shmh4's list


2018-11-29 13:00: CEDS group meeting (Dan Jones)

2018-12-13 13:00: Cancelled - CEDSG group meeting (Speaker to be confirmed)

2019-01-10 13:00: CEDSG group meeting (Speaker to be confirmed)

2019-01-24 13:00: CEDSG group meeting (Speaker to be confirmed)

2019-02-07 13:00: CEDSG group meeting (Speaker to be confirmed)

2019-03-07 13:00: CEDSG group meeting - Paper discussion: Bolton and Zanna 2019 (Paper discussion)

2019-03-21 13:00: CEDSG group meeting (Speaker to be confirmed)

2019-04-04 13:00: CEDSG group meeting - Risa and Robert discussing downscaling (Risa Ueno and Robert Rouse)

2019-05-02 13:00: CEDSG group meeting - Petr Doležal will discuss his part III project (Petr Doležal)

2019-05-16 13:00: CEDSG group meeting - discussion on Dueben and Bauer 2018 (Rachel Furner)

2019-05-30 13:00: CEDSG group meeting (Speaker to be confirmed)

2019-06-13 13:00: CEDSG group meeting - discussion on Sonnewald, Wunsch, Heimbach 2019 (Dan Jones)

2019-06-27 13:00: CEDSG group meeting - cancelled  (Ushnish Sengupta)

2019-07-11 13:00: Ushnish Sengupta, Listening for instabilities with probabilistic machine learning (Ushnish Sengupta, Engineering Dept.)

2019-07-25 13:00: *Cancelled* (Speaker to be confirmed)

2019-08-08 13:00: Subgrid Scale Information: Separating Urban and Rural Ozone (Matthew Shin, Chemistry Dept)

2019-08-22 13:00: Using machine learning to make skillful predictions of the wintertime North Atlantic Oscillation (James Keeble, Chemistry dept)

2019-09-05 13:00: *Cancelled* (Speaker to be confirmed)

2019-09-19 13:00:  The Silver Lining of Clustering: Finding Boundaries in the Southern Ocean (Simon Thomas (BAS))

2019-10-08 11:00: *Cancelled* - AI4ER-CEDSG group meeting (*Cancelled*)

2019-10-15 11:00: Designing Research for Sustainability (Dr Amy Munro-Faure)

2019-10-22 11:00: AI4ER-CEDSG group meeting (Group Round Table)

2019-10-29 11:00: Unsupervised Classification of Convective Organisation with Deep Learning (Leif Denby - University of Leeds)

2019-11-05 11:00: AI4ER-CEDSG group meeting (Matthew Shin, AI4ER student)

2019-11-12 11:00: TBC (Speaker to be confirmed)

2019-11-19 11:00: AI4ER-CEDSG group meeting (Will Tebbutt, AI4ER student)

2019-11-26 11:30: Understanding uncertainty via statistical analysis of a global aerosol model (Lindsey Lee, University of Leeds)

2019-12-03 11:00: AI4ER-CEDSG group meeting: Machine Learning Approaches to Assessing Future Flood Risk (Robert Rouse)

2019-12-10 11:00: CEDSG-AI4ER Group Round Table (Speaker to be confirmed)

2020-01-21 12:00: Developing data-driven models to emulate GCM’s (Rachel Furner, University of Cambridge/ British Antarctic Survey)

2020-02-04 12:00: Monitoring the world's volcanoes from space (Prof Andy Hooper, University of Leeds, School of Earth and Environment)

2020-02-11 12:00: Assessing teleconnection pathways with causal inference techniques (Marlene Kretschmer, University of Reading, Department of Meteorology)

2020-02-18 12:00: Harvesting the Sun: using AI to design better materials for energy (Xiaolei Feng, University of Cambridge, Department of Earth Sciences)

2020-02-25 12:00: Using Deep Learning to Count Albatrosses from Space (Ellie Bowler, University of East Anglia, British Antarctic Survey)

2020-02-28 13:30: How to get rid of carbon dioxide and make sure it does not pop back out (Nicky White, Department of Earth Sciences, University of Cambridge)

2020-03-03 12:00: Sustainable finance, TCFD (Taskforce on Climate-related Financial Disclosures) and data challenges / opportunities (Rebecca Self, University of Cambridge)

2020-03-10 12:00: Probabilistic Machine Learning for East US Storm Surges (Simon Thomas University of Cambridge)

2020-04-27 14:00: Viewing Climate Signals through an AI Lens ( Elizabeth A. Barnes, Associate Professor, Dept. of Atmospheric Science, CSU, Fort Collins, USA)

2020-05-01 11:00: VEdge_Detector: A tool for automated coastal vegetation edge detection using very deep convolutional neural networks (Martin Rogers University of Cambridge)

