Editors’ Pick: Our Favourite Psychology and Neuroscience Podcasts


As students of psychology, we are accustomed to poring through journal articles and course-approved textbooks to stay up-to-date on the latest developments in the field. While these resources are the cornerstones of scientific research, there are myriad other ways to enhance our understanding of our chosen disciplines – namely through podcasts!

Although a relatively new arrival to the field of science, podcasts have been wholly embraced by the scientific community with many major journals such as Nature, Cell and PNAS, featuring podcast programmes tailored to interested members of the community. One of the reasons that podcasts are so successful is that they offer an alternative portal to the scientific world. Not only do they document and discuss current research findings by visiting labs and reporting from the field, but they also take the listener behind-the-scenes by interviewing leading scientific experts who work in a wide range of disciplines.

Furthermore, podcasts are particularly beneficial to aspiring researchers and clinicians as they cover a wide breadth of pertinent topics, which are communicated in a manner that is accessible to students.

We at JEPS have compiled a list of our favourite podcasts, for those of you who are interested in boosting your brains via a lively and enjoyable medium. The podcasts detailed below are suitable for both undergraduate and graduate students of psychology and neuroscience. In addition, each of these podcasts can be downloaded from the podcasts app on IOS and android devices or directly from the websites (all of which are listed below).


Radiolab is hosted by Jad Abumrad and Robert Krulwich and it is produced by WNYC. The show focusses on topics that are predominantly scientific and philosophical in nature, thus it is an enticing option for both students of psychology and neuroscience. What differentiates this podcast from many others is its distinctive production style. Interviews are interspersed with stories, thought experiments, and original music such that listeners of all ages and backgrounds remain engaged from start to finish. The programme succeeds in communicating often complicated and ambitious topics to a global audience, which makes it an ideal starting point for anyone looking for a smooth transition into the thought-provoking world of podcasts.

Sample Episodes:

Episode Length: Full Episodes (One Hour); Shorts (15 – 30 minutes)

Brain Science

The Brain Science Podcast is hosted by Ginger Campbell MD. During this time, the host interviews a leading expert about their work in a brain-related field, with topics ranging from brain plasticity, chemistry, imaging and cell biology to developmental and neurodegenerative disorders. This immersive and informative podcast caters for listeners of all backgrounds by summarising key ideas in the field as well as sharing recent discoveries from neuroscience research.

Sample episodes:

Episode Length: 40 minutes to one hour

Philosophy Bites

Philosophy Bites is hosted and produced by philosophers David Edmonds and Nigel Warburton. As students of psychology, we often become fixated on a particular research topic, which exists in a highly specialised field of study. While we may believe that other methods and disciplines are irrelevant to our particular research goals, this could not be further from the truth. It is for this reason that Philosophy Bites is essential listening for all students of psychology. This podcast highlights the importance of philosophical thinking for current day psychological research. In many ways, the topics discussed by the hosts provide an overarching context for the objectives and goals harboured by modern-day psychology.

Sample episodes:

Episode Length: 15 – 25 minutes (approximately)

Naked Neuroscience Enhanced

Naked Neuroscience Enhanced is a strand of the popular Cambridge University and BBC radio show Naked Scientists, hosted by Hannah Critchlow, PhD. The aim of this podcast is to disseminate neuroscience research findings in an engaging and lively manner to a global public audience. This podcast is highly interactive, which makes it invaluable to undergraduate students who are interested in better understanding how the brain and nervous system work. Often recorded on the road, the listeners are transported to all corners of the globe, from a brain bank in New Zealand to a yogic laughter clinic in Cambridge.

Sample Episodes

Episode Length: 30 minutes (on average)

Brain Matters

The Brain Matters Podcast is hosted by Matt Davis and Anthony Lacagnina. This podcast is suitable for both undergraduate and graduate students, however as the topics are quite specialized, they may be of more interest to graduate students of neuroscience. What differentiates this podcast from both Brain Science and Naked Neuroscience Enhanced is that this program is hosted and produced by graduate students at the University of Texas at Austin. This angle is particularly beneficial to students as the hosts place a considerable emphasis on discussing the career trajectory of the interviewee, which provides a valuable insight into the challenges and rewards of life as a research scientist.

