Here’s what to expect at DSS26.
Zero-Invasive Medicine Workshop: Toward a New Decision-Making Paradigm in Healthcare
June 18-19, 2026
Madrid, Spain
A Systemic Approach for Impact Enhancement: DSA Partnering with the EURO Practitioner’s Forum
June 18-19, 2026
Madrid, Spain
Zero-Invasive Medicine Workshop: Toward a New Decision-Making Paradigm in Healthcare
June 18-19, 2026
Madrid, Spain
A Systemic Approach for Impact Enhancement: DSA Partnering with the EURO Practitioner’s Forum
June 18-19, 2026
Madrid, Spain
Logistics &
SCM
What you learn: How decision science transforms supply chain management — from predictive logistics and smart routing to real-time demand alignment and capacity planning.
Why it matters: Enables data-driven, resilient, and sustainable supply networks that adapt quickly to market shifts and global disruptions.
Who it’s for: Supply chain leaders, logistics strategists, operations directors, and technology partners optimizing end-to-end performance.
Healthcare &
Hospitals
What you learn: How decision science enhances patient care, resource allocation, and operational efficiency through data-driven diagnostics, predictive staffing, and outcome modeling.
Why it matters: Improves patient outcomes, reduces costs, and helps healthcare systems respond proactively to changing clinical and operational demands.
Who it’s for: Hospital administrators, healthcare executives, clinical operations leaders, and digital health innovators.
Manufacturing &
Production
What you learn: How decision science optimizes production planning, quality control, and resource utilization through predictive analytics and intelligent automation.
Why it matters: Drives operational excellence, minimizes waste, and enables agile manufacturing strategies that respond to dynamic market and supply conditions.
Who it’s for: Plant managers, production executives, operations strategists, and industrial innovation leaders.
Retail, Finance,
Banks & Insurance
What you learn: How decision science drives customer insights, risk management, pricing optimization, and portfolio strategies through predictive analytics and advanced modeling.
Why it matters: Enables smarter financial decisions, personalized customer experiences, and resilient business operations in competitive markets.
Who it’s for: Retail strategists, banking executives, insurance leaders, financial analysts, and customer experience innovators.
Smart Cities &
Communities
What you learn: Harness data to design adaptive mobility systems, infrastructure, and services that meet citizens’ needs.
Why it matters: Enables cities to become more sustainable, livable, and responsive to changing demands.
Who it’s for: Enables cities to become more sustainable, livable, and responsive to changing demands.
Energy &
Transportation
What you learn: How decision science optimizes energy generation, distribution, and consumption, as well as transportation planning, fleet management and logistics through predictive analytics and intelligent systems.
Why it matters: Drives operational efficiency, reduces environmental impact, and supports resilient, sustainable infrastructure for the energy and transport sectors.
Who it’s for: Energy managers, transportation planners, infrastructure executives and sustainability and innovation leaders.
Marketing &
Business
What you learn: How decision science enhances customer segmentation, campaign optimization, pricing strategies and business performance through predictive analytics and data-driven insights.
Why it matters: Enables smarter marketing decisions, maximizes ROI, and drives growth by aligning business strategies with real-time data.
Who it’s for: Marketing leaders, business strategists, data-driven decision makers and growth innovators.
Life Science &
Sports
What you learn: How decision science drives innovation in drug development, clinical trials, performance analytics and athlete management through predictive modeling and data-driven insights.
Why it matters: Accelerates scientific breakthroughs, optimizes health and performance outcomes and supports evidence-based decision-making in life sciences and sports.
Who it’s for: Researchers, life science executives, sports performance analysts and health & wellness innovators.
Robotics
Devices
What you learn: How decision science powers robotics innovation, from autonomous systems and industrial automation to AI-driven device optimization and predictive maintenance.
Why it matters: Enables smarter, more efficient robotics solutions, reduces operational risk, and accelerates technological advancement across industries.
Who it’s for: Robotics engineers, R&D leaders, automation specialists and technology innovators.
Decision Science Tools & Methods
Machine Learning
What you learn: Discover how to leverage predictive algorithms and machine learning models to turn complex data into actionable insights.
Why it matters: Helps you anticipate trends, reduce uncertainty, and make faster, evidence-based decisions.
Who it’s for: Data scientists, innovation managers, product leads.
Optimization
What you learn: Learn to identify the best solutions under complex constraints, optimizing resources, costs, and timelines.
Why it matters: Maximizes efficiency and value in both operational and strategic decision-making.
Who it’s for: Operations directors, supply chain managers, strategy consultants.
Operations Research
What you learn: Apply advanced quantitative methods to simplify complex problems and enhance strategic planning.
Why it matters: Turns uncertainty into structured models that guide concrete and effective actions.
Who it’s for: Policy makers, corporate planners, process managers.
Business Analytics
What you learn: How decision science leverages data visualization, predictive modeling, and advanced analytics to uncover insights, optimize strategies and drive measurable business outcomes
Why it matters: Empowers organizations to make smarter, faster decisions, maximize operational efficiency and gain a competitive advantage through data-driven intelligence.
Who it’s for: Business analysts, data strategists, executives, and decision-makers seeking to harness analytics for growth and innovation.
Simulation
What you learn: Build and test virtual models of complex systems to forecast outcomes and evaluate risks safely.
Why it matters: Lets you experiment without consequences, saving time and resources while improving strategy.
Who it’s for: Risk managers, planners, innovation labs.
Artificial Intelligence
What you learn: How decision science and AI drive predictive modeling, intelligent automation, natural language processing and advanced decision-making across industries.
Why it matters: Enables smarter, faster, and more scalable solutions, transforming business processes, customer experiences and innovation capabilities.
Who it’s for: AI strategists, data scientists, technology leaders, and business innovators looking to implement AI-driven decision frameworks.
Real-World Applications
What you learn: How decision science translates into actionable insights across industries, from operational optimization and risk management to customer engagement and strategic planning.
Why it matters: Demonstrates tangible impact, helping organizations implement data-driven solutions that improve efficiency, performance and competitiveness.
Who it’s for: Business leaders, data practitioners, decision-makers, and innovators seeking practical applications of analytics and AI.
Data Science
What you learn: How decision science leverages data collection, statistical modeling, machine learning, and predictive analytics to uncover insights and guide business strategy.
Why it matters: Transforms raw data into actionable intelligence, enabling organizations to make informed decisions, optimize processes, and gain a competitive edge.
Who it’s for: Data scientists, analysts, business strategists, and technology leaders looking to harness the power of data for decision-making.
Applied Maths
What you learn: How decision science applies mathematical modeling, optimization techniques, and quantitative analysis to solve complex real-world problems across industries.
Why it matters: Drives precise, data-driven decisions, enhances operational efficiency, and supports innovative strategies with rigorous analytical foundations.
Who it’s for: Quantitative analysts, operations researchers, data scientists, and decision-makers seeking mathematical approaches to optimize outcomes.
