Climate change stands out as one of the paramount challenges of our era, impacting ecosystems, economies, and societies worldwide. The public's concerns are palpable, ranging from the immediate threats of heatwaves, wildfires, to the enduring economic strains triggered by such events. This broader climate crisis has propelled an urgent need for innovative solutions across diverse sectors, driving technological and financial advancements to tackle this complex issue head-on. At this critical juncture, it's imperative to delve into the pivotal roles of transformative technologies like artificial intelligence (AI) and cutting-edge advancements in carbon capture. While these innovations hold promising opportunities for climate mitigation, they also present formidable challenges and risks.

Throughout the podcast, we explore key questions such as the opportunities AI offers for climate mitigation, the risks and challenges associated with using AI in this context, and the future of carbon capture technologies like direct air capture (DAC). Trishna sheds light on Climeworks' mission and her role within the organization, as well as discussing the differences between various carbon capture technologies and the most promising advancements in this field. We also touch on the unpredictability of the climate industry and the changes anticipated in the coming years, highlighting the key milestones required to fully implement technologies like DAC and transition to a market-driven approach for climate solutions.

Speaker： Trishna Nagrani

Trishna is currently leading the Asian expansion at Climeworks. Prior to Climeworks, she co-authored a roadmap on AI applications for climate mitigation sponsored by the Japanese Government (METI and NEDO) which was presented at the Innovation for Cool Earth Forum in Tokyo and the final version in the Japanese pavilion at COP28. She has also researched on US, China, and EU's green bond markets and carbon markets as a Schwarzman Scholar at Tsinghua University. Previously, she invested in digital infrastructure companies at the World Bank Group (IFC) based in Washington, D.C. covering emerging markets globally; co-founded an AI-enabled fintech platform in London; and was a financial advisor at Lazard mainly looking at distressed companies.

Co-host：

Karen Wang

CEO @ Climind; Research assistant at Imperial College, Centre for Climate Finance & Investment; Forbes 30 under 30, UN SDG Young Leader, Schwarzman Scholar.

Cindy Zhu

Currently a sophomore student at CUHK majoring in Statistics.

Main topics

1:41 - Speaker’s self-introduction.

2:48 - Reasons that Trishna chooses to work in Climeworks.

6:33 - What opportunities does AI offer for climate mitigation?

9:40 - What are the risks and challenges associated with using AI for climate mitigation?

15:35 - What is Climeworks' purpose, and what role does Trishna play in the organization?

24:20 - What are the differences between CCS, DAC, and CCUS?

26:23 - What are the most promising technologies used for carbon capture?

29:50 - What is the biggest obstacle that DAC must overcome as a climate mitigation strategy?

32:18 - As it is hard to predict what future would be like in climate industry, what are the things that are expected to change?

35:17 - Considering the unpredictability of the climate industry, what changes are anticipated?

37:39 - What are the key milestones required to fully implement direct air capture technology in the industry, transitioning it to a market-driven approach rather than relying solely on capital markets or policies?

Extended reading

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“Talks at Climind”是Climind与一流大学、研究机构和行业合作伙伴共同推出的气候议题领导力播客。气候是一个数据集成问题，我们的目标旨在提出有关气候数据解决方案的洞察，特别是针对能源转型、适应和减缓、碳市场和基于自然的解决方案等领域。

本期嘉宾 Speaker

Christophe Christiaen

Christophe is Head of Innovation and Impact and head of the Space Finance Initiative at the University of Oxford's Sustainable Finance Group and the UK Centre for Green Finance and Investment.

Christophe 是牛津大学可持续金融组织和英国绿色金融与投资中心的创新与影响力主管兼空间金融倡议主管。

本期主持人 Co-host

Karen Wang

CEO @ Climind；Research assistant at Imperial College, Centre for Climate Finance & Investment；Forbes 30 under 30, UN SDG Young Leader, Schwarzman Scholar。

CEO@Climind；帝国理工学院气候金融与投资中心研究助理；福布斯30 under 30，联合国可持续发展目标青年领袖，苏世民学者。

Harris Rahman

Schwarzman Scholar with a background in economics and many years of experience in investment banking. He currently works as an economist at a startup estimating the valuation impact of climate transition risks on global markets.

