In Indonesia again

This Thursday I returned from a two week trip to Indonesia. The second week on Monday I performed a small workshop on online research. The day after I attended the mini symposium in Jakarta, organized by Hendriyani from the University of Indonesia.
I presented a paper in progress about the news consumption by millennials compared to other generations.
I met with some journalists (CNN (not an official subsidiary), NET). The team from NET. made a video recording interviewing me about social media and fake news during the upcoming presidential election campaign in Indonesia. Let’s see whether they will air it.
Anyhow, it was a nice trip again. Hope to be back again 🙂

My courses in the 2019 Radboud Summer School

In 2019, I will offer two courses in the Radboud Summer School. The first course is the Social media theory and research. I have offered this course already for a couple of years to students at my department and at the Radboud Summer School.

Social Media Theory and Research

What does typical social media data tell us about politicians’, journalists’ and citizens’ engagement in society? During this course, you will learn how to look at these actors’ online behaviour, their expressed opinions and sentiments as well as their interconnectedness (online social networks), using a multi-theoretical approach. Furthermore, attention will be devoted to the potential that social media data provide but also to its limitations.

The second course is new: Data Science with R. I’ve been using R as my main statistical tool for years, and it’s amazing software to do all kinds of analyses, more versatile than SPSS. And for free.

Introduction to Data Science with R and Rstudio for the Social Sciences

Whether you are a social scientist, a business analyst or a data journalist, analyzing data is key to greater understanding of the world around us. To be able to understand quantitative data we need tools of high quality and, if possible, for free. R and R studio are free and multiplatform software applications for descriptive analysis, predictive, and causal analysis, and are increasingly adopted software tools for Data Science in academics, and business (e.g. Microsoft, Google).

I will teach these courses back to back, so you can take them consecutively. It may be interesting to do so, because some of the examples in the data science course will focus on social media data.

So, if you’re interested, stay tuned for more information about detailed content and how to enter the courses. This information will be available some time in January, 2019. More general information about the Radboud Summer School can be found here.

Visiting Berlin’s Weizenbaum Institute

So, my trips for doing science in the past few years have mostly been to the far east, such as South Korea, Japan and Indonesia. Today, my travels bring me to the near east: after eight years I have arrived in Berlin, Germany again, only 600 kilometers from home. Today, I start my short fellowship at the Weizenbaum Institute, on invitation by Ulrike Klinger.

It’s nice to spend a few weeks in Berlin, not like on vacation but as a temporary resident. I arrived on Friday, exploring the city by bike on Saturday, and on Sunday jogging in Grunewald. And it’s good to brush up my German language skills (it’s been a while since I watched Rappelkiste or Tatort)

My main activity here in Berlin will be to teach PhD students the intricate ways of R and RStudio. I’m looking forward to do it. I already met a few people who’ll participate.

In the mean time, I am revising the course, redoing all the slides using Markdown in R. This course will also be the backbone of the new Radboud Summer Course in 2019 about data science. More on early 2019 on this blog.

But, besides doing some science, I also enjoy visiting museums such as the Technology Museum. Visit it, but take your time: it’s LARGE.