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PEOPLE@HES-SO – Annuaire et Répertoire des compétences
PEOPLE@HES-SO – Annuaire et Répertoire des compétences

PEOPLE@HES-SO
Annuaire et Répertoire des compétences

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Oulevay Simon

Oulevay Simon

Chargé de cours

Compétences principales

Programmation

Développement web

Administration système

Version control software (Git)

Docker

Cloud Computing

Tests automatisés

  • Contact

  • Enseignement

  • Conférences

Contrat principal

Chargé de cours

Bureau: S204

Haute école d'Ingénierie et de Gestion du Canton de Vaud
Route de Cheseaux 1, 1400 Yverdon-les-Bains, CH
HEIG-VD
BSc HES-SO en Ingénierie des médias - Haute école d'Ingénierie et de Gestion du Canton de Vaud
  • Architecture et déploiement
  • Architecture orientée web

2019

Auto-filtering validation in citizen science biodiversity monitoring :
Conférence ArODES
a case study

Maryam Lotfian, Jens Ingensand, Olivier Ertz, Simon Oulevay, Thibaud Chassin

Proceedings of the ICA ; Proceedings of 29th International Cartographic Conference (ICC 2019), 15–20 July 2019, Tokyo, Japan

Lien vers la conférence

Résumé:

Data quality is the primary concern for researchers working on citizen science projects. The collected data by citizen science participants are heterogeneous and therefore must be validated. There are several validation approaches depending on the theme and objective of the citizen science project, but the most common approach is the expert review. While expert validation is essential in citizen science projects, considering it as the only validation approach can be very difficult and complicated for the experts. In addition, volunteers can get demotivated to contribute if they do not receive any feedback regarding their submissions. This project aims at introducing an automatic filtering mechanism for a biodiversity citizen science project. The goals of this project are to first use an available historical database of the local species to filter out the unusual ones, and second to use machine learning and image recognition techniques to verify if the observation image corresponds with the right species type. The submissions that does not successfully pass the automatic filtering will be flagged as unusual and goes through expert review. The objective is on the one hand to simplify validation task by the experts, and on the other hand to increase participants’ motivation by giving them real-time feedback on their submissions. Finally, the flagged observations will be classified as valid, valid but uncommon, and invalid, and the observation outliers (rare species) can be identified for each specific region.

2018

Participants’ motivations to contribute to biodiversity citizen science projects
Conférence ArODES

Lotfian Maryam, Jens Ingensand, Olivier Ertz, Sarah Composto, Mathias Oberson, Simon Oulevay, David Campisi, Florin Joerin

Proceedings of the Open Source Geospatial Research and Education Symposium (OGRS2018), Lugano. Switzerland, 9-11 October 2018

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Résumé:

The public participation in scientific projects (citizen science) is significantly increasing specially with technology developments in recent years. Volunteers play an essential role in citizen science projects, therefore understanding their motivations, and understanding how to sustain them to keep contributing to the project are of utmost importance. This paper presents the analysis of volunteers’ characteristics and their motivations to contribute to a citizen science project, which aims at encouraging citizens to take action for biodiversity. The results from the online survey illustrate that people are more motivated by intrinsic nature-related motives rather than extrinsic motivations.

Augmented reality technologies for biodiversity education :
Conférence ArODES
a case study

Jens Ingensand, Maryam Lotfian, Olivier Ertz, David Piot, Sarah Composto, Mathias Oberson, Simon Oulevay, Mélanie Da Cunha

Proceedings of the 21st Conference on Geo-information science, AGILE 2018, Lund 12-15 June, Sweden

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Résumé:

Mobile technology is developing fast in recent years, and the price of mobile devices is dropping and becoming affordable for the majority of people. As a result, the use of smartphones and tablets is increasing at a rapid rate, even among children. Nowadays, in many countries, smartphones are being used at school as advanced teaching tools to motivate children to learn better. One of the recent examples is the utilization of Augmented Reality mobile applications for educational purposes. This paper is presenting an AR mobile application, which is encouraging children to learn about biodiversity. The application was evaluated during a field trip with 15 pupils of around 10 years of age, and the results illustrate the behavior of the pupils using the application, and the potential of the app to create a connection between the students and the nature. Moreover, analyzing the time the pupils spent on the application demonstrates a motivation among the pupils to find out about various species through a combination of an outdoor activity and a mobile application.

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