苏世民学者，拥有经济学背景和多年投资银行工作经验。他目前是一家初创公司的经济学家，负责估算气候转型风险对全球市场的估值影响。

主要话题 Main topics

04:07-Life before joining Oxford and the Oxford Sustainable Finance Group

加入牛津大学和牛津可持续金融团队之前的生活

08:34-Geospatial data, sustainable finance and green finance

地理空间数据、可持续金融、绿色金融

12:13-Space remote sensing data

空间遥感数据

19:18-Legality of green financing products

绿色融资产品的合法性

27:05-How to understand the entire supply chain in the platform

如何理解平台中的整个供应链

31:39-Start by locating your operations and your supply chains

从定位你的业务和供应链开始

39:50-How's life at Oxford not doing a PhD but working in a research institute

除了读博士，在牛津大学研究机构的工作与生活过得怎么样

延伸阅读 Extended reading

www.smithschool.ox.ac.uk

订阅平台 Subscription platform

Spotify Podcasts: Talks at Climind | Podcast on Spotify

Apple Podcasts: Talks at Climind on Apple Podcasts

Youtube Channel: Talks at Climind - YouTube

小宇宙: Talks at Climind | 小宇宙 - 听播客，上小宇宙 (xiaoyuzhoufm.com)

联系我们 Contact us

想知道Climind如何通过数据撬动气候变化分析？欢迎联系我们

Climind 网站: www.climind.co

领英:Climind: 简介 | LinkedIn

邮箱：[email protected]

PLEASE NOTE THAT THIS EPISODE IS IN CHINESE

“Talks at Climind”是Climind与一流大学、研究机构和行业合作伙伴共同推出的气候议题领导力播客。气候是一个数据集成问题，我们的目标旨在提出有关气候数据解决方案的洞察，特别是针对能源转型、适应和减缓、碳市场和基于自然的解决方案等领域。

本期嘉宾

程思博，帝国理工数据科学研究所 DSI 博士后研究员

主要话题

（00：00）-嘉宾介绍

（03:19）-如何预测森林大火的发展

（05:48）-气候变化中的森林大火预测：预防、计算方法和混合模型

（14:29）-使用数据进行代理模型的学习：减少使用线下数据的时间，提高学习效果

（16:59）-计算复杂度与数据质量的重要性：为什么高精度计算需要更多数据

（26:23）-训练过程不稳定，如何克服模型缺陷

（34:52）-等价性在算法中的表现

延伸阅读

订阅平台

联系我们

PLEASE NOTE THAT THIS EPISODE IS IN CHINESE

“Talks at Climind”是Climind与一流大学、研究机构和行业合作伙伴共同推出的气候议题领导力播客。气候是一个数据集成问题，我们的目标旨在提出有关气候数据解决方案的洞察，特别是针对能源转型、适应和减缓、碳市场和基于自然的解决方案等领域。

本期嘉宾:

孟靖，伦敦大学学院（UCL）巴特莱特可持续建筑学院终身教授，剑桥大学剑桥环境、能源和自然资源治理中心(C-EENRG)成员

本期主播:

Karen，Climind创始人

灿辉，剑桥大学社会学博士

大厨，主业厨师副业剑桥大学读博

主要话题:

（00:00）-嘉宾介绍

（02:38）-走上气候研究道路

（10:17） -现阶段技术发展路径

（17:50）-模拟模型的数据源

（30:44）-做数据库的初衷

（34:54）-数据与减排

（39:54）-气候建模的技术与挑战

（52:09）-（彩蛋）蛋白质研究的重要性

（54:51）-从科学哲学的角度理解大气污染

延伸阅读:

Google Scholar：scholar.google.com

UCL 个人主页：www.ucl.ac.uk

订阅平台:

"Talks at Climind" page: www.loom.com

Spotify Podcasts: open.spotify.com

Apple Podcasts: podcasts.apple.com

Youtube Channel: www.youtube.com

小宇宙: talksatclimind.podcast.xyz

联系我们:

想知道Climind如何通过数据撬动气候变化分析？欢迎联系我们

Climind 网站: www.climind.co

领英: Climind

邮箱：[email protected]

"Talks at Climind" is a thoughts-leadership podcast launched by Climind, and co-organized with leading universities, research institutions, and industry partners. The climate is a data integration issue. Our goal is to present exciting big ideas about climate data solutions, particularly in areas such as energy transition, adaptation and mitigation, carbon markets, and nature-based solutions.

