13935: Advancing Scholarship on Data: Theories, Methods, and Insights on Data-Intensive Technologies

Saturday, July 26, 2025

14:00 - 16:00 CEST (GMT+2)

Location: Bella Center: Hall B- B5-m8

Session Type: PDW (workshop)
Orientation: Research
Shareable link: https://cdmcd.co/yKAj7A

Organizer(s)

MS

Marta Stelmaszak

U. of Massachusetts Amherst, United States
DX

Daisy Xu

The University of Queensland, Australia
AA

Aleksi Aaltonen

Fox School of Business, Temple U., United States

Presenter(s)

AR

Angelo Romasanta

ESADE Business School, Spain
DP

Dragana Paparova

University of Oslo, Norway
JL

Johanna Lorenz

U. of Hamburg, Germany
JK

Jodie Koh

Northwestern Kellogg School of Management
OB

Olivia Benfeldt

Copenhagen Business School, Denmark

Discussant(s)

EM

Eric Monteiro

-, Norway
KL

Kalle Lyytinen

Case Western Reserve University, United States
MA

Margunn Aanestad

University of Oslo, Norway
HB

Hind Benbya

Deakin University, Australia
CL

Christine Legner

University of Lausanne, Switzerland

Many popular topics in digital technology are intimately tied to data. Recent developments in generative AI, blockchain-based organizing, or digital twins rely extensively on new kinds of data produced, circulated, and brought together in the digital environment. Governing these and other similar technologies and understanding their various impacts on individuals, organizations, and society at large require new theorizing, methodological developments, and empirical insights that help account for the role of data in contemporary digital technology. In this professional development workshop, we explore the opportunities and challenges that the emerging data-intensive technologies pose for data scholars. We widen participation in the discussions by inviting emerging scholars to open the workshop by presenting their work on novel data-intensive phenomena. We particularly focus on five areas: 1) synthetic data, 2) digital twins, 3) personal data, 4) data and AI, and 5) data governance. First, five presenters provide an overview of their recent research in these areas, followed by breakout group discussions with participants working in these areas led by five expert discussants regarding theories, methods, and insights into the study of data in each area. Finally, the expert discussants convene into a panel to provide summative insights and suggestions for data scholars in these areas.