Not if, but how
© mauritius images / Masterfile / Science Faction

Social Impact DataThon at Munich Re

from 23th to 25th November 2018 in Munich

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The corporate group consists of the reinsurance and ERGO business segments, together with the capital investment company, MEAG. The Group operates in all lines of insurance. Ever since it was founded in 1880, Munich Re has been known for its unrivalled risk-related expertise and its particularly sound financial position. It also offers its clients financial protection when faced with extraordinarily high levels of damage – from the 1906 earthquake in San Francisco right through to the series of Atlantic hurricanes that occurred in 2017. Munich Re possesses outstanding innovative strength, which enables it to also provide cover for extraordinary risks such as rocket launches, renewable energies, cyber attacks or pandemics. The company is playing a key role in driving forward the digital transformation within its industry and in doing so is increasing its ability to assess risks and expanding upon the range of services that it offers. Its tailor-made solutions and close proximity to its clients make Munich Re one of the world’s most sought-after risk partners for the economy, institutions and private individuals.

Identifying and managing famine risks more effectively with AI

How can AI and Big Data help to record food crises and the life-threatening malnutrition in children that can then arise in some areas of the world? Everything will revolve around this issue at the Social Impact DataThon, which Munich Re, Welthungerhilfe , Microsoft and Social Impact Partners (SIP) are jointly organising.

Background: Welthungerhilfe, one of the largest private aid organisations in Germany, has developed a mobile app that allows the body measurements of children in famine areas to be collected quickly and accurately. To do this, the app converts image data into 3D point clouds – with up to 40,000 points per body. The aim is to calculate anthropometric values such as body size, weight etc. from these point clouds, thereby enabling large-scale analysis. This would make it possible to analyse the supply situation in famine areas and the success of aid projects more accurately, quickly and cost-effectively than before. Munich Re supports the Child Growth Monitor with data knowledge, the long experience in risk transfer concepts and innovative funding models.

The challenge for data scientists? They have 48 hours in which to work in a team to develop intelligent algorithms and data management systems that can exploit the potential of 3D point clouds for the work of relief organisations. The DataThon offers unique conditions for this. The teams can work with the 3D point clouds of 10,000 children, the cloud power of Microsoft Azure, leading data analytics tools, and Munich Re’s risk databases.

Interested to view some impressions of our DataThon 2017? Click the video-link.

Impressions of our DataThon 2017

You’re a data scientist and have been waiting for just such an opportunity? Then apply now to take part.


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