37E4400001 - Critical Issues in Information Systems Research D, Lecture, 5.5.2022-20.5.2022

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  General
  This Year's Theme: Data as the Lifeblood of Digital Revolution

  Data is the lifeblood of all digital systems, yet we often tend to think about data narrowly as facts that are fed into analytics or, more generally, information systems. Such a ‘standard’ view is useful for analyzing phenomena through data but it obscures the diversity of ways in which data are involved and implicated in human practices. In this course, we learn about two key ways in which information systems discipline perceives data and how different ways to study data and data-based phenomena allow us to answer important questions that emerge in increasingly datafied settings.

  In particular, we approach data as technological artifacts and look for ways to answer questions such as:

  • How are new kinds of valuable data created?
    
  • How do data give rise to novel commodities?
    
  • How do employees cope with data in their environment?
    
  • How do data render important social categories such as gender differently?

  You will study these and other similar questions to understand how data renders our world in new ways and how to design better data for business and society.

  Course Teacher: Assistant professor Aleksi Aaltonen, Temple University. 

  NOTE! This course is not about how to do data science and analytics; although we touch upon these topics and activities to some extent, our interest is in the stuff that feeds these activities among other things.

  Program

  Thursday, 5 May: Approaches to studying data,  Place: Konemiehentie 2, Tietotekniikka, T6 A136
  10:00–10:15	Introduction and administrative matters
  10:15–12:00	What is the study of data? Why should we study data? How does it differ from data science and analytics?
  12:00–13:00	Lunch break
  13:00–13:30	The factual view of data and its shortcomings
  13:30–14:00	Individual ideation session: Think differently about a particular data source or data
  14:00–14:30	One slide presentations and discussion
  14:30–14:45	Short break
  14:45–15:45	The artifactual view of data
  15:45–16:00	Expectations for the final report and presentation, group formation
  Friday, 6 May: Developing your own take on data Place: Väre, School of Arts, M202
  10:00–11:00	Emerging questions in datafied society
  11:00–11:30	Research paper as academic storytelling
  11:30–12:30	Lunch break
  12:30–13:30	Group ideation session: Homing in on the group report topic
  13:30–14:00	One slide presentations and discussion
  14:00–14:15	Short break
  14:15–14:45	Toward managerially and societally relevant data research
  14:45–15:00	Assigning homework readings for Monday
  Monday, 9 May: Feedback on your initial group ideas to be developed further Place: Konemiehentie 2, Tietotekniikka, T6 A136
  10:00–10:15	Expectations for the day
  10:15–12:00	Homework presentations
  12:00–13:00	Lunch break
  13:00–13:30	Instructor feedback on the group ideas
  13:30–15:00	Group ideation session: Improving the group report ideas
  15:00–15:45	One slide presentations and discussion
  15:45–16:00	Closing and plan for the rest of the course
  Friday, 20 May: Team presentations Place: Ekonominaukio 1, Business School, T004 - T004
  9 – 13:00	Draft Paper Presentations (actual length depends on the number of groups)

   

  You will present your draft paper on Friday, 20 May and I will give you further feedback. The final report is due on Friday, 3 June.

  
  

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