As the curtain parted on moooi’s 2022 exhibit, the audience was treated to a multi-sensory performance unlike any other: four synchronized robot scent diffusers telling a story through dance. As the robots—called Piro—swayed and dipped to the beats of a custom-designed soundscape, it was easy to forget the performers were made by a team of industrial designers and engineers in San Francisco.

The work expressed a future vision for what it means to humanize technology. Rather than design technology to make our lives more efficient, what if instead we designed technology to make life more beautiful?

For twenty years, moooi has seduced the world with bold, imaginative design. The firm, named after the Dutch word for beautiful, made its name by designing furniture and home goods that appeal to an interest in pushing the edges of form as much as function. Moooi came to IDEO looking to create an exhibit for the largest furniture fair in the world that might provoke the audience to imagine a world where design’s primary function was to inspire joy.

“Defy Gravity”: one of several experiential “worlds” moooi created for the 2022 Salone del Mobile. Each room had its own scent, soundscape, color, and digital experience.

Our process started by going wide. We presented 20 potential conceptual designs to the team, one of which moooi founder Marcel Wanders lovingly referred to as the “farting pet,” a robot scent diffuser that could walk around the home.

A scented smoke ring lingers in the air after Piro’s final crescendo.

From there, a team of IDEO designers enlisted the support of Catie Cuan, a choreographer who specializes in human-robot interaction, and Dutch sound design firm KLOAQ, to refine the concept into a four-minute performance piece.

Piro learned to mimic balletic human gestures.

The final result was technically involved: four robots moved independently, controlled by custom electronics and software designed to mimic the movements and grace of ballerinas. But in the performance itself, the complex mechanics disappeared, allowing the audience to experience not just what technology can do, but how it can make us feel.

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What happens when a designer and a classically-trained choreographer collaborate? Attendees of Salone del Mobile.Milano, the largest furniture fair in the world, got to see for themselves.

To build a climate-resilient future, we need an all-hands-on-deck approach across industries and organizations, as well as the leadership and collaboration of frontline communities themselves. 

To that end, IDEO and CSAA Insurance Group worked together to unite nine partner organizations, including Aon and the Environmental Defense Fund, to launch an open call for solutions to help communities prevent, prepare for, and recover from climate-related disasters. The goal of the Challenge was to surface actionable and scalable ideas that experiment with new technologies, models, and partnerships, then provide innovators with the support and funding they need to get their ideas off the ground and into the hands of frontline communities.

IDEO set these entrepreneurs up for success throughout the submission process, holding one-on-one conversations with participants, sharing constructive feedback on potential solutions, and developing their ideas and skill sets. The team also hosted workshop and panel sessions to grow community bonds and provide expertise on critical topics, including assessing climate risk and storytelling for impact. Hundreds of ideas came in from around the world, ranging from harnessing the power of AI, to building resilient infrastructures, to democratizing access to climate data, and more.

Once all of the ideas were in, a cohort of judges with a wide diversity of work and lived experience screened for concepts that were relevant, impactful, novel, community-informed, and equitable. At the end of the Challenge, the team chose 13 winning concepts with high potential for impact and partnerships, including Reef Rocket, which seeks to fabricate natural biocement reefs that reduce coastal flooding and erosion, and BurnBot, which is working to prevent wildfires by conducting controlled burns at scale.  

For these winning entrepreneurs, the end of the Challenge is just the beginning. Now, they are equipped with critical early funding, as well as a cohort of climate entrepreneurs, along with mentorship from IDEO, CSAA, and the other organizations. It’s a big step forward as they introduce new forms of equitable and transparent data, promote the voices of BIPOC communities, and bring to market new technologies that will protect and support frontline communities through this ongoing crisis. 

Read the Challenge Impact Report to learn more.

In the US alone, climate-related disasters cause $120 billion in damages annually. That figure is five times greater than 50 years ago, and projections are $2 trillion by the end of the century.

Nearly 90% of counties in the US declared a natural disaster over the last decade.

418

submissions

13

winners

$1M

in prizes

Every year, the NSF provides around 30 teams with up to $750,000 and a year’s worth of coaching, training, and collaboration to develop solutions for research areas like sustainable ocean use or combating fake news. Over the course of nine months, the teams learn how to uncover insights about human needs and design durable solutions for end users. But many of the scientists and experts in the program felt stretched by the idea of putting the needs of end users in the mix with their scientific testing—something few of them have been trained to do in their previous work.

