[Sigmetrics] Impact School: Science Transfer in the 21st century, 29 November - 1 December, Berlin

Isabella Peters ipe at informatik.uni-kiel.de
Sat Aug 12 04:22:28 EDT 2017


***apologies for crossposting***

 

Dear colleagues,

the Leibniz Research Alliance Science 2.0 invites you to apply for our
„Impact School: Science Transfer in the 21st century“. The impact school is
a three-days training programme tailored to up-and-coming researchers that
want to learn the skills to maximize their research impact. It responds to
the development that in times of digitization, ever-shorter innovation
cycles, and increasing doubt in the scientific authority, the question
appears what scientist can do to foster knowledge transfer und thus to
increase the impact of their research. The sessions will be held by experts
in their respective fields and cover the three dimensions societal impact,
economic impact, and political impact.

 

The impact school takes place from 29 November to 1 December 2017 at the
Alexander von Humboldt Institute for Internet and Society in Berlin. It is
organised by mStats DS GmbH, the Alexander von Humboldt Institute for
Internet and Society, the German Institute for Economic Research (DIW), and
the ZBW - Leibniz Information Centre for Economics.

 

Further information for application can be found in the attached PDF or on
our website: http://www.leibniz-science20.de/impactschool/ 

 

The deadline for the application is 30 September 2017.

 

Please share this in your network.

 

Best regards ,

Isabella Peters

 

***

Prof. Dr. Isabella Peters

Professor of Web Science

 

Kiel University (CAU Kiel)

Institute for Computer Science

Department Web Science (R. 506)

Hermann-Rodewald-Str. 3

D-24118 Kiel 

T: +49 431 880-7286

E: ipe at informatik.uni-kiel.de

Web:  <http://www.ws.informatik.uni-kiel.de/en/research>
http://www.ws.informatik.uni-kiel.de/en/research  

 

ZBW Leibniz Information Center for Economics 

Düsternbrooker Weg 120

D-24105 Kiel

T: +49-431-8814-623

E: i.peters at zbw.eu

Web: http://www.zbw.eu/en/research/web-science

 

 

 

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