MMTC seminar presented by Per Davidsson

Seminar title: “External Enablement of Entrepreneurial Action and Outcomes: Development of a Research Program

Brenda Zierler, University of Washington facilities a workshop on Quality Improvement and Interprofessional learning.

Brenda works to improve the quality and safety of care for patients with cardiovascular disease. Also developing clinical guidelines, implementing and evaluating team training strategies, and conducting evaluation research of the interventions.

Brenda Zierler | School of Nursing (uw.edu)

The seminar is in English and will be held in room Ga529 and is hosted by Jönköping Academy and SIHW.

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

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