AK chemometrics & quality assurance

Working Group Chemometrics & Quality Assurance

Powerful algorithms and AI are opening up entirely new perspectives on data and rapidly advancing analytical chemistry. At the same time, the demands on data quality and on efficient and robust data and quality management are increasing. Systematic quality assurance is therefore a key prerequisite for ensuring the reliability, comparability, and reproducibility of analytical results.

The Working Group Chemometrics & Quality Assurance of the GDCh Division of Analytical Chemistry actively monitors these developments and sees itself as a forum for all those who want to not only collect data in analytical chemistry but also utilize it optimally. This is particularly relevant for experts who work with univariate and multivariate methods on issues such as classification, pattern recognition, machine learning, or the Management of large analytical chemistry datasets – or who wish to specifically expand their expertise in these areas.

Short link to this page: www.gdch.de/chemometrik

Activities

We offer a variety of practical formats to impart knowledge, promote exchange, and highlight trends. Complete information about our events can be found at: https://chemometrics.gdch.events/home

Doctoral seminars. These seminars offer doctoral candidates the opportunity to present their research, hone their presentation and discussion skills, and network with industry and academia. Since chemometric teaching is rather limited in Germany, another aim of these seminars is to impart relevant chemometric fundamentals. To this end, renowned experts are invited as keynote speakers. The scientific program is complemented by a variety of excursions and workshops.

Themed Workshops. We hold an annual workshop that focuses in depth on a relevant topic. Examples of topics include methods for handling data, as well as concepts and standards for the sustainable, transparent, and efficient use of information. For these workshops, we invite experienced experts who present current developments, proven methods, and practical examples.

Guidelines. Within the working group, the Guidelines Task Force is developing a policy paper with recommendations for multivariate calibration in the analysis of spectroscopic data. Interested parties are cordially invited to contact the Task Force via the email address provided here.

Conferences & Trend Reports. We organize sessions at conferences and create articles and trend reports that clearly present developments in chemometric and analytical data analysis.

History. The Working Group Chemometrics & Quality Assurance was founded in 1991 – at that time under the name chemometrics & Laboratory Data Processing – through the merger of the Working Group on chemometrics of the Chemical Society of the GDR and the GDCh Working Group on Laboratory Automation and Data Processing.

Board 2024-2027

Dr. Claudia Beleites (Chair), Chemometrix GmbH, Wölfersheim
Prof. Dr. Stephan Seifert (Deputy Chair), University of Hamburg
Dr. Joscha Christmann (Secretary), Symrise AG, Holzminden
Dr. Andrea Paul (Associate Member), Federal Institute for Materials Research and Testing, Berlin

Permanent guest of the board
Marcel Dahms, LightGuard GmbH, Dresden

Contact the Board: ak-chemometrik@go.gdch.de

Former board members

Board 2020-2023
Dr. Claudia Beleites (Chair)
, Chemometrix GmbH, Wölfersheim
Dr. Andrea Paul (Deputy Chair), Federal Institute for Materials Research and Testing (BAM), Berlin
Dr. Jörg Kraft (secretary)
Prof. Dr. Gerald Steiner (advisor), Technical University of Dresden

Permanent guest of the board
Prof. Dr. Philipp Weller, Mannheim University of Applied Sciences

WORKING GROUP EVENTS

ANALYTICA CONFERENCE 2026

March 24-26, 2026
International Congress Center
Munich (ICM)
website
program

Annual reports

2024
2023
2022

2021
2020

Downloads

Working Guidelines

Data mining ...

... with multi-variable methods and support vector machines

Video tutorials

contact

GDCh Office
Dr. Carina S. Kniep
Phone: +49 69 7917-499

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last modified: 19.01.2026 17:59 H from Translator