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Workshop

NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems

Rasika Bhalerao ⋅ Mark Roth ⋅ Kai Jeggle ⋅ Jorge Montalvo Arvizu ⋅ Shiva Madadkhani ⋅ Yoshua Bengio
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Schedule

Timezone: America/Los_Angeles
6:15 AM
Opening Remarks
8:50 AM
EarthPT: a foundation model for Earth Observation
Michael J Smith ⋅ Luke Fleming ⋅ James Geach
9:06 AM
Zero-Emission Vehicle Intelligence (ZEVi): Effectively Charging Electric Vehicles at Scale Without Breaking Power Systems (or the Bank)
Shasha Lin ⋅ Jonathan Brophy ⋅ Tamara Monge ⋅ Jamie Hussman ⋅ Michelle Lee ⋅ Sam Penrose
9:14 AM
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng ⋅ Ruben Cartuyvels ⋅ Ivan Zvonkov ⋅ Mirali Purohit ⋅ David Rolnick ⋅ Hannah Kerner
9:22 AM
Contextual Reinforcement Learning for Offshore Wind Farm Bidding
David Cole ⋅ Himanshu Sharma ⋅ Wei Wang
9:30 AM
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data
Matt Allen ⋅ Francisco Dorr ⋅ Joseph Alejandro Gallego Mejia ⋅ Laura Martínez-Ferrer ⋅ Freddie Kalaitzis ⋅ Raul Ramos-Pollán ⋅ Anna Jungbluth
9:40 AM
Lunch Break
11:40 AM
Asset Bundling for Wind Power Forecasting
Hanyu Zhang ⋅ Mathieu Tanneau ⋅ Chaofan Huang ⋅ V. Roshan Joseph ⋅ Shangkun Wang ⋅
11:56 AM
Discovering Effective Policies for Land-Use Planning
Risto Miikkulainen ⋅ Olivier Francon ⋅ Daniel Young ⋅ Babak Hodjat
1:10 PM
Break
2:35 PM
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
Somya Sharma ⋅ Swati Sharma ⋅ RAFAEL PADILHA ⋅ Emre Kiciman ⋅ Ranveer Chandra
2:43 PM
Real-time Carbon Footprint Minimization in Sustainable Data Centers wth Reinforcement Learning
Soumyendu Sarkar ⋅ Avisek Naug ⋅ Ricardo Luna Gutierrez ⋅ Antonio Guillen-Perez ⋅ Vineet Gundecha ⋅ Ashwin Ramesh Babu
2:59 PM
Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data
Maria Carolina Novitasari ⋅ Johannes Quaas ⋅ Miguel Rodrigues
3:07 PM
ACE: A fast, skillful learned global atmospheric model for climate prediction
Oliver Watt-Meyer ⋅ Gideon Dresdner ⋅ Jeremy McGibbon ⋅ Spencer K. Clark ⋅ James Duncan ⋅ Brian Henn ⋅ Matthew Peters ⋅ Noah Brenowitz ⋅ Karthik Kashinath ⋅ Mike Pritchard ⋅ Boris Bonev ⋅ Christopher S. Bretherton
3:15 PM
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Kai Jeggle ⋅ Mikolaj Czerkawski ⋅ Federico Serva ⋅ Bertrand Le Saux ⋅ David Neubauer ⋅ Ulrike Lohmann
Machine learning for gap-filling in greenhouse gas emissions databases
Luke Cullen ⋅ Andrea Marinoni ⋅ Jonathan Cullen
Flamingo: Environmental Impact Factor Matching for Life Cycle Assessment with Zero-Shot ML
Bharathan Balaji ⋅ Venkata Sai Gargeya Vunnava ⋅ Nina Domingo ⋅ Shikhar Gupta ⋅ Harsh Gupta ⋅ Geoffrey Guest ⋅ Aravind Srinivasan ⋅ Kellen Axten ⋅ Jared Kramer
Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems?
