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PRODID:-//Human-Computer Interaction &amp; Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da) - ECPv6.15.14//NONSGML v1.0//EN
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X-WR-CALNAME:Human-Computer Interaction &amp; Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
X-ORIGINAL-URL:https://vis.h-da.de
X-WR-CALDESC:Events for Human-Computer Interaction &amp; Visual Analytics Reasearch Department (vis) at Darmstadt University of Applied Sciences (h_da)
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BEGIN:VTIMEZONE
TZID:Europe/Berlin
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DTSTART:20180325T010000
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DTSTART:20190331T010000
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DTSTART:20191027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191126T140000
DTEND;TZID=Europe/Berlin:20191126T180000
DTSTAMP:20260405T155213
CREATED:20190916T214007Z
LAST-MODIFIED:20220825T092821Z
UID:5940-1574776800-1574791200@vis.h-da.de
SUMMARY:Research Day 2019 at h_da
DESCRIPTION:The “Research Day” (German original title: “Tag der Forschung”) was first held back in 2002\, establishing a tradition\, where every year in November\, news about current research activities were shown and the time for networking and discussion is given. The annual Research Day has a special significance for the Darmstadt University of Applied Sciences. It is aimed at university members\, company representatives\, institutions in the region and the interested public. Exciting lectures and discussions on current research activities at the university and the awarding of the science prize are part of the program. \nThis year’s Research Day is themed Digitalization and Sustainable Development.
URL:https://vis.h-da.de/events/research-day-2019-at-h_da
LOCATION:h_da\, B15\, Stephanstraße 7\, Darmstadt\, Darmstadt\, 64295
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/09/Tag_der_Forschung.jpg
ORGANIZER;CN="h_da":MAILTO:info@h-da.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191029T140000
DTEND;TZID=Europe/Berlin:20191029T183000
DTSTAMP:20260405T155213
CREATED:20191024T061208Z
LAST-MODIFIED:20220825T092828Z
UID:6339-1572357600-1572373800@vis.h-da.de
SUMMARY:Research Day 2019 of the Hessian Universities of Applied Sciences (HAW)
DESCRIPTION: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. \nTo 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.\nAfter 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”.\nIn 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. \nWe 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) .
URL:https://vis.h-da.de/events/research-day-2019-of-the-hessian-universities-of-applied-sciences-haw
LOCATION:Frankfurt UAS\, Nieblungenplatz 1\, Frankfurt am Main\, Hesse\, 60318\, Germany
CATEGORIES:AVARTIM,Event,Projects,Scitics
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/10/industry-industry4-web-network.jpg
ORGANIZER;CN="Frankfurt UAS":MAILTO:post@fra-uas.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191007T090000
DTEND;TZID=Europe/Berlin:20191007T190000
DTSTAMP:20260405T155213
CREATED:20191007T084151Z
LAST-MODIFIED:20220825T092834Z
UID:6104-1570438800-1570474800@vis.h-da.de
SUMMARY:WissDok 2019
DESCRIPTION:WissDok is an annual event for scientific and media documentation of public media organizations. The event focuses on the pragmatic-current edge of technical\, organizational and scientific development in the documentation in its role as an incarnation of information science. The invited speakers deliver an annual update on the current development of various dimensions in this professional field in approximately 2-hour sessions. The event is part of the wissDok program and an offer to the specialist with opportunity for discussion. \nThe symposium at the Mediencampus is part of the wissDok program and an offer to the specialist public with opportunity for discussion. At the symposium our team will give a talk about Artificial Intelligence and Data Analytics.
