CEDITRAA – Methods Workshop 04-05 October 2021

CEDITRAA - Methods Workshop 04-05 October 2021

One of CEDITRAA’s major contributions to the development of area studies lies in the project’s innovative combination of a broad range of methods, disciplinary approaches, and data analysis techniques. Consequently, the second large CEDITRAA event held on 4 and 5 October 2021 was a Methods Workshop, were we brought together an international crowd of methodologists for an interdisciplinary workshop exploring different approaches to the study of Cultural Entrepreneurship and Digital Transformation.

The first day of the workshop was dedicated to textual and visual analysis using machine learning and big data techniques. Presentation and discussion topics ranged from AI-emotion recognition on image data to visual optimal distinctiveness in product design. On day two we focused on the intersection of culture and digital ethnography, with talks covering platform dynamics on Instagram and TikTok as well as hybrid ethnography and ethnographic approaches to digital folklore.

SPEAKERS AND ABSTRACTS

You can find all the abstracts and more information about the speakers here:

Alexander Kock: Analyzing novelty and prior experience through text analysis in movie ventures

Abstract Popular data analytics methods such as text analysis and social network analysis enable large scale and more objective measurements as well as new research questions in management research. This study worked on the question of how new venture teams’ composition...

Oliver Hinz: AI-Emotion Recognition in the Wild and Explainable Interactive Machine Learning on Image Data

Abstract In his talk on “AI-Emotion Recognition in the Wild and Explainable Interactive Machine Learning on Image Data”, Prof. Hinz provided two examples for the capabilities of Machine Learning to analyze image data. In the first case study, he demonstrated...

Prithwiraj Choudhury: Machine Learning application

Abstract Prof. Choudhury from Harvard Business School presented his research on “Machine learning for pattern discovery in management research”, in which he combines various machine learning methods to examine CEO communication styles. Among other things, he and his team used...

Tian Heong Chan: “Design and (Visual) Optimal Distinctiveness”

Abstract How different should a new design be? In his talk, Tian Chan examined how a new design’s similarity with other designs contributes to its market valuation. Using a dataset of US design patents granted from 1977 through 2010 that...

Simone Pfeifer: Affordances and Platform Dynamics in Digital Ethnographic Research: Examples from Muslim Everyday Life on Instagram

Abstract Affordances and platform dynamics have often been studied as part of digital anthropological work (e.g., Costa 2018; Bareither 2018; Madianou & Miller 2012). However, these studies rarely mention how these affordances affect their digital research and how they have...

Tom Simmert: #TiktokAfrica as an Ethnographic field

Abstract Using the example of my research on Afrobeats, this talk aimed to explore the possibilities of TikTok as a digital field site for ethnographic research in a (post-) pandemic context. It addressed the opportunities and challenges that arise for...

Gabriele de Seta: Ethnographic approaches to digital folklore

Abstract With its focus on sustained participation and dialogic engagement across different media and their contexts of use, ethnography is particularly suited for the study of digital folklore. This talk outlined four strategies to approach digital folklore ethnographically. These strategies...

Liz Przybylski: Hybrid ethnography of expressive cultures, collection and utilization of audiovisual data

Abstract This talk shared examples from hybrid online/offline music ethnography that help listeners ask theoretical, ethical, and practical questions about modes of sharing information. Thinking through online music festivals and work with nonprofit artist groups, types, purposes, and audiences for...