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Shuya Gong
Collaborative ecosystems, innovation fellow and lecturer at Harvard Engineering, looking for interesting questions.
Shuya Gong, a versatile professional with a background in mechanical engineering and venture design from Harvard University, is a forward-thinker focused on exploring how emerging technologies and societal trends drive systemic change.
Currently, Shuya works at IDEO CoLab, where she delves into the impact of emerging technologies like spatial computing and societal trends such as climate change on systems. She also dedicates her efforts to regenerative design practices at Maybe Ventures, LLC. Additionally, she is involved in developing the supply chain data exchange standard at Open Supply Hub.
Shuya's collaboration extends to prominent brands like Target, H&M, Nasdaq, and Fidelity, where she has worked on diverse projects ranging from the future of food, insurance, fashion, finance to fertility. Utilizing technologies like AR, VR, XR, IoT, DLTs, AI, ML, and GPT-3 generated NFTs, she constantly prototypes the future of various industries.
As an educator, Shuya serves as a Design Innovation Fellow and instructor at Harvard University School of Engineering and Applied Sciences, where she shares her expertise on topics like rapid prototyping, sustainable living, and the transformative potential of technology on our daily lives.
Shuya has held various key positions in renowned organizations such as IDEO, Harvard Innovation Labs, Open Supply Hub, and Maybe Ventures. Her rich professional background includes roles like Creative Director, Design Director, Senior Venture Designer, Technical Co-Founder, Expert-in-Residence, and more, reflecting her wide-ranging skills and experience.
Passionate about decoding complex technological concepts and envisioning both dystopian and utopian futures, Shuya is well-versed in bridging the gap between cutting-edge technology and real-world applications.
Shuya Gong's journey exemplifies a commitment to driving innovation, sustainability, and positive change through a multidisciplinary approach that combines design, technology, and societal impact.
Highlights
Supply chain tech nerd out moment -- there's a few different paradoxes that I've fallen in love with recently in this intersection of data in cyberspace and real things moving around in the physical world (yes. YES. supply chains are a cyberphysical system) and the three that have been absolutely mind boggling and incredibly rich questions I've been exploring are:
- How do you exchange closed data on open data systems?
- How do you tether spatial data to non-spatial data?
- How do you indicate that there should be data about something that just hasn't been collected yet?
I'll unpack each of these questions this week but here's the magic thing about the first one, which is essentially a question that breaks down to "if you're at a bar, you have to hand over your ID to prove that you're over the age of 21 (in America)—but does the bartender actually care how old you are, or do they just need to know that you're over the legal drinking age?"
And the fascinating thing about reporting on where something comes from in a supply chain is that it kind of comes down to the same question—broadcasting the exact location of where something is being produced might not be ideal, for example, if it's a production facility that's also someone's place of residence, or, if you're hesitant about sharing your supplier list as a corporation because you're worried about what people might find/hold the misconception that it's still a competitive advantage. BUT the ability to exchange closed data that you can retrieve insights about is possible by passing that data through an open data standard exchange, and instead of it being the bar and the question being about age, the questions are more like "is this being produced using resources that come from a deforested region?" or "did this get refined in a forced labor camp?". Knowing whether or not something was produced in a geography known to have multiple sustainability and ethical labor violations is the first step in being able to create an advocacy case around collective action—but you don't need to know where it is to know whether or not its within deforested land or forced labor region. This ends up having the dual result of privacy protections and aggregate level learnings from data sets that feel less intimidating to contribute towards. I'm not saying there's a definitive answer to sharing closed data vs completely open data, but the ability to extract the insight you need without revealing the information underneath is fascinating.
So now you know if a production location is perhaps not operating under the most optimal conditions. Holding the person who operates (and maybe lives!) in that location solely responsible for shifting into better operating practices would be a bit unbalanced—you also want to ask the question around "who's responsible for purchasing and price setting the goods coming from those locations? And that's question #2. More tomorrow.
It's one of my favorite times of the season: the IDEO CoLab Ventures Creative Residency is accepting applications again. tl;dr $15k for 3 months to explore what might be up next in the future of cyberspace.
You'll have funding and support (whether this looks like creative direction from me and team, a community to playtest what you're working on, production help, project management, or just general hyping you up and working through the messiest fog of an ambitious project) to product a drop.
Looking for artists, creative technologist, and founder-ish humans.
Apply (or nominate someone else to) here: https://lnkd.in/g7fkpvKQ
(It's a short and simple application, no portfolio needed, and I'd recommend trying to get your materials in before we start the review process the second week of April!)
