A Highly Scalable Infrastructure for Policy Optimization Based on Open Data

lterrat's bookmarks 2017-04-26

Summary:

"This project consists of the research, design, and implementation of a scalable, parallelizable, system of data extraction and processing, on a cloud-based platform. This project is inspired by the trend of open data, published by institutions, often governmental, without usage restrictions, such as copyright. The software presented here tackles the problem of using large volumes of data from heterogeneous sources to run computational models. The idea behind this project was conceived in the context of Impact Futures, an international project proposal coordinated by SIMBioSys, a research group at Universitat Pompeu Fabra. Impact Futures aims to use data, models, and simulations to explore the world’s possible futures, in order to better understand the effects of our policies. For designing and exploring models, we turn to an emerging paradigm, known as Agent-Based Modelling (ABM), in which large numbers of autonomous agents interact with each other and the world to produce emergent behaviours found on complex, real world systems. To achieve this, we use Pandora, a software developed at the Barcelona Supercomputing Centre. The system is structured as a software pipeline, consisting of four stages: (a) data acquisition, (b) data processing, (c) model execution and optimization, and (d) presentation of results. We present a workflow that utilizes all of the software in the pipeline, based on open data on the hospitals of Catalonia, and an epidemiological model that we implement in ABM."

Link:

https://repositori.upf.edu/handle/10230/30902

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Open Access Tracking Project (OATP) » lterrat's bookmarks

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Date tagged:

04/26/2017, 22:35

Date published:

04/26/2017, 18:35