Scope and Objectives
What drives the success of businesses, industries, and economies remains a crucial question in today’s rapidly changing and uncertain world. Traditional social and economic theories often fall short in explaining these dynamics or rely on ad hoc assumptions.
Recent advances in computational social science and complexity science have revealed universal patterns of success across diverse domains such as science, business, and social media. This workshop aims to synthesise the latest research in success drivers across social and economic settings, presenting recent developments and fostering a discussion on how insights from complexity science and data science—including generative AI—can contribute to a unified framework for understanding success.
The workshop will explore how these insights can be leveraged to create actionable strategies
for businesses, policymakers, and industry leaders.
Topics of Interest
We welcome submissions on topics including, but not limited to:
• Modeling Success in Business and Economics
o Complexity-based frameworks for understanding business growth and failure.
o Network science approaches to business ecosystems and market dynamics.
o Success prediction models for startups and enterprises.
• Data-Driven Approaches to Success
o Applications of AI and machine learning in forecasting economic success.
o Big data analysis for understanding business performance.
o The role of digital footprints in shaping economic success.
• Social and Economic Systems Analysis
o The impact of innovation diffusion and knowledge networks.
o Influence of regional and global factors on economic success.
o Social dynamics and behavioral aspects of organizational success.
• Policy and Strategic Implications
o Evidence-based policymaking for economic growth.
o Complex systems approaches to sustainable business strategies.
o Ethical considerations in the application of AI and data science in business decision-making.
Submission Guidelines
We invite submissions of:
• Full papers (up to 12 pages): Original research contributions.
• Short papers (up to 8 pages): Ongoing work or preliminary findings.
• Extended abstracts (3-4 pages): Conceptual ideas and discussion proposals.
The submission guidelines valid for the workshop are the same as for the FRCSS conference.
They can be found at: https://iutdijon.u-bourgogne.fr/ccs-france/submissions/
Important Dates
• Submission Deadline: March 30, 2025
• Notification of Acceptance: March 26, 2025
• Camera-Ready Submission: April 08, 2025
• Workshop Date: May 21–23, 2025
Workshop Organisers
For any inquiries, please contact us at: fabian.braesemann@oii.ox.ac.uk
Fabian Braesemann
University of Oxford
Moritz Marpe
Vienna University of Economics and Business (to be confirmed)
Ole Teutloff
University of Oxford (to be confirmed)