Code Green
Digital Futures Lab and Earth Venture Foundation
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Top 10 Code Green Episodes
Goodpods has curated a list of the 10 best Code Green episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Code Green for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Code Green episode by adding your comments to the episode page.
09/05/24 • 63 min
The climate crisis has pushed parts of Asia past a tipping point, making urgent solutions critical. While tech solutions like AI-driven smart agriculture and energy management are emerging, there's little understanding of the extent of their adoption and impact. How will AI fare in contexts underscored by issues of digital divide, data challenges and financial gaps?
In episode zero of the Code Green podcast, we speak to leading experts on the intersection of AI and climate action in Asia from a policy, technology and finance lens. Our guests highlight the many opportunities for AI in climate adaptation, environmental costs and pathways needed to ensure climate justice in the long run.
Speakers
Elina Noor, Senior Fellow, Asia Program, Carnegie Endowment for International Peace
Elina's work focuses on developments in Southeast Asia, particularly the impact and implications of tech in reshaping power dynamics, governance and nation-building.
She's been the director of political-security affairs and deputy director of the Washington DC office at the Asia Society Policy Institute; and associate professor at the Daniel K. Inouye Asia-Pacific Center for Security Studies in Honolulu.
Elina has spent most of her career at the Institute of Strategic and International Studies Malaysia, last as director, foreign policy and security studies. She was also with the Brookings Institution’s Project on US Relations with the Islamic World, and currently serves on the UN Sec-Gen’s Advisory Board on Disarmament Matters.
Alpan Raval, Chief Scientist AI/ML, Wadhwani AI
Alpan is a theoretical physicist, in the applied AI space for the last 24 years, applying ML to problems in computational biology and chemistry, queuing, computational advertising, online newsfeed optimisation and content moderation, public health, and agriculture.
Alpan has led applied AI teams at LinkedIn and Amazon, worked as a researcher at D E Shaw Research; and taught mathematics and computational biology at the Claremont Colleges in California. He is the co-author of Introduction to Biological Networks (CRC Press).
Varad Pande, Partner, Boston Consulting Group
Varad is a leader in BCG’s Climate & Sustainability and Social Impact practices with a focus on emerging markets. He is part of BCG’s Asia leadership team for social impact, climate finance, and adaptation and resilience. He has over 20 years of global experience as a senior ministerial advisor, an impact investor, and strategy consultant.
Varad’s work has spanned UN Sustainable Development Goal domains such as financial inclusion, agriculture and livelihoods; and he has helped shape the global discourse on the role of digital public infrastructure (DPI) in accelerating the achievement of the SDGs.
Varad was formerly a Partner at Omidyar Network India, and a partner and Asia Leader at Dalberg.
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Find the transcript here and visit codegreen.asia
Credits
Audio Editing: Sharon Joseph
Production Support: Shivranjana Rathore
Attributions
Intro, Outro - Retro Sounds, Alban_Gogh
Transitions - Meditative Background Music, white_records
Show notes
Check out resources referenced in the episode:
IEEE portfolio of AIS technology and impact standards and standards projects
International Standard on information Technology-Artificial Intelligence-Management System
Nikshay Platform for Tuberculosis
E-Sanjeevini for doctor-patient consultation
10/01/24 • 45 min
Geospatial AI is the use of AI-based tools for analysing any type of geographic information derived from sources such as satellite imagery, aerial drones, and geographic information systems (GIS). These technologies can be employed in resource management, disaster response, and conservation efforts, offering real-time monitoring and analysis of ecosystems and natural resources.
In this episode, we explore the potential and limitations of using Geospatial AI for climate action. The conversation ranges from trends in democratisation of map-making with easy-to-use GIS tools to the risks and ethical concerns that are associated with the use of GIS data. Our guests discuss the need for community involvement, factoring in local knowledge systems, and ensuring equitable access when it comes to Geospatial AI. They discuss the potential environmental costs and the importance of funding and transparency in technology implementation.
You can read the transcript for this episode here.
Speakers
Cathy Richards
Cathy is the Associate for Digital Resilience and Emerging Technology at The Engine Room. Recently, as a Green Web Fellow, she investigated the benefits, ethical questions, and security risks associated with using GIS for environmental justice. Cathy holds a Bachelor's degree in International Relations from Boston University and an MPA from the Monterey Institute of International Studies. She is from Costa Rica.
Izni Zahidi
Izni is a Civil Engineering academic at Monash University, Malaysia and has over 16 years of academic and industry experience. Her primary research is in using remote sensing, GIS, and modelling to develop sustainable and climate-resilient communities. Her research team assesses environmental risks such as flooding, water pollution, vegetation degradation, and urban heat island effect to improve natural resources management. Her research work has won a Gold Award, Silver Award, and Special Award as selected by the Toronto International Society of Innovation and Advanced Skills in the international competition, Sustainability in Civil Engineering Exhibition and Competition.
Show Notes
Geospatial AI or Geo AI (glossary term)
ArcGIS, Esri’s enterprise geospatial platform
QGIS, a free and open-source platform
Felt Maps, a cloud-native platform
Artificial intelligence for predicting urban heat island effect and optimising land use/land cover for mitigation: Prospects and recent advancements, research paper co-authored by Izni Zahidi
Modelling public social values of flood-prone land use using GIS application SolVES, research article co-authored by Izni Zahidi
Internet of Things or IoT (glossary term)
Tracking Amazon: How Neighbors Are Monitoring Pollution From New Delivery Hub
Wireless Sensors Could be Less Effective in Muddy Soil
How the “Internet of Cows” is Transforming Livestock Farming in Europe
Northern Kenya leads the way in the world's largest IoT conservation network
Welcome to Code Green: Trailer
Code Green
09/04/24 • 1 min
Welcome to Code Green! Brought to you by Digital Futures Lab, in partnership with Earth Venture Foundation, Code Green is a podcast and newsletter series that deep dives into the intersection of AI and climate-tech in Asia.
Cutting through the hype and silos of knowledge, Code Green will foster interdisciplinary knowledge exchange and surface voices from the ground.
Through this season and an accompanying monthly newsletter, we will showcase emerging climate AI research and provide a socio-technical perspective on the implications of adopting AI for climate action.
Sign up for updates here.
Credits
Audio Editing: Sharon Joseph and Shivranjana Rathore
Attributions
Intro and Outro - Retro Sounds, Alban_Gogh
Transitions - Meditative Background Music, white_records
FAQ
How many episodes does Code Green have?
Code Green currently has 3 episodes available.
What topics does Code Green cover?
The podcast is about Podcasts and Technology.
What is the most popular episode on Code Green?
The episode title '00: Navigating AI’s role in Asia’s Climate Action Strategy' is the most popular.
What is the average episode length on Code Green?
The average episode length on Code Green is 37 minutes.
How often are episodes of Code Green released?
Episodes of Code Green are typically released every 25 days, 23 hours.
When was the first episode of Code Green?
The first episode of Code Green was released on Sep 4, 2024.
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