IBM is responding to the ongoing global trend of urbanization, where the urban population is expected to rise from 56% in 2021 to 68% by 2050. This shift brings challenges but also opportunities for social innovation. In early 2024, IBM launched a request for proposals to support projects aimed at making cities safer and more sustainable, in line with UN Sustainable Development Goal 11. Five organizations were chosen to join the IBM Sustainability Accelerator, working with AI solutions to enhance community resilience. These collaborations focus on addressing issues like extreme heat, food security, and urban governance to create data-driven strategies that improve life in urban areas. IBM is committed to investing in these initiatives, with a goal of empowering communities worldwide.
Published 15 hours ago
Submitted by IBM
AI Solutions Powering Urban Resilience and Sustainability
The world is rapidly urbanizing, and by 2050, around 68 percent of people will live in cities, according to UN Habitat. Urbanization brings challenges but also opportunities for social innovation and economic growth. Leading the charge is IBM, which recently launched a request for proposals (RFP) to enhance urban resilience and sustainability, in line with the United Nations Sustainable Development Goals.
With more than 100 proposals submitted, IBM has chosen five organizations for the IBM Sustainability Accelerator program. This initiative aims to engage with communities and develop AI-driven solutions that address urban challenges. Each selected organization demonstrates an innovative approach to building resilient cities.
Key Collaborations in Urban Sustainability
-
C40 Cities: IBM will partner with C40 Cities to create an AI solution that helps cities analyze risks related to extreme heat and the urban heat island effect. This project aims to develop strategies that protect public health and mitigate socioeconomic disparities.
-
U.N. World Food Programme: By enhancing the World Food Programme’s GeoTar tool with advanced data capabilities, IBM aims to improve decision-making related to food security and address vulnerabilities caused by environmental disasters.
-
Mass General Brigham: In partnership with Mass General Brigham, IBM is developing an AI tool to predict extreme heat events and alert healthcare providers to at-risk patients, ensuring timely interventions during heat waves.
-
Janaagraha Centre for Citizenship and Democracy: Together with Janaagraha, IBM will build a city data and analytics platform to support informed decision-making among Indian governments, addressing urban quality of life issues.
- Kota Kita: Collaborating with Kota Kita, IBM aims to create AI models that address climate-related vulnerabilities in Samarinda, Indonesia, focusing on developing initiatives that enhance community resilience.
Empowering Communities with Technology
The IBM Sustainability Accelerator employs IBM’s cutting-edge technology, including AI and cloud capabilities, to support these organizations as they strive to create sustainable urban environments. IBM commits $45 million to assist vulnerable populations globally through this program, benefitting thousands with projects that range from sustainable agriculture to clean energy.
By harnessing AI, IBM is dedicated to empowering communities to tackle significant urban challenges effectively.
Interested parties can apply to the new RFP, focused on AI for Sustainable Consumption and Production, until April 30, 2025. To learn more, visit the IBM Sustainability Accelerator website.
This initiative showcases IBM’s commitment to innovation in corporate citizenship, aiming to transform communities through technology and strategic support.
For further information on IBM’s broader corporate responsibility efforts, explore their corporate responsibility initiatives online.
What is AI-Powered Social Innovation?
AI-Powered Social Innovation means using technology, especially artificial intelligence, to solve social problems. This approach helps cities become better places to live by improving services and supporting community needs.
How can AI help build resilient cities?
AI can analyze data quickly to help city planners make smart decisions. It can aid in predicting problems like floods or traffic jams, enabling cities to respond effectively and keep people safe.
What are some examples of AI in urban planning?
Cities can use AI for traffic management systems that adapt in real-time, waste management robots that optimize routes, and predictive models to address housing needs. These tools help make cities more efficient and livable.
Is AI socially inclusive?
Yes, but we must be careful. It’s important to include diverse community voices when developing AI tools. This ensures the technology benefits everyone, especially underserved groups.
How can citizens get involved in AI initiatives?
Citizens can participate by joining community meetings, providing feedback on AI projects, and collaborating with local organizations. Engagement ensures that AI solutions reflect community needs and values.