Sample episodes:

Episode Length: 40 minutes (on average)

All in the Mind

All in the Mind is hosted by psychologist Claudia Hammond and produced by the BBC. The aim of this podcast is to communicate psychological research to a global audience on current research in the field. Similar to the neuroscience-focused podcasts, All in the Mind features interviews with many leading researchers on topics ranging from mental health policies and media portrayals of mental health to body dysmorphic disorder and perinatal obsessive compulsive disorder. Although this podcast would be engaging for both undergraduate and graduate students of psychology and neuroscience, it would particularly appeal to students with an interest in clinical, counselling and health psychology.

Sample episodes:

Episode Length: 28 minutes (exactly)

Are there any other podcasts that we forgot to include and that you think deserve a mention? Please include any suggestions in the comments!

Introducing JASP: A free and intuitive statistics software that might finally replace SPSS

Are you tired of SPSS’s confusing menus and of the ugly tables it generates? Are you annoyed by having statistical software only at university computers? Would you like to use advanced techniques such as Bayesian statistics, but you lack the time to learn a programming language (like R or Python) because you prefer to focus on your research?

While there was no real solution to this problem for a long time, there is now good news for you! A group of researchers at the University of Amsterdam are developing JASP, a free open-source statistics package that includes both standard and more advanced techniques and puts major emphasis on providing an intuitive user interface.

The current version already supports a large array of analyses, including the ones typically used by researchers in the field of psychology (e.g. ANOVA, t-tests, multiple regression).

In addition to being open source, freely available for all platforms, and providing a considerable number of analyses, JASP also comes with several neat, distinctive features, such as real-time computation and display of all results. For example, if you decide that you want not only the mean but also the median in the table, you can tick “Median” to have the medians appear immediately in the results table. For comparison, think how this works in SPSS: First, you must navigate a forest of menus (or edit the syntax), then, you execute the new syntax. A new window appears and you get a new (ugly) table.


In JASP, you get better-looking tables in no time. Click here to see a short demonstration of this feature. But it gets even better—the tables are already in APA format and you can copy and paste them into Word. Sounds too good to be true, doesn’t it? It does, but it works!

Interview with lead developer Jonathon Love

Where is this software project coming from? Who pays for all of this? And what plans are there for the future? There is nobody who could answer these questions better than the lead developer of JASP, Jonathon Love, who was so kind as to answer a few questions about JASP.

How did development on JASP start? How did you get involved in the project?

All through my undergraduate program, we used SPSS, and it struck me just how suboptimal it was. As a software designer, I find poorly designed software somewhat distressing to use, and so SPSS was something of a thorn in my mind for four years. I was always thinking things like, “Oh, what? I have to completely re-run the analysis, because I forgot X?,” “Why can’t I just click on the output to see what options were used?,” “Why do I have to read this awful syntax?,” or “Why have they done this like this? Surely they should do this like that!”

At the same time, I was working for Andrew Heathcote, writing software for analyzing response time data. We were using the R programming language and so I was exposed to this vast trove of statistical packages that R provides. On one hand, as a programmer, I was excited to gain access to all these statistical techniques. On the other hand, as someone who wants to empower as many people as possible, I was disappointed by the difficulty of using R and by the very limited options to provide a good user interface with it.

So I saw that there was a real need for both of these things—software providing an attractive, free, and open statistics package to replace SPSS, and a platform for methodologists to publish their analyses with rich, accessible user interfaces. However, the project was far too ambitious to consider without funding, and so I couldn’t see any way to do it.

Then I met E.J. Wagenmakers, who had just received a European Research Council grant to develop an SPSS-like software package to provide Bayesian methods, and he offered me the position to develop it. I didn’t know a lot about Bayesian methods at the time, but I did see that our goals had a lot of overlap.

So I said, “Of course, we would have to implement classical statistics as well,” and E.J.’s immediate response was, “Nooooooooooo!” But he quickly saw how significant this would be. If we can liberate the underlying platform that scientists use, then scientists (including ourselves) can provide whatever analyses we like.