Speakers: Prof. Saifur Rahman and Dr. Lai

Here are the timestamps for this episode. Click the timestamp to jump to the topics you're interested in!

(02:39) – About IEEE

(04:20) – Stories of Prof. Rahman’s Career in Climate Research

(07:06) – Challenges in Developing Countries for Climate Mitigation

(11:00) – Renewable Energy Solutions for Tackling Climate Change

(18:00) – The Importance of Uniting Scientists, Policymakers, Investors, and the Public to Combat Climate Change

(23:30) – Building a Road Map for the Future of Developing Countries: Examples from Smart Buildings

(31:50) – Chat GPT and its Potential for Accelerating the Understanding for Climate Solutions

(39:10) – Advice for young people on starting their new career

Read more about our speakers:

Listen to Talks at Climind on:

Interested in what Climind is doing to bridge the data gaps in Climate Change? Contact us at:

"Talks at Climind" is a thoughts-leadership podcast launched by Climind, and co-organized with leading universities, research institutions, and industry partners. The climate is a data integration issue. Our goal is to present exciting big ideas about climate data solutions, particularly in areas such as energy transition, adaptation and mitigation, carbon markets, and nature-based solutions.

Speakers - Prof. Priya L. Donti and Ronnie.

Prof. Priya L. Donti is the Co-founder and Executive Director of Climate Change AI and an incoming Assistant Professor at MIT. As the Co-founder and Executive Director of Climate Change AI, her research focuses on machine learning for forecasting, optimization, and control in high-renewable power grids. Specifically, her work explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning workflows. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University and is a recipient of the MIT Technology Review’s 2021 “35 Innovators Under 35” award, the ACM SIGEnergy Doctoral Dissertation Award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at ICML (honorable mention), ACM e-Energy (runner-up), PECI, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.

Ronnie is a Quantitative Researcher in London. He earned his Ph.D. in energy and environmental engineering from Imperial College London. Ronnie used to host an energy-related podcast.

Outline: Here are the timestamps for the episode. On some podcast players, you should be able to click the timestamp to jump to that time. This episode has been divided into two sessions. Please also join in the second session to hear more.

Session 1

(00:00) – Introduction

(02:55) – About Climate Change AI

(05:34) – How does AI apply to the energy system

(08:16) – What machine learning can do

(15:10) – What kind of additional challenges for the energy transition

(17:32) – Data challenges for climate change and AI

Session 2

(00:43) – Chat GPT, climate change application, and AI

(03:57) – Big language model and data search

(06:33) – Human opinion and AI

(08:44) – References and AIGC

(09:55) – Breakthrough in the machinery world

(14:54) – Communication in various communities

(18:57) – Climate value in finance via data

(26:34) – Future plan

Read more about Climate Change AI: https://www.climatechange.ai/

Listen on:

- "Talks at Climind" page: https://www.loom.com/share/b09bddce363e41ff86e8a9f48202965c

- Spotify Podcasts: https://open.spotify.com/show/4QjUMSeiqu9lCXcEGX13Ak

- Apple Podcasts:  https://podcasts.apple.com/us/podcast/talks-at-climind/id1667874615?i=1000596651075

- Youtube Channel: https://www.youtube.com/@talksatclimind

-小宇宙: https://www.xiaoyuzhoufm.com/podcast/63c022c5a375960010792c48

Contact us

Interested in what Climind is doing to bridge data gaps in Climate Change?

Climind Website:  https://www.climind.co/

Follow us on LinkedIn: https://uk.linkedin.com/company/climindtech

[email protected]

"Talks at Climind" is a thoughts-leadership podcast launched by Climind, and co-organized with leading universities, research institutions, and industry partners. The climate is a data integration issue. Our goal is to present exciting big ideas about climate data solutions, particularly in areas such as energy transition, adaptation and mitigation, carbon markets, and nature-based solutions. 

Speakers - Prof. Priya L. Donti and Ronnie.

Prof. Priya L. Donti is the Co-founder and Executive Director of Climate Change AI and an incoming Assistant Professor at MIT. As the Co-founder and Executive Director of Climate Change AI, her research focuses on machine learning for forecasting, optimization, and control in high-renewable power grids. Specifically, her work explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning workflows. Priya received her Ph.D. in Computer Science and Public Policy from Carnegie Mellon University and is a recipient of the MIT Technology Review’s 2021 “35 Innovators Under 35” award, the ACM SIGEnergy Doctoral Dissertation Award, the Siebel Scholarship, the U.S. Department of Energy Computational Science Graduate Fellowship, and best paper awards at ICML (honorable mention), ACM e-Energy (runner-up), PECI, the Duke Energy Data Analytics Symposium, and the NeurIPS workshop on AI for Social Good.

