Climate Change AI

Can simulations help to accelerate urban cargo-bike logistics? A team of researchers around Navish Kumar, Maxwell Schrader, Maria Astefanoaei, Akash Srivastava, Kai Xu, Esben Sørig, Soonmyeong (Chris) Yoon, Nicolas Collignon is tackling this question as part of the Climate Change AI innovation grants program. The team members working jointly on this come from Denmark, India and the US and represent a collaboration between IT-Universitetet i København, Kale Collective, Massachusetts Institute of Technology-IBM AI Research Lab, Indian Institute of Technology, Kharagpur, The University of Alabama, The University of Edinburgh, Pedal Me and urbike.

Learn more in our latest blog post:

The Green Last Mile Project: Accelerating Cargo-Bike Logistics in Cities Light goods vehicles (LGV) are one of the leading polluters in cities due to their extensive use in the last mile of delivery. Recently, cargo bike logistics has been put forward as a competitive, zero-emission candidate for replacing LGVs in urban areas, with experts usually estimating that cargo b...

In the second batch of new Content Committee members, we are excited to welcome Nathan Kiner, Shafat Rahman, Melanie Hanna, and Sharon Xu to the Climate Change AI core team.

We’ll announce new members of Climate Change AI’s Content Committee in two batches. First, a big welcome to Soledad Galli, Ioana Colfescu and Alp Kucukelbir, who will also be taking over as our new entrepreneurship community lead!

This year’s Climate Change AI workshop at offers successful paper authors the opportunity to submit their work to a special issue of the journal Environmental Data Science! Learn more about this exciting new collaboration and the workshop in general in our latest blog post, written by lead-organizer Peetak Mitra: https://www.climatechange.ai/blog/2022-09-12-neurips-22

The paper / proposals deadline for the Climate Change AI workshop at is coming up on Sep 18 at 23:59pm AOE!

Learn more on our website: https://climatechange.ai/events/neurips2022

Or watch the informational webinar: https://www.youtube.com/watch?v=WezT1Wo-KO4

Informational Webinar: Tackling Climate Change with Machine Learning at NeurIPS 2022 Recording of the informational webinar on the NeurIPS 2022 workshop "Tackling Climate Change with Machine Learning".To learn more about the workshop, please ...

Climate Change AI continues to grow! Over the coming days, we are excited to introduce new CCAI core team members. First off, we are happy to welcome Sebastian Ruf, Rasika Bhalerao and Alan Fortuny to our Communications Committee.

Can satellite imagery in combination with machine learning help with flood assessment in Fiji’s croplands? A team of researchers from the University of Western Australia, the University of Sydney, the University of the South Pacific and the Fiji Ministry of Agriculture are tackling this problem as part of the Climate Change AI Innovation Grants program.

Learn more from the project team members Solomoni Nagaunavou, Nathan Wales, Renata Varea, John Duncan, Eleanor Bruce, Byran Boruff and Diana Ralulu in our latest blog post: https://www.climatechange.ai/blog/2022-09-06-grants-fiji-flood

It’s a wrap! Last Friday, we concluded this year’s edition of the Climate Change AI summer school. A big thank you to all our lecturers, tutors, the organizing committee and everyone else involved. We also want to thank our 2022 student cohort for their enthusiastic participation. Stay tuned for recordings of summer school content.

On Friday, David Dao closed out the first week of the Climate Change AI summer school with a lecture on forestry and land use. We are already excited for the second week!

The 2022 Climate Change AI summer school is kicking off today! Over the next two weeks, over 70 participants from 30 countries will learn about different fields at the intersection of & . Does this sound exciting to you? We’ll release recordings of summer school content in the following weeks, so stay tuned! 🎉

Two days left to submit to our Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium on the role of in responding to challenges!