To make that process feel more achievable, the teams built out prototypes and received guidance on refining and pitching their ideas along the way. IDEO joined the project as an innovation partner, facilitating hands-on workshops and creating “Science TV” episodes that could help the program reach a broader audience, deepening its impact now and in the future.

To help grantees get vulnerable, and evolve their ways of working, IDEO sent grantees to improv training  so that they could learn to build off each other. The team also took them to magic shows and on ghost tours in downtown San Francisco to learn the value of compelling storytelling in their work. The fun was part of the plan—gelling as a team and building relationships meant participants could make mistakes in front of one another. Being wrong doesn’t come naturally to academics, but it’s a key part of the design process, and a crucial part of solving complex problems .

Each year, a select group of teams move onto the next phase of the “coop-etition,” receiving up to $5 million in additional funding. And all of the participants leave with valuable new skills they can use to break out of their own silos and create human-centered, ground-breaking solutions for the rest of their careers.

When the NSF launched the Convergence Accelerator and made the radical move of bringing together teams from different disciplines, these academics, scientists, and industry partners didn’t have a shared language to move their ideas forward, and needed a structured approach to coming up with new solutions.

164

trained research teams

$200M

in federal support granted to AI-driven innovation, quantum technology, food security, sustainable materials, opportunities for people with disabilities, and more

IDEO and The Earthshot Prize built a nine-month Fellowship program and a five-day, in-person retreat to give Finalists the best shot at reaching the Prize’s ultimate goal: to scale the solutions that will repair our planet this decade.

To build out the new Fellowship, IDEO took a deep dive with the previous year’s Finalists to uncover where they needed critical support. This research revealed that the Finalists needed more ways to leverage the Earthshot platform, connect with potential partners to help scale their ideas, and build community with each other. The IDEO team then used those insights to create a set of recommendations The Earthshot Prize team could implement to create a more supportive and structured experience. Ideas they took forward included assigning a designated “Leap Advisor” who could provide guidance and assistance for each Finalist, as well as an advisor from the Prize’s Global Alliance Network who could partner on specific growth initiatives, like scaling product design, or policy change. 

Next up: the design of the retreat itself. Together, IDEO and the Earthshot team had three goals for the cohort’s week together in Windsor: focus on new forms of leadership and movement building, spur action through storytelling, and foster community.

The team developed the curriculum with leaders from Google X and Speed & Scale, alongside startups like UPSIDE Foods. They designed moments to build community, like paired walks and a chocolate-making workshop where Finalists could get to know each other away from the noise of meetings. 

Photographers captured the event to create assets for Finalists to use when pitching their ideas, and Finalists honed their storytelling skills. But what most remember is the magical moments of coming together as a cohort of next generation climate leaders who will help each other make an impact on the problems facing our planet, long after The Earthshot Prize has concluded.

The problems facing our planet are enormous, spanning industries, borders, currencies, and regulatory environments. Meaningful solutions will require leaders who can work across those lines.

30

climate solutions accelerated in first two years

At IDEO, we like to breathe new life into the mundane with design. In an effort to shape a new paradigm of meeting-dom, here are some of our best resources on making your next conference-room gathering stand out—in a good way.

1. When you want to kick things off with a bang

Stretch! Sketch! Dance! Build in a few minutes for a new opening exercise and you’ll have a team that’s fully present and ready to get down to business.

READ: 6 Ways to Kick Off Creative Meetings

2. When you have a mixed bag of introverts and extroverts

An IDEOer once called the San Francisco space an “extroverted office full of introverts.” If you have a team of folks all across that spectrum, these exercises will strike a balance between team-together-time and solitude.

READ: 5 Brainstorming Exercises for Introverts

3. When you want people to really get to know each other

Whether bringing together a brand new team or sitting down with old colleagues, a jam-packed room can make for an overwhelming and impersonal experience. Ditch the canned icebreakers and try one of these instead—any of these exercises will help reveal your group’s commonalities.