Gabriel Kasmi ⋅ Laurent Dubus ⋅ Yves-Marie Saint-Drenan ⋅ Philippe BLANC
Price-Aware Deep Learning for Electricity Markets
Vladimir Dvorkin ⋅ Nando Fioretto
Spatially-resolved emulation of climate extremes via machine learning stochastic models
Mengze Wang ⋅ Andre Souza ⋅ Raffaele Ferrari ⋅ Themis Sapsis
Reinforcement Learning control for Airborne Wind Energy production
Lorenzo Basile ⋅ Maria Grazia Berni ⋅ Antonio Celani
Machine learning derived sub-seasonal to seasonal extremes
Daniel Salles Civitarese ⋅ Bianca Zadrozny
Enhancing Data Center Sustainability with a 3D CNN-Based CFD Surrogate Model
Soumyendu Sarkar ⋅ Avisek Naug ⋅ Zachariah Carmichael ⋅ Vineet Gundecha ⋅ Ashwin Ramesh Babu ⋅ Antonio Guillen-Perez ⋅ Ricardo Luna Gutierrez
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
Avisek Naug ⋅ Antonio Guillen-Perez ⋅ Ricardo Luna Gutierrez ⋅ Vineet Gundecha ⋅ Sahand Ghorbanpour ⋅ Sajad Mousavi ⋅ Ashwin Ramesh Babu ⋅ Soumyendu Sarkar
Uncertainty Quantified Machine Learning for Street Level Flooding Predictions in Norfolk, Virginia
Steven Goldenberg ⋅ Diana McSpadden ⋅ Binata Roy ⋅ Malachi Schram ⋅ Jonathan Goodall ⋅ Heather Richter
Weakly-semi-supervised object detection in remotely sensed imagery
Ji Hun Wang ⋅ Jeremy Irvin ⋅ Beri Kohen Behar ⋅ Ha Tran ⋅ Raghav Samavedam ⋅ Quentin Hsu ⋅ Andrew Ng
Explainable Offline-online Training of Neural Networks for Multi-scale Climate Modeling
Hamid A. Pahlavan ⋅ Pedram Hassanzadeh ⋅ M. Joan Alexander
Uncertainty Quantification of the Madden–Julian Oscillation with Gaussian Processes
Haoyuan Chen ⋅ Emil Constantinescu ⋅ Vishwas Rao ⋅ Cristiana Stan
Mapping Housing Stock Characteristics from Drone Images for Climate Resilience in the Caribbean
Isabelle Tingzon ⋅ Nuala Margaret Cowan ⋅ Pierre Chrzanowski
Flowering Onset Detection: Deep Learning Performance in a Sparse Label Context
Joel Hempel ⋅ Mauricio Soroco ⋅ Xinze Xiong ⋅ Joséphine Gantois ⋅ Mathias Lécuyer
Glacier Movement Prediction with Attention-based Recurrent Neural Networks and Satellite Data
Jonas Müller ⋅ Raphael Braun ⋅ Hendrik PA Lensch ⋅ Nicole Ludwig
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning
William Yik ⋅ Maike Sonnewald ⋅ Mariana Clare ⋅ Redouane Lguensat
Climate-sensitive Urban Planning through Optimization of Tree Placements
Simon Schrodi ⋅ Ferdinand Briegel ⋅ Max Argus ⋅ Andreas Christen ⋅ Thomas Brox
A Causal Discovery Approach To Learn How Urban Form Shapes Sustainable Mobility Across Continents
Felix Wagner ⋅ Florian Nachtigall ⋅ Lukas Franken ⋅ Nikola Milojevic-Dupont ⋅ Marta Gonzalez ⋅ Jakob Runge ⋅ Rafael Pereira ⋅ Felix Creutzig
An LSTM-based Downscaling Framework for Australian Precipitation Projections
Matthias Bittner ⋅ Sanaa Hobeichi ⋅ Muhammad Zawish ⋅ Samo DIATTA ⋅ Remigius Ozioko ⋅ Sharon Xu ⋅ Axel Jantsch