Learn more: https://www.climatechange.ai/events/aaaifss2022

Climate Change AI is excited to announce another virtual workshop on climate change and machine learning, which will be hosted at NeurIPS 2022. There are several ways to participate:

- Be a mentor or mentee in our mentorship program (applications due Aug 18th)
- Submit a tutorial proposal on your work at the intersection of climate change and machine learning (submissions due Aug 18th)
- Submit a paper or proposal on your work at the intersection of climate change and machine learning (submissions due Sep 18th)
- Attend the virtual workshop on Dec 9th, 2022.

We will also hold informational webinars on Tuesday, Aug 15th (at 10:00 AM Eastern Time / 3:00 PM London time) and Wednesday, Aug 16th (at 2:00 PM Eastern Time / 7:00 PM London time) for advice on how to prepare a successful submission, and an opportunity to ask questions regarding the mentorship program.

For more details, see the workshop website at https://www.climatechange.ai/events/neurips2022.html

To stay up to date on Climate Change AI’s upcoming workshops and activities, please consider signing up for our newsletter: https://www.climatechange.ai/newsletter

We are excited to organize an Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium on the role of in responding to challenges. The event will happen between November 17-19 in Arlington, Virginia, USA.

Submissions are due on July 29, 23:59 (AOE). You can learn more about the program and read the call for submissions on our website: https://www.climatechange.ai/events/aaaifss2022

Over the next couple of months, we'll present the different projects funded through Climate Change AI’s Innovation Grants program in a series of blog posts.

First off: How can computer vision and GIS help to scale smart shrimp aquaculture in Southeast Asia, and how can this support restoration efforts of mangrove forests?

Learn more in our latest blog post, written by the project team: https://www.climatechange.ai/blog/2022-06-16-grants-mangrove

The next Climate Change AI webinar, a collaboration with the Global Power System Transformation Consortium and the Electric Power Research Institute (EPRI), will happen on June 21, 4PM ET.

This webinar will focus on fostering the use of AI for power system transformation and feature insights from Baosen Zhang and Ferdinando Fioretto.

Learn more and sign up for free: https://www.climatechange.ai/webinars

In our latest blog post, Mark Roth recaps the first round of Climate Change AI reading groups.

To hear what the group leaders have to say, what insights we gained from the reading groups and what our plans for the future are (spoiler: there will be more reading groups!), read the full blog post here:
https://www.climatechange.ai/blog/2022-05-31-reading-groups-recap

We are excited to share this call for innovation research grants by RUFORUM, WASCAL and AKADEMIYA2063. The grants program is part of a new African innovation research network, initiated by Artificial Intelligence for Development Africa (AI4D Africa), a partnership between the Swedish International Development Cooperation Agency (SIDA) and the Canadian International Development Research Centre (IDRC), and Climate Change AI.

The deadline for grant applications is June 30, 2022. To learn more and to apply, see here: https://ruforum.wordpress.com/2022/04/28/call-for-innovation-research-grants-onresponsible-artificial-intelligence-for-climate-action/

Climate Change AI is looking for participants in our second round of reading groups, starting later this month! Each of our three reading groups will focus on a different topic and allow you to learn alongside other members of the Climate Change AI community.

Learn more & sign up: https://community.climatechange.ai/c/learning/reading-groups-round-ii

Join the next Climate Change AI webinar on May 13th on "Machine Reading the Growing Climate Science and Adaptation Literature", featuring Dr. Roopam Shukla (Indian Institute of Technology, Roorkee) & Dr. Max Callaghan (Mercator Research Institute on Global Commons and Climate Change).

Description:

Can computational advances in natural language processing help to make sense of the expanding climate science and adaptation literature?

There are hundreds of thousands of scientific papers about climate change. This poses an increasingly intractable challenge for evidence synthesis, including large assessments like the Intergovernmental Panel on Climate Change, as well as science more generally. Computational approaches from NLP can assist in identifying and mapping this literature; the use of machine learning can streamline labour-intensive processes in the practice of evidence synthesis. Join us for an exciting overview of this timely topic by Dr. Roopam Shukla and Dr. Max Callaghan.

