Overview
Comment: | add some clarifications to first assignment |
---|---|
Timelines: | family | ancestors | descendants | both | revise-for-2022 |
Files: | files | file ages | folders |
SHA3-256: |
2d4dccddf2b46ee6c3bd998e975123f7 |
User & Date: | jboy on 2022-03-29 15:12:56 |
Other Links: | branch diff | manifest | tags |
Context
2022-03-30
| ||
09:30 | fix due date for assignment 3 and add tutorial content check-in: 8f604d263d user: jboy tags: revise-for-2022 | |
2022-03-29
| ||
15:12 | add some clarifications to first assignment check-in: 2d4dccddf2 user: jboy tags: revise-for-2022 | |
15:05 | add CTL scandal reading check-in: 5882fc1f16 user: jboy tags: revise-for-2022 | |
Changes
Modified docs/assignments/1.md from [497350ffd1] to [c4b3048c97].
1 2 3 4 5 6 7 8 9 10 11 12 13 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | - + - + | # Assignment 1: Data Walk Due date : April 25, 15:00 The goal of this assignment is to sensitize you to the ways in which data is continually produced in contemporary social settings. In another context we might talk about the *opportunities* this holds for social researchers, many of whom have welcomed the "data deluge" as an opportunity to invent new ways of knowing the social. In the context of this class, however, we will mostly discuss its ethical implications---the ways in which the research process is shot through with ethical concerns when it takes place in data-saturated environments. Canadian media scholar [Alison Powell](https://www.alisonpowell.ca/?page_id=71) came up with the idea for **data walkshops** with the express purpose of "opening up civic discussions about data and its ethics within urban space." A variation on the ethnographic go-along method, it has been adopted by scholars around the world, including the [Centre for BOLD Cities](https://www.centre-for-bold-cities.nl/projects/data-walks) in our own region. In this assignment, you will plan, carry out and report on a data walk. Each student will submit **a brief report** (around 600 words) with supporting materials such as maps, photographs and notes taken en route. During the walk, you will focus on _data hubs_: objects or sites that collect data. Examples include customer loyalty cards, ATMs, traffic cameras, RIFD tracking systems, OV chip card scanners, QR codes, parking meters, air quality meters, but the list could go on and on. |