Smart Cities and Climate Data: Using AI for Urban Adaptation

• Information

  Smart Cities and Climate Data: Using AI for Urban Adaptation - Information

  Matched Team	Team 72
  Name	Dulce Yurini García Sánchez	Country	Mexico
  Scholarship	G-20	Email Address	dyurinigs@kdis.ac.kr
  Year	2021	Program	MDP
  Workplace Category	NGO/IGO	Workplace	UN-Habitat
  Department	Climate Change	Position	Analyst in Environment and Climate Change

• Brief intro of project

  Smart Cities and Climate Data: Using AI for Urban Adaptation - Brief intro of project

  Title	Smart Cities and Climate Data: Using AI for Urban Adaptation
  Sustainable Development Goals	11. Sustainable Cities and Communities
  Timely Global Issues	5. Exchange of Knowledge and Culture
  Sub-topic that describes project	Science and Technology
  Summary of your project	This project seeks to analyze the potential of artificial intelligence (AI) and remote sensing for urban development and resilient city planning, comparing LAC region experiences with successful models in South Korea and other countries in Southeast Asia. Success stories in urban climate change management will be investigated, identifying opportunities to improve its implementation through international cooperation and climate finance. The project will bring together experts in urban planning, technology, data analysis and climate finance to assess the impact of these tools on risk management, sustainable mobility and territorial planning. Through this collaboration, a report will be generated with recommendations for the scalability of these solutions in Latin America, promoting the development of resilient Smart Cities.

• Alumni or organization want to cooperate with

  Smart Cities and Climate Data: Using AI for Urban Adaptation - Alumni or organization want to cooperate with

  Specific alumni in mind	1. Experts in sustainable urban design and development. 2. Data Analyst or Specialists in AI, GIS, remote sensing, and climate data analytics. 3. Professionals with experience in urban mitigation and adaptation. 4. People involved in urban policy. climate finance and international cooperation. 5. Experts in investment models for urban adaptation projects.
  Specific nationality of the alumni in mind	Latin America and the Caribbean Countries, Southeast Asian countries or Korean
  Specific organization(s) / workplace(s) in mind	Secretariats of urban planning, environment, mobility and territorial planning. UN-Habitat, World Bank, IDB, Green Climate Fund, among others. Universities and urban laboratories specialising in smart and resilient cities.CCompanies that develop AI, geospatial, and data analytics solutions for urban planning.
  Specific work position(s) in mind

• Details of Cooperation Project

  Smart Cities and Climate Data: Using AI for Urban Adaptation - Details of Cooperation Project

  Objective of the Project	To analyze and compare the use of AI and remote sensing in resilient urban planning in Latin America, contrasting it with successful models in South Korea and other countries, to identify good practices, scaling strategies, and opportunities for international cooperation and climate finance, in order to develop recommendations on public policies and investment that strengthen the resilience of Latin American cities.
  Expected Benefits from the Project	Applied knowledge – Identification of effective tools and methodologies for resilient city planning. Strengthening collaborative networks – Connections with experts from various regions and key sectors. Impact on public policies – Recommendations to strengthen the integration of AI and remote sensing in urban planning. Access to financing opportunities – Identification of international funds to support the implementation of projects in Latin America.
  Anything you would like to inform the potential partner	Focus Areas: Smart Cities, Climate Change Adaptation, Risk Management, Sustainable Urbanism. Methodology: Review of case studies, interviews with experts, comparative analysis, development of recommendations.