MMTC Team summer event - more information to come
11
June
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11
June
<p>MMTC Team summer event - more information to come</p>
11
June
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11
June
00:00
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MMTC Team summer event - more information to come
MMTC Team summer event - more information to come
Organizer:
Media, Management and Transformation Centre
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Defence of doctoral thesis Torbjörn Kalin (Social work)
12
June
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12
June
10:00
<p>On 12 June 2024, Torbjörn Kalin defends his doctoral thesis titled</p><p><em>"Om upptäckt och sortering till socialbarnvård. Longitudinella perspektiv på barn som far allvarligt illa"</em></p><p>Time: 10 am </p><p>Location: Forum Humanum, School of Health and Welfare</p><p>External reviewer: Mats Anderberg, associate professor, Linnéuniversitetet</p><p>Language: Swedish</p>
12
June
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12
June
10:00
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Defence of doctoral thesis Torbjörn Kalin (Social work)
On 12 June 2024, Torbjörn Kalin defends his doctoral thesis titled
"Om upptäckt och sortering till socialbarnvård. Longitudinella perspektiv på barn som far allvarligt illa"
Time: 10 am
Location: Forum Humanum, School of Health and Welfare
External reviewer: Mats Anderberg, associate professor, Linnéuniversitetet
Language: Swedish
Organizer:
School of Health and Welfare
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MMTC seminar presented by Per Davidsson
21
August
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21
August
12:00
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13:00
<p>MMTC seminar presented by Per Davidsson</p><p>Seminar title: <strong>“External Enablement of Entrepreneurial Action and Outcomes: Development of a Research Program</strong></p>
21
August
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21
August
12:00
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13:00
Location
B6046 and online
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MMTC seminar presented by Per Davidsson
MMTC seminar presented by Per Davidsson
Seminar title: “External Enablement of Entrepreneurial Action and Outcomes: Development of a Research Program
Organizer:
Media, Management and Transformation Centre
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Online seminar hosted by the Data Methods Initiative and MMTC presented by Ulrich Matter
4
September
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4
September
13:15
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14:45
<p>Ulrich Matter: Search Engines, Online News, and Political Polarization</p><p><a target="_blank" href="https://umatter.github.io/">Ulrich</a> is Assistant Professor at the University of St. Gallen, working on topics related to web technologies, data science, quantitative political economics, and online media economics. He is the author of the book "<a target="_blank" href="https://umatter.github.io/BigData/">Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data</a>".</p><p> </p><p>Abstract of the the paper: Algorithmic personalization of information provision has been widely debated, with concerns that it may lead to segregation and political polarization. This study aims to investigate the impact of web search personalization on political polarization, focusing on online news and Google's search engine. We designed two experiments using 300 US-based synthetic web users, or "bots," with a human-like appearance and randomized individual characteristics, who were active for a 12-month period. Our findings reveal that web search personalization indeed intensifies informational segregation between users with liberal and conservative political preferences, as well as between users with varying privacy settings. However, our results suggest that the likelihood of an increased polarization due to personalized search results is nevertheless low.</p><p>Find out more here https://www.datamethodsinitiative.org/post/ulrich-matter</p>
4
September
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4
September
13:15
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14:45
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Online seminar hosted by the Data Methods Initiative and MMTC presented by Ulrich Matter
Ulrich Matter: Search Engines, Online News, and Political Polarization
Ulrich is Assistant Professor at the University of St. Gallen, working on topics related to web technologies, data science, quantitative political economics, and online media economics. He is the author of the book "Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data".
Abstract of the the paper: Algorithmic personalization of information provision has been widely debated, with concerns that it may lead to segregation and political polarization. This study aims to investigate the impact of web search personalization on political polarization, focusing on online news and Google's search engine. We designed two experiments using 300 US-based synthetic web users, or "bots," with a human-like appearance and randomized individual characteristics, who were active for a 12-month period. Our findings reveal that web search personalization indeed intensifies informational segregation between users with liberal and conservative political preferences, as well as between users with varying privacy settings. However, our results suggest that the likelihood of an increased polarization due to personalized search results is nevertheless low.
Find out more here https://www.datamethodsinitiative.org/post/ulrich-matter
Organizer:
Media, Management and Transformation Centre
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CCD retreat
18
October
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18
October
09:00
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12:00
<p>Half a day to discuss research applications for the members of the research environment CCD</p>
18
October
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18
October
09:00
-
12:00
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CCD retreat
Half a day to discuss research applications for the members of the research environment CCD
Organizer:
School of Education and Communication
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Data Methods Initiative seminar presented by Vejune Zemaityte: Data-driven film industry research
23
October
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23
October
13:15
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14:45
Online-contact for zoom link
<p><strong>Dr Vejune Zemaityte</strong> is a Senior Research Fellow in Film Data Analytics at the Baltic Film, Media and Arts School (BFM), Tallinn University, Estonia. Vejune uses data analysis and visualisation techniques, including network analysis, to study global screen industries. She researches film production, theatrical film distribution, film festival circuit, public service television, and historical newsreels.</p><p>Participation in international film festivals is crucial for films, particularly for independent productions in smaller markets, as they facilitate critical recognition, audience engagement, and distribution opportunities. Our research utilizes the Cinando database, managed by Marché du Film - Festival de Cannes, to conduct data-driven analyses of the festival circuit, modeling festivals as a global network and examining the diversity and public value of festival programming. This investigation helps understand why certain films succeed internationally and includes a discussion on the challenges and insights gained from working with "found" data not originally intended for research purposes. This talk will discuss some of the quantitative approaches we applied to the film festival database, highlighting not only our results but also the process of working with so-called “found” data created for reasons other than research. </p><p><a href="https://www.datamethodsinitiative.org/seminars/categories/upcoming-seminars">Find out more via the Data Methods Initiative website </a></p>
23
October
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23
October
13:15
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14:45
Location
Online-contact for zoom link
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Data Methods Initiative seminar presented by Vejune Zemaityte: Data-driven film industry research
Dr Vejune Zemaityte is a Senior Research Fellow in Film Data Analytics at the Baltic Film, Media and Arts School (BFM), Tallinn University, Estonia. Vejune uses data analysis and visualisation techniques, including network analysis, to study global screen industries. She researches film production, theatrical film distribution, film festival circuit, public service television, and historical newsreels.
Participation in international film festivals is crucial for films, particularly for independent productions in smaller markets, as they facilitate critical recognition, audience engagement, and distribution opportunities. Our research utilizes the Cinando database, managed by Marché du Film - Festival de Cannes, to conduct data-driven analyses of the festival circuit, modeling festivals as a global network and examining the diversity and public value of festival programming. This investigation helps understand why certain films succeed internationally and includes a discussion on the challenges and insights gained from working with "found" data not originally intended for research purposes. This talk will discuss some of the quantitative approaches we applied to the film festival database, highlighting not only our results but also the process of working with so-called “found” data created for reasons other than research.
Find out more via the Data Methods Initiative website
Organizer:
Media, Management and Transformation Centre
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