Most researchers agree that collaboration is key, but far fewer feel confident about how to choose partners, run joint projects or explore interdisciplinary subjects. Add the pressure of shrinking budgets and the push for demonstrable impact, and working together can feel exhausting.
The good news? Collaboration requires a skill set, not a specific personality trait. With the right preparation, tools and mindset, early career researchers can explore joint work and catalyse their career.
Below are tactics researchers can apply to build successful collaborations and interdisciplinary teams.
Start with a collaboration skills audit
As an early career researcher, you may wonder how to establish a collaborative project with another lab. Writing down a plan is the first step. Before you search for partners, get clear on what you bring to a team and what you will need from your collaborators. Think about your resources and personal competencies around:
- technical resources: the methods, datasets or equipment you control
- logistics: lab space, specialised software or administrative support
- soft skills: such as mentoring, grant writing or science communication
- networks: professional associations, industry links, community contacts such as editors or programme officers.
The gaps you reveal will give you clarity. This helps you avoid projects where one party does most of the heavy lifting.
Use a ‘fit filter’ before you say yes
Not every invitation should become a collaboration. Screening questions will help you assess a proposal and can save months (or years) of regret. Ask yourself about the mission alignment: does the work advance your research agenda, your institution’s goals and (if relevant) funder priorities? If all three line up, green flag.
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Next, is the collaboration complementary? Will each party contribute distinct assets? Overlapping capabilities are fine; redundant ones waste resources. A team needs to be complementary. Importantly, is there trust? Have the potential collaborators delivered on past commitments? Ask for informal references and review their publication or project track record. It is important to review the entire team’s publications to assess their internal collaborative efforts as well.
Last but not least, consider your resource reality. Do you have the time, budget and administrative backing the project requires? If the answer to two or more is “no” or “not sure”, renegotiate the scope or graciously decline. Goodwill cannot replace team effort or indirect cost coverage. Remember, saying no upfront is better than failing to deliver your commitments.
Master collaboration communication
Once the team is assembled, communication quality will make or break the success of your research. Places where this skill will come in handy are meetings, when pitfalls emerge and things do not go well. Also, preparing a manuscript requires more constant communication than ever.
Set a regular meeting rhythm; irregular check-ins are a recipe for an unsuccessful collaboration. You can easily convert problems into solutions and save time and money by simply communicating with your team consistently. Decide which communications channels are official (email, Slack, Teams) and which are informal (WhatsApp, Messenger).
For every meeting, keep a few things in mind: define goals, deliverables (what will be done before the next meeting) and individual responsibilities in writing. You can use an AI assistant to take notes during meetings, so you can share them with the team afterwards. Convert the meetings to a charter or a shared online brief.
Periodically revisit the “why” behind the work. This keeps motivation high.
And, most importantly, have a conflict protocol in place. For example, if someone collects more data and demands to be placed in a better authorship order, or if someone leaves the project, what will you do? You should agree upfront on how you will surface and resolve disagreements. Unspoken conflict kills more collaborations than bad data.
Formalise ‘credit choreography’
Authorship and public-facing recognition are both common friction points. Discuss and agree on who will present at conferences or speak to the media or industry about the work. Knowing how, rather than whether, each contribution will be acknowledged boosts psychological safety and productivity while avoiding unnecessary conflicts.
Reduce tension by discussing credit distributions at project launch. In general, the author order is the most relevant aspect, and other points derive from this. It is best to order authorship by contributions, but other rules may apply, such as alphabetic or seniority order. Once that’s agreed, you can create an empty document where results will be displayed, listing authors’ names at the beginning, just to ensure there is understanding, even if the paper has yet to be written.
Schedule checkpoints to avoid deadlines becoming cliff edges
The size of a collaboration will depend on the goals of its participants: short or long papers, collaborative grants or even large consortia and multi-institution projects. Large consortia grants and multi-institution projects often run for years, yet most lose momentum by the halfway mark. Schedule structured checkpoints every six months to reassess the scope and prune objectives if budgets shrink or students leave the project.
These check-ins can involve: rotating leadership or subtasks to diversify skills and prevent burnout; checking whether assigned duties are going well; discussing how to help if someone is stuck; and celebrating micro-wins. Publishing a dataset or submitting an abstract, not just final publications, should be recognised.
Know when, and how, to exit gracefully
Even well-managed partnerships can reach a natural end. Signal early when your strategic priorities shift or workload becomes unsustainable.
Consider this three-step exit framework for a smooth transition and to preserve the relationship:
- Notify partners privately with context (“My lab funding has changed”; “I can no longer commit to the hours”)
- Offer transitional support (handover notes, training a replacement, brief second-authorship options)
- End on a note of thanks and an open door for future collaboration.
A clean, transparent exit today often serves as a bridge to opportunities for joint work tomorrow.
Moving forward
Effective collaboration combines self-awareness, due diligence and ongoing relationship management. By gaining clarity on the skills you can offer, filtering for fit, and planning for both success and closure, you’ll turn collaboration into a reproducible practice and accelerate discovery.
Rodrigo Pena is an assistant professor who specialises in computational neuroscience in the department of biological sciences at Florida Atlantic University.
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