André Calero Valdez is Senior Researcher at the Chair of Communication Science and Human-Computer Interaction Center at RWTH Aachen University.
He studied computer science at RWTH Aachen University, specializing in software engineering and psychology. Due to his excellent degree, he was awarded a doctoral scholarship by the RWTH Aachen University. In his dissertation, André dealt with user-centered development and evaluation of a small-screen device for diabetes patients.
Since 2013, André has been working as a post-doctoral fellow at RWTH Aachen University and deals with the interface between algorithms and humans in different application areas. He works in the fields of empirical social research, technology acceptance, eHeatlh, industry 4.0, recommendation systems, information visualization and social media.
Since 2014 André is visiting professor at the Medical University Graz at the HCI-KDD Group with Prof. Dr. Andreas Holzinger, where his research focuses on the integration of computerized methods and machine learning in health care.
Since 2018 André is the research group leader of the junior research group “Digitale Mündigkeit”. In this research group, the interaction of recommendation algorithms, social bots, and fake news in social media are investigated.
PhD in Psychology (Dr. phil.), 2013
RWTH Aachen University
Dipl.-Inform in Computer Science, 2007
RWTH Aachen University
Übersetzt: André Calero Valdez (+ DeepL). Soll man nun Masken tragen oder nicht? Sicher, es ist kompliziert. Aber nicht so kompliziert, wie manche Leute unterstellen. Wir haben uns die Forschung angeschaut (siehe unsere Veröffentlichungen “Face Masks Against COVID-19: An Evidence Review” - mit 84 Referenzen! - und “Face masks for the public during the covid-19 crisis”). Hier ist eine Zusammenfassung der verschiedenen Evidenzströme und unsere Einschätzung, was das alles bedeutet.
Overview Since the term “Simulation” or modeling was used frequently in the media recently to get an understanding of the spread of covid-19, I have created an instructive agent-based model for the simulation of disease spread and limited hospital capacities. Since this model is only “instructive” for the purpose of understanding modeling, I have also created a video to explain the model and some implications due to the simplicity of the design.
The website regexr.com provides a well developed tool for testing regular expression on the fly. Even better, it has a set of working patterns and lets you store your own patterns for later reuse. I highly recommend to test it: https://regexr.com/
Overview Writing a research report using RMarkdown allows you to start your analysis even before you have collected the data. This is especially helpful in report writing and thesis writing. When you, web-crawler, or a panel are still collecting data, you can already start writing the thesis. However, writing results before having the data is somewhat challenging. Keep in mind that writing a discussion before having collected the data is a lot harder.
Today I updated the
rmdtemplates package on github. It now supports PocketMods: Tiny little 8 paged books that you can now author in Markdown.
Check it out at http://www.github.com/statisticsforsocialscience/rmd_templates
Funded Research Projects
Funded by the ICT Foundations of a Digitized Industry, Economy, and Society” by the profile area ICT. Funding Period: 2016-2017
Funded by the DFG and ther German Federal and State Governments. Between 2012-2017, I have worked in this project in the …