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Research Day 2019 of the Hessian Universities of Applied Sciences (HAW)

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October 29th was an important day for researchers in the applied research domain in Hesse, since they stayed in focus at the the Research Day 2019 of the Hessian Universities of Applied Sciences (HAW). On this day the spotlight of the he Hessen State Ministry for Higher Education, Research and the Arts layed on current results and achievements of researchers. Next to several awards for research results, it was also a great opportunity to show results and use the chance for networking.

Our team was invited to attend the event and presented ongoing results toward Advanced Visual Analytical Reasoning for Technology and Innovation Management, particularly the progress of the Hessen funded research project AVARTIM. As brief overview to the Visual Trend Analytics and Visual Business Analytics topic, we provided a poster with the summary of our current insights, which led to a variety of interesting discussions and new contacts for promising further collaboration actions – among other also for our planned European research network.

We really enjoyed the event and the opportunity to get connected with other Hessian researchers and look forward for some further collaborative actions – and, of course, the next Research Day of the Hessian Universities of Applied Sciences (HAW).

Paper accepted at 14th International Symposium on Visual Computing (ISVC 2019)

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Our paper entitled “A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management” is accepted at the visual computing conference ISVC 2019 in Lake Tahoe, NV, USA. The purpose of the International Symposium on Visual Computing (ISVC) is to provide a first-class forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in visual computing. ISVC seeks papers describing contributions to the state of the art and state of the practice in the four central areas of visual computing: computer vision, computer graphics, virtual reality, and visualization. The paper reflects some new on-going advancements of our innovative Trend Analytics solution Scitics.

Paper: A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management

Abstract:
Visual Analytics provides with a combination of automated techniques and interactive visualizations huge analytics possibilities in technology and innovation management. Thereby not only the use of machine learning data mining methods plays an important role. Due to the high interaction capabilities, it provides a more user-centered approach, where users are able to manipulate the entire analysis process and get the most valuable information. Existing Visual Analytics systems for Trend Analytics and technology and innovation management do not really make use of this unique feature and do not include the human in the analysis process. Outcomes from research on information search, information visualization and technology management can lead to more sophisticated Visual Analytics systems that involved the human in the entire analysis process. We propose in this paper a new interaction approach for Visual Analytics in technology and innovation management with a special focus on technological trend analytics.

Link to paper/fulltext: https://dx.doi.org/10.1007/978-3-030-33723-0_23
Link to poster: https://dx.doi.org/10.5281/zenodo.3473065

More information about the technology: Scitics for Visual Trend Analytics

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

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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

Events

Research Day 2019 of the Hessian Universities of Applied Sciences (HAW)

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On 29 October, the focus will be on research at the HAWs in Hesse: within the framework of the Research Day 2019, the research awards will be presented to HAW Hessen. To the agenda: After the welcome by President Prof. dr. Frank E.P. Dievernich speaks to Secretary of State Ayse Asar (HMWK). Prof. Dr. Dr. h.c. Volker Mosbrugger (Senckenberg Society for Natural Research, Polytechnic Society Frankfurt am Main) gives the keynote address on the topic “Science in transition – the new challenges”. Subsequently, the festive award ceremony takes place. After the break, scientists from the Frankfurt UAS present their research projects in the entertaining Pecha Kucha format. The event concludes with a panel discussion under the motto “Vision, Success, Appreciation – Applied Research Makes People Happy”. In addition, in the form of a poster exhibition “Research for the practice – 10 years of research campaign by HAW Hessen and HMWK” projects from ten years of research funding for the Hessian HAW are presented. We were invited to join to event as an active research contributor. We are going to present our latest results the Hessian funded research project AVARTIM toward Advanced Visual Analytical Reasoning for Technology and Innovation Management (please also note our summary poster) .

14th International Symposium on Visual Computing (ISVC 2019)

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We are attending the 14th International Symposium on Visual Computing (ISVC 2019) and presenting our accepted paper titled “A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management”. More information about our paper and the conference you will find in the news. The program is available on the conference website

Thesis Presentation: Contrasted Data from Science and Web for Advanced Visual Trend Analytics

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Where: TU Darmstadt / GRIS, Fraunhoferstr. 5, Room 073 Who: Rehman Ahmed Abdul (Author), Prof. Dr. Arjan Kuijper (Supervisor), Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor) What: Master Thesis – “Contrasted Data from Science and Web for Advanced Visual Trend Analytics” Abstract: With more publicly accessible digital libraries accessible, a plethora of digital research data is now available for gaining insights into actual and upcoming technology trends. These trends are essential to researchers, business analysts, and decision-makers for making strategic decisions and setting strategic goals. Appropriate processing and graphical analysis methods are required in order to extract meaningful information from the data. In particular, the combination of data mining approaches together with visual analytics leads to real beneficial applications to support decision making in e.g. innovation or technology management. The data from digital libraries is only limited to research and overlooks the market aspects e.g if the trend is not important for key business players, it is irrelevant for the market. This importance of market aspects creates a demand for validation approaches based on market data. Most of the current market data can be found publically on websites and social networks, e.g. as news from enterprises or on tech review sites or on tech blogs. Therefore, it makes sense to consider this public and social media data as contrasting data to the research digital library data that can be used to validate technology trends. The goal of this thesis is to enable trend analysis on public and social web data and compare it with retrieved trends based on research library data to enable validation of trends. To achieve this goal a model is proposed that acquires public/social web and digital library data based on user-defined scope called a “campaign”, which is then visually transformed from raw data into interactive visualizations passing through different stages of data management, enrichment, transformation, and visual mapping. These interactive visualizations can either be used in insight analysis to gain trend insights for an individual data source or they can be used in comparative analysis with the goal of validating trends from two contrasting data sources.

OpenRheinMain Conference 2019

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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 to interlink researchers and industrial partner of the Rhein Main region. Therefore, the conference considers stakeholders from both in an appropriate proportion. At the conference we will present our insights to “Visual Text Analytics for Technology and Innovation Management”.

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