2020-05-05 11:00: VEdge_Detector: A tool for automated coastal vegetation edge detection using very deep convolutional neural networks (Martin Rogers, University of Cambridge)

2020-05-12 11:00: Machine learning at the Met Office (Tom Dunstan)

2020-05-19 11:00: Using Self-Organising Maps to understand non-linear cloud­-circulation couplings (Samantha Adams, Met Office)

2020-06-02 11:00: Using a GLM with spatial random effects to model fractures in antarctic iceshelves  (Sergio Bacallado, University of Cambridge)

2020-06-16 11:00: Reducing emission-driven ozone uncertainties in climate and air-quality models using machine learning (Tomás Sherwen)

2020-06-23 11:00: Better use of climate models with data science? (Paul Young)

2020-06-30 11:00: Robust Spatial Temporal Forecasting (Ayan Mukhopadhyay, Stanford University)

2020-10-13 11:00: Unsupervised Iceberg Detection in Satellite Images Using Recurrent Principal Component Analysis (Anita Faul | British Antarctic Survey)

2020-10-20 10:00: DeepBedMap: A Super-Resolution Generative Adversarial Network for resolving the bed topography of Antarctica (Wei Ji Leong | Antarctic Research Centre, Victoria University)

2020-10-27 11:00: Understanding the effects of traffic light signal time changes on air pollution – an in-depth study in London (Anna Schroeder | Department of Engineering, University of Cambridge)

2020-11-03 11:00: Breakthrough Credit and Insurance for Farmers using Remote Sensing and AI (Rishikesh Sapre | Mantle Labs)

2020-11-10 11:00: Machine Learning for Stochastic Parametrisation (Hannah Christensen | Department of Physics, University of Oxford)

2020-11-17 11:00: Inferring causation from time series with perspectives in Earth system sciences (Jakob Runge | Institute of Data Science, German Aerospace Center (DLR) - Climate Informatics Group)

2021-01-26 11:00: Quantifying Increased Occupational Heat Exposure of Rice Harvest Workers due to Climate Change (Charles Simpson | British Antarctic Survey)

2021-02-02 11:00: Applications of Generative Adversarial Networks in Environmental Data Science (Herbie Bradley | University of Cambridge)

2021-02-09 11:00: Using ensemble meteorological datasets to overcome limitations in a Bayesian volcanic ash inverse modelling system (Helen Webster | Met Office)

2021-02-16 11:00: CDT Team Challenge (AI4ER CDT 2020 cohort)

2021-02-23 11:00: Interpreting data-driven forecast systems - do they behave in physically sensible ways? (Rachel Furner | British Antarctic Survey/University of Cambridge)

2021-03-02 11:00: Stochastic Downscaling for Convective Regimes with Gaussian Random Fields (Rachel Prudden | Met Office)

2021-03-09 11:00: Probabilistic machine learning as an algorithmic interface to weather model and environmental data (Charlie Kirkwood | University of Exeter)

2021-03-16 11:00: Methods for dealing with sparse and incomplete environmental datasets (Ann Gledson and Doug Lowe | University of Manchester)

2021-03-23 11:00: Machine Learning for Weather Prediction (Peter Dueben | ECMWF)

2021-04-27 11:00: Can Federated Learning Save the Planet? (Xinchi Qiu & Nic Lane | University of Cambridge)

2021-05-11 11:00: Extreme weather events and water security as emerging challenges for global society: How can we use deep machine learning, topological data analysis and causal time series analysis to study weather phenomena in large climate datasets? (Grzegorz Muszynski | British Antarctic Survey)

2021-05-18 11:00: How can we ensemble geophysical models better? (Matt Amos | University of Lancaster)

2021-05-25 11:00: Using deep learning for precipitation nowcasting applications (Claire Bartholomew | Met Office)

2021-06-08 11:00: The link between the global carbon cycle and the interplay between calcium and sulfur in marine pore fluid (Hal Bradbury | University of Cambridge)

2021-06-22 11:00: Machine Learning Approaches to Assessing Future Flood & Storm Risk (Robert Rouse | University of Cambridge)

2021-06-29 12:30: Lunchtime Talk: The potential for AI in the study of Southern Ocean Clouds (Floortje Van Den Heuvel | British Antarctic Survey)

2021-10-26 11:00: Scaling land-atmosphere fluxes from sites to globe: Overview and synthesis of the FLUXCOM approach (Dr Martin Jung | Max Planck Institute of Biogeochemistry)

2021-10-30 13:00: CuAI x MLinPL: DeepMind (Mateusz Malinowski and Petar Veličković, Google DeepMind)

2021-11-02 11:00: Nature risk, restoration and capital allocation: How using data, ML & AI to understand and measure the value of natural capital for investors can positively influence the world around us - at scale (NatureAlpha)

