Collaborating with Cross-Disciplinary Teams

Regardless of what you've been told, academic communication and dissemination is (much) more than just publishing. When I started my research career, I thought publishing papers was the key part of being successful in academia. Needles to say, was I wrong! Academic communication is a powerful ecosystem that extends far beyond peer-reviewed journals. Here are 5 critical communication channels every academic should master: 1. Conference Presentations • Storytelling matters more than dense data slides • Practice your narrative arc • Engage, don't just inform 2. Digital Platforms • Twitter/X for rapid knowledge sharing • LinkedIn for professional networking • Personal blogs for deeper insights • YouTube for visual explanations 3. Collaborative Workshops • Cross-disciplinary dialogue • Knowledge co-creation • Breaking academic silos 4. Public Engagement • Science communication podcasts • Media interviews • Community lectures • Making complex ideas accessible 5. Mentorship & Dialogue • Guiding next-generation researchers • Informal knowledge transfer • Building intellectual communities Pro Tip: Your research impact isn't measured just by publication count, but by how widely and effectively you communicate your insights. Have you expanded your academic communication beyond traditional publishing? What strategies have worked best for you? #PhD #Research #Science #Scientist #Academia #Professor #Nature #Publishing

Under the microscope, tissues and cells look complex and beautiful. But without context, their story can be hard to follow, much like the science behind them. That’s why I’m so passionate about accessible science communication. In biotech and life sciences, breakthroughs like gene editing and cell therapies are extraordinary. But if they’re hidden behind technical language, we miss the chance to inspire, build trust, and show their real-world impact. At Thermo Fisher Scientific, I’ve seen how storytelling can unlock that understanding. We tell stories about the researchers, patients and innovators behind science to bring discoveries to life, use formats like podcasting to make complex topics approachable to spark curiosity beyond the lab, and social media to turn small scientific details into moments of wonder for a broad audience. The communicator’s role is to help people see both the beauty and the meaning behind the work so that people can feel connected to it. The most successful science communicators are shifting their focus from complexity to clarity. 💡 They translate research into stories that resonate with non-scientists. 💡 They highlight the why behind innovation, not just the how. 💡 They use plain language without sacrificing scientific accuracy. When we make science more accessible, we don’t dilute it. We amplify it. And in doing so, we bring more people into the conversation, which is where real impact begins.

Only 26% of leaders create psychological safety in their teams*. This means just 1 in 4 leaders are truly tapping into the full potential of their people. Psychological safety is the secret ingredient that turns good teams into extraordinary ones—and it doesn’t require grand gestures. It’s the small, often overlooked actions that make the biggest difference. See the examples: 1. Admit your own missteps: 🗣 Example: "Last quarter, I missed a key detail in our strategy, and it led to a delay. Here’s how I’m adjusting my approach." 2. Ask for feedback, then act 🗣 Example: "After hearing your thoughts on our meeting structure, I’ve decided to shorten our agenda and focus more on discussion." 3. Show that asking for help Is normal 🗣 Example: "I’m struggling with this new software—can someone show me how to use this feature?" 4. Celebrate the journey, not just the destination 🗣 Example: "The presentation wasn’t flawless, but the way you tackled the research was impressive." 5. Give permission to challenge 🗣 Example: "I want someone to play devil’s advocate—how could this plan go wrong?" 6. Create space for dissent 🗣 Example: "Before we finalize, let’s hear from anyone who sees this differently." 7. Reframe failure as growth 🗣 Example: "Our experiment didn’t yield the results we hoped for, but we now know what to avoid next time." 8. Demystify decision-making 🗣 Example: "We chose this vendor because they align with our long-term sustainability goals." 9. Reward curiosity 🗣 Example: "That question opened up a whole new line of thinking—thanks for bringing it up!" 10. Spotlight the quiet contributors 🗣 Example: "I want to highlight Anna’s work on the backend—it’s crucial to our project’s success, even though it’s often behind the scenes." True trust doesn't come from protecting your people from conflict or tough conversations. It’s born from inviting in every voice, especially the ones that challenge the status quo. If you're not making space for diverse ideas, you're not just missing out—you're holding your team back. * 📚 Study source: McKinsey & Co., “Psychological safety and the critical role of leadership development,” 2021.

What if the real barrier to research impact isn’t its complexity but how we talk about it? Academics are often trained to clarify, explain and condense. But too often, this means stripping away the richness that makes our work meaningful. In the pursuit of accessibility, nuance is lost. We worry that public communication requires dumbing down. It doesn't. The key is not simplification. It’s reframing. Reframing doesn’t dilute complexity; it gives it shape, purpose, and resonance. It starts not with data, but with values. When we frame research through the lens of what people care about, like fairness, dignity, community, or autonomy, we make it more than intelligible. We make it relatable. And once research feels relevant, it becomes powerful. Take entrepreneurship research. Academics often describe entrepreneurs as opportunity recognisers or resource orchestrators. Accurate, but the terms are jargonistic and potentially alienating. Reframed through values, the same research becomes something else: 🔹 How people take initiative in the face of uncertainty. 🔹 How communities respond to exclusion by creating their own solutions. 🔹 How young people or other groups reclaim agency in economies that have closed traditional pathways. It's the same ideas, but now they're a story about resilience, justice, and hope. Now people can not only understand the concepts, but they can also relate to them. The science of framing shows that how we structure information, what we highlight, what we omit, and the metaphors we use, profoundly influence how ideas are received. Not because people are irrational, but because they rely on mental shortcuts to make sense of an overwhelming world. This matters in a world grappling with inequality, misinformation, polarisation, and systemic challenges. Research can and should inform public debate. But only if we learn to tell stories that carry ideas across boundaries of discipline, sector, and ideology. It isn't a matter of whether people are capable of understanding complex research, but whether we’ve done the work to frame it in terms that matter. In short: Stop explaining. Start connecting. #ResearchImpact #Entrepreneurship #PublicScholarship #ScienceCommunication

If your team’s not speaking up… you’ve already lost. Not ideas. Not productivity. Trust. And once trust is gone? Innovation stalls. Collaboration dies. People check out—or walk out. The fix? Not another tool. Not another policy. But something far more powerful: Psychological safety. It’s not a “nice to have.” It’s the hidden engine behind every high-performing team. Here’s how you build it—one conversation, one decision, one moment at a time 👇🏼 1. Lead with curiosity, not judgment. ↳ “Help me understand…” beats “Why’d you do that?” 2. Admit your own mistakes. ↳ Model the safety you want others to feel. 3. Give credit generously. ↳ Shine the light on others—often and publicly. 4. Respond, don’t react. ↳ Let people tell the truth without fear of fallout. 5. Invite pushback. ↳ Ask: “What am I missing?” 6. Remove silent punishments. ↳ Reward honesty, not just agreement. 7. Normalize “I don’t know.” ↳ That’s how real learning starts. 8. Make feedback feel safe. ↳ Correct with care. Aim for growth, not shame. 9. Start meetings with check-ins. ↳ Connection before conversation. 10. Celebrate courage, not just results. ↳ Applaud the voice, not just the victory. Because when people feel safe, they don’t hold back. They contribute. They challenge. They soar. If you want your team to rise—safety comes first. Which one of these 10 will you lead with this week? ♻️ Share this with your network if it resonates. ☝️ And follow Stuart Andrews for more insights like this.

Communicating complex data insights to stakeholders who may not have a technical background is crucial for the success of any data science project. Here are some personal tips that I've learned over the years while working in consulting: 1. Know Your Audience: Understand who your audience is and what they care about. Tailor your presentation to address their specific concerns and interests. Use language and examples that are relevant and easily understandable to them. 2. Simplify the Message: Distill your findings into clear, concise messages. Avoid jargon and technical terms that may confuse your audience. Focus on the key insights and their implications rather than the intricate details of your analysis. 3. Use Visuals Wisely: Leverage charts, graphs, and infographics to convey your data visually. Visuals can help illustrate trends and patterns more effectively than numbers alone. Ensure your visuals are simple, clean, and directly support your key points. 4. Tell a Story: Frame your data within a narrative that guides your audience through the insights. Start with the problem, present your analysis, and conclude with actionable recommendations. Storytelling helps make the data more relatable and memorable. 5. Highlight the Impact: Explain the real-world impact of your findings. How do they affect the business or the problem at hand? Stakeholders are more likely to engage with your presentation if they understand the tangible benefits of your insights. 6. Practice Active Listening: Encourage questions and feedback from your audience. Listen actively and be prepared to explain or reframe your points as needed. This shows respect for their perspective and helps ensure they fully grasp your message. Share your tips or experiences in presenting data science projects in the comments below! Let’s learn from each other. 🌟 #DataScience #PresentationSkills #EffectiveCommunication #TechToNonTech #StakeholderEngagement #DataVisualization

People often ask me for quick ways to build trust on a team. I have a dozen solid go-to moves, but one stands out because it’s dead simple and nearly always works. You’ve probably heard of the “connection before content” idea—starting meetings with a personal check-in to warm up the room. But let’s be honest: questions like “What’s your favorite color?” or “What five things would you bring on a deserted island?” don’t build trust. They just waste time. If you want a real trust-builder, here’s the question I use: “𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄?” That’s it. One question. And here’s why it works: 𝟭. It creates vulnerability without forcing it. You can’t answer this question without being a little real. And when someone’s real with you, it’s hard not to trust them more. You see the human behind the role. 𝟮. It unlocks practical support. Once I hear your challenge, I can picture how to help. I feel drawn to back you up. That’s the foundation of real partnership at work. 𝟯. It increases mutual understanding. Sometimes we feel disconnected from teammates because we don’t know what they actually do all day. When someone shares a challenge, it opens a window into their work and the complexity they’re navigating. If you’re short on time, allergic to fluff, and want something that actually bonds your team—this is your move. Ten minutes, and you’ll feel the shift."

How to communicate " Scientific " and " Creative " at the same time? I’ve spent years sitting between two worlds: the rigorous, data-driven world of research and the engaging world of visual communication. Scientists are trained to be precise and cautious. Designers possess the skills to solve problems and facilitate communication. If we don’t find a middle ground, the message gets lost in the gap. Here are 3 ways we can bridge that gap to create impactful science communication: 1. Define the "Core truth" early I ask scientists: "If your audience only remembers one sentence from this 20-page paper, what is it?" That sentence becomes our North Star. It’s not about cutting the science; it’s about prioritising the impact. 2 Co-creating the "Story arc" We map out the "Problem, Process, and Solution" first. I involve researchers in the narrative structure and the creative process (Scriptwriting➡Storyboarding ➡ Animation) so that they feel ownership of the story. This ensures the final result feels like an extension of their lab work, not just a presentation. 3 The "Jargon audit" We go through the script and flag complex terms, words that make sense to the expert but stop the layperson in their tracks. We don't remove them; we illustrate them visually. If we say "Trophic Cascade," we show it happening in real-time through visuals. The best work happens when we stop seeing "accuracy" and "engagement" as competitors. They are teammates. To my fellow science communicators: What’s the biggest "translation" challenge you’ve faced when turning data into a story?

Everyone loves a good story. You should be using your data to tell one every chance you get. The importance of narrative in scientific communication cannot be understated. And that includes communication in traditionally technical environments! One thing that gets beaten into you in graduate school is that a scientific presentation is a technical affair. Communicating science is fact based, it's black and white, here's the data, this is the conclusion, do you have any questions? Actually, I do. Did you think about what story your data could tell before you put your slides together? I know this is a somewhat provocative question because a lot of scientists overlook the importance of telling a story when they present results. But if you want to keep your audience engaged and interested in what you have to say, you should think about your narrative! This is true for a presentation at 'The Mountain Lake Lodge Meeting on Post-Initiation Activities of RNA Polymerases,' the 'ACMG Annual Clinical Genetics Meeting,' or to a class of 16 year old AP Biology Students. The narrative doesn't need to be the same for all of those audiences, BUT IT SHOULD EXIST! There is nothing more frustrating to me than seeing someone give a presentation filled with killer data only to watch them blow it by putting the entire audience to sleep with an arcane technical overview of the scientific method. Please. Tell. A. Story. With. Your. Data. Here's how: 1. Plot - the series of events that drive the story forward to its resolution. What sets the scene, the hypothesis or initial observation? How can the data be arranged to create a beginning, middle, and end? 2. Theme - Good vs Evil, Human vs Virus, Day in the life of a microbe? Have fun with this (even just as a thought experiment) because it makes a big difference. 3. Character development - the team, the protein, gene, or model system 4. Conflict - What were the blockers and obstacles? Needed a new technique? Refuting a previous finding? 5. Climax - the height of the struggle. Use your data to build to a climax. How did one question lead to another and how were any problems overcome? 6. Resolution - What's the final overall conclusion and how was the conflict that was setup in the beginning resolved by what you found? By taking the time to work through what story you can tell, you can engage your entire audience and they'll actually remember what you had to say!