BEGIN:VCALENDAR
PRODID:-//Grails iCalendar plugin//NONSGML Grails iCalendar plugin//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260409T021858Z
DTSTART;TZID=Europe/London:20260622T090000
DTEND;TZID=Europe/London:20260625T170000
SUMMARY:Second Biennial Conference of the Society for the Study of Measurement
UID:20260410T044222Z-iCalPlugin-Grails@philevents-web-f5d4878dd-r5qzs
TZID:Europe/London
LOCATION:Edinburgh\, United Kingdom
DESCRIPTION:<p>We are excited to announce that the Second Biennial Conference of the&nbsp\;<a href="https://measurementsociety.org/">Society for the Study of Measurement</a> will be held at the University of Edinburgh&nbsp\;June 22-25 2026. The main conference will take place June 23-25\, with a pre-conference day of workshops held on June 22.&nbsp\;</p>\n<p>We are delighted to announce that <strong>Professor Jana Uher</strong> (Greenwich) will be our keynote speaker and that <strong>Professor Luca Mari</strong> (Universit&agrave\; Carlo Cattaneo - LIUC) will be giving the society&rsquo\;s inaugural presidential address.</p>\n<p>Organiser and Host for the Conference: Jo Wolff (University of Edinburgh)</p>\n<p>Queries: measurement2026@gmail.com</p>\n<p>On behalf of the Council of the Society for the Study of Measurement: Luca Mari (President)\, Eran Tal (Secretary)\, and Council Members Leah McClimans\, Nadine de Courtenay\, Miguel Ohnesorge\, David Torres Irribarra\, and Mark Wilson.<strong>&nbsp\;</strong></p>\n<p><strong>Topics</strong></p>\n<p>Please see below for a non-exhaustive list of suggested topics\; we particularly welcome contributions that make contact with this year&rsquo\;s conference theme: <strong>Ground Truth and Validity</strong>. While the notion of measurement validity is comparatively familiar\, ground truth may need more of an introduction. The concept of ground truth has origins in remote sensing\, where it is used to contrast the outcomes of a near or ground level measurement with outcomes of a remotely sensed measurement. From these origins\, the concept has now moved to a wider use\, particularly in machine learning contexts\, where it denotes data assumed to be true\, which can then be used to calibrate and validate machine learning data. The time seems ripe for a more careful investigation from a measurement perspective of the concept of ground truth&mdash\;both in its original understanding and in its more metaphorical use.</p>\n<p>Measurement and Simulation</p>\n<ul>\n<li>Connections between measuring and simulating</li>\n<li>Can simulation substitute for measurement?</li>\n</ul>\n<p>Measurement and Data Science</p>\n<ul>\n<li>Measurement and data quality</li>\n<li>Measurement and data analysis</li>\n<li>Measurement and AI</li>\n</ul>\n<p>Models in Measurement</p>\n<ul>\n<li>The role of models in measurement</li>\n<li>The role of models in justifying measurement results</li>\n<li>Models\, intersubjectivity\, objectivity\, validation</li>\n</ul>\n<p>Models of Measurement</p>\n<ul>\n<li>The general structure of the measurement process</li>\n<li>The structure of measurement in social and human sciences</li>\n<li>Transduction and calibration in measurement</li>\n<li>History of the conception of the structure of measurement</li>\n</ul>\n<p>History\, Philosophy and Sociology of Measurement</p>\n<ul>\n<li>Exploration across sciences with diverse philosophical perspectives</li>\n<li>New quantification and measurement approaches</li>\n<li>Epistemological and metaphysical approaches to measurement</li>\n</ul>\n<p>Measurement Applications and their conceptual foundations in any area of science</p>\n<ul>\n<li>Life &amp\; Health Sciences</li>\n<li>Geosciences</li>\n<li>Social &amp\; Historical Sciences</li>\n<li>Physical Sciences</li>\n<li>Engineering &amp\; Computing</li>\n</ul>\n
ORGANIZER;CN=J.E. Wolff:
METHOD:PUBLISH
END:VEVENT
END:VCALENDAR