READ: 5 Exercises for Breaking Down Barriers

4. When morale needs a boost

Do any of your meetings have a jingle? Didn’t think so. Reset your whole meeting philosophy with some out-of-the-box tips.

READ: How to Design a Meeting That Doesn’t Suck

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Meetings. Maybe you’re in one right now. (Are you paying attention?) Maybe you have one in ten minutes. (Are you prepared?) We know them well—and we know they’re not usually the highlight of your day. In fact, they can be quite the opposite.

A GAN (Generative Adversarial Network) is a type of AI that pits two neural networks against each other, each one training the other to improve its ability. Unlike other types of AI, GANs don’t just recognize objects—they can create them. GANs borrow a feature from biology and pit two competing neural networks against each other. One network, the “generator,” produces synthetic images, while another network, the “discriminator,” tries to guess whether the images are synthetic or real. The discriminator learns from both synthetic and real images, getting better over time. As it improves, it challenges the generator to produce ever more realistic synthetic images.

During a bite-sized sabbatical from my day job at IDEO CoLab, I dove head first into building and exploring the visual potential of GANs. I learned a lot about the differences between how humans and computers see the world, and how an AI’s output is shaped by the data we provide it. As designers, it’s important for us to understand the limitations of emerging technologies likes GANs—or else we risk creating products that harm, rather than help, humans. Here’s what I created, and what I learned. (Want to learn how to set up your own GAN? Read more here.)

1. Choosing a dataset

GANs can generate convincing fake pictures of almost anything—faces, cats, and even anime characters. How do they do it? It all depends on the dataset. GANs need to be fed a large set of images (think tens of thousands or more) so they can learn patterns. For example, GANs that produce faces learn that they tend to be roughly round, have two eyes, one nose, one mouth, and possibly hair on top. They learn pixel-level patterns, too—the textures that make up skin, eyes, and hair.

The trick with GANs is finding sets of images large enough and diverse enough for a network to pick out patterns. There are plenty out there—like CelebA (hundreds of thousands of celebrity faces) or LSUN (images of scenes like rooms and buildings)—but these are all meant for this kind of research, and training with them tends to illustrate how successful GANs can be.I wanted to do the opposite. What if we try to stretch GANs to their limit, so that we can get a better understanding of how they work? In this case, we’re using images from The Simpsons.

2. Training the GAN

Once I had my dataset of images from the show, it was time to train the GAN. For those familiar with machine learning, read my step-by-step process here. For everyone else, here’s the gist of it: I installed an open-sourced machine learning software called TensorFlow on my computer, which I souped up with a hefty graphics card originally bought for virtual reality and gaming. I then used a series of tools to reformat and resize images from my Simpsons dataset.

I trained the network overnight (sometimes over multiple days) and saved examples of images created by the generator network. The video below documents the learning process of the generator. With time, the images began look more and more like the actual Simpsons.

Scrub through the video to see the network’s progress. At 1:10 (about 13 hours of training), the first outlines of Simpsons eyes appear. At 2:00 (about 23 hours), the color scheme becomes noticeably brighter and figures start to emerge. At 3:00 (about 34 hours), there is less variation as shapes start to solidify and the networks reach some stabilization on what is classified as “real.” At 5:00 (about 57 hours) and beyond, the shapes start to vaguely resemble Simpsons characters, though the result is still too psychedelic and abstract for us to truly classify the images as real Simpsons frames.

3. Making sense of the output

The GAN manages to generate very Simpsons-esque images, but they’re definitely not going to fool the human eye. What’s going on? GANs (and any neural network or machine learning method, for that matter) only learn patterns that are in the training data. As humans, we have a deep and complex understanding of what people and objects should look like, including Simpsons characters and scenes in the show. The GAN, however, doesn’t bring any preexisting knowledge. It has to learn everything from the raw pixel values of the images it sees, and more complex patterns take more examples to learn.

In this case, the GAN easily learns the color palette of The Simpsons and its simple, flat illustration style, and starts to learn the features of each character. With enough training data, it may learn more complex patterns, like complete images of characters, or which characters show up in which settings (like the Simpson family at home, or Mr. Burns at the power plant).

What’s it all mean?

