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X-WR-CALDESC:Events for MediaFutures
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DTSTART;TZID=Europe/Oslo:20211111T130000
DTEND;TZID=Europe/Oslo:20211111T140000
DTSTAMP:20260517T190821
CREATED:20210916T121604Z
LAST-MODIFIED:20211109T143626Z
UID:9233-1636635600-1636639200@mediafutures.no
SUMMARY:CEDAS & MediaFutures Joint Seminar: Knowledge Graph: Exploring Reasoning and Learning with Jeff Z. Pan
DESCRIPTION:Please join the Center for Data Science (CEDAS\, UiB) and MediaFutures for an invited talk by Dr. Jeff Z. Pan from the School of Informatics at The University of Edinburgh\, about the topic of Knowledge Graphs. \nTITLE: Knowledge Graph: Exploring Reasoning and LearningWHEN: 11 November\, 13:00-14:00WHERE: https://uib.zoom.us/j/66264523995?pwd=V0RCd3l4NHNkSHpBRzlXZzl0RDEwdz09 \nAbstract: The topic of large scare knowledge representation and reasoning has been popular over the last two decades. It has gone  through a few stages in recent years\, including the Semantic Web\, Linked Data and Knowledge Graph. Different stages come with different reasoning tasks; e.g.\, the Semantic Web stage favours ontological (schema) reasoning\, while the Linked Data stage attracts data reasoning and query answering. In the Knowledge Graph stage\, it seems that learning is regarded as a key reasoning task\, at least as an approximate reasoning task. In this talk\, I will share some of my thoughts on learning and reasoning in the Knowledge Graph stage\, from the perspective of approximate reasoning\, and maybe more. \nSpeaker: Dr Jeff Z. Pan is a Reader on Knowledge Graphs at  the School of Informatics at The University of Edinburgh. He co-chairs the Knowledge Graphs group at the Alan Turing Institute. He received his Ph.D. in Computer Science from The University of Manchester. His research focuses primarily on knowledge representation and artificial intelligence\, in particular on knowledge graph based learning and reasoning\, and knowledge based natural language understanding and generations\, as well as their applications. He was an official reviewer of the international Knowledge Graph standards RDF and SPARQL and was a key contributor of the international standard (OWL) of Knowledge Graph schemas. He led the development of the award-wining TrOWL approximate reasoner\, which is one of the top three OWL 2 DL reasoners in the sound and complete Ontology Reasoner Evaluation (ORE2014). He was the Chief Scientist of the EU Marie-Curie K-Drive project. He is the Chief Editor of the first two books on Knowledge Graph. He is an Associate Editor of the Journal of Web Semantics (JWS) and of the International Journal on Semantic Web and Information Systems (IJSWIS). He is a Programme Chair of the 19th International  Semantic Web Conference (ISWC 2020)\, the premier international forum for the Semantic Web and Knowledge Graph. \nFor more info from CEDAS\, please visit: https://www.uib.no/cedas-norsk/147863/knowledge-graph-exploring-reasoning-and-learning 
URL:https://mediafutures.no/event/cedas-mediafutures-joint-seminar-knowledge-graph-exploring-reasoning-and-learning/
LOCATION:Online
CATEGORIES:Events,Seminar
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/jeffpan4-1-e1635762026954.jpg
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DTSTART;TZID=Europe/Oslo:20211125T120000
DTEND;TZID=Europe/Oslo:20211125T130000
DTSTAMP:20260517T190821
CREATED:20210916T123151Z
LAST-MODIFIED:20211129T065236Z
UID:9240-1637841600-1637845200@mediafutures.no
SUMMARY:MediaFutures Seminar: Translating Educational Data into Meaningful Practices: Insights from the field of Learning Analytics. Mohammad Khalil.
DESCRIPTION:Mohammad Khalil\, senior researcher at UiB Centre for the Science of Learning & Technology (SLATE)\, will give a seminar on 25 November\, at 12:00. \nTITLE: Translating Educational Data into Meaningful Practices: Insights from the field of Learning AnalyticsWHEN: Thursday 25 November\, 12:00-13:00WHERE: https://uib.zoom.us/j/63125529816?pwd=OTc0MStQYUczTkEzTXVRZTlBYUpyQT09Meeting ID: 631 2552 9816Password: 8U0vAVAy \nABSTRACT: \nSince the last decade\, higher education has moved online and institutions have had access to more student data than ever before. A proactive move before the recent pandemic where online and virtual learning environments had functioned as primarily digital repositories of educational resources\, employing student data to improve learning experiences and environments was disseminated in 2011\, so-called Learning Analytics. For 11 years\, the emerging of Learning Analytics has evolved into a mature research field and practice. \nIn this talk\, I will share with you some facts about the field in 4Ws\, Where it originates from? What theories have influenced the field? How does it translate students’ data into useful practices (empirical evidence)? and What concerns have been raised through such usage? \nBIO:Mohammad Khalil\, PhD\, is a senior researcher of Learning Analytics at the Centre for the Science of Learning & Technology (SLATE). His research interests focus on understanding online learning behavior based on students digital traces in virtual environments\, including self-regulation. His other research interests include privacy and ethics\, and visualizations. Khalil is the author of over 60 research papers in scholarly journals and international conferences in the area of Learning Analytics and Technology-Enhanced Learning.