URL:https://vis.h-da.de/events/wissdok-2019
LOCATION:h_da\, Dieburg\, Germany\, Max-Planck-Straße 2\, Dieburg\, Hesse\, 64807\, Germany
CATEGORIES:Symposium,Workshop
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/10/2019_WissDok-Program.jpg
ORGANIZER;CN="h_da":MAILTO:info@h-da.de
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191007
DTEND;VALUE=DATE:20191010
DTSTAMP:20260405T155213
CREATED:20190826T085009Z
LAST-MODIFIED:20220825T092843Z
UID:5605-1570406400-1570665599@vis.h-da.de
SUMMARY:14th International Symposium on Visual Computing (ISVC 2019)
DESCRIPTION: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”. \nMore information about our paper and the conference you will find in the news. The program is available on the conference website
URL:https://vis.h-da.de/events/14th-international-symposium-on-visual-computing-isvc-2019
LOCATION:Harrah’s Hotel & Casino\, 15 US-50\, Stateline\, Lake Tahoe\, NV\, 89449\, United States
CATEGORIES:Conference,Scitics
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/08/2019ISVC-conference.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190918
DTEND;VALUE=DATE:20190921
DTSTAMP:20260405T155213
CREATED:20190624T180108Z
LAST-MODIFIED:20220825T092850Z
UID:4844-1568764800-1569023999@vis.h-da.de
SUMMARY:Virtual and Augmented Reality in Education (VARE 2019) Conference
DESCRIPTION:We are attending this year’s Virtual and Augmented Reality in Education conference (VARE 2019) and presenting our accepted paper titled “A Mobile Visual Analytics Approach for Instant Trend Analysis in Mobile Contexts”. \nMore information about our paper and the conference you will find in the news. Also note the conference program.
URL:https://vis.h-da.de/events/virtual-and-augmented-reality-in-education-vare-2019-conference
LOCATION:Altis Grand Hotel\, Rua Castilho 13A\, Lisbon\, 1269-072\, Portugal
CATEGORIES:Conference,Research
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/08/i3m-VARE.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190913
DTEND;VALUE=DATE:20190914
DTSTAMP:20260405T155213
CREATED:20190806T100518Z
LAST-MODIFIED:20220825T092937Z
UID:5262-1568332800-1568419199@vis.h-da.de
SUMMARY:OpenRheinMain Conference 2019
DESCRIPTION: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. \nThe 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. \nAt the conference we will present our insights to “Visual Text Analytics for Technology and Innovation Management”.
URL:https://vis.h-da.de/events/openrheinmain-conference-2019
LOCATION:h_da\, Darmstadt\, Germany\, Schöfferstraße 3\, Darmstadt\, 64295\, Germany
CATEGORIES:Business,Conference,Conference,Research,Workshop
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/08/2019_OpenRheinMainConference.png
ORGANIZER;CN="h_da - ORM":MAILTO:info@openrheinmain.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190911T150000
DTEND;TZID=Europe/Berlin:20190911T180000
DTSTAMP:20260405T155213
CREATED:20190902T075237Z
LAST-MODIFIED:20220825T092944Z
UID:5925-1568214000-1568224800@vis.h-da.de
SUMMARY:Pre-Conference Workshop "Automated data analysis as a tool of TIE research"
DESCRIPTION:This year we get the opportunity to give a keynote speech at the pre-conference workshop on “Automated data analysis as a tool of TIE research” (original German title: “Automated Datenanalyse als Werkzeug der TIE Forschung”). The talk will be about “Visual Analytics for early technology detection”. \nThe TIE conference has always had a permanent place in the calendar of leading German and German-speaking scientists in the fields of technology and innovation management as well as entrepreneurship.
URL:https://vis.h-da.de/events/pre-conference-workshop-automated-data-analysis-as-a-tool-of-tie-research
LOCATION:HUB31\, Darmstadt\, Hilpertstraße 31\, Darmstadt\, Hesse\, 64295\, Germany
CATEGORIES:Scitics,Workshop,Workshop
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2019/09/2019tie-conference.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190826T153000
DTEND;TZID=Europe/Berlin:20190826T160000
DTSTAMP:20260405T155213
CREATED:20190816T013124Z
LAST-MODIFIED:20211215T033312Z
UID:5463-1566833400-1566835200@vis.h-da.de
SUMMARY:Thesis Presentation: Contrasted Data from Science and Web for Advanced Visual Trend Analytics
DESCRIPTION:Where: TU Darmstadt / GRIS\, Fraunhoferstr. 5\, Room 073\nWho: Rehman Ahmed Abdul (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Contrasted Data from Science and Web for Advanced Visual Trend Analytics” \nAbstract: \nWith 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.\nThe 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.\nThe 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.
