ScaDS.AI Dresden/Leipzig announces and welcomes you to join its public colloquium session on Wednesday, January 21, 2026 at 1:15 pm CET (11:00 am). The colloquium takes place at seminar room “Zwenkauer See” at ScaDS.AI Dresden/Leipzig (details below) and parallel online (link to Zoom session).

AI-Standardisation in Econometric Research Models

Econometric models are usually used to understand real market scenarios and then applied to predict the result of policies. Today the use of AI-Agents and the advanced computational power is changing the landscape of economic simulations. Gains in precision and forecasting are huge. The ability to simulate markets has been proved feasible with compatibility to economic theory. Some examples are monopolies, duopolies, oligopolies and perfect competition [1]. The main problem of these simulations is the comparability within each other and the replicability. To address that situation we introduce a framework for creating models based on recent ISO standards [2]. The goal is to generate a Dynamic Non-Stochastic General Nomologic Model (DNSGNM) [work-in-progress] using multiple agents reinforced learning [1]. Applications of these models are destined to education and policy making.

About Cristian von Matuschka

His most recent research interests lie at the boundary between AI and econometrics. His work has been published in these peer-reviewed journals [titles translated]: Cuyonomics – Research in Regional Economics (Faculty of Economics, UNCuyo), InTer (Journal for Innovation and Technology Law edited by the Faculty of Economics, TU Chemnitz), and RTI (Journal of Tourism and Identity by the Faculty of Philosophy, UNCuyo). He usually gives guest lectures and expositions throughout Argentina and Germany.

Born in Mendoza in 1985, he received a PhD from Universidad Nacional de Cuyo in collaboration with the Technische Universität Chemnitz in 2020. He was awarded the distinction of the highest degree. His research has been funded with international grants.

References

[1] Von Matuschka, C. (2025). Use of symbolic artificial intelligence for understanding market behaviour. Cuyonomics – Research in Regional Economics, 9(15):135-166. [in Spanish] DOI:10.48162/rev.42.075
[2] relevant ISO standards

ISO/IEC TS 6254:2025	[IT] – [AI] – Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems
ISO/IEC TR 20226:2025	[IT] – [AI] – Environmental sustainability aspects of AI systems
ISO/IEC TS 42119-2:2025	[IT] – [AI] – Testing of AI Part 2: Overview of testing AI systems
ISO/IEC 12792:2025	[IT] – [AI] – Transparency taxonomy of AI systems
ISO/IEC TR 21221:2025	[IT] – [AI] – Beneficial AI systems
ISO/IEC 42006:2025	[IT] – [AI] – Requirements for bodies providing audit and certification of artificial intelligence management systems

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Location

ScaDS.AI Dresden/Leipzig
Löhrs Carré, Humboldtstrasse 25, 04105 Leipzig
3rd floor, large seminar room (A 03.07 “Zwenkauer See”)