8-month pilot to test 12 computer-vision sensors across four boroughs of NYC to employ machine vision and improve street-level data collection and improve planning decisions
We are creating low-cost, easy-to-use deep-sea systems that gather the most critical data to inform environmental decision-making and deployment strategies.
The Nordic Smart City Network is a collaboration initiative joining five Nordic countries, and currently 20 Nordic cities with a common goal: to explore the Nordic way to create livable and sustainable cities.
Our expansive 1.5 km2 industrial area, frequented by over 10,000 daily users, functions as a vibrant physical testing space of smart city environments – now also offering a real-world platform with a digital twin for urban innovation at a 1:1 scale.
At Copenhagen Solutions Lab, we support the development of the city through testing and implementation of intelligent and data-driven solutions, that support the needs of the city and its citizens.
The C² Challenge provides an open-ended innovation process for government procurement that removes the need to meet specific requirements and provides an open door to business and academic innovators to propose new ways of solving a problem.
A web solution designed for governments that provides the digital twin of the city, and delivers a real-time view of every street, plus insightful analytics to support decision-making and increase the efficiency of the city operations.
The certificate in Smart Cities is an interdisciplinary program designed for working or aspiring professionals and upper-level students interested in expanding their knowledge-base in the fields of emerging urban technologies, data science, sustainable design, and public-private partnerships.
Deploying Open Data to Enable Kenyan Households & Communities Conserve Fresh Water Resources, including civic literacy campaigns and IoT monitoring of water supply and quality
Real-time flood sensors were developed by the FloodSense project at NYU and the CUNY Advanced Science Research Center (ASRC), with a goal of providing information on the presence, frequency, and depth of hyperlocal street-level flood events to a range of stakeholders, including policymakers, government agencies, citizens, emergency response teams, community advocacy groups, and researchers.
We use emerging technologies - like blockchain, IoT devices and sensors, and artificial intelligence - to address some of the world’s most pressing issues, as defined by the UN Sustainable Development Goals.
mid-sized cities across America to develop ideas for an integrated,first-of-its-kind smart transportation system that would use data,applications, and technology to help people and goods move more quickly,cheaply, and efficiently. The Challenge generated an overwhelming response:78 applicant cities shared the challenges they face and ideas for how totackle them.
Low cost, mobile air quality and other environmental sensors installed on City vehicles.
The City Scanner is a low-cost alternative to traditional methods of collecting environmental data. The sensor attaches to the roof of vehicles and collects detailed data at a more geographic level than traditional fixed-position sensors. The City Scanner sensors capture data related to environmental conditions including air quality (particulate matter 1, 2.5, and 10), temperature, humidity, and road conditions in New York City. The solar-powered sensors are removable and do not permanently alter vehicles.
The Mayor’s Office of the Chief Technology Officer has developed the NYC Internet of Things Strategy in order to support a healthy cross-sector IoT ecosystem in New York City – one that is productive, responsible, and fair.
Empowering a faster, smarter emergency response
Contextual emergency data: e.g. precise location, medical profile, and real-time sensor data
One centralized platform: Securely sends data to public safety agencies worldwide
Developed together with public safety: Seamlessly fits into existing public safety workflows
An intelligent urban measurement project that’s changing our understanding of cities and urban life.
The Array of Things (AoT) is a collaborative effort among scientists, universities, federal and local government, industry partners, and communities to collect real-time data on urban environment, infrastructure, and activity for research and public use. AoT uses an open intelligent sensing and edge computing platform called Waggle, developed at Argonne National Laboratory. AoT was funded primarily by the U.S. National Science Foundation.
Distributing air sensors to volunteer cyclists to map pollution data throughout Lisbon
Sensores distribuídos. Cinco dezenas de ciclistas vão andar a medir a poluição atmosférica – Lisboa Para Pessoas
Numina measures all kinds of curb-level activity. Anonymously and in aggregate, Numina delivers the volume counts, paths, and traffic behaviors of travelers and objects in streets.
Using integrated sensors and artificial intelligence, Livio AI enhances your listening experiences, proactively manages your health and provides access to information to simplify your life.