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Category Archive for 'VGI Group'

Am 16. und 17. August öffnet das Auswärtige Amt in Berlin die Tore für die Öffentlichkeit. An diesen Tagen kann nicht nur das Auswärtige Amt selbst besichtigt werden, verschiedene Diplomaten, Vertreter verschiedener Ministerien, Einrichtungen und Organisationen werden vor Ort sein, um aktuelle Projekte und Ideen vorzustellen.

In diesem Rahmen wird es auch einen „Humanitären Raum“ geben, [...]

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Our new paper on Machine Learning and Humanitarian Mapping
Nowadays, Machine Learning and Deep Learning approaches are steadily gaining popularity within the humanitarian (mapping) community. New tools such as the ML Enabler or the rapId editor might change the way crowdsourced data is produced in the future. Hence, at the Heidelberg Institute for Geoinformation Technology and [...]

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Recently a new paper about Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks (DNNs) has been presented at the AGILE GIScience conference 2019 in Cyprus.
Although built-up areas cover only a small proportion of the earth’s surface, these areas are closely tied to most of the world’s population and the economic output, which makes the [...]

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Todays data production, maintenance, and use have changed in the last years.  While these tasks were reserved to professionals until a few years ago, the situation has changed.  This is no different in the geographical domain. Volunteers gather general information in Wikipedia and geographical information in OpenStreetMap.  Twitter users provide not only text snippets but [...]

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Last week Dr. Clemens Jacobs successfully defended his PhD about methods for assessing the data quality of citizen science observations of organisms.
Congratulations, well done!!! We wish all the very best for the future!

The research aimed at using geographic context as an information source for estimating the plausibility of an observation, e.g., of a bird, which was [...]

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Introduction
Exploring how OpenStreetMap data developed over time across different administrative untis might reveal interesting insights into the self organizing approach of the OSM communities and can potentially be used to derive intrinsic data quality indicators. It might even be possible to estimate the completeness of OSM for a specific key-value combination as done by Barrington-Leigh [...]

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Mitmach-Exponate direkt aus der Forschung geben in der Ausstellung auf der MS Wissenschaft 2019 Einblicke in die Entwicklung und Anwendung Künstlicher Intelligenzen (KI). Die MS Wissenschaft startet ihre Tour am 16. Mai 2019 in Berlin und besucht Ende August auch Heidelberg.
Das Exponat „Mensch Maschine - Forschung im Team“ zeigt wie Trainingsdaten für KI-Algorithmen erstellt werden [...]

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Middle of May, Geneva becomes the gathering place for citizens, political leaders, government institutions, private sector, civil society, and scientific and technical institutions, that all jointly work towards a big objective - to manage disaster risk.
In line with the Sendai Framework, the conference is focusing on and strengthening the shift from the management of disasters [...]

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The Humanitarian OpenStreetMap Team (HOT) has launched an activation to support humanitarian operations responding to the impact of Cyclone Idai. These efforts were already supported by more than 1500 mappers of the global OpenStreetMap (OSM) community that contribute geodata about the affected regions in Mozambique and the surrounding countries.
The team at HeiGIT (Heidelberg Institute [...]

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We are always happy to support citizen science projects at the HeiGIT. HeiGIT/ GIScience efforts already range from tools that assess the data quality of citizen science projects (see, e.g., this blog post about “Plausible Parrots“) to approaches related to data creation, like MapSwipe Analytics (learn more here).
Currently, we are supporting citizen science approaches towards [...]

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