The varied and strange outputs of these networks are a succinct example of both the promise and risks of building products, services, or systems with machine learning inside. They’re seemingly magical, learning from patterns in data without being told what to look for, but they’re also limited by that data. Imagine you came into this world yesterday and had to make sense of it all just from still frames of The Simpsons—how would that inform your thinking?

Biases in training data, intended or not, will be reflected in the output of the network, which, if embedded into a product or service, can codify the bias at an unprecedented scale. As designers, we are uniquely positioned to help with this problem. As Kate Crawford, cofounder of the AI Now Institute has said, the problem is neither a specifically social nor technical problem: It’s a socio-technical problem. Designers have a responsibility to understand the unique role data plays in machine learning, so that we can create networks that equitably serve human needs.

Learn more about training GANs on IDEO Labs. Special thanks to CoLab’s Adam Lukasik for his help wrangling GANs for this post.

Pop quiz: What the heck is a GAN? You might not have heard the term, but you’ve likely seen one in action. From generating images of fake celebrities, to creating training data for self-driving cars, and even recreating suggestive (and weird) nude portraits, GANs are everywhere these days. But what exactly is this bleeding-edge technology, and what can we do with it?

In one sentence, who are you?

I am Vince Kadlubek, CEO and cofounder of Meow Wolf in Santa Fe, New Mexico.

What do you do? How did you learn it?

I am a momentum artist. I have dedicated my life to the study and sculpting of momentum, which primarily entails finding authentic, collaborative understandings and influences with the brilliant people around me.

What does a typical work session look like?

I'm usually dealing with these questions: What is the brightest vision? How do we articulate that vision? What steps are necessary for the most effective articulations? Work sessions are meetings or checking email. Those are the two kinds of work sessions I have these days. Sometimes I get to have creative work sessions, which are really just big meetings with beer and Indian food.

When it came to building something like the House of Eternal Return, we imagined, then found scrap armature materials, started producing structure and skin, utilized a bunch of air drying sculpting medium, and started turning large amounts of the exhibit into plaster forms. Lots of stuff was sculpted around the armature produced by the architects and general contractors, using more standard finish practices like painting.

3 favorite possessions?

Oh gosh. Together, “favorite” and “possession” are kinda an oxymoron for me. All I can think about are non-physical things like my memory, my spirit, and my compassion.

How do you get over creative block?

Collaborate with someone who is not stuck in a creative block.

What was the last item on your to-do list?

The last item on my to-do list was to donate money to Beto O'Rourke. But as for work, my last to-do item was to send our SVP of art direction a copy of a PowerPoint that she can use in an upcoming presentation.

How do you see the world in 2078?

Um... well, warm. And I also see a massive network of interconnected spatial computing, photo-realistic artificial intelligences, the liveable internet, monumental creator tools that result in instant manifestation—essentially, we will have transitioned into the 5th dimension.

What’s your number one bucket list item?

Chilling poolside in the Oia Village in Santorini, Greece with a bottle of Krug Clos d’Ambonnay 1998 and three of my closest friends.

Who are you creative crushin’ on lately?

Young Thug, constantly. It is actually a problem. I have a hard time getting excited for any other musician. And I have recently fallen for food and cocktails, so Grant Achatz from Alinea in Chicago is on my mind a lot. LeBron James is creating a reality that is mind-blowing and way beyond basketball; the world is wrapped in his storytelling. And finally, I am a huge coaster guy and what RMC is doing in the coaster world is unbelievable—Steel Vengeance at Cedar Point has completely flipped the script.

Vince Kadlubek is a visionary. He leans into tension, ruffles feathers, and has spent more than a decade constructing new worlds with the art collective Meow Wolf. In 2016, they transformed an abandoned 20,000-square-foot bowling alley into the House of Eternal Return—an immersive experience full of creativity and curiosities—drawing more than a million people to Santa Fe, New Mexico for a dose of childlike wonder. Now their sights are set on two new activations in Las Vegas and Denver, as they aim to create the modern-day Disneyland. As an immersive experience designer, I’ve been personally inspired by Meow Wolf and the big-thinking and resourcefulness of Vince, the collective's CEO. I was stoked to chat with him about his inspiration and aspirations for the future.

