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Event 11. juni 2026, 16:15-18:15

In­vi­ta­tion for PhD De­fen­ce - Davi­de Can­ni­to

PhD De­fen­ce

*Plea­se note that the mi­crop­ho­ne and ca­me­ra of all specta­tors must be tur­ned off.

PhD De­fen­ce

Tid
11. juni 2026, 16:15-18:15
Lokation

Lo­ca­tion: Ki­len
Room: Ks48 (gro­und floor)
Re­cep­tion: SI Lun­chroom area Kl 2.75 (second floor)
*The CBS PhD School will host a re­cep­tion, which will take pla­ce im­me­di­a­te­ly af­ter the de­fen­ce.
Sprog
Eng­lish

In order to obtain the PhD degree, Davide Cannito has submitted his thesis entitled:

Three Essays on Research Data and the Science of Science

This dissertation examines how the data environment — its accessibility, governance, and technical infrastructure — shapes what can be measured and learned about knowledge production and knowledge transfer. The first essay uses linked administrative data on approximately 4.6 million U.S. patent applications to study how continuing applications are filed at the USPTO after the TRIPS and AIPA reforms and shows that they are more privately valuable than original patents across renewal, litigation, licensing, and collateralization outcomes. The second essay draws on a population survey of researchers at all eight Danish universities, merged with bibliometric data, to compare academic engagement across disciplines and gender, finding that STEM and SSH fields differ in the form rather than the degree of engagement. The third essay introduces the Forgetful Agent, a policy-first architecture for analysing confidential unstructured text in Trusted Research Environments without exposing raw content to the researcher and demonstrates it on confidential grant proposals linked to public publication data.

The thesis will be available from research.cbs.dk

Assessment Committee:  

Professor Keld Laursen (Chair) 
Department of Strategy and Innovation 
Copenhagen Business School  

Associate Professor Cindy Lopes Bento 
Department of Management, Strategy and Innovation 
KU Leuven  

Associate Professor Milan Miric 
Deptartment of Data Sciences & Operations 
University of Southern California, Marshall School of Business