You are here: / / Workshop

Insight on Visual Text Analytics for Technology and Innovation Management at OpenRheinMain Conference

/in , , , , , , /by

We get the opportunity to give some insights to “Visual Text Analytics for Technology and Innovation Management”, based on our core Trend Analytics technology Scitics, on the OpenRheinMain Conference. We want to give insights on how Visual Analytics techniques can be used to enable effective technology and innovation management on behalf of external/web data as well as internal/company data.

The OpenRheinMain (ORM 2019) is the 1st edition of an annual IT conference on open source and emerging digital technologies. This includes, but is not limited to, Open-Source, Intelligent Automation and DevOps, Cloud Computing, and Internet of Things. The purpose of the conference is to interlink researchers and industrial partner of the Rhein Main region. Therefore, the conference considers stakeholders from both in an appropriate proportion. The conference will take place on September 13th, 2019 at Darmstadt University of Applied Science.

Due to heterogeneity of the event participants, the chances are high to strengthen the cooperation with local enterprises. We expect, that this will be relevant for further research actions to strengthen  the local region.

The extended abstract of the presentation is available under: https://dx.doi.org/10.5281/zenodo.3408391
More information on the event website: https://www.openrheinmain.org

Attendance at #wissbar19

/in , /by

The research center DKMI organized this year’s #wissbar19 event between April 5th and 6th. On this two-day event the attendance discussed, brainstormed and challenged each other about a broad number of current relevant research topics.

As a theme barcamp, the #wissbar19 brought many interested parties from the media industry and the economy to the media campus in Dieburg. Researchers were networked with each other, and practitioners from different companies came by to share with colleagues from science. Media representatives not only discussed projects or calls for papers, but also exchanged ideas in the fields of digital communication and media innovation. There were sessions on methods and scientific work, creative workshops and sparring sessions in which models in development could be discussed and further spun. Key words in conversation were particularly “artificial intelligence”, “business analytics, “gamification”, “public relations” and “lifelong learning”.

A summary (in German) about the event can be found here: http://fzdkmi.h-da.de/2019/04/wissbar19-erfolgreiche-premiere-des-wissenschaftsbarcamps/

Global Strategic Alliance

/in , , , , , /by

Professor Nazemi represented the Research Group on Human-Computer Interaction and Visual Analytics at the first “Global Strategic Alliance” hosted by the Coventry University. The fruitful discussions on various topics led to new research networks and potential research topics. Attendees were from the Coventry University, Purdue University, Dublin Institute of Technology, University of Wisconsin Stout, Lucerne University of Applied Science and Darmstadt University of Applied Sciences. For impressions and discussions see here.

Where: Coventry University, UK
When: 22. and 23. October 2018

Lecturing within Workshop on User-oriented process (re)design and information systems modelling – a case of smart city services

/in , , , /by

In time from 18th to 19th of June 2018 the Faculty of Economics, Business and Tourism of the University of Split (Croatia) initiate a project workshop on “User-oriented process (re)design and information systems modelling – a case of smart city services”. The scientific community discusses about benefits and challenge in using modern technology in smart cities.

As lecturer Prof. Dr. Nazemi was invited to contribute about Data Mining and Visual Analytics in smart city administrations, among other, to consider citizens opinions and ideas in governance processes.

More information to the Project: http://smartcity.efst.hr

About | Imprint | Data Privacy

© 2022 Research Group on Human-Computer Interaction & Visual Analytics (vis) – Darmstadt University of Applied Sciences (h_da)