Prof. Dr. Alexander Salle (Institut für Mathematik, Universität Osnabrück) | 12.12.2019 | 17:15 Uhr | C.0.16 (Gebäude Sterneckstraße)

Kurzfassung/Abstrakt: »Zum Denken benötigt der Mensch lediglich sein Gehirn« – insbesondere im Hinblick auf das Lernen einer abstrakten Disziplin wie Mathematik ist diese Auffassung weit verbreitet. Viele Forschungsarbeiten der letzten Jahre verdeutlichen jedoch die zentrale Rolle des Körpers in mathematischen Lern- und Kommunikationsprozessen. Im Vortrag werden empirische Ergebnisse vorgestellt, anhand derer die Bedeutung von Gesten für die Analyse von Kommunikations- und Lernprozessen herausgearbeitet sowie Konsequenzen für die Erforschung und Gestaltung mathematischer Lehr-Lern-Arrangements diskutiert werden. Gerahmt werden die Ergebnisse durch theoretische Betrachtungen zu Gesten und Multimodalität.

Lebenslauf: Studium des Gymnasiallehramts (2008) und Diplommathematik (2009), Promotion zum Dr. phil (2014) an der Universität Bielefeld 2014, seit 2015 Juniorprofessur für Didaktik der Mathematik an der Universität Osnabrück, 2018 Habilitationsäquivalenz durch positive Evaluation, Arbeitsgebiete: Analyse mathematischer Lernprozesse aus multimodaler Perspektive; Bedeutung von Gesten, Notizen und Mitschriften für mathematikbezogene Lern- und Kommunikationsprozesse, Grundvorstellungen mathematischer Inhalte (insbes. im Bereich der Trigonometrie), Übergang Schule-Hochschule, Mathematik und digitale Medien.

The review of the TEWI colloquium of Dr. Raimund Schatz from Nov 20, 2019 comprises the slides (below):

Abstract: Over last 15 years, Quality of Experience (QoE) has evolved from a buzzword to a holistic, mature scientific concept that captures the entire experience that a person has with a multimedia communication service (e.g. online video, web browsing, telephony, etc.). This talk provides an introduction to the concept of QoE and its operationalization in subjective experiments. To this end we first review the origins of QoE as well as the most useful definitions and frameworks that map the main QoE constituents and use cases. In the second part we go about operationalizing QoE, with a focus on how to design and conduct subjective QoE experiments that provide valid and reliable results.

CV: Dr. Raimund Schatz is Senior Scientist at the AIT Austrian Institute of Technology, Center for Technology Experience, where he coordinates the Research Field „Experience Measurement“. Furthermore, he is Post-Doctoral researcher at the ATHENA Christian-Doppler Laboratory (ITEC, AAU). Until 2015 he was Key Researcher and Area Manager at the Telecommunications Research Center Vienna, Department of User-centered Interaction, Services, and Systems Quality. Raimund Schatz holds an Msc. in Telematics (TU-Graz), a PhD in Informatics (TU-Vienna), as well as an MBA and an MSc. from Open University Business School (UK). He is (co-)author of more than 130 publications in the areas of Quality of Experience, Service Quality, HCI and Pervasive Computing. Furthermore, he is or was actively involved in a number of QoE and HCI-related EU projects and networking activities, including SHOTPROS (H2020), Optiband (FP7), CELTIC QuEEN and COST Actions IC1003 Qualinet and IC1304 ACROSS, as well as the organization of various QoE-related conferences and workshops (e.g. QoENAM 2014, QoE-FI 2016, QCMAN 2016, QoE-Management 2017, QoMEX 2018, QoMEX 2019, etc.).

Dr. Petra Kralj Novak | December 9, 2019 | 16:00 | S.2.42

Abstract:

Social media are computer-based technologies that provide means of information and idea sharing, as well as entertainment and engagement handly available as mobile applications and websites to both private users and businesses.  As social media communication is mostly informal, it is an ideal environment for the use of emoji and for detecting the population’s sentiments and stance. Sentiment* and stance** analysis have been heavily researched in the last decade and the technology to address these data analysis tasks have developed rapidly. In this talk, several inspiring sentiment and stance analysis applications will be presented, varying in data source, topics, language, and approaches used. As a result of several years of experience in sentiment and stance analysis, best practices guidelines will be provided and remaining challenges exposed.
*Sentiment analysis is the field of study that analyzes people’s opinions, sentiments, evaluations, attitudes, and emotions from a text.
**Stance analysis is the task of automatically determining from text whether the author of the text is in favor of, against, or neutral towards a proposition or target.