And so that was how the JASP project was born, and how the three goals came together:

  • to provide a liberated (free and open) alternative to SPSS
  • to provide Bayesian analyses in an accessible way
  • to provide a universal platform for publishing analyses with accessible user interfaces


What are the biggest challenges for you as a lead developer of JASP?

Remaining focused. There are hundreds of goals, and hundreds of features that we want to implement, but we must prioritize ruthlessly. When will we implement factor analysis? When will we finish the SEM module? When will data entry, editing, and restructuring arrive? Outlier exclusion? Computing of variables? These are all such excellent, necessary features; it can be really hard to decide what should come next. Sometimes it can feel a bit overwhelming too. There’s so much to do! I have to keep reminding myself how much progress we’re making.

Maintaining a consistent user experience is a big deal too. The JASP team is really large, to give you an idea, in addition to myself there’s:

  • Ravi Selker, developing the frequentist analyses
  • Maarten Marsman, developing the Bayesian ANOVAs and Bayesian linear regression
  • Tahira Jamil, developing the classical and Bayesian contingency tables
  • Damian Dropmann, developing the file save, load functionality, and the annotation system
  • Alexander Ly, developing the Bayesian correlation
  • Quentin Gronau, developing the Bayesian plots and the classical linear regression
  • Dora Matzke, developing the help system
  • Patrick Knight, developing the SPSS importer
  • Eric-Jan Wagenmakers, coming up with new Bayesian techniques and visualizations

With such a large team, developing the software and all the analyses in a consistent and coherent way can be really challenging. It’s so easy for analyses to end up a mess of features, and for every subsequent analysis we add to look nothing like the last. Of course, providing as elegant and consistent a user-experience is one of our highest priorities, so we put a lot of effort into this.


How do you imagine JASP five years from now?

JASP will provide the same, silky, sexy user experience that it does now. However, by then it will have full data entering, editing, cleaning, and restructuring facilities. It will provide all the common analyses used through undergraduate and postgraduate psychology programs. It will provide comprehensive help documentation, an abundance of examples, and a number of online courses. There will be textbooks available. It will have a growing community of methodologists publishing the analyses they are developing as additional JASP modules, and applied researchers will have access to the latest cutting-edge analyses in a way that they can understand and master. More students will like statistics than ever before.


How can JASP stay up to date with state-of-the-art statistical methods? Even when borrowing implementations written in R and the like, these always have to be implemented by you in JASP. Is there a solution to this problem?

Well, if SPSS has taught us anything, you really don’t need to stay up to date to be a successful statistical product, ha-ha! The plan is to provide tools for methodologists to write add-on modules for JASP—tools for creating user interfaces and tools to connect these user interfaces to their underlying analyses. Once an add-on module is developed, it can appear in a directory, or a sort of “App Store,” and people will be able to rate the software for different things: stability, user-friendliness, attractiveness of output, and so forth. In this way, we hope to incentivize a good user experience as much as possible.

Some people think this will never work—that methodologists will never put in all that effort to create nice, useable software (because it does take substantial effort). But I think that once methodologists grasp the importance of making their work accessible to as wide an audience as possible, it will become a priority for them. For example, consider the following scenario: Alice provides a certain analysis with a nice user interface. Bob develops an analysis that is much better than Alice’s analysis, but everyone uses Alice’s, because hers is so easy and convenient to use. Bob is upset because everyone uses Alice’s instead of his. Bob then realizes that he has to provide a nice, accessible user experience for people to use his analysis.

I hope that we can create an arms race in which methodologists will strive to provide as good a user experience as possible. If you develop a new method and nobody can use it, have you really developed a new method? Of course, this sort of add-on facility isn’t ready yet, but I don’t think it will be too far away.


You mention on your website that many more methods will be included, such as structural equation modeling (SEM) or tools for data manipulation. How can you both offer a large amount of features without cluttering the user interface in the future?

