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Providing AI expertise as an infrastructure in academia

Piraud, Marie and Camero, Andres and Götz, Markus and Kesselheim, Stefan and Steinbach, Peter and Weigel, Tobias (2023) Providing AI expertise as an infrastructure in academia. Patterns, 4 (8), pp. 1-4. Elsevier. doi: 10.1016/j.patter.2023.100819. ISSN 2666-3899.

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Official URL: https://www.sciencedirect.com/science/article/pii/S2666389923001885

Abstract

Artificial intelligence (AI) is proliferating and developing faster than any domain scientist can adapt. To support the scientific enterprise in the Helmholtz association, a network of AI specialists has been set up to disseminate AI expertise as an infrastructure among domain scientists. As this effort exposes an evolutionary step in science organization in Germany, this article aspires to describe our setup, goals, and motivations. We comment on past experiences, current developments, and future ideas as we bring our expertise as an infrastructure closer to scientists across our organization. We hope that this offers a brief yet insightful view of our activities as well as inspiration for other science organizations.

Item URL in elib:https://elib.dlr.de/197792/
Document Type:Article
Title:Providing AI expertise as an infrastructure in academia
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Piraud, MarieHelmholtz MunichUNSPECIFIEDUNSPECIFIED
Camero, AndresUNSPECIFIEDhttps://orcid.org/0000-0002-8152-9381UNSPECIFIED
Götz, MarkusKarlsruher Institut für Technologie (KIT)https://orcid.org/0000-0002-2233-1041UNSPECIFIED
Kesselheim, StefanJülich Supercomputing CentreUNSPECIFIEDUNSPECIFIED
Steinbach, PeterHelmholtz-Zentrum Dresden-RossendorfUNSPECIFIEDUNSPECIFIED
Weigel, TobiasDeutsches Klimarechenzentrum, Hamburg, GermanyUNSPECIFIEDUNSPECIFIED
Date:11 August 2023
Journal or Publication Title:Patterns
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:4
DOI:10.1016/j.patter.2023.100819
Page Range:pp. 1-4
Publisher:Elsevier
ISSN:2666-3899
Status:Published
Keywords:artificial intelligence
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Camero, Dr Andres
Deposited On:18 Oct 2023 13:31
Last Modified:09 Apr 2024 14:16

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