CALL FOR PAPERS  
Special Issue on Design of Experiments

Part B: Statistics (Econometrics and Statistics)
Impact Factor 2.5 (Q1 Statistics and Probability)
http://www.elsevier.com/locate/ecosta

We are inviting submissions for a special issue of the journal
Econometrics and Statistics (Part B: Statistics) on the Design of
Experiments. Experimental research is essential in many areas of
science, including agriculture, biology, chemistry, engineering,
medicine and physics. Its efficiency and success depend on the way
data are collected and analysed, and statistics plays an important
part in such studies. The selection or construction of suitable
experimental designs contributes substantially to achieving the
necessary validity, statistical efficiency and inferential accuracy of
experimental results, at minimum cost.

Modern experimental settings increasingly involve complex structure,
constraints and competing objectives that demand principled design
strategies beyond classical templates. At the same time, connections
between experimental design and areas such as computational modelling,
causal inference and machine learning are opening new methodological
questions. We welcome contributions on the theory, methodology and
application of experimental design broadly, whether developing new
methods, extending existing frameworks to new settings, or
demonstrating novel applications.

This special issue aims to expand the frontiers of how we develop and
deploy useful experimental designs.

Key topics are:

Adaptive and sequential designs
Computer experiments
Designs for compound optimality criteria
Designs for dependent observations
Designs for mixed models
Experiments with mixtures
Multi-tiered experiments 
Designs for nonlinear models
Population designs
Response surface methodology
Robustness of experimental designs
Constrained experimental design
Screening experiments
Split-plot and multi-stratum designs
Supersaturated designs
Bayesian design
Online controlled experimentation
Active learning and design for machine learning
Experiments with interference or spillover

In order to be considered for publication, the papers should have a
significant novel component pertaining to Design of Experiments.
Papers dealing, directly or indirectly, with theoretical,
computational and technical elements are particularly encouraged.
Original methodological or computational methods for experimental
designs inspired by applications will also be considered. Authors who
are uncertain about the suitability of their papers should contact the
editors.  All submissions must contain original unpublished work that
is not being considered for publication elsewhere.

Submissions will be refereed according to standard procedures for
Econometrics and Statistics. Information about the journal can be
found at http://www.elsevier.com/locate/ecosta.

The deadline for submissions is 20 December 2026.  However, papers can
be submitted at any time and once they are received, they will enter
the editorial system immediately.

Papers for the special issue should be submitted using the Elsevier
Electronic Submission tool EM:
https://www.editorialmanager.com/ecosta/.
In the EM, please choose the special issue on Design of Experiments.

The special issue editors:

Steven Gilmour, King's College London, UK
Email: steven.gilmour@kcl.ac.uk

Ming-Hung Kao, Arizona State University, USA
Email: mkao3@asu.edu

Dave Woods, University of Southampton, UK
Email: D.Woods@soton.ac.uk