Graph-based Neural Weather Prediction for Limited Area Modeling
Joel Oskarsson ⋅ Tomas Landelius ⋅ Fredrik Lindsten
Global Coastline Evolution Forecasting from Satellite Imagery using Deep Learning
Guillaume Riu ⋅ Mahmoud AL NAJAR ⋅ Gregoire THOUMYRE ⋅ Rafael ALMAR ⋅ Dennis Wilson
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models
Theodore Wolf ⋅ Nantas Nardelli ⋅ John Shawe-Taylor ⋅ Maria Perez-Ortiz
Understanding Opinions Towards Climate Change on Social Media
Yashaswi Pupneja ⋅ Yuesong Zou ⋅ Sacha Levy ⋅ Shenyang Huang
Surrogate modeling based History Matching for an Earth system model of intermediate complexity
Maya Janvier ⋅ Redouane Lguensat ⋅ Julie Deshayes ⋅ Aurélien Quiquet ⋅ Didier Roche ⋅ V. Balaji
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
Lucas Rosenblatt ⋅ Bin Han ⋅ Erin Posthumus ⋅ Theresa Crimmins ⋅ Bill Howe
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence
Rambod Mojgani ⋅ Daniel Waelchli ⋅ Yifei Guan ⋅ Petros Koumoutsakos ⋅ Pedram Hassanzadeh
Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate
Jerry Lin ⋅ Mohamed Aziz Bhouri ⋅ Tom Beucler ⋅ Sungduk Yu ⋅ Mike Pritchard
Deploying Reinforcement Learning based Economizer Optimization at Scale
Ivan Cui ⋅ Wei Yih Yap ⋅ Charles Prosper ⋅ Bharathan Balaji ⋅ Jake Chen
Sustainable Data Center Modeling: A Multi-Agent Reinforcement Learning Benchmark
Soumyendu Sarkar ⋅ Avisek Naug ⋅ Antonio Guillen-Perez ⋅ Ricardo Luna Gutierrez ⋅ Vineet Gundecha ⋅ Sahand Ghorbanpour ⋅ Sajad Mousavi ⋅ Ashwin Ramesh Babu
Agile Modeling for Bioacoustic Monitoring
tom denton ⋅ Jenny Hamer ⋅ Rob Laber
Comparing Data-Driven and Mechanistic Models for Predicting Phenology in Deciduous Broadleaf Forests
Christian Reimers ⋅ David Hafezi Rachti ⋅ Guohua Liu ⋅ Alexander Winkler
Typhoon Intensity Prediction with Vision Transformer
Huanxin Chen ⋅ Pengshuai Yin ⋅ Huichou Huang ⋅ Qingyao Wu ⋅ Ruirui Liu ⋅ Xiatian Zhu
RMM-VAE: a machine learning method for identifying probabilistic weather regimes targeted to a local-scale impact variable
Fiona Spuler ⋅ Marlene Kretschmer ⋅ Ted Shepherd ⋅ Magdalena Balmaseda ⋅ Yevgeniya Kovalchuck
Gaussian Processes for Monitoring Air-Quality in Kampala
Clara Stoddart ⋅ Lauren Shrack ⋅ Usman Abdul-Ganiy ⋅ Richard Sserunjogi ⋅ Engineer Bainommugisha ⋅ Deo Okure ⋅ Ruth Misener ⋅ Jose Pablo Folch ⋅ Ruby Sedgwick
Methane Plume Detection with U-Net Segmentation on Sentinel-2 Image Data
Berenice du Baret ⋅ Simon Finos ⋅ Hugo Guiglion ⋅ Dennis Wilson
Towards Causal Representations of Climate Model Data
Julien Boussard ⋅ Chandni Nagda ⋅ Julia Kaltenborn ⋅ Charlotte Lange ⋅ Yaniv Gurwicz ⋅ Peer Nowack ⋅ David Rolnick
FireSight: Short-Term Fire Hazard Prediction Based on Active Fire Remote Sensing Data
