Crowdsourced Innovation Ideas

𝐀𝐟𝐭𝐞𝐫 𝟏𝟎+ 𝐡𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧𝐬, 𝐰𝐞 𝐫𝐞𝐚𝐥𝐢𝐳𝐞𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐰𝐞𝐢𝐫𝐝… 𝐨𝐮𝐫 𝐦𝐨𝐬𝐭 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐭𝐨𝐨𝐥 𝐰𝐚𝐬𝐧’𝐭 𝐜𝐨𝐝𝐞. 𝐈𝐭 𝐰𝐚𝐬 𝐚 𝐟𝐨𝐥𝐝𝐞𝐫!! Not flashy. Not code. Just 3 shared docs that made our team 𝟏𝟎𝐱 𝐟𝐚𝐬𝐭𝐞𝐫 + 𝐦𝐨𝐫𝐞 𝐟𝐨𝐜𝐮𝐬𝐞𝐝. Here’s exactly what they are (and how to make them work for you): 👇 📄 𝟏. “𝐈𝐝𝐞𝐚 𝐃𝐮𝐦𝐩 + 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐌𝐚𝐭𝐫𝐢𝐱” 𝐃𝐨𝐜 Before building anything, we brain-dump 7–10 ideas + rate them on: -Relevance to theme -Personal connection to the problem -Uniqueness -Feasibility in 24–36 hours ✅ Helps avoid “cool idea but impossible to finish” traps. ✅ Keeps the whole team aligned from Hour 0. 📄 𝟐. “𝐓𝐚𝐬𝐤 𝐁𝐨𝐚𝐫𝐝 (𝐁𝐮𝐭 𝐏𝐥𝐚𝐢𝐧 𝐓𝐞𝐱𝐭 😅)” No fancy Trello — just a doc with: - Backend tasks - Frontend tasks - Logic/ML tasks - Demo + pitch prep Each person picks their area early, so we don’t overlap or wait on each other. We color-code: Doing, Done, Blocked. Simple. Clean. Stress-free (well, almost 😅). 📄 𝟑. “𝐏𝐢𝐭𝐜𝐡 𝐏𝐫𝐞𝐩” 𝐒𝐜𝐫𝐢𝐩𝐭 (𝐌𝐚𝐝𝐞 𝐁𝐞𝐟𝐨𝐫𝐞 𝐃𝐞𝐦𝐨!) While building, one teammate starts documenting: -The “Why” behind the project -1 line summary anyone can understand -Bullet points for the final pitch By the time we demo, we’re not rushing to write slides. We already know what story we’re telling. These 3 docs saved us from: 🚫 Confusion 🚫 Last-minute scrambling 🚫 Messy project direction And took us to: ✅ Better teamwork ✅ Clearer builds ✅ 𝐀𝐧𝐝 𝐞𝐚𝐬𝐢𝐞𝐫 𝐰𝐢𝐧𝐬 🏆 💡 Next time you join a hackathon — create these 3 docs before the first line of code. You’ll be shocked how much smoother everything runs. If this helped, tag your team or drop your own hackathon rituals below 👇 Let’s all stop reinventing the chaos 😄 #HackathonTips #TeamProductivity #HackathonDocs #BuildBetter #PitchReady #CodeWithClarity #InnovationInTeams #TeamCodeBlue

