Overview
The upcoming workshop at the Neural Information Processing Systems (NeurIPS) 2019 conference will focus on the intersection of machine learning and climate change. This event is crucial for researchers aiming to leverage AI technologies to address pressing environmental issues, fostering collaboration and innovation in this vital area.
Background & Relevance
Climate change poses one of the most significant challenges of our time, impacting ecosystems, economies, and societies globally. Machine learning offers powerful tools to analyze complex data and develop solutions that can mitigate these impacts. By integrating machine learning techniques with climate science, researchers can contribute to more effective strategies for sustainability and resilience.
Key Details
- Event: Workshop on Climate Change and Machine Learning
- Date: December 13-14, 2019
- Location: Vancouver, Canada
- Submission Deadline: September 11, 2019, 11:59 PM Pacific Time
- Workshop Website: Climate Change AI Workshop
Eligibility & Participation
This call for papers invites contributions from researchers and practitioners in the field of machine learning. The workshop aims to attract a diverse range of submissions that explore innovative applications of machine learning to combat climate change.
Submission or Application Guidelines
- Submission Types:
- Papers Track: Limited to 3 pages (including references), focusing on ongoing, published, or deployed work.
- Proposals Track: Limited to 2 pages (including references), detailing ideas for future research.
- All submissions must articulate the positive impacts of the proposed work on climate change.
- Accepted submissions will be invited for poster presentations, with select works chosen for spotlight talks.
- For further details, refer to the workshop website.
Additional Context / Real-World Relevance
The integration of machine learning into climate science is essential for developing actionable insights and innovative solutions. This workshop will serve as a platform for sharing research findings, fostering discussions, and encouraging collaborations that can lead to significant advancements in the fight against climate change.
Conclusion
Researchers are encouraged to submit their work to this important workshop at NeurIPS 2019. This is an excellent opportunity to contribute to a critical dialogue on how machine learning can be harnessed to address climate change challenges. Interested participants should prepare their submissions in accordance with the guidelines and deadlines outlined above.
Category: CFP & Deadlines
Tags: climate-change, machine-learning, neurips, deep-learning, data-management, sustainability, agriculture, transportation, industrial-optimization