The answer is yes, of course. And when companies don’t fix themselves, we feel it in our products and services. The company has designed something—often a digital thing—that fails to give us what we need, and we walk away cursing the air, wondering if the leaders of the company have ever used the service themselves.

But making things that work for humans isn’t easy. We change every five minutes. How can organizations be confident that what works today will work tomorrow? It’s a lot easier to just slap on a Band-Aid and hope it won’t rip off with the first sudden move.

There are vastly different perspectives out there about how to make change happen and stick, and we’re curious about them all, so this fall, we invited five friends who’ve led major transformation projects at their companies to IDEO’s London studio and for an open conversation.

Here are the top 5 takeaways from our Make Change event:

1. Be a curious leader

“The problem I see in a lot of organizations is they have a lot of great tools but the top leaders don’t use them. If you’re not prepared to do what you’re asking everyone else to do, then why should you expect them to? If you want to understand what’s broken in your company, try entering your own expenses.”

—Mike Bracken (Public Digital), the guy who led digital transformation for the UK government (GDS), a model that’s been replicated in Canada, Argentina, Peru, Australia and the U.S. (and he has a letter from Obama to prove it).

If Mike had one piece of advice for making change happen, it would be this: “Go and sit next to a user when they’re using your service or product. I make sure to do six hours of that every month.”

2. Question accepted behaviors

“If you’re in a self-contained moment as an organization, I’d highly recommend that you build an innovation team that sits on the side and role models something really weird and strange, questioning the accepted behaviors. Having a constant dialogue and exchange with other perspectives is what makes companies competitive. But not a team that sits in the ivory tower. Our innovation team has reinvented itself three times in three years according to what the business needs."

—Anne Pascual, VP of Design at Zalando, Europe’s leading online fashion platform, which delivers to 24 million customers and grew its revenue to around €4.5 billion last year.

Anne's advice? “Think big. We tend to be obsessed with the details, but there’s much bigger opportunities out there.”

3. Don't build an innovation lab

“Innovation is far too important to be outsourced. I’m not a believer in gluing an innovation lab onto the side of your organization. If your culture is not innovative, that’s not going to sustain. You’ve got to fix your culture first if you want to be in this for the long term. It’s got to be everyone’s job when they wake up in the morning. And you then have to create the air cover as a leader for that to happen, which is all about creating a no-blame culture. You can’t innovate as fast as we do without sometimes screwing up. We do it regularly, and when we do, we try to learn from it, but we know it just goes with the territory of being a disruptor.”

—Paul Clarke, Chief Technology Officer at Ocado. After a deal with Kruger in May, Ocado’s market cap blew past Marks & Spencer's—a sign of the tectonic shift happening in retail.

Paul's advice would be this: “Tell the truth about what's broken.”

4. Be a DJ

“A good leader is like a DJ—they play the music that makes people move, but they should accept that people will move in different ways and what’s important is that you move to the same rhythm and move forward.”

—Beatriz Lara Bartolomé, former Chief Innovation Officer of BBVA, and EMEA Advisor Director of Globant, a digitally-native technology services company.

To make change happen, Beatriz would advise you to “ask your teams what they think should be improved.”

5. Launch beacon projects

“Launching a product to market in a short period of time is the best organizational change program—you’re going to learn the most about how the company behaves. We call these projects that have a change agenda 'beacons.' Select them for their ability to help you build a new muscle. If you’re not building a new muscle with every project, you’re wasting an opportunity to learn.”

—Luis Cilimingras, IDEO partner and managing director of our London studio. He leads digital transformation and change projects, including starting an innovation studio called La Victoria Lab that creates new products, services, and experiences for Peru’s emerging middle class.

Luis's best advice: “Keep seeking out inspiration. It’s your job to be inspired.”

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Take a behind-the-scenes look at the event.

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People are always looking for ways to improve themselves. But what about companies? Companies are just collections of people, so it makes sense that they’d build up all kinds of bad habits over time. Shouldn’t our organizations be on a self-improvement regimen, continuously trying to fix what’s broken?

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I help organizations cut through complexity by shaping how they show up, through brand strategy, identity, and storytelling.

Working at the intersection of brand and business, I bring an editorial eye and a bias toward making—turning ideas into tangible experiences that people can understand, trust, and believe in.

