AI For Global Climate Cooperation 2023 Competition Proceedings

no code implementations • 10 Jul 2023 • Yoshua Bengio, Prateek Gupta, Lu Li, Soham Phade, Sunil Srinivasa, Andrew Williams, Tianyu Zhang, Yang Zhang, Stephan Zheng

On the other hand, an interdisciplinary panel of human experts in law, policy, sociology, economics and environmental science, evaluated the solutions qualitatively.

Decision Making Ethics +1

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

1 code implementation • 10 Sep 2022 • Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne-Davies, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya B. Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew Williams, Xingman A. Zhang, Joshua C. Denny, Peter N. Robinson, Patrick Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn

Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping.

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

2 code implementations • 15 Aug 2022 • Tianyu Zhang, Andrew Williams, Soham Phade, Sunil Srinivasa, Yang Zhang, Prateek Gupta, Yoshua Bengio, Stephan Zheng

To facilitate this research, here we introduce RICE-N, a multi-region integrated assessment model that simulates the global climate and economy, and which can be used to design and evaluate the strategic outcomes for different negotiation and agreement frameworks.

Ethics Multi-agent Reinforcement Learning

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)

no code implementations • 20 Oct 2021 • Sijia Liu, Andrew Wen, LiWei Wang, Huan He, Sunyang Fu, Robert Miller, Andrew Williams, Daniel Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-el-rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S Hong, Joel H Saltz, Thomas Schaffter, Emily Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu, Natural Language Processing, Subgroup, National COVID Cohort Collaborative

Although we use COVID-19 as a use case in this effort, our framework is general enough to be applied to other domains of interest in clinical NLP.

Benchmarking

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

no code implementations • 30 Oct 2020 • Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio

The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) methods have emerged as a component of the solution.

Virology

Predicting Infectiousness for Proactive Contact Tracing

1 code implementation • ICLR 2021 • Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams

Predictions are used to provide personalized recommendations to the individual via an app, as well as to send anonymized messages to the individual's contacts, who use this information to better predict their own infectiousness, an approach we call proactive contact tracing (PCT).

GaLactic and Extragalactic All-sky Murchison Widefield Array (GLEAM) survey I: A low-frequency extragalactic catalogue

no code implementations • 26 Oct 2016 • Natasha Hurley-Walker, Joseph R. Callingham, Paul J. Hancock, Thomas M. O. Franzen, Luke Hindson, Anna D. Kapinska, John Morgan, Andre R. Offringa, Randall B. Wayth, Chen Wu, Q. Zheng, Tara Murphy, Martin E. Bell, K. S. Dwarakanath, Bi-Qing For, Bryan M. Gaensler, Melanie Johnston-Hollitt, Emil Lenc, Pietro Procopio, Lister Staveley-Smith, Ron Ekers, Judd D. Bowman, Frank Briggs, R. J. Cappallo, Avinash A. Deshpande, Lincoln Greenhill, Brynah J. Hazelton, David L. Kaplan, Colin J. Lonsdale, S. R. McWhirter, Daniel A. Mitchell, Miguel F. Morales, Edward Morgan, Divya Oberoi, Stephen M. Ord, T. Prabu, N. Udaya Shankar, K. S. Srivani, Ravi Subrahmanyan, Steven J. Tingay, Rachel L. Webster, Andrew Williams, Christopher L. Williams

Using the Murchison Widefield Array (MWA), the low-frequency Square Kilometre Array (SKA1 LOW) precursor located in Western Australia, we have completed the GaLactic and Extragalactic All-sky MWA (GLEAM) survey, and present the resulting extragalactic catalogue, utilising the first year of observations.

Astrophysics of Galaxies

Fast Holographic Deconvolution: a new technique for precision radio interferometry

2 code implementations • 7 Sep 2012 • Ian Sullivan, Miguel Morales, Bryna Hazelton, Wayne Arcus, David Barnes, Gianni Bernardi, Frank Briggs, Judd D. Bowman, John Bunton, Roger Cappallo, Brian Corey, Avinash Deshpande, Ludi deSouza, David Emrich, B. M. Gaensler, Robert Goeke, Lincoln Greenhill, David Herne, Jacqueline Hewitt, Melanie Johnston-Hollitt, David Kaplan, Justin Kasper, Barton Kincaid, Ronald Koenig, Eric Kratzenberg, Colin Lonsdale, Mervyn Lynch, Russell McWhirter, Daniel Mitchell, Edward Morgan, Divya Oberoi, Stephen Ord, Joseph Pathikulangara, Thiagaraj Prabu, Ron Remillard, Alan Rogers, Anish Roshi, Joseph Salah, Robert Sault, Udaya Shankar, K. Srivani, Jamie Stevens, Ravi Subrahmanyan, Steven Tingay, Randall Wayth, Mark Waterson, Rachel Webster, Alan Whitney, Andrew Williams, Chris Williams, Stuart Wyithe

We introduce the Fast Holographic Deconvolution method for analyzing interferometric radio data.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics