BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MediaFutures - ECPv6.15.13.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:MediaFutures
X-ORIGINAL-URL:https://mediafutures.no
X-WR-CALDESC:Events for MediaFutures
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Oslo
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210504T121500
DTEND;TZID=Europe/Oslo:20210504T130000
DTSTAMP:20260518T221120
CREATED:20210415T110912Z
LAST-MODIFIED:20210421T080525Z
UID:5568-1620130500-1620133200@mediafutures.no
SUMMARY:Seminar: JECT.AI: Using digital technologies to augment work in the newsroom. Neil Maiden\, City University of London
DESCRIPTION:Our invited speaker\, Professor Neil Maiden\, Professor of Digital Creativity\, Cass Business School\, City University of London\, will give a talk about JECT.AI – a new digital product for augmented journalism. Maiden will also demonstrate a series of the tool’s features in the context of newsroom activities. \nWelcome to all! \nTITLE: JECT.AI: Using digital technologies to augment work in the newsroom.\nWHEN: 4 May 2021\, 12:15-13:00.\nWHERE: https://uib.zoom.us/j/63279839902?pwd=UFpUR2ZQZENidUQ5ell2MVFZYm51dz09\nMeeting ID: 632 7983 9902\nPassword: 8nfn2Y0d \nABSTRACT: This seminar will introduce JECT.AI\, a new digital product for newsrooms that has emerged from previous research and development work. The use of AI technologies in newsrooms remains contentious. Therefore\, the JECT.AI developers worked closely with journalists to design a product that augments the existing capabilities of journalists\, and ensures that journalists direct the product’s use. The seminar will demonstrate a series of JECT.AI features in the context of newsroom activities\, to reveal how the product augments rather than inhibit how journalists work\, and can enable newsrooms to operate more effectively. \nBIO: Neil Maiden is Professor of Digital Creativity at the Business School (formerly Cass) at City\, University of London\, and Director of the National Centre for Creativity enabled by AI funded by Research England. He is also Chief Product Officer at JECT.AI Limited. His current research interests include uses of artificial intelligence to augment human creativity and enhancing design methods and tools to generate more creative solutions. He is and has been a principal and co-investigator on numerous EPSRC- and EU-funded research projects with a total value of over €73 million. He has published over 220 peer-reviewed papers in academic journals\, conferences and workshops proceedings. He was Program Chair for the 12th IEEE International Conference on Requirements Engineering in Kyoto in 2004\, and Editor of the IEEE Software’s Requirements column from 2005-2013. His details are available at https://www.city.ac.uk/people/academics/neil-maiden. \n 
URL:https://mediafutures.no/event/seminar-professor-neil-maiden-city-university-of-london/
LOCATION:Online
CATEGORIES:Events,Seminar,WP3 Media Content Production & Analysis
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Neil-Maiden.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210506T141500
DTEND;TZID=Europe/Oslo:20210506T150000
DTSTAMP:20260518T221120
CREATED:20210416T123518Z
LAST-MODIFIED:20210713T100852Z
UID:5570-1620310500-1620313200@mediafutures.no
SUMMARY:Seminar: User-centered Investigation of Popularity Bias in Recommender Systems
DESCRIPTION:Please join the Center for Data Science (CEDAS\, UiB) and MediaFutures for an invited talk by Himan Abdollahpouri from the Northwestern University\, USA\, about the topic of popularity bias in recommender systems. \nWelcome to all! \n\nTITLE: User-centered Investigation of Popularity Bias in Recommender Systems.\nWHEN: 6 May 2021\, 14:15-15:00\nWHERE: https://uib.zoom.us/j/63657771765?pwd=anZlNkVPdkxoQ0FmZit5WDJ0R3FkQT09 \nABSTRACT: Recommendation and ranking systems are known to suffer from popularity bias; the tendency of the algorithm to favor a few popular items while under-representing the majority of other items. Prior research has examined various approaches for mitigating popularity bias and enhancing the recommendation of long-tail\, less popular\, items. The effectiveness of these approaches is often assessed using different metrics to evaluate the extent to which over-concentration on popular items is reduced. However\, not much attention has been given to the user-centered evaluation of this bias; how different users with different levels of interest towards popular items (e.g.\, niche vs blockbuster-focused users) are affected by such algorithms. In this talk\, I first give an overview of the popularity bias problem in recommender systems. Then\, I show the limitations of the existing metrics to evaluate popularity bias mitigation when we want to assess these algorithms from the users’ perspective and I propose a new metric that can address these limitations. In addition\, I present an effective approach that mitigates popularity bias from the user-centered point of view. Finally\, I investigate several state-of-the-art approaches proposed in recent years to mitigate popularity bias and evaluate their performances using the existing metrics and also from the users’ perspective. Using two publicly available datasets\, I show that many of the existing popularity bias mitigation techniques ignore the users’ tolerance towards popular items. The proposed user-centered method\, on the other hand\, can tackle popularity bias effectively for different users while also improving the existing metrics. \nBIO: Himan Abdollahpouri is a Postdoctoral Fellow at the Spiegel Research Center at Northwestern University\, USA. He received his Ph.D. in Information Science at the University of Colorado Boulder under the supervision of Prof. Robin Burke. He was a pioneer in developing the multi-stakeholder recommendation research paradigm and has worked on the biases that might jeopardize the fairness of the recommendations across different stakeholders. In particular\, he has done extensive work on the popularity bias in recommender systems and proposed several algorithms and evaluation metrics in this area. His work has appeared in top conferences such as RecSys\, CIKM\, UMAP\, and journals such as UMUAI. He also has worked at Pandora Media and Spotify Research as a machine learning scientist.
URL:https://mediafutures.no/event/seminar-user-centered-investigation-of-popularity-bias-in-recommender-systems/
LOCATION:Online
CATEGORIES:Events,Seminar,WP2 User Modeling, Personalisation & Engagement
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/himan_abdollahpouri-e1626170916223.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20210520T130000
DTEND;TZID=Europe/Oslo:20210520T140000
DTSTAMP:20260518T221120
CREATED:20210415T070650Z
LAST-MODIFIED:20210430T074213Z
UID:5566-1621515600-1621519200@mediafutures.no
SUMMARY:Seminar: Should we have PETs in "smart" homes? Tomasz Kosinski\, Chalmers University of Technology
DESCRIPTION:MediaFutures invites you to join us for a talk with PhD candidate Tomasz Kosinski\, Chalmers University of Technology. The topic of his talk is privacy controls for the IoT systems we are surrounded by. \nWelcome to all! \nTITLE: Should we have PETs in “smart” homes?\nWHEN: 20 May 2021\, 13:00-14:00\nWHERE: https://uib.zoom.us/j/66870039042?pwd=TElra0ZlL0dFaFlaMFh5TjJ3dklmdz09\nMeeting ID: 668 7003 9042\nPassword: 2vDBE%p% \nABSTRACT: This talk is not a lecture. The goal is to use plain English. Why? To simply convey some practical information and insights. About what? On Privacy Enhancing Technologies; PETs for short. What for? So that you can answer the question in the title for yourself. (Correct\, I won’t do this one for you.) Why should you care to listen? Will it matter if you don’t? To whom? And what to use PETs for? Can it be applied to an Amazon Echo or Google Home? A “smart” lightbulb or your “smart” TV? All of them? These questions I’ll strive to answer. And I hope you will have more. Especially that in this popular science format\, I will touch upon topics that should resonate with each of you and that are not limited to dark\, dusty and narrow university corridors or Ivory towers. Tangible examples of this include reports of The Norwegian Consumer Council\, Forbrukerrådet\, regarding consumer-unfriendly practices. Similarly\, recent NRK reports on location tracking through smartphone apps illustrate some issues that will be brought up in the talk. \nBIO: The guy who will insist on not answering the question in the title is currently a pre-graduation PhD candidate. He’s based at Chalmers\, a Swedish technical university located in Gothenburg. His core background is in Computer Science. The pre-PhD excursions involved software engineering\, embedded systems\, quadcopters\, AI methods\, human-robot and human-computer interaction. During the PhD time\, he learned a bit about human studies (with mixed methods)\, scrutinizing smartphone apps (on Android) and analyzing the data showing what IoT devices tend to send over networks. Oh\, and we didn’t bother asking about his off-work interests\, since his PhD is on Privacy. You better follow him on social media for that.
URL:https://mediafutures.no/event/seminar-tomasz-kosinski-chalmers-university-of-technology/
LOCATION:Online
CATEGORIES:Events,Seminar,WP4 Media Content Interaction & Accessibility
ATTACH;FMTTYPE=image/jpeg:https://mediafutures.no/wp-content/uploads/Kosinski-170.jpg
END:VEVENT
END:VCALENDAR