Open access article

Editorial—Reflecting on ACRT’s Second Year and Embracing a Future of Collaboration and Open Science

Timothy Sands

This Article is part of AI Section

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103 Article Downloads

Article Type: Editorial

Date of acceptance: December 2023

Date of publication: December 2023

DoI: 10.5772/acrt.31

copyright: ©2023 The Author(s), Licensee IntechOpen, License: CC BY 4.0

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Dear readers and collaborators,

As the new year approaches and we reflect on the achievements of our second year, let us also turn our gaze towards the promising future ahead. Thanks to your diligence, AI, Computer Science and Robotics Technology (ACRT) is off to a great start. Please accept my most heartfelt gratitude for contributing to your innovations that led to such success. As a newly launched journal, ACRT is proud to strongly support open access publishing, where authors maintain rights over their intellectual property, and their contributions remain freely available to the world without any paywall obstructing society from learning from our esteemed authors. 

The significance of open access and open science (particularly open data) cannot be emphasized enough in our field. By embracing these principles at ACRT, we are not just adding to academic discussions—we are also making knowledge more accessible and transparent, encouraging collaboration and the dissemination of knowledge.

Over the past years, ACRT’s total views and downloads reached close to 42,000, reflecting the high quality of work published in the journal and its growing impact on our field. ACRT has garnered attention from researchers from more than 30 countries, with an increase in submissions compared to our inaugural year. This growth underscores the journal’s positive trajectory. The acceptance rate, reflecting the journal’s commitment to quality, stands at 50%, reinforcing our dedication to maintaining high standards.

Many papers have been well cited and have had high numbers of downloads. Johns Hopkins University’s Dr. Sharon Mistretta led a pioneering special issue on technologies and creative learning, including articles investigating social and emotional learning. At the same time, zero-trust new norms for AI were revealed in a special issue by Eduard Babulak.

I want to thank our Editorial Board for their guidance and the leadership of six journal sections. I would especially like to highlight our reviewers for their exemplary performances, while the diligence of our editorial staff cannot go unnoticed. To each of you, I renew my commitment as EIC to buttress the journal’s technical excellence and enhance its worldwide attractiveness. Working with such a world-class editorial board and a group of contributing authors and reviewers is a distinct honour. The journal’s success is directly attributable to their hard work and dedication.

To our many supporters, we look forward to helping society learn in the year to come with your help.

We wish you and yours a wonderful New Year!

Timothy Sands,

Cornell University, USA

AI, Computer Science and Robotics Technology, Editor-in-Chief


Written by

Timothy Sands

Article Type: Editorial

Date of acceptance: December 2023

Date of publication: December 2023

DOI: 10.5772/acrt.31

Copyright: The Author(s), Licensee IntechOpen, License: CC BY 4.0

Download for free

© The Author(s) 2023. Licensee IntechOpen. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.


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