Ronnie is a Quantitative Researcher in London. He earned his Ph.D. in energy and environmental engineering from Imperial College London. Ronnie used to host an energy-related podcast.

Outline: Here are the timestamps for the episode. On some podcast players, you should be able to click the timestamp to jump to that time. This episode has been divided into two sessions. Please also join in the second session to hear more.

Session 1

(00:00) – Introduction  

(02:55) – About Climate Change AI  

(05:34) – How does AI apply to the energy system

(08:16) – What machine learning can do 

(15:10) – What kind of additional challenges for the energy transition

(17:32) – Data challenges for climate change and AI

Session 2

(00:43) – Chat GPT, climate change application, and AI

(03:57) – Big language model and data search

(06:33) – Human opinion and AI

(08:44) – References and AIGC

(09:55) – Breakthrough in the machinery world

(14:54) – Communication in various communities

(18:57) – Climate value in finance via data

(26:34) – Future plan

Read more about Climate Change AI: https://www.climatechange.ai/

Listen on: 

- "Talks at Climind" page: https://www.loom.com/share/b09bddce363e41ff86e8a9f48202965c 

- Spotify Podcasts: https://open.spotify.com/show/4QjUMSeiqu9lCXcEGX13Ak  

- Apple Podcasts:  https://podcasts.apple.com/us/podcast/talks-at-climind/id1667874615?i=1000596651075  

- Youtube Channel: https://www.youtube.com/@talksatclimind  

-小宇宙: https://www.xiaoyuzhoufm.com/podcast/63c022c5a375960010792c48

Contact us 

Interested in what Climind is doing to bridge data gaps in Climate Change? 

Climind Website:  https://www.climind.co/ 

Follow us on LinkedIn: https://uk.linkedin.com/company/climindtech 

[email protected]

"Talks at Climind" is a thoughts-leadership podcast launched by Climind, and co-organized with leading universities, research institutions, and industry partners. Climate is a data integration issue. Our goal is to present exciting big ideas about climate data solutions, particularly in areas such as energy transition, adaptation and mitigation, carbon markets, and nature-based solutions.

Speaker - Dr.Yixing Xu, Research Director @ Breakthrough Energy We'll hear from Dr.Yixing Xu, the Research Director of Breakthrough Energy, in our inaugural episode. As the Chief Scientist and system architect of the energy system modeling project, Yixing leads a team of research scientists, data scientists, and software engineers to explore potential pathways to net zero and build open-source software. His goal is to support industry experts, policymakers, investors, and academic researchers in the clean energy transition. Yixing finished his Ph.D. and postdoc at Texas A&M University, his bachelor’s degree at Tsinghua University, all focusing on clean energy.

Outline:

Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.

(00:00) – Introduction 

(04:51) – About Breakthrough Energy 

(07:57) – Why do we need to track climate change 

(09:15) – The five grand challenges 

(09:22) – How we make things 

(09:57) – How we plug in 

(10:32) – How we grow things 

(10:52) – How we get around 

(11:15) – How we live 

(12:10) – U.S. 2050 Scenario 

(13:47) – How to build a future energy system 

(17:20) – Macro grid studies 

(21:34) – Mapping deployment 

(24:57) – Future energy system: handle curtailment 

(26:41) – An open-source model for studying the 2021 Texas power outage 

(28:43) – Green Premium 

(30:40) – Policy solution 

(34:44) – Q&A

Read more

Listen on:

- "Talks at Climind" page: https://www.loom.com/share/b09bddce363e41ff86e8a9f48202965c

- Spotify Podcasts: https://open.spotify.com/show/4QjUMSeiqu9lCXcEGX13Ak 

- Apple Podcasts:  https://podcasts.apple.com/us/podcast/talks-at-climind/id1667874615?i=1000596651075 

- Youtube Channel: https://www.youtube.com/@talksatclimind 

-小宇宙: https://www.xiaoyuzhoufm.com/podcast/63c022c5a375960010792c48

Contact us

Interested in what Climind is doing to bridge data gaps in Climate Change?