EGPROC submission deadline extended (April 30)

The 36th meeting of the European Group of Process Tracing Studies (EGPROC) will take place in Galway, Ireland from the 22nd to the 24th of June 2017 and we are delighted to announce two special guests: Prof. Neil Stewart of Warwick University, and Dr. KongFatt Wong-Lin of Ulster University.

Due to numerous requests, the deadline for abstract submission has been extended until the 30th of April.

If you have not done so already, we invite you to submit your abstract through the conference website

Please share this information with other researchers who might be interested in the topic.

We look forward to having you in Galway, Ireland.

EGPROC 2017 organizing committee:
Denis O’Hora (,
Arkady Zgonnikov (,
Avril Hand (,
Santi Garcia (

If you ever wondered about EADM’s mission

The purpose of the Association is the advancement and diffusion of knowledge about human judgement and decision making and providing support for the exchange of information relating to this subject between the members and other associations throughout the world, as well as between members and other interested institutions and/or individuals. The Association is a non-profit organisation made up of interested researchers.

The Association aims to reach the goals mentioned above by:

  • the organisation and/or facilitation of meetings, workshops, summer-schools and conferences.
  • the promotion of scientific communication and research collaboration between members and between members and other scientists, policy makers, practitioners, and stakeholders.
  • the promotion of all (lawful) activities among members to help advise non-members (institutions and individuals) in accordance with the main goals of the Association.
  • co-operation with other associations and institutions within and outside Europe.

The specific activities of the EADM are:

  • the organisation of biannual conferences on Subjective Probability, Utility and Decision Making (SPUDM).
  • sponsoring the de Finetti Prize for promising PhD students.
  • sponsoring the Jane Beattie mid-career award in recognition of “innovation in decision research”, as broadly understood.
  • sponsoring the Wagenaar Award for travel to SPUDM
  • sponsoring the EADM/SJDM Jane Beattie travel award for travel to the SJDM annual conference.
  • supporting small-scale workshops.
  • organizing a bi-annual Summer-school on judgment and decision-making.
  • maintaining an electronic mailing list for EADM members.
  • maintaining a website featuring news and information for members and non-members
  • supporting the open access scientific journal Judgment and Decision Making, the journal of the Society for Judgment and Decision Making (SJDM) and the European Association for Decision Making (EADM).

The EADM Interview: Dirk Wulff


1) Who are you, and what do you do?

My name is Dirk Wulff. I am a PostDoc at the Center for Adaptive Rationality at the Max Planck Institute of Human Development. I study experience-based decision making and semantic memory.

Within experienced-based decision making I focus quite a bit on exploration and information search. One aspect I am currently interested in is the impact of different stopping rules on the experiences that we make. We all know the problem of assessing the result of an experiment sample-by-sample. The same problem pertains to experience-based decision making. When we explore multiple options before making a choice, a stopping rule that is based on the perceived difference between the options will make the option appear more distinct then they actually are. What we experience can thus be influenced by what we wanted to experience.

Although I work mainly on decision making, I originally moved into research for my fascination with the study of semantic memory. Therefore, I feel lucky to be collaborating on a number of projects on the organization of semantic memory across the lifespan. One project that I find particularly cool is In this project researchers from many countries work together to obtain human-generated semantic networks for all words in 8 different languages. I help running the German version.

2) What do you consider your most important research tool(s) on your computer?

Hands down R. You have a new idea and you don’t know how it pans out – simulate it with R. You have a theory and you don’t whether it fits the data – model it with R. You have a nice result and want to show it exactly as you want to – plot it with R (base, not ggplot2). Writing code may actually be my favorite part of doing research – I mean aside from getting up late and coffee breaks – and R is perfect for it. Some time ago I also started using Python for natural language processing. The syntax is much more simple and elegant. Everything around the language, e.g., packages or available IDEs, is however nowhere near the convenience of using R (and RStudio).

3) What do you consider your most important research tool(s) outside of your computer?

A café. For some reason my mind is clearest, when working in my favorite café surrounded by chatting strangers. I sometimes joke that this is, because it lets me feel that I have a live outside of academia. The more likely reason however is: there is no Internet.

4) What is your favorite tip for getting writing done?

Force yourself. Or have someone else force you. Still desperately looking for alternative solutions.

Dirk’s CV

Favorite publication

Wulff, D. U., Hills, T. T., & Hertwig, R. (2015). How short- and long-run aspirations impact search and choice in decisions from experience. Cognition, 144, 29-37.

The EADM Interview: Peter Wakker


1) Who are you, and what do you do?

I am the grandson of

I will convert all of mankind, including all statisticians, to Bayesianism.
I will introduce the idea of conservation of influence.

2) What do you consider your most important research tool(s) on your computer?  Delete-key.

3) What do you consider your most important research tool(s) outside of your computer?

4)  What is your favorite tip for getting writing done?
Do not force yourself to write; it will not work.
Only forbid yourself to do anything other than writing.

Peter’s CV

The best paper that I ever co-authored was
Abdellaoui, Mohammed & Peter P. Wakker (2005). The Likelihood Method for Decision under Uncertainty. Theory and Decision, 58, 3–76.

