Hi, my name is Wienke. Never heard before?
Wienke Christine Strathern. Neither? Let’s listen how to pronounce it.

General Management & Strategic Decision-Making
• Data-Driven Management and Organizational Analysis
• Organizational Communication and Coordination Structures
• Governance of Digital and Platform-Based Organizations
• Decision Processes in Complex and Public-Sector Contexts
• Network and Organizational Analysis
I work at the intersection of general management, strategic decision-making, and data-driven analysis of organizations. In my current role as Head of a Data Science & AI Consulting Unit, I am responsible for the internal management of interdisciplinary teams, strategic planning, and the coordination of complex projects, combining leadership responsibilities with analytical and research expertise.
With more than seven years of academic research experience and over three years in consulting, my work focuses on how organizations, institutions, and decision-makers operate in complex, digital, and highly interconnected environments. I develop and apply computational and empirical methods to study decision processes, coordination structures, and organizational dynamics at scale.
A central focus of my research and consulting work is the analysis of communication and interaction structures in digital platforms as organizational and managerial phenomena. Using large-scale text analysis, natural language processing (NLP), network analysis, and experimental methods, I examine how information, narratives, and signals shape strategic decisions, governance processes, and collective behavior.
Methodologically, I combine quantitative and qualitative approaches, linking computational models with experimental and empirical studies to understand how data-driven insights relate to real-world organizational behavior and management decisions. This allows me to support evidence-based strategy, communication, and policy design, particularly in complex and public-sector contexts.
I have extensive experience in leading interdisciplinary teams, working with high-volume and high-velocity data, and translating analytical insights into actionable recommendations for management, governance, and organizational development.