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Gerade beendete die MS Wissenschaft ihre Tour durch 31 Städte zwischen Berlin und Wien in diesem Wissenschaftsjahr zum Thema “Künstliche Intelligenz“.
85.000 Menschen – Schulklassen, Familien und Interessierte aller Altersklassen – besuchten die Ausstellung zum Thema lernende Computersysteme an Bord des Wissenschaftsschiffs.
Zu den Besonderheiten der Ausstellung zählten die zahlreiche Dialog- und Mitmachangebote an Bord.
Mit an Board [...]

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Today we celebrate the International Day for #DisasterRiskReduction. HeiGIT offers a growing set of tools and services that support humanitarian aid during and before disasters. Examples include work in the context of the Missing Maps initiative, like conceptualising and extending microtasking apps like MapSwipe, as well as services for analysing MapSwipe data and making it [...]

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In 2015, MapSwipe began as a solution to a complex question: how do we better identify where communities and populations are, allowing mapping to be more efficient and effective?
Using a simple mobile app, volunteers are able to swipe through a series of satellite images, tapping in areas where they find features. MapSwipe can be used [...]

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This year the bi-annual German Congress for Geography was held in Kiel in northern Germany. The conference is the main platform for German speaking researchers to exchange recent research results in the field of geography. Besides this, a growing number of events are being organized by students and “young” geographers as part of the “Youth [...]

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Seit einiger Zeit findet sich das gemeinsame Exponat des HeiGIT und des Alfred-Wegener-Instituts Helmholtz-Zentrum für Polar- und Meeresforschung für die Ausstellung “Künstliche Intelligenz” auf der “MS Wissenschaft” auch auf dem Webportal zum Wissenschaftsjahr 2019.
Das Thema “Künstliche Intelligenz” des Wissenschaftjahres 2019 wird dabei an zwei Beispielen aufgegriffen. Diese zeigen wie jedermann durch das Erzeugen von Trainingsdaten [...]

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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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Global Platform 2019 in Geneva

Creating maps helps humanity. Drawing maps together with communities is crucial for effective risk reduction interventions, ensuring no one is left behind.
The progress of the implementation of the targets set by the Sendai Framework for Disaster Risk Reduction (DRR) have been key discussion points during this years Global Platform in Geneva. [...]

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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) , the Heidelberg Institute of Geoinformation Technology (HeiGIT) , and the wider MapSwipe Community started working on an MapSwipe extension to monitor changes in satellite imagery. The goal of the two-month project is to extend the app with new functionalities that would allow the users to compare two satellite images [...]

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