CV:

Dr. Petra Kralj Novak is a researcher at the Department of Knowledge Technologies, Jožef Stefan Institute, Ljubljana, Slovenia. Her research belongs to the wide area of knowledge discovery from databases. Currently, as a postdoctoral researcher, she analyses social and mainstream media focusing on the mediated sentiment and hate speech. Avant-garde research in analyzing the role of emojis in conveying sentiment was published in P. Kralj Novak, et al. „Sentiment of emojis“ and is the main reference for current research in the analysis of emoji. Dr. Kralj Novak publishes research papers and datasets in top academic venues. Her thesis focused on rule induction from class labeled data, where the induced rules are intended for human interpretation. The main findings of the thesis are published in Journal of Machine Learning Research and in the Encyclopedia of Machine Learning. She also designed and implemented GMOtreck – a system for optimization of laboratory level traceability of genetically modified organisms. Dr. Kralj Novak regularly serves in scientific programs of major academic and industrial conferences such as ICDM, ICML, DS, IDA, and Southern Data Science. She is PC chair of the  22nd International Conference on Discovery Science (2019, Split Croatia). From 2006 to 2009, and from 2018 on she is secretary and treasurer of SLAIS – the Slovenian Artificial Intelligence Society. She has also actively collaborated in several national and European research projects. She is the coordinator of the EU REC AG project IMSyPP: Innovative Monitoring Systems and Prevention Policies of Online Hate Speech (2020-2022).

Dr. Raimund Schatz | Nov 20, 2019 | 10:00 | Lakeside B12b.1.1

Abstract: Over last 15 years, Quality of Experience (QoE) has evolved from a buzzword to a holistic, mature scientific concept that captures the entire experience that a person has with a multimedia communication service (e.g. online video, web browsing, telephony, etc.). This talk provides an introduction to the concept of QoE and its operationalization in subjective experiments. To this end we first review the origins of QoE as well as the most useful definitions and frameworks that map the main QoE constituents and use cases. In the second part we go about operationalizing QoE, with a focus on how to design and conduct subjective QoE experiments that provide valid and reliable results.

CV: Dr. Raimund Schatz is Senior Scientist at the AIT Austrian Institute of Technology, Center for Technology Experience, where he coordinates the Research Field „Experience Measurement“. Furthermore, he is Post-Doctoral researcher at the ATHENA Christian-Doppler Laboratory (ITEC, AAU). Until 2015 he was Key Researcher and Area Manager at the Telecommunications Research Center Vienna, Department of User-centered Interaction, Services, and Systems Quality. Raimund Schatz holds an Msc. in Telematics (TU-Graz), a PhD in Informatics (TU-Vienna), as well as an MBA and an MSc. from Open University Business School (UK). He is (co-)author of more than 130 publications in the areas of Quality of Experience, Service Quality, HCI and Pervasive Computing. Furthermore, he is or was actively involved in a number of QoE and HCI-related EU projects and networking activities, including SHOTPROS (H2020), Optiband (FP7), CELTIC QuEEN and COST Actions IC1003 Qualinet and IC1304 ACROSS, as well as the organization of various QoE-related conferences and workshops (e.g. QoENAM 2014, QoE-FI 2016, QCMAN 2016, QoE-Management 2017, QoMEX 2018, QoMEX 2019, etc.).

Assoc.-Prof. Dr. Antorweep Chakravorty | November 25, 2019 | 16:00 | S.2.42

Abstract:

Blockchain is an innovation for creating distributed trust between users facilitating the exchange of value over a network. It can be seen as a decentralized read-only database operated collectively by participants in the network. Participants in the network can be different organizations that provide computing infrastructure to maintain a single version of a decentralized ledger. Each participant locally maintain the same version of this ledger in their own environment and agree upon any updates or changes to its state by employing some consensus algorithms. This enables the trust to be distributed throughout the network, without the need for a central intermediary. The decentralization of trust allows the blockchain technology to be transparent, secure, auditable, redundant and immutable. Since each participant maintains the same version of the truth, it removes the potential of conflict. Additionally, it also enhances the trust of end-users using applications provided by organizations driven by blockchains as they are able to get confirmation about operations on their data from multiple distinct entities rather than a single centralized party. These features of the blockchain has lead to its adoption not only in financial sectors but also in health, energy, IoT, supply chain and smart cities.

CV:

Dr. Antorweep Chakravorty is an Associate Professor at the University of Stavanger. His current research and development work is in the field of applied Blockchains, Big Data, Large Scale Machine Learning and Data Privacy. He has an interest in real-world problems, especially development of privacy enabled data-driven services in smart energy, healthcare and smart city domains. Antorweep completed his PhD. in 2015 with a thesis on Privacy Preserving Big Data Analytics at the University of Stavanger, Norway. Along with having a background in applied research in data-driven solutions, he is also involved in mentoring, teaching and supervision. He spent 6 months on a research exchange program at IBM Thomas J. Watson Research Center, New York, USA.