Julia Gottfriedsen ⋅ Johanna Strebl ⋅ Max Berrendorf ⋅ Martin Langer ⋅ Volker Tresp
Exploring Causal Relationship between Environment and Drizzle Properties using Machine Learning
Piyush Garg ⋅ Virendra Ghate ⋅ Maria Cadeddu ⋅ Bethany Lusch
Physics-Informed Domain-Aware Atmospheric Radiative Transfer Emulator for All Sky Conditions
Piyush Garg ⋅ Emil Constantinescu ⋅ Bethany Lusch ⋅ Troy Arcomano ⋅ Jiali Wang ⋅ Rao Kotamarthi
Zero shot microclimate prediction with deep learning
Iman Deznabi ⋅ Peeyush Kumar ⋅ Madalina Fiterau
Improving Flood Insights: Diffusion-based SAR to EO Image Translation
Minseok Seo ⋅ YoungTack Oh ⋅ Doyi Kim ⋅ Dongmin Kang ⋅ Yeji Choi
Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models
Yixuan Sun ⋅ Elizabeth Cucuzzella ⋅ Steven Brus ⋅ Sri Hari Krishna Narayanan ⋅ Balu Nadiga ⋅ Luke Van Roekel ⋅ Jan Hückelheim ⋅ Sandeep Madireddy
Can LLMs Accurately Assess Human Confidence in Climate Statements?
Romain Lacombe ⋅ Kerrie Wu ⋅ Eddie Dilworth
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
XIAOLONG TU ⋅ ANIK MALLIK ⋅ Jiang Xie ⋅ Haoxin Wang
Integrating Building Survey Data with Geospatial Data: A Cluster-Based Ethical Approach
Vidisha Chowdhury ⋅ Gabriela Gongora-Svartzman ⋅ Erin Trochim ⋅ Philippe Schicker
Breeding Programs Optimization with Reinforcement Learning
Omar G. Younis ⋅ Matteo Turchetta ⋅ Ioannis Athanasiadis ⋅ Andreas Krause ⋅ Joachim M Buhmann ⋅ Luca Corinzia
Probabilistic land cover modeling via deep autoregressive models
Christopher Krapu ⋅ Ryan Calder ⋅ Mark Borsuk
Resource Efficient and Generalizable Representation Learning of High-Dimensional Weather and Climate Data
Juan Nathaniel ⋅ Marcus Freitag ⋅ Patrick Curran ⋅ Isabel Ruddick ⋅ Johannes Schmude
Difference Learning for Air Quality Forecasting Transport Emulation
Reed Chen ⋅ Christopher Ribaudo ⋅ Jennifer Sleeman ⋅ Clayton Ashcraft ⋅ Marisa Hughes
Cooperative Logistics: Can AI Enable Trustworthy Cooperation at Scale?
Stephen Mak ⋅ Tim Pearce ⋅ Matthew Macfarlane ⋅ Liming Xu ⋅ Michael Ostroumov ⋅ Alexandra Brintrup
Fusion of Physics-Based Wildfire Spread Models with Satellite Data using Generative Algorithms
Bryan Shaddy ⋅ Deep Ray ⋅ Angel Farguell ⋅ Valentina Calaza ⋅ Jan Mandel ⋅ James Haley ⋅ Kyle Hilburn ⋅ Derek Mallia ⋅ Adam Kochanski ⋅ Assad Oberai
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network
Takuya Kurihana ⋅ ⋅ Kyongmin Yeo ⋅ Daniela Szwarcman ⋅ Bruce Elmegreen ⋅ Surya Karthik Mukkavilli ⋅ Johannes Schmude
Scaling Sodium-ion Battery Development with NLP
Mrigi Munjal ⋅ Thorben Prein ⋅ Vineeth Venugopal ⋅ Kevin Huang ⋅ Elsa Olivetti
Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction
Linyu Liu ⋅ Zhen Dai ⋅ Shiji Song ⋅ Xiaocheng Li ⋅ Guanting Chen
Towards a spatio-temporal deep learning approach to predict malaria outbreaks using earth observation measurements in South Asia