URL:https://vis.h-da.de/events/thesis-presentation-contrasted-data-from-science-and-web-for-advanced-visual-trend-analytics
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/08/Teaching.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190826T150000
DTEND;TZID=Europe/Berlin:20190826T153000
DTSTAMP:20260405T155213
CREATED:20190816T011146Z
LAST-MODIFIED:20211215T033334Z
UID:5454-1566831600-1566833400@vis.h-da.de
SUMMARY:Thesis Presentation: Visual Trend Analysis on Condensed Expert Data beside Research Library Data for Enhanced Insights
DESCRIPTION:Where: TU Darmstadt / GRIS\, Fraunhoferstr. 5\, Room 073\nWho: Muhammad Ali Riaz (Author)\, Prof. Dr. Arjan Kuijper (Supervisor)\, Dipl.-Inf. Dirk Burkhardt (Advisor/Co-Supervisor)\nWhat: Master Thesis – “Visual Trend Analysis on Condensed Expert Data beside Research Library Data for Enhanced Insights” \nAbstract: \nIn the present age of information\, we live amidst seas of digital text documents including academic publications\, white papers\, news articles\, patents\, newspapers. To tackle the issue of the ever-increasing amount of text documents\, researchers from the field of text mining and information visualization have developed tools and techniques to facilitate text analysis. In the context of visual trend analysis on text data\, the use of well-structured patent data and public digital libraries are quite established. However\, both sources of information have their limitations. For instance\, the registration process for patents takes at least one year\, which makes the extracted insights not suitable to research on present scenarios. In contrast to patent data\, the digital libraries are up-to-date but provide high-level insights\, only limited to broader research domains\, and the data usage is almost restricted on meta information\, such as title\, author names and abstract\, and they do not provide full text.\nFor a certain type of detailed analysis such as competitor analysis or portfolio analysis\, data from digital libraries is not enough\, it would also make sense to analyze the full-text. Even more\, it can be beneficial to analyze only a limited dataset that is filtered by an expert towards a very specific field\, such as additive printing or smart wearables for medical observations. Sometimes also a mixture of both digital library data and manually collected documents is relevant to be able to validate a certain trend\, where one gives a big picture and other gives a very condensed overview of the present scenario.\nThe thesis aims\, therefore\, to focus on such manually collected documents by experts that can be defined as condensed data. So\, the major goal of this thesis is to conceptualize and implement a solution that enables the creation and analysis of such a condensed data set and compensate therewith the limitations of digital library data analysis. As a result\, a visual trend analysis system for analyzing text documents is presented\, it utilizes the best of both state-of-the-art text analytics and information visualization techniques. In a nutshell\, the presented trend analysis system does two things. Firstly\, it is capable of extracting raw data from text documents in the form of unstructured text and meta-data\, convert it into structured and analyzable formats\, extract trends from it and present it with appropriate visualizations. Secondly\, the system is also capable of performing gap-analysis tasks between two data sources\, which in this case is digital library data and data from manually collected text documents (Condensed Expert Data). The proposed visual trend analysis system can be used by researchers for analyzing the research trends\, organizations to identify current market buzz and industry trends\, and many other use-cases where text data is the primary source of valuable information.
URL:https://vis.h-da.de/events/thesis-presentation-visual-trend-analysis-on-condensed-expert-data-beside-research-library-data-for-enhanced-insights
LOCATION:TU Darmstadt / GRIS\, Fraunhoferstraße 5\, Darmstadt\, Hessian\, 64283\, Germany
CATEGORIES:Scitics,Thesis
ATTACH;FMTTYPE=image/png:https://vis.h-da.de/wp-content/uploads/2018/12/symbolic_teaching.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190702
DTEND;VALUE=DATE:20190706
DTSTAMP:20260405T155213
CREATED:20190624T184350Z
LAST-MODIFIED:20220825T092950Z
UID:4859-1562025600-1562371199@vis.h-da.de
SUMMARY:23rd International Conference Information Visualization (iV 2019)
DESCRIPTION:We are attending this year’s International Information Visualisation Conference (iV 2019) and presenting our accepted paper titled “Visual Analytics for Analyzing Technological Trends from Text”. \nMore information about our paper and the conference you will find in the news.
URL:https://vis.h-da.de/events/23rd-international-conference-information-visualization-iv-2019
LOCATION:Paris\, 20\, avenue George Sand\, La Plaine Saint-Denis\, 93210\, France
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://vis.h-da.de/wp-content/uploads/2019/05/20190702_iV_Paris.jpg
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