Currently, JASP uses a ribbon arrangement; we have a “File” tab for file operations, and we have a “Common” tab that provides common analyses. As we add more analyses (and as other people begin providing additional modules), these will be provided as additional tabs. The user will be able to toggle on or off which tabs they are interested in. You can see this in the current version of JASP: we have a proof-of-concept SEM module that you can toggle on or off on the options page. JASP thus provides you only with what you actually need, and the user interface can be kept as simple as you like.


Students who are considering switching to JASP might want to know whether the future of JASP development is secured or dependent on getting new grants. What can you tell us about this?

JASP is currently funded by a European Research Council (ERC) grant, and we’ve also received some support from the Centre for Open Science. Additionally, the University of Amsterdam has committed to providing us a software developer on an ongoing basis, and we’ve just run our first annual Bayesian Statistics in JASP workshop. The money we charge for these workshops is plowed straight back into JASP’s development.

We’re also developing a number of additional strategies to increase the funding that the JASP project receives. Firstly, we’re planning to provide technical support to universities and businesses that make use of JASP, for a fee. Additionally, we’re thinking of simply asking universities to contribute the cost of a single SPSS license to the JASP project. It would represent an excellent investment; it would allow us to accelerate development, achieve feature parity with SPSS sooner, and allow universities to abandon SPSS and its costs sooner. So I don’t worry about securing JASP’s future, I’m thinking about how we can expand JASP’s future.

Of course, all of this depends on people actually using JASP, and that will come down to the extent that the scientific community decides to use and get behind the JASP project. Indeed, the easiest way that people can support the JASP project is by simply using and citing it. The more users and the more citations we have, the easier it is for us to obtain funding.

Having said all that, I’m less worried about JASP’s future development than I’m worried about SPSS’s! There’s almost no evidence that any development work is being done on it at all! Perhaps we should pass the hat around for IBM.


What is the best way to get started with JASP? Are there tutorials and reproducible examples?

For classical statistics, if you’ve used SPSS, or if you have a book on statistics in SPSS, I don’t think you’ll have any difficulty using JASP. It’s designed to be familiar to users of SPSS, and our experience is that most people have no difficulty moving from SPSS to JASP. We also have a video on our website that demonstrates some basic analyses, and we’re planning to create a whole series of these.

As for the Bayesian statistics, that’s a little more challenging. Most of our effort has been going in to getting the software ready, so we don’t have as many resources for learning Bayesian statistics ready as we would like. This is something we’ll be looking at addressing in the next six to twelve months. E.J. has at least one (maybe three) books planned.

That said, there are a number of resources available now, such as:

  • Alexander Etz’s blog
  • E.J.’s website provides a number of papers on Bayesian statistics (his website also serves as a reminder of what the internet looked like in the ’80s)
  • Zoltan Dienes book is a great for Bayesian statistics as well

However, the best way to learn Bayesian statistics is to come to one of our Bayesian Statistics with JASP workshops. We’ve run two so far and they’ve been very well received. Some people have been reluctant to attend—because JASP is so easy to use, they didn’t see the point of coming and learning it. Of course, that’s the whole point! JASP is so easy to use, you don’t need to learn the software, and you can completely concentrate on learning the Bayesian concepts. So keep an eye out on the JASP website for the next workshop. Bayes is only going to get more important in the future. Don’t be left behind!


Bayesian Statistics: Why and How


Bayesian statistics is what all the cool kids are talking about these days. Upon closer inspection, this does not come as a surprise. In contrast to classical statistics, Bayesian inference is principled, coherent, unbiased, and addresses an important question in science: in which of my hypothesis should I believe in, and how strongly, given the collected data?  Continue reading

How not to worry about APA style

If you have gone through the trouble of picking up a copy of the Publication Manual of the American Psychological Association (APA, 2010), I’m sure your first reaction was similar to mine: “Ugh! 272 pages of boredom.” Do people actually read this monster? I don’t know. I don’t think so. I know I haven’t read every last bit of it. You may be relieved to hear that your reaction resonates with some of the critique that has been voiced by senior researchers in Psychology, such as Henry L. Roediger III (2004). But let’s face it: APA style is not going anywhere. It is one of the major style regimes in academia and is used in many fields other than Psychology, including medical and other public health journals. And to be fair, standardizing academic documents is not a bad idea. It helps readers to efficiently access the desired information. It helps authors by making the journal’s expectations regarding style explicit, and it helps reviewers to concentrate on the content of a manuscript. Most importantly, the guidelines set a standard that is accepted by a large number of outlets. Imagine a world in which you had to familiarize yourself with a different style every time you chose a new outlet for your scholarly work. Continue reading

