User:Jwagemann

Julia Wagemann
{| class="wikitable" I run tutorials and workshops, mainly on the interactive analysis of large volumes of Earth data, with open-source geospatial technologies and Jupyter notebooks, Python and R. I like to engage with data users and the geospatial data community. I run I was one of the main organisers of the OpenDataWeek @ECMWF in 2017. Currently, I am coordinating the online coding programme ECMWF Summer of Weather Code, which promotes the development of weather-related open-source software.
 * Job title || Geospatial data consultant, PhD candidate / Visiting Scientist
 * Company || Julia Wagemann Consulting, University of Marburg / ECMWF
 * City || Rome
 * Email || wagemann.julia@gmx.de
 * Website || jwagemann.github.io
 * Personal description || I am a geospatial data and systems expert, currently on a mission to make climate and meteorological data better accessible. I am very passionate about making open Earth data better accessible and moving away from pure download services to more on-demand cloud-based data services. My research focuses on how user-friendly, scalable data services can be set up based on cloud services and Big Data technologies.
 * Email || wagemann.julia@gmx.de
 * Website || jwagemann.github.io
 * Personal description || I am a geospatial data and systems expert, currently on a mission to make climate and meteorological data better accessible. I am very passionate about making open Earth data better accessible and moving away from pure download services to more on-demand cloud-based data services. My research focuses on how user-friendly, scalable data services can be set up based on cloud services and Big Data technologies.
 * Personal description || I am a geospatial data and systems expert, currently on a mission to make climate and meteorological data better accessible. I am very passionate about making open Earth data better accessible and moving away from pure download services to more on-demand cloud-based data services. My research focuses on how user-friendly, scalable data services can be set up based on cloud services and Big Data technologies.
 * Personal description || I am a geospatial data and systems expert, currently on a mission to make climate and meteorological data better accessible. I am very passionate about making open Earth data better accessible and moving away from pure download services to more on-demand cloud-based data services. My research focuses on how user-friendly, scalable data services can be set up based on cloud services and Big Data technologies.