Call for Chapters: Thematic Monograph by Springer

Dear Colleagues,

We are pleased to invite you to contribute a chapter to our forthcoming edited monograph:

“Professional Integrity in the Age of AI-Enhanced ESP: Reclaiming the Human Voice in Specialized Discourse”

To Be Submitted for Publishing by:  Springer Nature (2026 Series)

Edited by: Prof. Dr. Iryna Sekret and Prof. Dr. Piet Kommers

The Rationale

By 2026, the global academic community has moved past the initial “AI hype” into a more complex era of Agentic AI. While general AI tools provide fluency, they often lack the Pragmatic Precision and Ethical Depth required for high-stakes professional communication (Medicine, Law, Engineering, Economics, and Diplomacy).

This monograph addresses a critical gap in the market: How do we maintain professional integrity when specialized discourse is mediated by algorithms? We seek contributions that explore the “Relational Turn”—positioning AI as a collaborator that requires human “orchestration” rather than a replacement for professional expertise.

Thematic Tracks & Scope

We welcome original research, theoretical frameworks, and longitudinal case studies (including extended versions of presentations from the 6th ICLTE Conference) in the following areas:

• The Ethics of Agentic ESP: Redefining “integrity” in professional writing, legal reasoning, and technical auditing.
• Metacognitive Resilience: Training the “Human-in-the-Loop” to identify algorithmic bias and hallucinations in specialized registers.
• Geopolitical & Cultural Identity: ESP as a tool for national survival and linguistic sovereignty (with special focus on Ukrainian, South Asian, and Central Asian contexts).
• Professional Integrity in Specific Domains:
  • Business & Economics: Reflective intelligence in marketing and finance.
  • Tourism & Identity: Authenticity in cultural and tourism discourse.
  • STEM & Medicine: Accuracy and ethical responsibility in technical ESP.
• The “Orchestrator” Role: New pedagogical models for ESP teachers moving from “grammar-checkers” to “guardians of professional ethics.”

Submission & Selection Process

Each chapter must present a novel study or critical survey of at least 6,000–8,000 words. All submissions will undergo a double-blind peer-review process according to Springer Nature’s 2026 quality standards.

Submission Package:

1. Chapter Title & Abstract (300–500 words).
2. 5–10 SEO Keywords (essential for SpringerLink indexing).
3. Author(s) Biography (150 words per author, including ORCID).
4. Preliminary Bibliography.

Important Dates:

• Abstract Submission Deadline: [IApril 10, 2026]
• Notification of Acceptance and Confirmation of Participation: [May, 20, 2026]
• Full Chapter Submission: [July, 30, 2026 ]

Why Contribute?

• World-Class Indexing: Published in a series indexed by Scopus and Web of Science.
• Global Impact: Align your research with the UNESCO 2026 Roadmap for Linguistic Justice and Digital Sovereignty.
• Prestige: Join a network of leading scholars from the IATELS and STARTINFORUM international frameworks.

Please check the tentative monograph plan in the attachment. Feel free to confirm your participation in the project as a suggested author, come up with more and other ideas, and suggest your colleagues from your institution and other countries who can be interested in joining the project.

We look forward to receiving your proposal and working together to define the future of professional integrity in our field.

Monograph Contributor Checklist: Standards for Publication

1. Intellectual Core & Alignment

• Integrity Focus: Does the chapter explicitly address Professional Integrity (ethics, accountability, or authenticity) rather than just technical AI usage?
• The “Relational” Angle: Does the work explore the Human-AI partnership? (Chapters should avoid a purely “AI-can-do-it-all” narrative).
• Agentic Context: Does the research acknowledge the transition from simple generative tools to Agentic AI (autonomous systems, personalized agents, or goal-oriented tutors)?

2. Research Rigor (Springer 2026 Compliance)

• Empirical Strength: If based on a case study (e.g., Ukraine, Pakistan, etc), does the chapter include data, methodology, and a clear discussion of results?
• Originality & Accountability: The author confirms they are solely responsible for the content. Note: AI tools must NOT be listed as authors.
• Transparency Declaration: If AI was used for data analysis or drafting, is this transparently declared in the Acknowledgements or Introduction?
• Citation Quality: Are references recent (2023–2026) and do they include global perspectives beyond Western-centric sources?

3. Professional ESP Specifics

• Domain-Specific Precision: Does the chapter analyze a specific professional register (e.g., Legal English, Medical ESP, Economic Discourse, or Tourism)?
• Pragmatic Competence: Does it discuss the “nuance” and “cultural context” that AI often misses in professional settings?

4. Technical & Formatting Requirements

• Abstract: A 200-word concise summary for SpringerLink indexing.
• Keywords: 5–7 strategic SEO keywords (e.g., Digital Sovereignty, Linguistic Justice, Agentic Pedagogy).
• Length: 6,000 to 8,000 words (including references).
• Permissions: Have all rights for third-party images, charts, or long quotes been cleared for both print and electronic use?
• Formatting: Use the Springer Standard (Arabic numerals for chapters, hierarchy of headings, and no custom fonts).

Abstract Evaluation Rubric: Professional Integrity in AI-Enhanced ESP

Reviewer Name: __________________________

Abstract ID/Author: _______________________

Proposed Track: (e.g., Legal, Medical, Tourism, Pedagogy)

Scoring Guide & Decision Matrix

• 25–30 Points (Accept): Highly original. Perfectly aligns with the “Human-in-the-Loop” and “Sovereign Voices” themes. Clear contribution to ESP.
• 18–24 Points (Accept with Revision): Solid research but may need to be “pivoted” more toward the Professional Integrity angle. The author should be asked to clarify the “Agentic” element.
• 12–17 Points (Reject/Transfer): Too generic. Likely a standard “AI in the classroom” paper that doesn’t fit the specialized ESP focus.
• Below 12 Points (Reject): Significant flaws in methodology or completely outside the scope of the monograph.

Red Flags for 2026 Submissions (Springer Standards)

When reviewing, keep an eye out for these “Instant Rejection” or “High Revision” markers:

1. “AI as Author”: If the author lists an AI tool as a co-author (Springer policy strictly forbids this).
2. Generic Content: Abstracts that sound like they were 100% written by an AI without human editing (check for lack of specific case-study data).
3. Outdated Context: Papers that treat AI as a “new mystery”—by 2026, we are looking for governance and auditing of AI, not just an introduction to it.

For submissions and inquiries, please contact us at start.inforum@gmail.com