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Apollo SIGNED

Apollo: developing a powerful and easy to use platform for choice model estimation and application with full user-customisation

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "Apollo" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF LEEDS 

Organization address
address: WOODHOUSE LANE
city: LEEDS
postcode: LS2 9JT
website: www.leeds.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 0 €
 EC max contribution 150˙000 € (0%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-PoC
 Funding Scheme ERC-POC-LS
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2021-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF LEEDS UK (LEEDS) coordinator 150˙000.00

Map

 Project objective

Mathematical models of human decision making are a widely used tool for advising policy makers and industry by making predictions of future demand for products and services. The reliability of the predictions depends on the robustness of the underlying mathematical models. A very active field of academic research is concerned with the refinement of existing model structures and the development of new approaches. Over the last two decades, fuelled by the availability of ever more powerful computing resources, there has been a major step change in the mathematical complexity of these models. However, the vast majority of real world users of choice models, and also many academic users, lack a programming background. This means that most users are restricted to those models which are covered in existing software, and models developed by analysts who lack programming skills fail to be used in practice. A core output from the ERC-CoG grant DECISIONS (615596) has been the development of the Apollo package. Apollo is a powerful open source solution for the estimation and application of choice models. The current PoC proposal seeks to fully explore the innovative research that led to the development of Apollo and to take the first steps in establishing Apollo as a next generation tool for choice modelling, with full customisation possibilities including for inexperienced users. We propose to make changes to the existing implementation of Apollo to provide users with an easy to use template for developing code and to create a system for testing user-developed functions for new models, standardise the code used in them, and incorporate them in releases of new versions of Apollo to make them available to other users. In addition, we propose to introduce a pay-to-program service where users can pay to have new features developed. These features will be released to all users after an embargo period during which they are limited to the user who paid for their development.

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The information about "APOLLO" are provided by the European Opendata Portal: CORDIS opendata.

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