🔗 How do we know when universities are really plugged into business? We all agree that linkages between universities and businesses are crucial for innovation. But actually measuring those linkages is incredibly hard. So much collaboration lives off the radar: joint labs, contract research, spin-offs, informal advisory roles, international partnerships and talent flows. Traditional statistics only capture a fraction of this. That’s why with Times Higher Education we made a new effort in the Global Innovation Index (GII) 2025 and the November GII Innovation Insight blog https://lnkd.in/e6XRr6bn: A composite indicator on “University industry and international engagement” on: 🧩 Industry engagement – how strongly universities work with firms 🌍 International outlook – staff, students and publications across borders. Global leaders Among high-income economies: 🇭🇰 Hong Kong, China – with the City University of Hong Kong scoring highly 🇳🇱 Netherlands – featuring universities such as Maastricht University School of Business and Economics (our alma matter!) with strong cross-border collaboration 🇸🇬 Singapore – National University of Singapore and Nanyang Technological University Singapore stand out as deeply embedded in global research & business networks 🇨🇭 Switzerland – led by institutions such as ETH Zürich and EPFL 🇺🇸 United States – with universities such as Massachusetts Institute of Technology combining frontier research with commercialization pathways 📈 Fast risers – emerging economy league table Upper middle-income economies 🇨🇳 China – with Peking University (Beijing) as a key anchor 🇿🇦 South Africa – strong university–industry and international linkages 🇹🇷 Türkiye – growing collaboration between academia and business Lower middle-income economies 🇮🇳 India – Indian Institute of Science (IISc) shine 🇯🇴 Jordan and 🇱🇧 Lebanon – stand out on international outlook 🇪🇬 Egypt – increasingly connected to global academic networks Low-income economies entering the radar 🇺🇬 Uganda 🇷🇼 Rwanda 🇲🇿 Mozambique 🇪🇹 Ethiopia Regional champions – universities as innovation anchors 🇪🇺 Europe – Netherlands / Maastricht University 🇺🇸 Northern America – United States / MIT 🌍 Northern Africa & Western Asia – Qatar University 🌍 Sub-Saharan Africa – South Africa / University of the Witwatersrand 🌏 Central & Southern Asia – Iran / Amirkabir University of Technology - Tehran Polytechnic University of Technology 🌎 Latin America – Brazil / USP - Universidade de São Paulo 3 takeaways 🧠 Universities are the “connective tissue” of innovation systems 📏 Measurement is imperfect – but essential. Indicators like this help identify strengths, blind spots and opportunities 🚀 Progress is possible at every income level Phil Baty Michael Mbogoro. PhD RTTP Lien VERBAUWHEDE KOGLIN Marco M. Alemán Lorena Rivera León

Diverse teams are powerful, but only if they’re designed to be. Just putting different people together isn’t enough. What I’ve learned over 11+ years is that true  🧠 Collective Intelligence only emerges when diversity is intentionally activated. 🖌 My Blueprint to unlock it: 🔹 Cognitive diversity It’s about bringing different thinking styles. Teams that embrace divergent ways of solving problems uncover creative solutions that others miss. 🔹 Demographic Diversity The presence of different intersectional identities and lived experiences creates a richer understanding of potential blind spots and unmet needs. 🔹 Experiential Diversity Diverse career paths and life stories equip teams with practical insights that can cut through “tried-and-true” methods that often fail in complex, changing environments. 🔹 Psychological Safety This is the game-changer. Without it, diversity backfires. High-performing teams create a “safe container” where everyone—from the quiet thinkers to the bold disruptors—can voice their ideas without fear. 🔹 Inclusive Decision-Making Diversity is wasted if decisions are still made by the loudest voice in the room. Structured inclusion ensures that varied perspectives aren’t just heard but drive the direction forward. The result? 1️⃣ Faster, smarter decisions: diverse insights reduce blind spots and increase confidence in strategic choices, helping leaders respond swiftly to market changes. 2️⃣ Increased innovation and agility: aligned teams leverage diverse perspectives to solve complex problems creatively and adapt to new challenges with resilience. 3️⃣ Stronger engagement and retention: when teams feel psychologically safe and included, they’re more committed and motivated. This translates to lower turnover and higher morale. The path to unlocking your team’s full potential starts with aligning on the right elements—diversity, psychological safety, and inclusion in decisions. 🤔 P.S. Where is your team on the path to collective intelligence—and what’s your next step?

Some of Google’s most impactful innovations have started with a Googler simply offering to help. Even when it goes above and beyond their job description. In 2025 alone, Google employees volunteered 14,000+ hours to restore local ecosystems and donated over $9M of their own money to environmental causes. I'm proud to highlight some recent examples of how Googlers around the world are driving profound environmental action. 🚒 Googlers are working with the Watch Duty team to build an AI solution that transcribes fire radio audio in real-time. The goal? Dropping detection times from five minutes to under 30 seconds. goo.gle/48iVupo 🏙️ Googlers are collaborating with CDP to build an open-source platform that helps city leaders turn complex data into local climate action plans. goo.gle/4vFWdLc 🦋 Googlers are partnering with iNaturalist to document local flora and fauna using Gemini-powered tools, which helps generate high-quality data that will aid research and restoration efforts. Whether it’s a line of code or a newly planted tree, I’m inspired by how Googlers across the globe are taking action. It’s within all our hands to protect our planet.

Transforming How We Think About Collaboration: The 'Collaborative Innovation' Approach 🪄 🎯 𝗕𝗲𝗴𝗶𝗻 𝘄𝗶𝘁𝗵 𝗔𝘂𝗱𝗮𝗰𝗶𝗼𝘂𝘀 𝗚𝗼𝗮𝗹𝘀 Instead of seeking lowest-common-denominator agreement, start with a powerful vision that attracts committed changemakers. 👥 𝗜𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝘆𝘀𝘁𝗲𝗺 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 Rather than "open door" meetings, carefully select participants to ensure the whole system is in the room — from grassroots to grasstops. 🔄 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗖𝗼-𝗰𝗿𝗲𝗮𝘁𝗶𝗼𝗻 Move away from "develop-then-present" to working together in real-time, leveraging collective intelligence. ⚡️ 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗧𝗲𝗻𝘀𝗶𝗼𝗻 Stop pushing for false harmony and start using differences as catalysts for innovation. ✨ 𝗘𝗮𝗿𝗹𝘆 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗶𝗻𝗴 & 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Build the strategy through action rather than endless planning sessions. What's powerful about this approach is how it transforms resistance and diversity into sources of innovation. It's not about getting everyone to agree — it's about weaving different perspectives into transformative interventions. Insights from Russ Gaskin, CoCreative and Ashoka's Leading Multi-stakeholder Collaborations course💡 🤔 How do you navigate the tension between inclusion and focused action in your collaborative work? #SystemicChange #Collaboration #Innovation #Leadership #CollectiveImpact

🤔Weekend Reading 👉 A few years ago, I began exploring how AI and collective intelligence could converge to address complex challenges—from public health to democratic innovation. One suggestion of my paper at the time included augmented collective intelligence: the idea that technology could help groups think better together, not just individuals work faster alone. (see: https://lnkd.in/ezMRya9) 📢 A new paper by Thomas Kehler, Scott Page, Alex 'Sandy' Pentland, Martin Reeves, and John Seely Brown brings this vision into the generative AI era—introducing the concept of Generative Collective Intelligence (GCI). 👉 Instead of framing AI as a substitute for human cognition, GCI treats AI as a "cultural and social technology that allows humans to take advantage of the information other humans have accumulated." This represents a shift from personal productivity tools to collective reasoning infrastructures—where humans and AI collaborate to align on goals, explore alternative solutions, and overcome communication barriers. 🧭 As the authors put it: “The greatest potential of AI lies not in its capacity to act alone but in collaborations that combine human creativity and wisdom with AI's computational and organizational capabilities.” 👉 The paper offers mathematical foundations (comparative judgment, minimum regret), rich use cases (climate adaptation, healthcare, civic participation), and a vision where AI becomes a partner in structured deliberation, not just a source of generative outputs. (which Claudia Chwalisz is also examining). 🤔 Of particular interest to me involved their focus on “Amplifying Serendipitous Discovery” - which reminded me of my recent conversations with the great Dirk Helbing who is also looking into how to enable serendipitous encounters to solve societal problems. 🧭 Quote:  “Generative collective intelligence can amplify serendipitous discovery—unexpected connections and insights that emerge when diverse perspectives interact in structured ways...Traditional group decision-making often falls victim to communication complexity, as the increased number of participants creates exponentially more communication channels. Humans lack the capacity to determine which of the thousand plus combinations of three people that could be chosen to form a group of twenty offer the most promise for a breakthrough.” 🤔 Another area of interest explored in the paper involves “The Architecture of Epiphany” - which relates much with what we are working on re: the structuring the quest of questions or architecture of Inquiry (see: https://lnkd.in/etDgZSyN)  🧭 Quote: "What distinguishes GCI's approach to breakthrough thinking is its structured facilitation of what cognitive scientists call "conceptual blending"—the process of integrating elements from different mental spaces to create new conceptual structures." 📄 Full paper: https://lnkd.in/e_gMtpST

Too many Indian MSMEs still operate locally when their potential is truly global. For years MSMEs have been seen as local enablers that is strong in manufacturing, logistics or niche healthcare services but rarely viewed as global collaborators. That mindset is changing fast. With digital platforms, cross-border partnerships, and new-age startups leading the way, MSMEs today can directly plug into global ecosystems. They can develop products, technologies and solutions that reach markets across Asia, the Middle East, and beyond. How can MSMEs go global? 1. Collaborate with New Age Startups Startups bring agility, MSMEs bring operational depth. When both come together then innovation becomes scalable and scale becomes smart. We’ve seen this firsthand from a startup analytics firms partnering with midsized pharma manufacturers to digital health startups co-creating solutions with traditional diagnostic chains. 2. Build Global Ready Systems MSMEs that invest in digital infrastructure, AI led process automation and international regulatory readiness can integrate into global supply and innovation chains with ease. 3. Position as Specialized Partners Global enterprises are not just looking for low cost execution, they also want domain partners. MSMEs with niche expertise can play a critical role in clinical data services, nutraceutical innovation, wellness analytics and more. I’ve worked with MSMEs across industries to work on operations, build cross border partnerships and reposition their brands from local operators to global collaborators. We’ve helped founders: Partner with fast growing startups to co create global solutions Adopt scalable technologies for expansion Build credibility that attracts international clients and investors The world no longer rewards size because it rewards speed, innovation and collaboration. If you’re leading an MSME today, your biggest growth opportunity may not be in your city but in the global partnerships waiting to be built. The future belongs to those who can bridge experience with innovation. And that’s exactly where India’s MSMEs can lead the world. #msme #startups #India #tech

