2024 Inaugural Conference

We are excited to announce that, thanks to the enthusiastic response to the call for proposals, the Inaugural Conference of the Society for the Study of Measurement will be held in person at the University of California, Berkeley on August 4–7, 2024. 

The Conference of the Society for the Study of Measurement is an interdisciplinary conference that explores the philosophy and history of measurement. It aims to consolidate and develop the study of these topics, following previous conferences that predate the foundation of the Society in Bielefeld (2013), Cambridge (2015), Paris (2018) and Milan (2022). It will bring together philosophers, historians, sociologists, psychometricians, and metrologists to address questions related to measurement across disciplines ranging from the natural sciences to the human sciences.

Patient-Centered Measurement

Professor Leah McClimans from the University of South Carolina

Leah will discuss the dual nature of contemporary medicine, contrasting evidence-based medicine with patient-centered care. She will explore how patient-centered measurement, including patient-reported outcome measures (PROMs) and quality of life measures, can integrate patient perspectives into the evaluation of medical treatments and healthcare quality. Leah will address the challenge of how measurement, which relies on standardization, can represent patient perspectives that are often varied and changeable.

Scaling and its Relationship with Measurement: Past, Present and Future.

Professor Derek Briggs from the University of Colorado at Boulder

Derek will talk about the history of the psychometric activity of scaling and its relationship to measurement and offer some ideas for how the two can be more tightly coupled in the future.

1.  Models in Measurement

• The role of models in measurement
• The role of models in justifying measurement results
• Models, intersubjectivity, objectivity, validation
• Models of measurement from a historical point of view

2. Models of Measurement

• The general structure of the measurement process
• The structure of measurement in social and human sciences
• Transduction and calibration in measurement
• History of the conception of the structure of measurement

3. History, Philosophy and Sociology of Measurement

• Exploration across sciences with diverse philosophical perspectives.
• Revival in early 2000s overcomes science study tensions.
• New quantification and measurement approaches.
• Recognition: quantification extends beyond meaning to reliability, inference.

4. Measurement and Simulation 

• Connections between measuring and simulating
• Can simulation substitute for measurement?

5.  Measurement and Data Science

• Measurement and data quality
• Measurement and data analysis
• Measurement and AI

6.  Measurement Applications

• Health Sciences
• Social Sciences
• Life & Physical Sciences
• Operations Research and Industrial Science
• Environmental Sciences
• Business and Economics
• Agricultural Sciences
• Computer Science and Information Technology
• Urban Planning and Geography

• Diane Allen
• John Baker
• Matt Barney
• Emil Bashkansky
• Alessandra Basso
• Kirk Becker
• Svetlana Beltyukova
• Eric Benoit
• Derek Briggs
• Alex Clain
• Celeste Combrinck
• Nadine de Courtenay
• Amy Dray
• Brent Duckor
• Numan Durakbasa
• Sascha Eichstaedt
• William Fisher
• Rebecca Freund
• Alessandro Giordani
• Fabien Gregis

• Curt Hagquist
• Fan Huang
• Hrishi Joshi
• Steve Kramer
• William Lang
• Rich Lehrer
• Luca Mari
• Bob Massof
• Andy Maul
• Jeanette Melin
• Joseph Merlino
• Linda Morell
• Mark Moulton
• Emily Oon
• Rich Patz
• Mike Peabody
• Leslie Pendrill
• Daniel Perlstein
• Frank Rijmen
• Giovanni Rossi

• Thomas Salzberger
• Greg Sampson
• Veronica Santelices
• Kseniia Sapozhnikova
• Klaas Sijtsma
• Anders Skrondal
• Klaus Dieter Sommer
• Nancy Songer
• Joao Sousa
• Donna Surges Tatum
• Eran Tal
• Pina Tarricone
• Roald Taymanov
• Jen Weaver
• Judy Wilkerson
• Mark Wilson
• Stefanie Wind
• Olga Zlatkin-Troitschanskaia