The Heart and Soul of Smart Cities
Without doubt, human kind has made incredible technological strides in the last 100 years. Electricity, semiconductors, computing, the Internet, and near ubiquitous broadband communications are just a few of many examples. Most would agree that humans are much better off for our progress. However, as the proud father of an inquisitive twenty-month-old daughter, I cannot help but wonder whether her world will be better than mine is today. Some contend that our human prosperity will continue to grow as we head into the Second Machine Age, but I would temper this optimism by pointing out the price the planet is paying for this incredible progress. Climate change is real, plastic pollution is rampant, critical resources are depleting, there are growing social tensions across nations, and animal species are dying out daily amid the sixth, sadly man-made, mass extinction.
Fortunately, organizations around the globe—from ports and cities, to states, countries and entire regions—are starting to take action, often via aggressive climate action plans (CAP). Carbon is a key antagonist in the Earth’s environmental tale, which is why most CAPs call for massive reductions in carbon emissions and ultimately 100 percent use of clean renewable energy instead of carbon-creating sources.
Massive technological breakthroughs will be required to implement the requirements of these CAP plans, but we have already established the technical foundation for a smarter world – assembling the ground floor out of critical building blocks of infrastructure, sensors, edge processing, ubiquitous communications, data storage, analytics and control systems. We are also changing our perception about what it means to be smart. As we have seen in previous blogs in this series, brilliant smart solutions require ecosystems, partnerships, creative financing, and radical policymaking. Like natural systems, man-made smart systems—even apparently disparate systems—are connected and need holistic management. Silos are out; systems, plans, and think-tanks that share data are in.
The Second Machine Age is synonymous with Smart Planet Big Data and Big Math, which enables solutions to become more encompassing and optimal as they become more holistic in nature. For years, Moore’s Law has characterized the growth in computing capabilities, which has driven truly impressive developments in the last 30 years. Some predict that we are now at an inflection point, and tomorrow’s steps forward will be so staggering that machines will soon accomplish what until recently was thought of as science fiction.
The rise of the machines is due to cheap parallel computation creating new possibilities for neural networks, the primary architecture for Artificial Intelligence (AI) software. No longer centralized to discrete locations, AI applications run Cloud-wide on open standard servers that process hundreds of instances at once, all cleverly integrated into a unified stream of intelligence. AI applications are in the palms of our hands, literally, via a myriad of handheld devices, as well as network connected devices. With open access, AI is on track to become the next common utility, available to solve almost any problem.
Our smart progress also stems in large part to the development of algorithms that sift through masses of data and organize complex combinational relationships between hundreds of millions of neurons. Deep learning (also known as deep neural networks), is an emerging field of machine learning that could lead to new smart opportunities. Computer scientists feed these networks stacks of data, which the network “learns” and classifies on multiple layers at different levels of abstraction. In short, computers are teaching themselves. Deep Learning is advancing speech recognition (think smartphone functions and machine translation) as well as image recognition using only pixels to identify images (this is how Facebook automatically tags friends in your photos).
From this perspective, the Second Machine Age offers redemption as well as progress. Through deep learning, we can evolve way beyond self-driving cars and robotics, to a time when data and networks can accurately model the planet in real-time. Imagine this! On the grandest scale there is, we can forecast climate change, pollution, water shortage, and species risks to understand potential global impacts and mitigate detrimental outcomes. With this astounding insight, we can balance a prosperous humanity with planetary harmony.
While machine learning, data, and algorithms are the heart of smart city progress, humans are the soul. Politicians, bureaucrats, engineers, financiers, grey-haired technology veterans, and bright-eyed college graduates—the decisions we make at the beginning of this Second Machine Age, will define our smart landscape, shaping society and systems like water-carved canyons. Step up! Vigorously embrace radical, out-of-the-box thinking and do not fear missteps along the way. Apathy is the only real hazard as we strive for a smarter world. As Jennifer James said in the first blog of this series, “…this is the time for massive innovation and experimentation, favoring creativity over structure”, as we strive to solve some of the greatest challenges the planet has ever faced in the light of human prosperity.
For more insight into smart city trends, review Black & Veatch’s Strategic Directions Smart City/Smart Utility Report (2016).
Pay What You Can
This is a challenging time for non-profits and convening organizations like Meeting of the Minds. We're asking our audience to support MeetingoftheMinds.org with a pay-what-you-can donation.
Leave your comment below, or reply to others.
Please note that this comment section is for thoughtful, on-topic discussions. Admin approval is required for all comments. Your comment may be edited if it contains grammatical errors. Low effort, self-promotional, or impolite comments will be deleted.
Read more from MeetingoftheMinds.org
Spotlighting innovations in urban sustainability and connected technology
As cities continue to fight against COVID-19, citizens are changing their commuting preferences to adjust to a new way of life. Cities across the globe have experienced significant increases in the number of pedestrians, cyclists, and private cars on the roads as a result of public transport restrictions and social distancing requirements. This has created many new challenges, as cities previously dependent on public transport must now adapt to accommodate more vulnerable road users, such as pedestrians and cyclists.
It is critical to pause, reflect, and recognize that cities who are not equitable will always be in recovery mode. Inequity is a noted stress in the language of resilience shocks and stresses. It increases the probability and severity of shocks – like social uprisings and the civil unrest we have seen unfold. This holds true for a vast range of other natural and man-made shocks.
is a comprehensive model that leverages behavioral change science and financial rewards to fulfill the mission of reducing carbon emissions from the residential sector. It was developed pre-pandemic, but it has shown to be resilient in the face of the pandemic-changed social environment and even relieves some of the stressors that we’re dealing with as we try to find our way to a post-pandemic world.
By understanding human habits and what motivates people to change, the 3-2-1-GO! model integrates various triggers to help shift behavior. These triggers include: make it easy, make it fun, make it personal, make it social, make it competitive, and make it rewarding.
Everyone likes a financial reward, so we’re rewarding residents that make positive lifestyle decisions with tangible, financial rewards from our local business community.