It is also my least-cited paper. Explanation (to console myself): In those days the journal printed half per page what other journals did.  In another journal the paper would have taken 37 pages not 74.  No-one prints 74 pages for one paper.

The EADM Interview: Bettina von Helversen

BettinavHelversen1)    Who are you, and what do you do?

I’m a researcher at Basel University working at the Center for Economic Psychology. I investigate the cognitive processes underlying judgments and decisions and how they are shaped by the characteristics of the task and the abilities of the decision maker. A large part of my work focuses on when people rely on rule- and exemplar-based processing in judgment and understanding the memory processes underlying these processes. One project I’m currently working on aims on trying to understand when memories about previously encountered instances are likely to influence the decision process and how this depends on affective experiences when encountering the exemplars. In addition I’m interested in how and when people search for information and how this in influenced by affect and stress.

2)    What do you consider your most important research tool(s) on your computer?

After reading that question I got curious which programs I’m actually using on a daily basis and I downloaded an app that allowed me to track the programs I’m using (TimeSink). A one week trial run suggested that I used the following programs in order of frequency: Firefox, Mail, Word, Powerpoint, Preview (a pdf viewer), Mendeley, Excel, Skype, SPSS and Matlab. Overall, that seems about right, although the order probably changes quite a bit with the projects I’m working on and the amount of teaching I’m preparing. Taking office for granted, I could not imagine doing research without Mendeley, Skype or Matlab anymore.

3)    What do you consider your most important research tool(s) outside of your computer?

Well there is of course the lab without which I would not have much data, but even more important are the people I work with (though they are no tools). For me research works best as a collaborative effort in a team of two to three people.

4)    What is your favorite tip for getting writing done?

I have to admit I’m struggling quite a bit with writing. To get writing done I need to find a day without meetings and preferably no evening plans that allow me an early escape.Additionally, I can recommend fast working coauthors. The knowledge that someone is waiting usually gets me to get my part done much faster and it works even better if the other person was really fast in doing their part.

Bettina’s webpage

Bettina’s favorite paper:

Scholz, A., von Helversen, B., & Rieskamp, J. (2015). Eye movements reveal memory-processes during similarity versus rule-based decision making. Cognition, 136,228-246. doi:10.1016/j.cognition.2014.11.019

The EADM Interview: Nathaniel Phillips

Nathaniel PhillipsWho are you, and what do you do?

My name is Nathaniel Phillips and I am a post-doctoral researcher at SPDS (Social Psychology and Decision Sciences) at the University of Konstanz in Germany. Thematically, I am interested in decisions under uncertainty, with a focus on information search, impression formation, and decision making. In other words, “How can organisms with limited time and cognitive limitations make good decisions in uncertain environments?” Methodologically, I try to use computational cognitive modelling, Bayesian graphical modelling, and agent-based simulations (I thank two summer schools, Lewandowsky and Farrell’s Computational Cognitive Modelling school and Wagenmakers and Lee’s Bayesian modelling school for introducing me to these techniques).

What do you consider your most important research tool(s) on your computer?

This is an easy one: Amazon mechanical turk (mTurk), and R (through RStudio). These two research tools completely changed how I envision psychological research. The mTurk allows virtually anyone (well, with an American bank account…) to obtain high quality data inexpensively from a highly diverse participant population. The mTurk has freed me from the physical and monetary demands of a computer lab, and has allowed me to program and conduct experiments in English while working in a non-English speaking city.

One note about the mTurk – some of my colleagues have wondered whether or not the low cost of mTurk data will lead to an explosion of a theoretical, p-hacked results. Indeed, if it only costs 5c per participant to collect data, why not run 64 conditions and only report the ones with significant results? Of course, p-hacking and the file-drawer problem existed long before the mTurk, but certainly the low cost of the mTurk makes this easier. However, mTurk p-hackers have a problem: anyone who questions the validity of their results can quickly and cheaply try to replicate the results using the exact same experimental materials on the exact same participant population. In short, if the original result was the result of a cheap mTurk p-hack, it can be rectified by an equally cheap mTurk replication.

The second most important research tool I have is R. Like most psychology students, my first stats courses used SPSS and I used SPSS through my Masters degree. At the beginning of my PhD, when I realised that all the senior researchers were using Matlab or R, I decided to make the switch to R (if for no other reason than to fit in). The first couple of months learning R were brutal – I went from feeling very comfortable with stats to a feeling like a complete beginner. That was definitely a hit to my ego, but after a few months of persistence and SPSS-reflex resistance, I made the complete switch and have been appreciating R more and more ever since.

There are just so many benefits to R and virtually no disadvantages (relative to SPSS, I’m sure some Python and Matlab users will find some drawbacks). R is free, constantly updated, allows you to make gorgeous plots, and is widely used by people working in all areas of research. However, I think the single best benefit of R is research transparency and replicability. Unlike SPSS analyses, R code can be easily stored and shared with others. If a colleague, or your notoriously forgetful future self wants to know how you conducted a certain analyses, just send them your code (properly commented of course).

