Multimedia · source-verified

AI, Climate Change and Women Empowerment

Anirbaner Adday · 2025-07-25

Joyeeta Das is a prominent climate and deep-tech entrepreneur, currently serving as the CEO and Co-founder of Samudra Oceans, a London-based company focused on scaling seaweed farming using robotics and AI for carbon capture and ocean health. She is a serial entrepreneur with a strong background in technology and a focus on leveraging innovation for social good. Prior to Samudra Oceans, she founded GYANA, an organization democratizing AI with a no-code platform, and led SuperPitch to acquisition by Diversity X. Discuss how AI, climate change, and women empowerment can come together with this podcast episode.

Show citation

Anirbaner Adday. 2025-07-25. AI, Climate Change and Women Empowerment. https://www.youtube.com/watch?v=WT7E3G_n_Mw&ab_channel=AnirbanerAdday (AI & Environment Resource Hub; record video-130; collection snapshot 2026-09-15).

Classification and context

Included in the original Multimedia collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

pathway

topic

lifecycle

orientation

Definitions, inclusion guidance, and examples →

Available source metadata

Author or creator
Anirbaner Adday
Publisher
youtube.com
Publication date
2025-07-25
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:13:55.067Z
Snapshot import
2026-09-06
Legacy domain
Climate & Weather
Legacy subdomain
Unknown or not supplied

Provenance and review

Source sheet: Multimedia · Row 134 · Original ID: video-130.

View source spreadsheet ↗

Formats and evidentiary standards vary; evaluate each original source. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

Suggest a correction for this record →

Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Governance and society; Climate and greenhouse gases; Agriculture and food; Weather, hazards, and adaptation

Podcast · 2024-12-19

How AI is Tackling Climate Change

Himanshu Gupta and Eleonore Fournier-Tombs discuss AI’s role in climate adaptation, from predicting floods to growing resilient crops, while addressing the ethical dilemma of its high carbon footprint and environmental impact.

podfollow

Shared topics: Governance and society; Climate and greenhouse gases; Oceans and coasts; Weather, hazards, and adaptation

Scientific Paper · 2025-02-17

Machine Learning Applications in Predicting Climate Change Patterns

This paper reviews how machine learning is being used to forecast climate change impacts, such as temperature shifts, extreme weather, sea level rise, and greenhouse gas emissions, by analyzing complex climate and remote-sensing data. It highlights ML’s potential to improve predictability and support climate adaptation and policy decisions, while noting ongoing challenges in data quality, model explainability, and computational limits.

ComputeX

Shared topics: Governance and society; Climate and greenhouse gases; Agriculture and food; Weather, hazards, and adaptation

Podcast · 2025-09-06

Why Medium-Range Forecasts Could Save Millions: Lessons from Planette AI

Kalai Ramea, founder of Planette AI, describes her company’s focus on the “forecast gap,” the critical two week to two month window between short term weather and long term climate models. Drawing on her background in climate policy and research at Xerox PARC, she explains that Planette AI’s “scientific AI” learns directly from physics based earth system simulations rather than relying on historical weather data, making forecasts more reliable in a changing climate. This approach allows for faster, more actionable insights that can guide real world decisions for industries like agriculture, aviation, insurance, and event planning, including detecting the kind of heavy rain signals that could have prevented the last minute cancellation of events like Bonnaroo.

Apple Podcasts

Shared topics: Climate and greenhouse gases; Oceans and coasts; Weather, hazards, and adaptation

Scientific Paper · 2023-12-01

A Case Study Of An Extreme Flooding Episode In Charikar, Eastern Afghanistan

Severe flash floods in Charikar, Afghanistan, on August 26, 2020, were driven by extreme atmospheric instability, deep low-level convergence, and local topography, with climate change intensifying frontal activity and baroclinicity in the region.

Journal of Water and Climate Change