Applied Artificial Intelligence
An Open Access Journal
Applied Artificial Intelligence is converting to Open Access from its 2022 volume.
Applied Artificial Intelligence focuses on research on artificial intelligence, including applications to solve engineering, administration and education tasks, and evaluations of AI systems.
It plans to foster the immediate and widescale dissemination of research results through adoption of an Open Access (OA) model. Every submission will continue to be subject to the usual vigorous reviewing process, and to help with this process, the journal has a strong editorial board of prominent and respected academics from a diverse regional and institutional background.
As part of this transition, all manuscripts received going forward will proceed through Applied Artificial Intelligence’s new Open Access submission portal. Authors who submit after 11th May 2021 will be required to pay an article publishing charge (APC) which can be covered by an author’s funder or institution. The publisher and editors have taken every step to ensure that Author Processing Charges (APCs) associated with Open Access publication do not become a prohibiting factor for publication of high-quality papers through introduction of a very competitive pricing scheme as well as setting up a APC discount or waiver initiative. The standard article publishing charge will be USD 1545/GBP 1190/EUR 1365/AUD 2070 with opportunities for funding support.
Interested authors should visit the Taylor & Francis Open Access Members and Open Access Agreements pages in case they are based at an institution that may have funds available to authors wishing to publish in Applied Artificial Intelligence. Interested readers may also want to consider signing up to receive latest article alerts to keep up-to-date with the latest research published in the Journal.
We look forward to receiving your submissions and hope you join us to embrace Applied Artificial Intelligence’s Open Access future.
Applied Artificial Intelligence is particularly interested in receiving manuscripts which highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI.
There is a comprehensive description of the journal scope as well as a clear set of instructions for authors in the journal website.
Editor-in-Chief Robert Trappl is head of the Austrian Research Institute for Artificial Intelligence in Vienna, which was founded in 1984. He is Professor Emeritus of Medical Cybernetics and Artificial Intelligence at the Center for Brain Research, Medical University of Vienna. He was full professor and head of the Department of Medical Cybernetics and Artificial Intelligence, University of Vienna, for 30 years.
Applied Artificial Intelligence is particularly interested in receiving manuscripts on:
- uses of AI systems for solving tasks in management, industry, engineering, administration, and education
- evaluations of existing AI systems and tools
- emphasizing comparative studies and user experiences
- the economic, social, and cultural impacts of AI
Why publish open access?
- Increase the visibility and readership of your research by publishing in a fully open access journal.
- Make an impact beyond the academy by making your article accessible to anyone, anywhere (including readers in industry and even policy-makers).
- Benefit from format-free submission, saving you more time for your research.
- Freely share your work with no restrictions or paywall.
- Retain ownership of your research through our unrestrictive publishing agreements.
- Discounts and waivers for researchers in developing countries are available. The journal will also consider requests for discretionary APC waivers. Find out if your institution or country has an open access agreement to publish with us.
Read the latest research
Navigate the links below to read a selection of popular recent open access articles from the journal for free.
|Artificial Intelligence in Purchasing: Facilitating Mechanism Design-based Negotiations||Ines Schulze-Horn, Sabrina Hueren, Paul Scheffler & Holger Schiele|
|An Analysis of Fast Learning Methods for Classifying Forest Cover Types||Hugo Sjöqvist, Martin Längkvist & Farrukh Javed|
|Machine Learning Applications in Baseball: A Systematic Literature Review||Kaan Koseler & Matthew Stephan|
|Tracking the Wings of Covid-19 by Modeling Adaptability with Open Mobility Data||José Sousa & João Barata|