BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN NAME:ABRI Lunch Seminar Elena Parmiggiani METHOD:PUBLISH BEGIN:VEVENT DTSTART:20260529T120000 DTEND:20260529T130000 DTSTAMP:20260529T120000 UID:abri-lunch-seminar-elena-parmi@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20260924T143343 LOCATION:VU Main Building, 1105, HG-05A36, De Boelelaan, 1081 HV, Amsterdam SUMMARY:ABRI Lunch Seminar Elena Parmiggiani X-ALT-DESC;FMTTYPE=text/html:

We are happy to invi te you to the ABRI Lunch Seminar Of data and cows: Data governance in the Parmigiano Reggiano production chain by Prof. Elena Parmiggiani (Department of Computer Science, Norwegian University of Science and Technology (NTNU)) organized by ABRI and the KIN Center for Digital I nnovation.

The seminar will take place on Friday, May 29th , from 12:00 to 13:00 (HG-05A36). You can find more information below .

This is a lunch seminar; please register your attendance by accepting/declining your emailed invitation by Tuesday, May 26th at t he latest (for catering).

Abstract
Cu rrent Information Systems research suggests that data value is achiev ed through situated labor. Based on an ongoing study of the Parmigian o Reggiano production chain—a Protected Designation of Origin (PDO) ecosystem in Northern Italy, I investigate the role of data governan ce in maintaining product value. I find that digital records are labo riously tethered to the fluid biological material reality of the mate rial referent, including cows, milk, cheese, forage, and bacteria. Da ta governance manifests as a craft of distributed stewardship, in whi ch the material referent must continuously demonstrate its value to s ustain the validity of data, and vice versa. I illustrate the interpl ay between data of practice derived from sensory expertise and data o f record to stabilize biological variability. As the Parmigiano Reggi ano Consortium explores ways to leverage Artificial Intelligence (AI) , I discuss some opportunities by highlighting how AI can be designed to augment embodied human judgment in material-intensive environment s. There is a potential for AI to serve as a relational tool that ena bles predictive quality management by integrating granular process da ta with traditional craftsmanship.

DESCRIPTION: We are happy to invite you to the ABRI Lunch Seminar Of d ata and cows: Data governance in the Parmigiano Reggiano production c hain by Prof. Elena Parmiggiani (Department of Computer Science, Norw egian University of Science and Technology (NTNU)) organized by ABRI and the KIN Center for Digital Innovation. The seminar will take plac e on Friday, May 29th, from 12:00 to 13:00 (HG-05A36). You can find m ore information below.

This is a lunch seminar; please registe r your attendance by accepting/declining your emailed invitation by T uesday, May 26th at the latest (for catering). Abstract< /strong>
Current Information Systems research suggests that data v alue is achieved through situated labor. Based on an ongoing study of the Parmigiano Reggiano production chain—a Protected Designation o f Origin (PDO) ecosystem in Northern Italy, I investigate the role of data governance in maintaining product value. I find that digital re cords are laboriously tethered to the fluid biological material reali ty of the material referent, including cows, milk, cheese, forage, an d bacteria. Data governance manifests as a craft of distributed stewa rdship, in which the material referent must continuously demonstrate its value to sustain the validity of data, and vice versa. I illustra te the interplay between data of practice derived from sensory expert ise and data of record to stabilize biological variability. As the Pa rmigiano Reggiano Consortium explores ways to leverage Artificial Int elligence (AI), I discuss some opportunities by highlighting how AI c an be designed to augment embodied human judgment in material-intensi ve environments. There is a potential for AI to serve as a relational tool that enables predictive quality management by integrating granu lar process data with traditional craftsmanship. END:VEVENT END:VCALENDAR