Aims and scope

Announcement

We are pleased to announce that Information Retrieval Journal became fully open access (OA) on 1 January 2024 and moved into our Discover series as Discover Computing. As a result, all submissions are subject to an article publication charge (APC) if accepted (unless a waiver is applied) and will be published in Discover Computing. Please see our FAQs journal update for more information on APCs, funding options, and waivers. 

Discover Computing is a fully open access, peer-reviewed journal that supports multidisciplinary research and policy developments across all fields relevant to computer science. The journal aims to be a resource for researchers, policy makers and the general public for recent advances in computer science, and its uses in research development and society. As a fully open access journal, we ensure that our research is highly discoverable and instantly available globally to everyone. The journal particularly welcomes work that aims to address the United Nations Sustainable Development Goals, especially, Industry, Innovation and Infrastructure.
 
Topics 

Topics welcomed at Discover Computing include but are not limited to the following:

Foundational computing theories:

    Algorithms, data structures, computational complexity
    Automata theory, graph theory, formal languages
    Turing machines, P vs NP problem, lambda calculus

Modern computing architectures and systems:

    Quantum computing, distributed systems, parallel computing
    Microarchitecture, multicore processors, memory hierarchies
    Cloud computing, edge computing, serverless architectures

Human-computer interaction:

    User experience (UX), user interface (UI), accessibility
    Cognitive ergonomics, adaptive systems, virtual reality
    User-centered design, haptic feedback, gesture recognition

Artificial intelligence and machine learning:

    Neural networks, deep learning, reinforcement learning
    Natural language processing, computer vision, robotics
    Generative adversarial networks (GANs), transfer learning, explainable AI

Cybersecurity and privacy:

    Cryptography, firewall, intrusion detection systems
    Digital forensics, malware analysis, blockchain security
    Data anonymization, end-to-end encryption, zero trust architectures

Emergent technologies:

    Augmented reality (AR), virtual reality (VR), mixed reality (MR)
    Internet of Things (IoT), 5G, smart cities
    Drones, autonomous vehicles, wearable tech

Societal impacts of computing:

    Digital ethics, algorithmic bias, technological unemployment
    Digital divide, accessibility, information equity
    Digital literacy, e-governance, surveillance capitalism

Content types

Discover Computing welcomes a variety of article types – please see our submission guidelines for details. The journal also publishes guest-edited Topical Collections of relevance to all aspects of computer science and its applications. For more information, please follow up with our journal publishing contact.

Special Issue on Advances in Large Language Models and Natural Language Processing
Submission Date: 2025-04-30

The advent of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP), enabling unprecedented advancements in language understanding, generation, and interaction. This Topical Collection aims to gather pioneering research on the development and application of LLMs, focusing on their transformative impact across various domains such as education, healthcare, and finance. By addressing key challenges and opportunities, the collection seeks to foster a deeper understanding of LLM capabilities and limitations, promoting innovative methodologies and practical solutions. Specific areas of interest include, but are not limited to, LLM architectures, fine-tuning techniques, ethical considerations, real-world applications, and performance evaluation metrics. This collection will serve as a comprehensive resource for scholars, practitioners, and industry experts, driving forward the conversation on the future of NLP and AI.

This Collection supports and amplifies research related to SDG 4, SDG 8, and SDG 9.

Keywords: Large Language Models, Natural Language Processing, Computational Linguistics, Text Generation, NLP Techniques.