Registration (free):

https://www.climatechange.ai/register/webinar

We are excited to announce the awardees of the 2022 Climate Change AI Innovation Grants program! 13 proposals were selected out of almost 200 high-quality submissions, spanning researchers in six continents and research topics from energy to biodiversity.

We share more information on the Innovation Grants program and the selection process in a new blog post, which you can find here: https://www.climatechange.ai/blog/2022-04-13-innovation-grants

We also again want to thank Schmidt Futures and the Quadrature Climate Foundation, as well as our fiscal sponsor Future Earth, for making the Innovation Grants program possible.

Climate Change AI was launched to catalyze work on the ideas described in “Tackling Climate Change With Machine Learning,” a paper co-authored by many of the organization’s core team members.

We’re pleased to announce that the final, peer-reviewed paper has now been published: https://dl.acm.org/doi/full/10.1145/3485128.

We hope it will serve as inspiration and guidance for researchers, policymakers, and others interested in the intersection of climate change and AI. And if you’d like to learn more about that intersection or address it more in your work, we encourage you to check out all the resources on CCAI’s website, https://climatechange.ai!

Join Climate Change AI for our next webinar: "Open Discussion with Global Power System Operators: The AI Opportunity" on Tuesday March 1st, 3:00 PM US Eastern Time.

This event is co-organized in collaboration between Global Power System Transformation Consortium, Climate Change AI, and the Electric Power Research Institute (EPRI), as part of EPRI’s Artificial Intelligence Grand Challenges initiative. The event will feature representatives from Australian Energy Market Operator (AEMO) (Australia), California ISO (California, USA), EirGrid (Ireland), Energinet (Denmark), ERCOT (Texas, USA), and National Grid ESO (Great Britain).

https://www.climatechange.ai/register/ccai_webinar

Who are the people running Climate Change AI? In a new series on our blog, we want to take some time and introduce the different core team members of the organization. Our volunteers talk about their roles within the team and what they are doing beyond CCAI.

We kick off the series with our programs chair Evan Sherwin. You can read the full core team profile here: https://www.climatechange.ai/blog/2022-02-07-evan-sherwin-profile

We are excited to share the first guest contribution on the Climate Change AI blog! Eric Lumsden discusses the EPA’s new proposal for reducing methane emissions and how can support these efforts.

If you are also interested in authoring a guest post on our blog, please reach out via email at [email protected] or directly here on LinkedIn.

https://www.climatechange.ai/blog/2022-01-19-methane-reduction

In our latest blog post, David Dao and Lynn Kaack write about their experiences at COP 26 in Glasgow. The events Climate Change AI co-organized for policymakers at the conference last November focused on AI's relationship with climate change.

You can read the full blog post here: https://www.climatechange.ai/blog/2022-01-12-ccai-cop26

Join us for the next Climate Change AI webinar on machine learning for biodiversity monitoring on Friday January 21, 12:00 PM US Eastern Time.

Speakers: Sara Beery (Caltech), Dave Thau (WWF)

Free registration: https://www.climatechange.ai/register/webinar

How can AI help to reduce the energy consumption of buildings? In the latest Climate Change AI blog post, Ján Drgoňa discusses how heating, cooling, ventilation, and air-conditioning (HVAC) systems can be optimized using physics-constrained models and predictive control mechanisms.

Read the blog post here: https://www.climatechange.ai/blog/2021-12-21-building-hvac-control

Learning to Control Buildings Like an Engineer Buildings are a big deal for climate change. They contribute to 40% of global energy use, with a large portion of that energy going to heating, cooling, ventilation, and air-conditioning (HVAC).

Climate Change AI is supporting this year’s Women in Data Science Datathon, which will highlight the role of buildings for climate change mitigation while supporting women in the field.

Nikola Milojevic-Dupont, Priya Donti & Andrew Ross have written a new blog post highlighting the challenges and goals of the Datathon. Read the whole post here: https://www.climatechange.ai/blog/2021-12-13-wids-datathon