Of Elephants and Effect Sizes – Interview with Geoff Cumming

We all know these crucial moments while analysing our hard-earned data – the moment of truth – is there a star above the small p? Maybe even two? Can you write a nice and simple paper or do you have to bend your back to explain why people do not, surprisingly, behave the way you thought they would? It all depends on those little stars, below or above .05, significant or not, black or white. Continue reading

Interview with Prof. Dermot Barnes-Holmes


Prof. Dermot Barnes-Holmes was a Foundation Professor at the Department of Psychology at National University of Ireland, Maynooth. He is known for his research in human language and cognition through the development of the Relational Frame Theory (RFT) with Steven C. Hayes, and its applications in various psychological settings. barnes_holmes_pic_edit

What I enjoy most about my job as a researcher … Supervising research students who are passionate about and genuinely interested in their research. Sharing what is often a voyage of intellectual discovery for both the student and me is still, after all these years, by far the most stimulating and enjoyable feature of what I do as an academic. Continue reading

Interview with Prof. Alice Mado Proverbio

Prof. Alice Mado Proverbio has a degree in Experimental Psychology from the University of Rome “La Sapienza” and a PhD in General Psychology from the University of Padua. She did her Post Doctoral training at the University of California at Davis and at the University of Padua. As a research scientist at the University of Trieste, she guided the Cognitive Electrophysiology Laboratory from 1996 to 2000. Since 2001, she is Associate Professor of Psychobiology and Physiological Psychology at University of Milano-Bicocca. She founded the “Cognitive Electrophysiology” Lab at the same University in 2003. In 2014, she received the Habilitation as full Professor.

What I enjoy most about my job as a researcher …  Without a doubt what I enjoy most about my job as a researcher is the possibility to create and devise new experiments, to test new exciting ideas, to challenge pre-existing models with new hypotheses that I gather from discussions with people, but especially from a lot of reading and listening to insightful talks. Continue reading

Interview with Prof. Csikzentmihalyi


Prof. Mihaly Csikszentmihalyi is the Distinguished Professor of Psychology and Management at Claremont Graduate University and was the former head of the department of psychology at the University of Chicago. He is noted for his research on happiness and creativity, on which he published over 120 scientific articles and book chapters. He is also well known for introducing the concept of flow in his seminal work “Flow: The Psychology of Optimal Experience“. Csikszentmihalyi_Mihaly_WEB

What I enjoy most about my job as a researcher …  two things: the early analysis of data, when you are looking for patterns — exploring the psychological landscape, so to speak. Then the last part, when you start writing and trying to find the best way to express what you have learned. Continue reading

Interview with Dr. Deirdre Barrett

Dr. Deirdre Barret is a researcher and lecturer at Harvard Medical School. She is well known for her research on dreams, hypnosis, and imagery. More recently she has written about evolutionary psychology and technology. She has also written severa successful books for the general public. deirdre barrett outside ucl 3a

What I enjoy most about my job as a researcher …  Any questions I have—in my case about dreams—I can come up with a way to operationalize the question and get an answer. Continue reading

Make the Most of Your Summer: Summer Schools in Europe

11051177_10205216017873360_1194271846_mWhy should you attend Summer Schools?

To put it simply: there is no better way to learn about psychology (and related disciplines), to travel, and to meet new people, all at the same time! Summer schools offer the opportunity to explore areas of psychology that might not be taught at your university, or to really explore a subject, seeing as this scheme allows you to  focus your work on one topic in the company of students who are enthusiastic about the same subject. Last year, I attended a summer school on Law, Criminology and Psychology – coming from Germany, where Criminology is in the Law faculty, that was my opportunity to learn more about eye-witness accounts, lie detection, psychopathy, and how to interrogate children. Aside from classic lectures, summer schools often include seminars and group work. Continue reading