Abstract image showing a white interlaced web on a black background

Interdisciplinary Workshop on Firm-Level Supply Networks

Reconstruction and Dynamics

Supply chains underpin much of the functioning of the economy, including critical sectors such as food, medicine, defense, and engineering. Increased complexity, the adoption of lean management principles, and interdependence have resulted in increased vulnerability to disruptions that often spread through global networks, halting the flow of materials and services. Supply chain risk has been identified as a top business risk factor in a variety of industrial sectors and has been prioritized by numerous governments. The climate crisis and increased geopolitical instability are expected to exacerbate the challenges faced by supply networks.

To tackle these challenges, we need a better understanding of supply networks at the firm and product levels. This will require better maps of the global supply networks and new modeling approaches to analyze them. In the 4th Interdisciplinary Workshop on Firm-Level Supply Networks, we bring together leading experts and early career researchers in economics, complex systems, and supply chain management, to discuss recent advances in the analysis of granular supply network data.

We will devote the first day of the workshop to specific real-world applications of firm-level supply networks, including sessions on CO2 accounting, human rights, the dynamic evolution of supply networks, and international trade. The second day of the workshop will be devoted to mapping supply networks, discussing state-of-the-art reconstruction methods (e.g., maximum entropy, machine learning) and data sources (e.g., payment data).

 

24 - 25 June 2024

9:00 am - 6:00 pm

Workshop

Complexity Science Hub - Room E02

Complexity Science Hub Vienna, Josefstaedter Straße 39, 1090 Vienna, Austria

Contact

events@csh.ac.at
info@ascii.ac.at

Speakers

Complexity Science Hub

INET, University of Oxford

Complexity Science Hub

Organizers

Supply Chain Artificial Intelligence Lab, University of Cambridge 

Complexity Science Hub

INET, University of Oxford

Complexity Science Hub

Complexity Science Hub, ASCII

Complexity Science Hub

NEWS

Unfortunately, we have to postpone the first ASCII Nachtcafé planned for today until next week due to the effects of the heavy rainfall in Eastern Austria.
We are looking for a dedicated PhD researcher or part time Data Engineer for an interdisciplinary collaborative research project on developing a supply network stress testing (SNST) framework for real world supply network data.
In a commentary in the current issue of Science, Peter Klimek and Stefan Thurner from ASCII shed light on the long-term effects of the Ukraine war and related supply chain disruptions on diabetes worldwide.