Ten years ago, millions of people walked through cities while holding their phones to capture digital pets. Players believed it was simply a casual experience. In fact, it was so much more than that. While players thought they were merely playing a casual game, they were quietly mapping out the physical space around them in detail. In recent months, Niantic has entered a partnership with Coco Robotics to utilize approximately 30 billion crowdsourced image inputs generated by users of Pokémon Go. Those crowdsourced images are now being utilized to create a highly accurate Visual Positioning System (VPS) for delivery robots. As opposed to traditional GPS systems which fail often in high density urban areas due to the blocking of satellite signals by tall buildings, the VPS uses camera readings of the exact angle of a corner storefront in order to eliminate the effects of satellite signal disruption. Many of us collect data today for one reason, however that data will be combined with other disparate data inputs in the future to form a completely unrelated physical utility. In 2016, a teenager used a smartphone camera to photograph a public square in order to gain a virtual advantage in a battle. Today, that same specific visual geometry is guiding a robot delivering a pizza. How many bits of casual digital debris that we produce today will eventually become part of the invisible infrastructure of tomorrow? https://lnkd.in/gWUa3hUe

A young woman on my team was sinking 40 hours a month into a single task. She won $500 for building the AI tool that killed it. Every few months, our production calendar gives us a fifth week in the month—a dead week where nothing ships. So I decided to turn those weeks into AI hackathons. The rules are simple. • Build an AI tool, automation, or skill that makes your job easier • Winner gets $500, runners-up get $200 • You have one day to research it and three days to build it. Projects judged on: • How much time it saves • If other people on the team can use it • Whether it actually works without breaking every 5 minutes People went bonkers—building b-roll scrapers, content finders, even attempting an entire podcast development suite. It was like someone tried to shove an entire semester of AI school into a long weekend. Not everyone finished their projects, but I told them I didn't care. The point was that everybody pushed themselves into tools they'd never touched before, and by the end of the hackathon, every person on the team understood what AI could actually do for their job. But the winner—with the project that blew me away—was Zenya Giatzoglou. Zenya was spending 1-2 full days per episode doing nothing but fact-checking. The Research team on Solved, regularly pulls from hundreds of different sources—and she was manually tracking down every claim, every study, every number. So Zenya built a universal fact-check tool. You feed it a transcript, a script, an article—anything—and it finds every claim that needs verification, checks it against credible sources, tells you what's wrong, what's exaggerated, what needs rephrasing, and generates the citations for you. Her first test came back with a 100% pass rate. That tool is now being rolled out to every team in the company. Podcast, YouTube, social, newsletter—all of it. Everyone thinks about the flashy, fancy applications of AI. But our winner was the "boring" tool that eliminated the most painful, time-consuming work. What's the most useful thing you've built with AI so far?

Monday Insight: Collaboration Across Borders - Global AI Initiatives in Radiology "AI is already playing a role in diagnosis and clinical care, drug development, disease surveillance, outbreak response, and health systems management … The future of healthcare is digital, and we must do what we can to promote universal access to these innovations and prevent them from becoming another driver for inequity." Tedros Adhanom Ghebreyesus World Health Organization Director-General One of the most inspiring aspects of working in radiology and healthcare innovation is seeing how global collaboration is shaping the future of #AI. Diseases don’t respect borders and neither should innovation. Here’s why international collaboration is so powerful: Diverse Data for Better AI AI thrives on diverse, high-quality datasets. Collaborating across countries ensures algorithms are trained on different populations, leading to more accurate and equitable outcomes. Shared Expertise Radiologists, engineers, and researchers around the world bring unique perspectives. Working together accelerates discovery and ensures solutions are not only innovative but also clinically relevant. Scaling Access Partnerships between academic centers, industry, and healthcare providers make it possible to bring cutting-edge AI into everyday clinical practice, from urban hospitals to rural clinics. At GE HealthCare, we actively engage in global partnerships to develop AI that is safe, scalable, and impactful, making sure the benefits of innovation reach patients everywhere. What global collaborations have you seen in radiology or healthcare AI that inspired you? How do you see these shaping the next decade? #MondayInsight #Radiology #AI #GlobalCollaboration #HealthcareInnovation #gehealthcare #who