Digital Method of the Month: How to Crowdsource Data

Digital Method of the Month image

 

Online

Have you seen a presentation on digital research methods and wondered if they are applicable to your work? Are you interested in learning new digital skills but unsure where to start?

This is the right place for you!

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research.

Each month we select a method, and we have an honest and practical discussion on what it takes to learn and master it. How much time will it take to get the basics? What are the software options available? What are the most common pitfalls? Where can you find more info on the subject? Etc...   

The method of this month is crowdsourcing research data. While data collection traditionally involves a researcher travelling to a physical location or interacting face-to-face with participants, recent years have seen an explosion in the use of online data collection, particularly through crowdsourcing websites like Amazon Mechanical Turk or Prolific. Online methods potentially allow rapid and low-effort collection of large samples, and are also useful in situations where in-person data collection is not possible. At this event, we will discuss the kinds of data you can collect through crowdsourcing, advantages and disadvantages of collecting data in this way, and how to get started.

This is a beginner-level event, and no previous knowledge of the method is required.

To attend this event, you will have to join the associated Microsoft Teams group. The link to join the group will be sent to the attendees prior to the course start date, so please make sure to do so in advance.

 

This Digital Method of the Month will be taught by Aislinn Keogh.

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.

 

Return to the Training Homepage to see other available events.

You might be interested in

Introduction to Programming with Python

Introduction to Programming with Python

Digital Method of the Month. Machine learning

Digital Method of the Month: Machine Learning

Introduction to Databases and SQL

Silent Disco: Introduction to Databases and SQL

A Gentle Introduction to Causal Inference

A Gentle Introduction to Causal Inference

Processing Geographical Data in QGIS

Processing Geographical Data in QGIS

Analysing Spatial Dynamics with GIS and R

Analysing Spatial Dynamics with GIS and R

Introduction to Text Analysis with Python

Introduction to Text Analysis with Python

Sentiment Analysis

Silent Disco: Introduction to Sentiment Analysis