|
Date: 28.11.2019
Fee: free
Venue: Humboldt Graduate School
Duration: about 3 hours
Objectives
Are you working with images and want to learn what the boundaries are in changing images? We introduce you to actual cases where Image manipulation had real-world consequences. Learn in interactive exercises where potential boundaries are and discuss what should be fair in your field. We will take a look at current software that helps identifying image manipulation and explore with you how you can avoid having your own images retracted in your scholarly work.
Content and Format
This workshop is interactive, including discussions and exercises. We will give you an overview to introduce you to the topic in the first part of the workshop.
We will cover the following topics:
-
Defining image manipulation
-
Guidelines for proper image preparation
-
Consequences of inappropriate image manipulation
-
Quantifying image manipulation?
-
Practice: test basic forensic software to detect image manipulations
-
Practice and discussion: compare and contrast image manipulations across disciplines
-
Q&A (participants can ask questions)
-
Reflection: you will individually develop a greyscale for acceptable and less acceptable image manipulation and defend it
- Review of the workshop where you can give feedback
Preparation
If you want to participate in testing software, you will need to bring your own laptop.
Participants will be expected to do the following ahead of the workshop:
-
Install the software ImageJ and plugin InspectJ (https://imagej.nih.gov/ij/index.html; https://github.com/ZMBH-Imaging-Facility/InspectJ)
-
Bring an example of an image that is considered manipulated or where there is a discussion going on whether the image is manipulated. We will use those examples in the group exercise.
-
Read chapters 1 - Introduction and 2 - State of the Art in Seadle, M.S. (2017). Quantifying research integrity. San Rafael, California: Morgan & Claypool. The book is available via HU network (or VPN). Follow this link to access it.
Optional:
-
Read chapter 5 - Quantifying Image Manipulation.
- Read chapter 3 - Case studies. Image Manipulation in Scholarly Works in Beck, Thorsten Stephan. Shaping Images: Scholarly Perspectives on Image Manipulation. Berlin: De Gruyter Saur, 2016.
Registration closed
Information on the trainers
All
three trainers are part of the HEADT Centre team. The HEADT Centre is
the Humboldt-Elsevier Advanced Data and Text Centre. You can read more
about the HEADT Centre and its objectives on our website: https://headt.eu/
Prof. Michael Seadle, PhD is a professor and senior researcher at the Berlin School of Library and Information Science at Humboldt-Universität zu Berlin. He is one of the Principal Investigators of the HEADT Centre and wrote the book Quantifying Research Integrity (published in San Rafael, California, by Morgan & Claypool, 2017). Michael Seadle is also the executive director of the iSchools Inc. (https://ischools.org/).
Dr. Thorsten Beck is a researcher at the HEADT Centre working on image manipulation. He manages the Image Integrity Database project that the HEADT Centre is currently building up. He did his doctorate on image manipulation and published his dissertation with the title Shaping Images - Scholarly Perspectives on Image Manipulation (published in Berlin by De Gruyter Saur, 2016).
Melanie Rügenhagen (M.A.) is the manager of the HEADT Centre and a doctoral candidate at the Berlin School of Library and Information Science at Humboldt-Universität zu Berlin. She is concerned with data integrity and specifically does research on the quality of qualitative research.