New THE Collection Maps Practical Skills Behind Higher Education Collaboration

Times Higher Education has published a new Campus collection outlining practical methods for strengthening collaboration across universities, with contributors from institutions in the US, UK, Hong Kong and Mexico arguing that productive partnerships depend on explicit skills rather than goodwill alone. The collection, reported by THE on 6 August, ties directly into the wider conversation around in-depth AI guides, research and practical insights, since AI research and education are among the most collaboration-heavy activities in modern academia.

Why collaboration is now a core skill, not a soft ideal

Times Higher Education reports that the contributors frame collaboration as a craft that must be taught, scheduled and resourced, not assumed. Rodrigo Pena of Florida Atlantic University argues that early career researchers need concrete tools to build partnerships that hold up under tight budgets and shifting priorities, while Alina Zare of the University of Florida writes that interdisciplinary projects “run smoothly” only when planning is treated as a deliverable in its own right. Jonna Lee of Georgia Tech’s Center for 21st Century Universities adds that effective collaboration requires clear goals, shared contributions, project management, cultural awareness and explicit space to raise concerns.

The collection lands at a moment when collaboration has become structurally important for AI-related scholarship. Building models, assembling datasets and validating claims across labs all depend on distributed teams operating with shared standards — a dynamic that mirrors what THE contributors describe in broader research culture. For readers following in-depth AI guides, research and practical insights, the implication is direct: the same collaborative habits that shape interdisciplinary science shape the AI field itself.

The competitive tension inside every institution

THE contributors acknowledge an uncomfortable truth at the outset: higher education rewards individual performance. Funding calls, tenure reviews, journal credit and even student grades push scholars toward rivalry. Writing, reflection and lecturing are still framed as solitary pursuits. Against that backdrop, the collection argues, collaboration has to be designed in, not hoped for. That argument mirrors recent coverage on this site about how professional domains, from legal practice to media policy, are being reshaped by collaborative AI tooling — see, for example, the discussion in Lawyers Must Lead With Character as AI Reshapes Legal Work, which traces the same shift from solo expertise to orchestrated teamwork.

Research collaboration: skills, culture and international reach

The first major strand of the collection covers research practice. Valentina Cardo, Claire Clarkin and Ingrid Slade of the University of Southampton describe interdisciplinary research cultures as inclusive rather than competitive, noting that work that crosses disciplines “strengthens networks, diversifies expertise and moves thinking beyond inherited boundaries,” but only when teams invest time, curiosity and willingness to confront structural friction. Their advice is timely: the UK’s Research Excellence Framework 2029 will judge universities partly on the quality of their research cultures, and interdisciplinarity is positioned as a marker of robust, ethical and inclusive teams.

Julian C. Pena-Bermudez of Universidad del Caribe (UNICARIBE) offers a concrete tool for international outreach: LinkedIn, used as a professional community rather than a static CV. Mayer Cabrera-Flores of CETYS Universidad lays out five practical steps for building sustainable interdisciplinary collaboration, drawn from setting up an interdisciplinary research institute. Ian D. Williams of the University of Southampton pushes institutions to treat technicians, research software engineers, data stewards and core-facility specialists as strategic partners — a reminder that the people who keep AI pipelines running are collaborators, not support staff.

International collaboration is growing fast — and fragile

Times Higher Education highlights data showing that 67 per cent of UK papers in 2022 included international co-authors, up from 37 per cent in 2012, while US papers went from 23 per cent to 40 per cent in the same period. The trend is unmistakable, but the contributors warn that the mechanics are fragile. Xiao-Lin Zhao and Chien-Ming Wang of The Hong Kong Polytechnic University outline how cross-disciplinary research teams, government and industry can be steered on a single project, while Jeremy Howick of the University of Leicester shares lessons from a global network focused on empathy in healthcare — most international collaborations, he notes, never move beyond initial enthusiasm and a signed memorandum.

Teaching collaboration: embedding it before assuming it exists

The second strand addresses the classroom. THE contributors argue against the common assumption that students arrive knowing how to collaborate. Jillian Terry of the London School of Economics and Political Science describes first-year interdisciplinary research projects as a way to teach collaboration without overloading staff with administration. Ya Zhang and Shuhao Zhang of XJTLU offer a five-step process designed to counter the default behaviour in student group work of dividing and writing, by intentionally structuring purpose, roles and communication styles from the start. Rafael Núñez of UNICARIBE follows with practical tips for transforming traditional assignments, research projects and graduate theses into opportunities to connect students with real-world stakeholders.

For readers tracking how AI is taught and learned, the parallel is clear: collaborative pedagogy shapes the next generation of researchers who will build and audit AI systems. The same instinct to move students from spectators to collaborators shows up in how universities are now approaching generative tools in the classroom.

Co-creation with students and the GenAI turn

Kawtar Abouhazim of Al Akhawayn University writes that small changes to communication can help students, faculty and graduates engage with each other on issues affecting higher education today. The collection closes by exploring how generative AI can amplify co-creation — improving productivity and broadening participation — provided empathy remains a designed outcome rather than an afterthought. This framing echoes ongoing debate covered on this site, including the analysis in Why China’s State Media Is Pushing to Replace English AI Terms and Why Chinese State Media Wants to Drop English AI Terms, which examine how language, terminology and co-creation norms are being negotiated around AI.

What institutions and AI practitioners should take away

Across the collection, three patterns emerge for anyone building collaborative systems in research or higher education. First, structure beats enthusiasm: scheduled discussions, written roles and shared deliverables outperform loose coalitions. Second, inclusion is a design choice, not a slogan — interdisciplinary teams, technical staff and students all need named roles if their contributions are to count. Third, international and cross-sector work fails unless time zones, incentives and cultural expectations are managed from day one.

For practitioners following in-depth AI guides, research and practical insights, the takeaway from THE’s Campus collection is that the collaboration playbook is being rewritten in real time. The universities that thrive will be those that treat partnership as a measurable skill, equip early career researchers with the tools to practise it, and extend authorship beyond the traditional academic core. Readers who want to continue exploring how AI is reshaping professional and institutional norms can also revisit related coverage on this site, including the wider guides section and the contact page for further inquiries.