I firmly believe that all undergraduate psychology students should be taught R from day-1 and should never be exposed to SPSS. So why aren’t we teaching students R? When I posed this question to one senior statistics instructor, he responded: “we can’t teach undergraduate students R because they won’t be able to or won’t want to use it.” Interesting … by the same argument, we should not teach statistics to psychology students.

I am confident that most students will learn how to conduct statistical analyses in R much faster than in SPSS. If a student can type “cor(x,y)” then she can calculate a correlation coefficient. If he can type “lm(y ~ x1 + x2 + x3)” he can conduct multiple regression. Bayesian stats? Not possible in SPSS and no problem in R, just type “BESTmcmc(x,y)” using Kruschke’s BEST R package and you’ve got a Bayesian “t-test” (see Kruschke, 2010). Additionally, because you can easily simulate data in R, you can easily program examples of important topics such as the central limit theorem and show students that it works.

Speaking of R, I recently started learning how to write in Latex using Sweave in RStudio and am kicking myself for not learning it earlier. For those who don’t know, Sweave is a way to incorporate R code into a Latex document. What’s really great about this setup is that it allows you embed your R analyses directly into your written document. For example, in Sweave you can write “The mean response time of distracted participants was \Sexpr{mean(response.time)}” where the result in \Sexpr{} is printed in plain text. The main benefit of Sweave is that it makes your analyses completely transparent to others, and your future self! If you use Sweave, you’ll never look back on an old document and wonder “How did I calculate that p-value?!” (not that you should be calculating p-values anyway…see Wagenmakers, 2007). You can always look at the Latex source code and see exactly where every analysis came from. For those that are interested in learning how to use Sweave, I recommend reading the short paper “Learning to Sweave in APA Style” by Ista Zahn

What do you consider your most important research tool(s) outside of your computer?

A moleskin journal and a mechanical pencil (with lots of erasers)

What is your favorite tip for getting writing done?

I think the best way to get writing done is to have firm deadlines and scheduled writing times. I learned these and many other great tips from Silviia’s book “How to Write a Lot

Nathaniel’s webpage

Nathaniel’s favorite paper:

Phillips, N.D., Hertwig, R., Kareev, Y. & Avrahami, J. (2014). Rivals in the dark: How competition influences search in decisions under uncertainty. Cognition, 133 (1), 104-119.

The EADM Interview: Sabine Scholl

Sabine SchollWho are you, and what do you do?

My name is Sabine G. Scholl and I’m a researcher working at the University of Mannheim, Germany. In my recent research, I’m particularly interested in advice giving situations. In this context, I focus primarily on intertemporal decisions, risk assessments, and decisions about preventive medical examinations. So far, I’m concentrating on the underlying cognitive processes but I plan to combine the laboratory data with behavioral data from real world settings.

Additionally, my research focuses on consumer decisions (financial and investment decisions and decisions involving risk), intuition in judgment and decision making, randomness judgments as well as the influence of cognitive feelings in judgment and decision making (including direct effects on judgments and decisions, and indirect effects on cognitive processes).

What do you consider your most important research tool(s) on your computer?

My most important tools are PsychInfo and Google, which help in getting an overview of all those interesting research articles in the internet. I can’t imagine how difficult it must have been some years ago when a search for literature was far more complicated and most papers were only available in libraries. However, the disadvantage is that my “to read-” folder increases tremendously every week and that I don’t manage to keep up with reading. Next to diving into the literature, I love analyzing data and writing software programs for my experiments. Therefore, SPSS and Visual Basic.Net are also very important for me. For instance, programming my own one-armed bandit or experimental software that reacts to participants’ responses during an experiment provides me with all the freedom I need for conducting my research. Last but not least, I would not survive without Microsoft Word and Dropbox, which help me to organize my thoughts and my incredibly numerous documents that I have accumulated over the last years.

What do you consider your most important research tool(s) outside of your computer?

One important „research tool“ outside of my computer is my daily train ride during which in the morning I use a calendar and a notebook to organize my day and to write down my thoughts. In the evening I review my day and start to redirect my thoughts away from work. But the most important research “tool“ is my husband who provides very valuable and important feedback on all the more or less elaborated thoughts and future research projects that go through my head.

What is your favorite tip for getting writing done?

What helped me a lot when I started my PhD was a „writing club“. In a kick-off meeting, my colleagues and I committed to a certain amount of writing time per day for the next month (e.g., 2 hours on 4 days per week). Additionally, person A was named as a reviewer for person B who served as a reviewer for person C. These roles changed every month. Such a „writing club“ with the self- and public commitment for a particular writing schedule helps to get used to writing (even in short time slots) and to improve writing skills. Today, it is important for me to write in a quiet place characterized by organized chaos, equipped with lots of food and drink so that I can work as long as I’m productive, to have deadlines, and to be committed towards collaborators.

Scholl, Sabine – CV

Sabine’s favorite paper:

Scholl, S. G. & Greifeneder, R. (2011). Disentangling the effects of alternation rate and maximum run length on judgments of randomness. Judgment and Decision Making, 6, 531-541.