URL:https://mediafutures.no/event/mediafutures-seminar-translating-educational-data-into-meaningful-practices-insights-from-the-field-of-learning-analytics-mohammad-khalil/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Mohammad-Khalil.jpg
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DTSTART;TZID=Europe/Oslo:20211126T120000
DTEND;TZID=Europe/Oslo:20211126T130000
DTSTAMP:20260517T190821
CREATED:20211120T203649Z
LAST-MODIFIED:20211129T070452Z
UID:10037-1637928000-1637931600@mediafutures.no
SUMMARY:MediaFutures Seminar: Platform provenance analysis for digital images. Assistant Prof. Cecilia Pasquini.
DESCRIPTION:Cecilia Pasquini\, Assistant Professor at the University of Trento\, Italy\, will give a seminar on 26 November\, at 12:00. \nTITLE: Platform provenance analysis for digital images. \nWHEN: Friday 26 November\, 12:00-13:00\nWHERE: https://uib.zoom.us/j/61463829083?pwd=UmpxU3AwY0JFWDZITWppWkcxWlZTUT09\n \nMeeting ID: 614 6382 9083\nPassword: 65UPcP4H \n\n \nABSTRACT: \n \nThe forensic analysis of image and video data that have been shared through social networks entails significant technological challenges. In fact\, during the (possibly multiple) uploading processes\, sharing platforms typically apply on the data routine operations such as recompression and resizing\, so to reduce memory and bandwidth requirements. While this implies a degradation of the visual information that hinders\, for instance\, the possibility to identify the acquisition device\, it has been observed that the transition through different social media platforms leave distinctive patterns on the data.By characterising those patterns at both signal and metadata-level\, information on previous sharing operations can be extracted\, thus possibly enabling a backward reconstruction of the sharing path of the visual data under analysis. This talk will report recent evidences in this direction and opportunities for provenance analysis on shared digital images.\n \nBIO: \n \nCecilia Pasquini received her PhD in 2016 from the University of Trento\, Italy. From 2016 to 2020\, she has been a Postdoctoral Fellow at the Privacy and Security Lab with the Universität Innsbruck\, Austria\, and at the IT Security Lab at the University of Münster\, Germany. In 2013\, she was visiting PhD student at the University of Vigo\, Spain. Prior to that\, she received a BS and MS degree in Mathematics from the University of Ferrara\, Italy\, in 2010 and 2012.Her research area lies at the intersection of multimedia signal processing  and  information security\, with special focus on image and video forensics\, multimedia security\,  adversarial signal processing and machine learning. She has participated in several projects on these topics\, such as UNCHAINED (funded by DARPA)\, PREMIER (funded by MIUR)\, ITBDIF (funded by Deutsche Forschungsgemeinschaft)\, J-MDS\, NOTIS\, ECMSF (funded by EUREGIO).  She has been General Co-Chair of the ACM Workshop on Information Hiding & Multimedia Security 2018\, and co-organizer of the special session “Information Security meets Adversarial Examples” at IEEE WIFS 2019. She is member of the Technical Program Committee of several conferences and workshops (e.g.\, ACM IH&MMSec\, IEEE WIFS\, IEEE ICASSP\, EUSIPCO)\, serves as reviewer for many journals (e.g.\, IEEE TIFS\, IEEE TCSVT\, IEEE TIP) and as Associate Editor for the EURASIP Journal on Information Security. She is an elected member of the EURASIP BForSec Technical Area Committee. She received the Top 10% paper award (IEEE International Workshop on Multimedia Signal Processing 2013) and the “F. Carassa” GTTI 2015 award for the best ongoing PhD.  
URL:https://mediafutures.no/event/mediafutures-seminar-multi-clue-reconstruction-of-sharing-chains-for-social-media-images/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/P_Cecilia_Pasquini-e1637440800612.jpg
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