Computational sustainability has been a special track at AAAI since 2011. The track invites “research papers on novel concepts, models, algorithms, and systems” at the nexus of AI, and environmental and societal sustainability. The 2017 special track cochairs were Bistra Dilkina of Georgia Institute of Technology and Sabine Storandt of Julius-Maximilians-Universität Würzburg.

There were two CompSust awards given at the 2017 AAAI conference. The AAAI CompSust Best Paper Award was given to
Xiaojian Wu, Akshat Kumar, Daniel Sheldon, and Shlomo Zilberstein for “Robust Optimization for Tree-Structured Stochastic Network Design“. The CompSust Best Student Paper was given to Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell and Stefano Ermon for their paper “Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.”

The AAAI CompSust Best Paper Committee included Alan Mackworth of the University of British Columbia, Zico Kolter of Carnegie Mellon UIniversity, and Amy McGovern of the University of Oklahoma.

The IAAAI conference, co-located with AAAI, also had computational sustainability representation, and CompSustNet researchers received an IAAI-17 Deployed Application Award for
“Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery” by  Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert B. van Dover, John Gregoire, and Carla P. Gomes.

Finally,  CompSustNet Executive Council member co-authored  the AAAI-17 Outstanding Paper “Label-Free Supervision of Neural Networks with Physics and Domain Knowledge” by Russell Stewart and Stefano Ermon. The paper describes research on using constraints to reduce the need for labeled data when learning to recognize and track objects. While not a computational sustainability paper per se, it a line of research that has clear implications for computational sustainability.

 

A complete list of computational sustainability representation at AAAI and IAAI is broader than the CompSust special track, and relevant papers from AAAI, IAAI, and the AAAI-17 Workshop on AI+OR for the Social Good (appended at the end) are listed here as a convenience. This list includes CompSustNet members and collaborators too, highlighted in blue.

• AI Education through Real-World Problems by Mark Crowley 

• Poster 1475: Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise by Rebecca A. Hutchinson, Liqiang He, Sarah C. Emerson

• Poster 2250: Proper Proxy Scoring Rules by Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause

• Risk-Aware Planning: Methods and Case Study on Safe Driving Routes  by John Krumm, Eric Horvitz
• Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines  by Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno
• Determining Relative Airport Threats from News and Social Media  by Rupinder P. Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan

• Poster 2845: Extracting Urban Microclimates from Electricity Bills by Thuy Vu, D. S. Parker

• 1289: Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction Junbo Zhang, Yu Zheng, Dekang Qi

• Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery  by Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert B. van Dover, John Gregoire, Carla P. Gomes

• Panelists: Eric Horvitz, Peter Mockel, Lynne Parker, and Gideon Mann. Moderated by Milind Tambe.

• Matrix Factorisation for Scalable Energy Breakdown by Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse

• 3441: A Selected Summary of AI for Computational Sustainability by Douglas H. Fisher

• 788: On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systemsby Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann

• Poster 629: Combining Satellite Imagery and Open Data to Map Road Safety by Alameen Najjar, Shuníchi Kaneko, Yoshikazu Miyanaga
• Poster 573: Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data by Souhaib Ben Taieb, Jiafan Yu, Mateus Neves Barreto, Ram Rajagopal

• Crowdsensing Air Quality with Camera-Enabled Mobile Devices by Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung
• Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning by Negar Ghourchian, Michel Allegue-Martinez, Doina Precup
• ParkUs: A Novel Vehicle Parking Detection System by Pietro Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan

• 1751: Predicting Demographics of High-Resolution Geographies with Geotagged Tweets  by Omar Montasser, Daniel Kifer

• 353: POI2Vec: Geographical Latent Representation for Predicting Future Visitors by Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee

• Cracks Under Pressure? Burst Prediction in Water Networks Using Dynamic Metrics by Gollakota Kaushik, Abinaya Manimaran, Arunchandar Vasan, Venkatesh Sarangan, Anand Sivasubramaniam
• Optimal Sequential Drilling for Hydrocarbon Field Development Planning by Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro

• Poster 1556: General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis  by Colin Wei, Stefano Ermon

• Poster 2970: Hindsight Optimization for Hybrid State and Action MDPs by Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern

• Oral 1922: Fine-Grained Car Detection for Visual Census Estimation by Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei