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Digital forskning får flere forskellige udtryk hos Digital Research Centre Denmark – DIREC. En forelæsningsrække om kvantecomputere står sammen med videoer om autonome droner, kryptografi og…
Digital forskning får flere forskellige udtryk hos Digital Research Centre Denmark – DIREC. En forelæsningsrække om kvantecomputere står sammen med videoer om autonome droner, kryptografi og overgangen fra forskning til forretning. Også datavidenskab, AI og mødet mellem forskning og kunst indgår. Kanalen viser dermed både faglig fordybelse i bestemte teknologier og eksempler på de sammenhænge, hvor forskningen bliver diskuteret eller bragt i anvendelse.
Kvanteområdet er et tydeligt tyngdepunkt. Forelæsninger tager blandt andet fat i kryptografi til en tid med kvantecomputere, samspillet mellem klassisk programmering og kvanteprogrammering samt fejltolerante beregninger. Titlerne nævner konkrete oplægsholdere og tekniske emner, hvilket gør det muligt at vælge efter faglig interesse. Det er et andet niveau af indhold end en generel introduktion til digitalisering og kan især appellere til seere, der allerede har lyst til at arbejde sig ind i et forskningsfelt.
Andre videoer åbner emnerne gennem projekter og samtaler. Et forskningsprojekt undersøger autonome droners mulige rolle i beskyttelsen af dansk infrastruktur. Historien om Partisia sætter fokus på vejen fra forskning i flerpartsberegning til virksomhed, og et oplæg spørger til forbindelsen mellem kryptografiske algoritmer og juridiske principper. Hertil kommer konferencemateriale fra D3A, et interview med Henrik Christensen og indhold om en udstilling med forskning og kunst. Formaterne spænder således over forelæsninger, oplæg, interviews og projektpræsentationer.
For studerende, forskningsinteresserede og fagfolk i digitale virksomheder giver udvalget flere veje ind i stoffet. Man kan fordybe sig i et afgrænset teknisk spørgsmål eller orientere sig om forskningsmiljøets forbindelser til virksomheder og samfund. Fælles er muligheden for at møde emnerne i deres faglige sammenhæng og se, hvilke spørgsmål der driver arbejdet videre.
Seneste episode
D3A Oxford-style debate: Should AI replace PhD students in research projects?
This Oxford-style debate tackles a deliberately provocative question: Should AI replace PhD students in research projects?
The debate is not just about PhD students but touches on the broader future…
This Oxford-style debate tackles a deliberately provocative question: Should AI replace PhD students in research projects?
The debate is not just about PhD students but touches on the broader future of research and the roles humans play within it.
An Oxford-style debate is a structured form of argument in which participants are asked to defend a clearly defined motion, regardless of whether it reflects their personal views. In that sense, it is partly an exercise in intellectual role-playing, where speakers take on a position and argue it as convincingly as possible.
The motion is intentionally provocative. The aim is not to determine who is "right," but to challenge assumptions, test arguments, and explore perspectives that traditional panel discussions often leave unexplored.
The debate features:
📣 Anna Rogers
Associate Professor, Data Science Section
IT University of Copenhagen
📣Sune Lehmann
Professor of Networks and Complexity Science
DTU Compute, Technical University of Denmark
The two speakers argue for and against the motion that AI agents should replace PhD students in research projects. Far beyond the role of PhD students, the discussion explores broader questions about scientific discovery, research training, expertise, and the role humans should play in creating new knowledge. Can AI fundamentally transform research practice? What might be gained? What could be lost?
The session aims to provide a discussion of the opportunities, risks, and implications of AI-driven research for the future of science and scientific training.
Whether you support the motion or disagree with it, this debate is designed to spark reflection and conversation about how research may evolve in an AI-driven future.
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