Usman Nazir ⋅ Ahzam Ejaz ⋅ Muhammad Talha Quddoos ⋅ Momin Uppal ⋅ Sara khalid
Inference of CO2 flow patterns--a feasibility study
Abhinav Prakash Gahlot ⋅ Huseyin Tuna Erdinc ⋅ Rafael Orozco ⋅ Ziyi Yin ⋅ Felix J. Herrmann
Generative Nowcasting of Marine Fog Visibility in the Grand Banks area and Sable Island in Canada
Eren Gultepe ⋅ Sen Wang ⋅ Byron Blomquist ⋅ Harindra Fernando ⋅ Patrick Kreidl ⋅ David Delene ⋅ Ismail Gultepe
Data-Driven Traffic Reconstruction for Identifying Stop-and-Go Waves
Edgar Ramirez Sanchez ⋅ Shreyaa Raghavan ⋅ Cathy Wu
Prototype-oriented Unsupervised Change Detection for Disaster Management
YoungTack Oh ⋅ Minseok Seo ⋅ Doyi Kim ⋅ Junghoon Seo
Towards autonomous large-scale monitoring the health of urban trees using mobile sensing
Akshit Gupta ⋅ Martine Rutten ⋅ RANGA RAO VENKATESHA PRASAD ⋅ Remko Uijlenhoet
SAM-CD: Change Detection in Remote Sensing Using Segment Anything Model
Faroq AL-Tam ⋅ Thariq Khalid ⋅ Athul Mathew ⋅ Andrew Carnell ⋅ Riad Souissi
Towards Global, General-Purpose Pretrained Geographic Location Encoders
Konstantin Klemmer ⋅ Esther Rolf ⋅ Caleb Robinson ⋅ Lester Mackey ⋅ Marc Rußwurm
Climate Variable Downscaling with Conditional Normalizing Flows
Christina Winkler ⋅ Paula Harder ⋅ David Rolnick
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data
Maria Carolina Novitasari ⋅ Johannes Quaas ⋅ Miguel Rodrigues
Antarctic bed topography super-resolution via transfer learning
Kim Bente ⋅ Roman Marchant ⋅ Fabio Ramos
Towards Understanding Climate Change Perceptions: A Social Media Dataset
Katharina Prasse ⋅ Steffen Jung ⋅ Isaac Bravo ⋅ Stefanie Walter ⋅ Margret Keuper
A machine learning pipeline for automated insect monitoring
Aditya Jain ⋅ Francisco Cunha ⋅ Michael Bunsen ⋅ Léonard Pasi ⋅ Anna Viklund ⋅ Maxim Larrivee ⋅ David Rolnick
Ocean Wave Energy: Optimizing Reinforcement Learning Agents for Effective Deployment
Vineet Gundecha ⋅ Sahand Ghorbanpour ⋅ Ashwin Ramesh Babu ⋅ Avisek Naug ⋅ Alexandre Pichard ⋅ Mathieu Cocho ⋅ Soumyendu Sarkar
Sustainability AI copilot: Analyze & ideate at scale to enable positive impact
Rajagopal A ⋅ Nirmala V ⋅ Immanuel Johnraja Jebadurai ⋅ Arun V
Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding
Jay Gala ⋅ Sauradip Nag ⋅ Huichou Huang ⋅ Ruirui Liu ⋅ Xiatian Zhu
Causality and Explainability for Trustworthy Integrated Pest Management
Ilias Tsoumas ⋅ Vasileios Sitokonstantinou ⋅ GEORGIOS GIANNARAKIS ⋅ Evagelia Lampiri ⋅ Christos Athanassiou ⋅ Gustau Camps-Valls ⋅ Charalampos Kontoes ⋅ Ioannis Athanasiadis
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
Michelle Wan ⋅ Jeff Clark ⋅ Edward Small ⋅ Elena Fillola Mayoral ⋅ Raul Santos-Rodriguez
Understanding Climate Legislation Decisions with Machine Learning