My work spans government, healthcare, financial services, media, and consumer goods, from launching Gen Z-focused ventures to building innovation labs and reimagining legacy brands. I relish moments of ambiguity and enjoy translating across teams, perspectives, and priorities to move ideas forward.

I started my career in editorial and digital design, shaping cross-platform experiences and identity systems in publishing and agency environments. That foundation still shapes how I work today: I’m detail-oriented, collaborative, and overreliant on the Oxford comma. I hold a BFA in Visual Communication from the School of the Art Institute of Chicago.

For 25 years, I've asked the same question: Who does this design exclude—and what are we going to do about it?

My work spans human-centered strategy, inclusive design, and qualitative research, with clients ranging from Microsoft, Google, and Verizon to the National Science Foundation, and San Francisco Unified School District.

Before IDEO, I taught elementary school in East Palo Alto and spent a decade doing design work with social service organizations—where I learned firsthand what it costs people when systems are built without them in mind.

I am currently writing User Error, a nonfiction book about digital access and the design decisions behind it. I live in Oakland, California.

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My expertise spans brand, communication, and product design across tech, education, the arts, and social impact.

I believe great work demands both high-level vision and obsessive attention to detail, and only happens through collaboration.

I bring an inclusive, hands-on approach and a deep understanding of business, which enables me to consistently deliver excellence while always asking why.

Before joining IDEO, I worked at the brand firms Pentagram and VSA Partners. I began my career as a designer, leading teams at the School of the Art Institute of Chicago and the Milwaukee Art Museum. I hold an MFA in graphic design from Maryland Institute College of Art and a BFA in communication design from the Milwaukee Institute of Art & Design, and have taught at some of the best design schools in the US.

I am responsible for IDEO’s long-term success in China and working with clients to use design as a tool to enable growth. Specifically, I have helped Chinese companies design holistic brand solutions through the development of their products, communication, services, and innovation teams, and I have helped multinationals expand their presence and influence in China.

I advise global leaders on developing China-led innovation and capabilities.

In over 15 years in IDEO Shanghai, I have worked on projects that use design to elevate the quality of the experience of healthcare products and services, streamline processes that increase productivity, create spaces and programs that promote and enable inclusive communities, and build next generation mobility solutions that are planet-positive.

Before joining IDEO, I worked at Philips Electronics and the Electrolux Group in Italy, the Netherlands, and Singapore on a number of breakthrough commercial products. I am a member of the Young President Organization in Shanghai.

Most AI products today are built for work—a space with clear problems and established systems. One founder noticed a gap: personal life is messier, harder to systematize, and mostly left behind by the AI boom. So she built Cue, a personal AI that lives inside iMessage and group chats, to go where the other tools haven't.

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In this episode, Becca Carroll, IDEO's Chief Strategy Officer, talks with Sida Li, co-founder and CEO of Shared Context Lab, about staying anchored to a human need while the technology around her keeps changing shape, why she treats her business model with the same rigor she'd bring to a product, and what it feels like to build a company at this particular, disorienting moment in AI.

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The conversation also gets into how Sida makes design decisions: the language Cue uses to describe itself, the tradeoffs behind building inside iMessage instead of a new app, and a real story about a business idea that didn’t pan out.

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This is the second in a two-part series profiling founders from IDEO's Startups-in-Residence program. The first conversation is with Johannes Seemann, founder of Sooner, on designing GenAI for the emotional side of money.

Most personal financial tools are built to run the numbers and optimize towards a budget. While that works for some, most people experience money as a lived relationship that does not neatly fit into a spreadsheet. Johannes Seemann and Becca Carroll discuss why money is emotional before it is mathematical, and what a human-centered approach to building a generative AI financial product looks like in practice.

Mina Seetharaman talks with Scott Shigeoka, author of Seek and Head of Curiosity Cultivation at the Eames Institute, about what distinguishes genuinely curious leadership from performative curiosity, how power dynamics shape curiosity, and why practicing curiosity can restore energy rather than drain it.

Mina Seetharaman talks with David Epstein, author of Inside the Box and Range, about why total freedom often produces average work, how leaders can design useful limits on purpose, and what organizations such as General Magic and Pixar reveal about the relationship between boundaries and creativity.