2021-11-09 11:00: A Whirlwind tour of Gaussian process models and applications (Vincent Dutordoir (University of Cambridge))

2021-11-16 11:00: Whales from space: Using very high resolution satellite images to study whales (Hannah Cubaynes (University of Cambridge))

2021-11-23 11:00: Can machine learning help us track carbon dynamics in tropical forests? (Toby Jackson (University of Cambridge))

2021-11-30 16:00: Wildfire Smoke Plume Segmentation Using Geostationary Satellite Imagery (Jeff Wen | Stanford University)

2021-12-07 11:00: Lessons from IceNet: Input variable importance, hyperparameter tuning, and probability calibration (Tom Andersson (British Antarctic Survey))

2022-02-22 11:00: Multi-year drought storylines for Europe and North America from an iteratively perturbed global climate model (Claudia Gessner, ETH Zurich)

2022-03-08 11:00: Causal networks for climate model evaluation (Peer Nowack, University of East Anglia)

2022-04-05 11:00: Stochastic Parameterizations: Better Modelling of Temporal Correlations using ML (Raghul Parthipan, University of Cambridge)

2022-04-26 11:00: The Overlooked Perspectives of Environmental and Population Health Studies: A Balance between Data and Science  (Jason Sun, Department of Chemistry, University of Cambridge)

2022-05-03 11:00: How to bury CO2 underground and make sure that it does not escape (Nicky White, Department of Earth Sciences, University of Cambridge)

2022-05-03 12:00: Acoustic imaging of oceanic circulation (Nicky White, Department of Earth Sciences, University of Cambridge)

2022-05-31 11:00: Skilful precipitation nowcasting using deep generative models of radar (Suman Ravuri, Google DeepMind)

2022-06-14 11:00: Adjoint Models: what are they and why are they useful (Emma Boland, British Antarctic Survey)

2022-10-04 11:00: The Cambridge Centre for Carbon Credits (Thomas Swinfield, 4C & Department of Zoology)

2022-10-18 11:00: Planetary Intelligence: Better Decisions for Business and Planet (Matthew Smith, Scientific Technologies)

2022-10-25 11:00: Earth Observation and Artificial Intelligence Techniques for Natural Hazard Risk Assessment (Christian Geiss, German Aerospace Centre)

2022-11-01 11:00: Decolonising the curriculum (Liz Hide, Director of the Sedgwick Museum, Dept of Earth Sciences, University of Cambridge)

2022-11-08 11:00: Unsupervised Learning-enabled Analysis in Electron Microscopy.  (Po-Yen Tung (University of Cambridge))

2022-11-15 11:00: The environmental impact of computational science: how bad is it and what can we do about it? (Loic Lannelongue, Dept of Public Health and Primary Care, University of Cambridge)

2022-11-29 11:00: Can geomagnetic and ionospheric precursor signals improve earthquake forecasting? (Luke Cullen, Dept of Engineering, University of Cambridge)

2022-12-06 11:00: Pyrocast: A Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) clouds (Kenza Tazi, British Antarctic Survey and Dept of Engineering, University of Cambridge)

2023-01-17 15:00: Using unsupervised learning to discover how convective clouds form and evolve (Dr Leif Denby, University of Leeds)

2023-01-24 15:00: Sounds of the Earth: Using seismic recordings to listen to earthquakes and great whales (Dr Sergei Lebedev, Dept of Earth Sciences, University of Cambridge)

2023-01-31 15:00: Sustainability in research (Amy Munroe Faure, Engagement Manager, Cambridge Zero)

2023-02-07 15:00: Gulf Stream physical characteristics from remote sensing and neural networks (Etienne Pauthenet, Institut Français de Recherche pour l'Exploitation de la Mer)

2023-02-21 15:00: Enhancing automated analysis of marine soundscapes using ecoacoustic indices and machine learning (Dr Ben WIlliams, UCL)

2023-02-28 15:00: Checking contentious counting: how machine learning can help to verify international climate finance (Malte Toetzke, ETH Zurich)

2023-03-07 15:00: Met Office AI strategy (Kirstine Dale, the Met Office)

2023-03-14 15:00: Coastal flood risk (Ivan Haigh, University of Southampton)

2023-04-18 15:00: How to collaborate with climate modellers from a data scientist perspective: examples of application in unsupervised clustering and model tuning (Dr Redouane Lguensat, Sorbonne Université, Paris, France)

2023-04-25 15:00: Title to be confirmed (Raghul Parthipan and Omer Nivron, University of Cambridge)

2023-05-02 15:00: Field studies of high Arctic glacial methane seeps (Dr Gabby Kleber, University of Cambridge)

2023-05-09 15:00: Machine learning for evaluating the drivers of variability in Arctic sea-ice motion (Lauren Hoffman, University of California, San Diego)

2023-05-16 15:00: The future role of AI on the Earth sciences - a unified agenda (Gustau Camps-Valls, University of Valencia)

2023-05-23 16:00: Untangling aerosol-cloud interactions with machine learning (Dr Duncan Watson-Parris, University of California San Diego)

2023-05-30 15:00: Title to be confirmed (Dr Trystan Surawy-Stepney, University of Leeds)

2023-06-06 15:00: Planet-centred AI for responsible foresights and targeted technological design (Maria Perez-Ortiz, UCL)

2023-06-20 16:00: ClimaX: A foundation model for weather and climate (Dr Tung Nguyen, University of California Los Angeles)

2023-06-26 16:00: Multivariate bias corrections of climate simulations: A personal (methodological) view  (Dr Mathieu Vrac,  LSCE - Laboratoire des Sciences du Climat et de l'Environment)

2023-10-03 16:00: Restoration at landscape scale to address environmental risk (Taylor Shaw, Endangered Landscapes Programme, Cambridge Conservation Inititative)

2023-10-10 16:00: Open scientific data: how the UK Polar Data Centre supports open science using FAIR data principles (Dr Sarah Manthorpe)

2023-10-24 16:00: Title to be confirmed (Walid Al Saqaaf, Rebalance Earth)

2023-11-07 16:00: AI4ER special student session - Literature review knowledge exchange (AI4ER students)

2023-11-14 16:00: Applications of IceNet AI sea ice forecasts for Arctic wildlife conservation (Ellie Bowler, British Antarctic Survey)

2023-11-21 16:00: Probabilistic detection and tracking of icebergs in the Amundsen Sea Embayment from synthetic aperture radar (Ben Evans, British Antarctic Survey)

2023-11-28 16:00: DeepWeather: using NN-based downscaling to improve weather forecasting in New Zealand (Emily O'Riordan, Bodeker Scientific)

2024-01-16 16:00: Gaussian Processes at the Helm(holtz): A more fluid model for ocean currents (Renato Berlinghieri, Dept of Electrical Engineering and Computer Science, MIT)

2024-01-23 16:00: Machine learning assisted evidence synthesis to support evidence-based policy on climate change (Dr Max Callaghan, Mercator Research Institute on Global Commons and Climate Change, Berlin)

2024-01-30 16:00: Generalization vs Specialization in Computer Vision for Ecology (Assoc Prof Sara Beery, Faculty of Artificial Intelligence and Decision-Making, CSAIL, MIT)

2024-02-06 16:00: Online-Learned Neural Network Chemical Solver for Stable, Fast, and Long-Term Global Simulations of Atmospheric Chemistry (Dr Makoto Kelp, NOAA Climate and Global Change Postdoctoral Fellow, Dept of Earth System Science, Stanford University)

2024-02-13 16:00: Catastrophe Models (Dr Gordon Woo, Moody's RMS)

2024-02-20 16:00: The role of sulphur from human emissions in driving climate change (Vichawan Sakulsupich, Yusuf Hamied Dept of Chemistry, University of Cambridge)

2024-02-27 16:00: Do environmental considerations feature into global digital governance? (Dr Marielza Oliveira, Director for Partnerships and Operational Programme Monitoring, Communication and Information, UNESCO)

2024-03-05 16:00: The Spatial Confounding Environment (Dr Mauricio Tec, Dept of Biostatistics, Harvard University)

2024-04-30 16:00: THE ROLE OF SULFUR FROM HUMAN EMISSIONS IN DRIVING CLIMATE CHANGE (Print (Vichawan) Sakulsupich - University of Cambridge - Department of Chemistry)

2024-04-30 16:00: THE ROLE OF SULFUR FROM HUMAN EMISSIONS IN DRIVING CLIMATE CHANGE (Print (Vichawan) Sakulsupich - University of Cambridge - Department of Chemistry)

2024-05-07 16:00: Measuring avian species abundance with bioacoustics and machine learning (Ruari Marshall Hawkes - Dept of Zoology, University of Cambridge )

2024-05-21 12:15: AI4ER annual showcase (University of Cambridge)

2024-05-28 16:00: The role of AI in decision-making about air pollution emission control decisions (Ernani Choma - Harvard University, School of Public Health)

2024-06-04 16:00: The UK's national coupled climate model, HadGEM3, and its application to understanding Antarctic sea-ice variability (Tarkan Bilge - British Antarctic Survey)

2024-06-11 16:00: The Digital Revolution of Earth System Modelling (Peter Dueben - European Centre for Medium-Range Weather Forecasts)

2024-06-18 16:00: TBC (Cesar Quilodran Casas - Imperial College London)

2024-06-25 16:00: Earth, Water, & Fire: Assorted Projects in Environmental Data Science with a Human Focus (Dr Robert Rouse, Dept of Computer Science and Technology)