Jeff Clark ⋅ Michelle Wan ⋅ Raul Santos-Rodriguez
Assessing data limitations in ML-based LCLU
Angel Encalada-Davila ⋅ Christian Tutiven ⋅ Jose Cordova-Garcia
Decarbonizing Maritime Operations: A Data-Driven Revolution
Ismail Bourzak ⋅ Loubna Benabbou ⋅ Sara El Mekkaoui ⋅ Abdelaziz Berrado
High-resolution Global Building Emissions Estimation using Satellite Imagery
Paul Markakis ⋅ Jordan Malof ⋅ Trey Gowdy ⋅ Leslie Collins ⋅ Dr. Aaron Davitt ⋅ Gabriela Volpato ⋅ Kyle Bradbury
Unlocking the Potential of Renewable Energy Through Curtailment Prediction
Bilge Acun ⋅ Brent Morgan ⋅ Henry Richardson ⋅ Nat Steinsultz ⋅ Carole-Jean Wu
Self-supervised Pre-training for Precipitation Post-processor
Sojung An ⋅ Junha Lee ⋅ Jiyeon Jang ⋅ Inchae Na ⋅ Sujeong You ⋅ Wooyeon Park
EarthPT: a foundation model for Earth Observation
Michael J Smith ⋅ Luke Fleming ⋅ James Geach
Zero-Emission Vehicle Intelligence (ZEVi): Effectively Charging Electric Vehicles at Scale Without Breaking Power Systems (or the Bank)
Shasha Lin ⋅ Jonathan Brophy ⋅ Tamara Monge ⋅ Jamie Hussman ⋅ Michelle Lee ⋅ Sam Penrose
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
Gabriel Tseng ⋅ Ruben Cartuyvels ⋅ Ivan Zvonkov ⋅ Mirali Purohit ⋅ David Rolnick ⋅ Hannah Kerner
Contextual Reinforcement Learning for Offshore Wind Farm Bidding
David Cole ⋅ Himanshu Sharma ⋅ Wei Wang
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Kai Jeggle ⋅ Mikolaj Czerkawski ⋅ Federico Serva ⋅ Bertrand Le Saux ⋅ David Neubauer ⋅ Ulrike Lohmann
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data
Matt Allen ⋅ Francisco Dorr ⋅ Joseph Alejandro Gallego Mejia ⋅ Laura Martínez-Ferrer ⋅ Freddie Kalaitzis ⋅ Raul Ramos-Pollán ⋅ Anna Jungbluth
Asset Bundling for Wind Power Forecasting
Hanyu Zhang ⋅ Mathieu Tanneau ⋅ Chaofan Huang ⋅ V. Roshan Joseph ⋅ Shangkun Wang ⋅
Discovering Effective Policies for Land-Use Planning
Risto Miikkulainen ⋅ Olivier Francon ⋅ Daniel Young ⋅ Babak Hodjat
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization
Somya Sharma ⋅ Swati Sharma ⋅ RAFAEL PADILHA ⋅ Emre Kiciman ⋅ Ranveer Chandra
Real-time Carbon Footprint Minimization in Sustainable Data Centers wth Reinforcement Learning
Soumyendu Sarkar ⋅ Avisek Naug ⋅ Ricardo Luna Gutierrez ⋅ Antonio Guillen-Perez ⋅ Vineet Gundecha ⋅ Ashwin Ramesh Babu
Unleashing the Autoconversion Rates Forecasting: Evidential Regression from Satellite Data
Maria Carolina Novitasari ⋅ Johannes Quaas ⋅ Miguel Rodrigues
ACE: A fast, skillful learned global atmospheric model for climate prediction
Oliver Watt-Meyer ⋅ Gideon Dresdner ⋅ Jeremy McGibbon ⋅ Spencer K. Clark ⋅ James Duncan ⋅ Brian Henn ⋅ Matthew Peters ⋅ Noah Brenowitz ⋅ Karthik Kashinath ⋅ Mike Pritchard ⋅ Boris Bonev ⋅ Christopher S. Bretherton