CMES

1^st Causal Methods in Environmental Science Workshop

Causal methods provide an exciting set of tools to determine and quantify the causal effects of interventions on systems of interest, going beyond traditional correlative methods. The goal of this workshop is to bring together causal researchers and environmental data scientists to discuss the latest developments in causal methods and their application to pressing environmental and climatic problems. The conference will be held in-person, at the William Gates Building in Cambridge, UK on the 6th and 7th of December 2022. The workshop is kindly supported by the Accelerate Programme at Cambridge.

At this exciting stage for causal methods in environmental science, the 1^st Causal Methods in Environmental Science workshop will allow early career researchers, academics and industry researchers alike to gain a sense of community and learn about the latest developments in the field. We aim to give a broad yet comprehensive overview of both causal methods and areas of environmental science that may benefit from the application of causal methods, and provide a meeting point for the community.

Please sign up for the conference by filling out the form below!

Speakers

We are fortunate to be hosting eminent speakers at the cutting edge of both foundational research into causal methods, and the application of these methods to environmental science.

Prof. Marlene Kretschmer

Keynote Speaker: A causal framework to analyse teleconnections

Junior Professor @ University of Leipzig

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Dr Amit Sharma

Keynote Speaker: The DoWhy library: Validating causal inference using negative controls

Principal Researcher @ Microsoft Research India

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Prof. Corwin Zigler

Keynote Speaker: Causal inference in air quality regulation: two topics in statistical and machine learning methodology

Associate Professor @ University of Texas at Austin

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Dr Andreas Gerhardus

Keynote Speaker: Learning cause-and-effect relationships from time series data

Senior Scientist @ DLR Jena

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Schedule

All talks will include ~10 minutes for Q&A at the end.
Times are given in GMT .

13:15
12:00	Tuesday 6th December
12:00	Welcome!
12:15	Talk \| Amit Sharma The DoWhy library: Validating causal inference using negative controls
13:15	Break \| 30 min
13:45	Talk \| Marlene Kretschmer A causal framework to analyse teleconnections
14:45
14:45	Break \| 15 min
15:00	Talk \| Corwin Zigler Causal inference in air quality regulation: two topics in statistical and machine learning methodology
16:00
16:00	Posters and Networking \| Show and Tell Bring a poster, or a slide, to talk about your work!
17:30
19:00	Dinner \| Sidney Sussex College
9:00	Wednesday 7th December
9:00	Wednesday 7th December
9:00	Talk \| Andreas Gerhardus Learning cause-and-effect relationships from time series data
10:00
10:00	Break \| 15 min
10:15	Talk \| Peter Manshausen Causal approaches to aerosol and cloud science
10:45
10:45	Talk \| Siyuan Guo Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
11:15
11:15	Break \| 15 min
11:30	Panel Discussion \| Next steps for causal methods in climate science
12:15
12:15	Lunch and close
13:00	Lunch and close

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