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10/05/2022
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness
In this work we present a framework which may transform research and pra...
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10/04/2022
A Collaborative Approach to the Analysis of the COVID-19 Response in Africa
The COVID-19 crisis has emphasized the need for scientific methods such ...
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04/12/2022
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models
As acute climate change impacts weather and climate variability, there i...
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03/01/2022
Deep Temporal Interpolation of Radar-based Precipitation
When providing the boundary conditions for hydrological flood models and...
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03/01/2021
Narratives and Counternarratives on Data Sharing in Africa
As machine learning and data science applications grow ever more prevale...
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10/25/2018
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
Policy decisions are increasingly dependent on the outcomes of simulatio...
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09/22/2018
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach
Large-scale computational experiments, often running over weeks and over...
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05/06/2018
Reshaping the use of digital tools to fight malaria
In this extended abstract we present our approach to marshal digital too...
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12/16/2017
Assessing virtualization effects in simulations of distributed robotics
In this work, our aim is to identify whether the choice of virtualizatio...
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12/08/2017
Characterizing the hyper-parameter space of LSTM language models for mixed context applications
Applying state of the art deep learning models to novel real world datas...
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12/01/2017
Novel Exploration Techniques (NETs) for Malaria Policy Interventions
The task of decision-making under uncertainty is daunting, especially fo...
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08/27/2015