as a Financial Risk:
•  
  • Integrating climate-related risks (physical and transition risks) into portfolio management and stress testing.
  • Analyzing the financial stability implications of the green energy transition and carbon pricing.
  • Using data science to identify opportunities in sustainable finance and ESG investing.
•  
• Cyber Threats and Systemic Failures:
•  
  • Modeling the potential for a systemic cyberattack to trigger a financial crisis.
  • The role of AI in enhancing cybersecurity and defending against state-sponsored attacks.
  • Building operational resilience and developing contingency plans for major cyber incidents within the financial system.

V. The Shifting Global Power Dynamic: BRICS and the Future of the US Dollar

This track provides a data-driven perspective on the ongoing shifts in global economic power. We welcome submissions on:

• The Growing Influence of BRICS:
•  
  • Assessing the economic and geopolitical ambitions of the expanded BRICS group.
  • Analyzing intra-BRICS trade and investment patterns.
  • The bloc's efforts to create alternative financial institutions and reduce reliance on Western-dominated systems.
•  
• The US Dollar as the Reserve Currency:
•  
  • An in-depth examination of the "exorbitant privilege" of the U.S. dollar and the factors that underpin its dominance.
  • Exploring the prospect of de-dollarization.
  • Modeling a potential future of a multi-polar currency system, where the dollar's role is shared with the Chinese Yuan, the Euro, and other major currencies.
  • The data-driven debate: Is the dollar's decline a near-term risk or a distant, gradual shift over decades?

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, industry leaders, and policymakers to share valuable lessons learned, practical implementations, and insightful perspectives on the challenges and successes of navigating global finance. 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 global finance.
•  
• Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to AI in finance, policy analysis, or risk management.

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 finance, economics, data science, and international relations. 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 the future of global finance!