The AI Journey Science Journal, part of the esteemed AI Journey Conference series, has emerged as a significant platform helping researchers share groundbreaking advances in AI.
For the period April–December 2025, this journal invites high-quality research papers for publication, spotlighting work that pushes the boundaries of AI theory, applications, and methodology.
A Gateway for Researchers Around the World 🌍
Open to scientists globally, the AI Journey Science Journal offers authors the opportunity to feature in a special issue of the Russian Academy of Sciences. Accepted papers will appear in both the original Russian publication “Доклады Российской академии наук. Математика, информатика, процессы управления” and its English-language counterpart, Doklady Mathematics.
The journal stands out by recognizing excellence—presenting a ₽1,000,000 prize for the best submission.
Submission deadlines are clear and accessible, with an August 20 cutoff for proposals and preliminary selection announcements expected by August 31, 2025 .
This robust initiative underscores AI Journey’s mission: to foster a global scientific dialogue and incentivize breakthrough research with significant practical or theoretical impact.
AI’s Expanding Role in Scientific Discovery
While the AI Journey Science Journal focuses on AI-related research, the broader scientific community is also leveraging AI more extensively than ever. Here are two noteworthy examples of this trend:
1. AI Systems Automating Scientific Workflows
A particularly notable advancement is the research project “The AI Scientist‑v2”, described in April 2025. This AI-driven system fully automates the scientific discovery pipeline: it formulates hypotheses, designs protocols, runs experiments, analyzes data, and even writes manuscripts. Impressively, an AI-generated paper produced by this system was accepted at an ICLR workshop—a first of its kind (arxiv.org, aij.ru).
Compared to its earlier version, Scientist‑v2 incorporates:
- Agentic tree-search algorithms enabling dynamic, branching decision-making across all scientific stages.
- A vision-language model (VLM) to critique and refine the visual and aesthetic quality of generated figures.
- Zero dependence on human-authored templates, allowing greater scalability across domains (arxiv.org).
This development highlights AI’s maturing role—not just as an analytical tool, but as an autonomous researcher capable of creative and methodological innovation.
2. AI for Science: Towards Seamless Integration
Parallel efforts focus on embedding AI into traditional research contexts. The March 2025 article “AI for Science: Current progress and pathways forward” analyzes AI’s penetration into high-impact journals and identifies obstacles to widespread adoption (arxiv.org).
It outlines three strategic directions:
- User-friendly tools tailored for experimental scientists, lowering the barrier to adopting AI in lab workflows.
- Proactive AI agents that act as collaborators—helping researchers at every stage of inquiry.
- Cultivating a vibrant AI‑science ecosystem, integrating education, infrastructure, and shared frameworks for reproducibility (arxiv.org, arxiv.org).
By proposing a structured AI‑Science workflow, this paper charts a path for coupling domain knowledge with AI capabilities—driving a future of hybrid human‑AI research teams.
Aligning Journals and Conferences with Innovation
AI Journey’s Science Journal seamlessly blends into this evolving ecosystem. By:
- Hosting a peer-reviewed competition with publication in a top-tier RAS journal,
- Offering significant financial incentives to reward outstanding contributions,
- Crafting clear submission timelines and support for authors,
the journal mirrors the broader shift toward transparency, accessibility, and impact in AI research publication.
The model encourages rigorous, application-focused, or theoretical papers that resonate beyond niche interests—aligning well with global trends favoring AI‑augmented discovery, as seen in Scientist‑v2 and AI4Science initiatives.
What Makes a Winning Submission?
To stand out in this competitive arena, a paper should combine:
- Originality or innovation – It must push the envelope, whether in model performance, novel methodology, or systems-driven science automation.
- Relevance and impact – Work that addresses pressing challenges (e.g., data efficiency, domain adaptation, interpretability) can rise above.
- Scientific rigor – Clear hypotheses, reproducible protocols, and well-analyzed data are non-negotiable.
- Engaging presentation – Quality visuals, compelling storytelling, and a polished write-up enhance readability and influence selection.
The prize package and RAS publication serve not only as recognition but also as powerful career accelerators.
Why This Matters Beyond Academia
The ripple effects of this journal’s model are far-reaching:
- For researchers, it’s a platform to share breakthroughs and gain visibility in the international AI community.
- For institutions and funders, it demonstrates how targeted incentives can stimulate high-impact research.
- For the AI ecosystem at large, it furthers the integration of AI-driven discovery: from hypothesis generation to experimental automation and publication.
By spotlighting rigorous, forward‑thinking work—and rewarding it—we see a shift from siloed academic efforts toward collaborative, high‑throughput science.
Looking Ahead: Opportunities for 2025 and Beyond
Authors considering submissions in the April–December 2025 window should:
- Prepare manuscripts by June–July, ensuring experiments and analysis are fully operational by the August 20 deadline.
- Engage with support initiatives, including online consultations designed to refine proposals before submission (unicornroad.ru, unicornroad.ru, aij.ru).
- Think big—whether in automating discovery, designing AI‑centric lab workflows, or developing transformative theory.
By aligning with emerging models such as Scientist‑v2 and AI4Science, researchers can position themselves at the forefront of both AI methodology and scientific impact.