A Dissertation About Reflective Reasoning in Philosophy, Morality, & Bias

One of the things that I worked on in 2018 was a dissertation about the roles of reflective reasoning in philosophy, morality, and bias. Pending a follow-up study for one chapter, every chapter is written and has enjoyed at least one round of comments—and some of the chapters are under review. As the chapters find homes in journals, I will be sure to post preprints and links to the online publication on my blog and in my social media feeds. So, ya know, follow those if you want more updates. In this post, I’ll give you drafts of the abstracts for each chapter, so that you can get a birds-eye view of the dissertation project.†

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Multi-disciplinary Philosophy PhD Programs

One of my favorite researchers is Chandra Sripada. Sripada is a professor of both philosophy and psychiatry. My research also crosses the humanities-science divide(s). So, I often wonder how to replicate a multi-disciplinary career like Sripada’s. A look at Sripada’s CV reveals a career path involving multiple advanced degrees, internships/residencies, etc. If you are like me, then you (or your partner) might want a more efficient path to a career. In this post, I share advice about how to obtain multi-disciplinary training from philosophy graduate programs. Continue reading Multi-disciplinary Philosophy PhD Programs

Philosophy As Proto-Psychology

Philosophers are often trying to understand their intuitions about thought experiments. Traditionally, philosophers do this via introspection. But these days, some philosophers do it more scientifically: they survey people’s’ intuitions and use quantitative arguments for theories about the intuitions. In this post, I want to point out that one of philosophers’ traditional methods might be a kind of proto-psychology. And if that is right, you might wonder, “Is one method better than the other?” By the end of the post, you’ll know of at least one philosopher who argues that the more scientific approach is better. Continue reading Philosophy As Proto-Psychology

3 Obstacles For Research About Cheating & Morality

What if traveling abroad were somehow bad for you? Well, a series of studies seem to find that “[traveling abroad] can lead to [lying and cheating] by increasing moral relativism” (Lu et al 2017, 1, 3). This finding has just the right combination of intuitive plausibility and surprise for us to want to share it uncritically. So, instead, let’s take a look at the methods, measures, and philosophical nuances of the topic. As usual, a bit of reflection makes the finding a bit less exciting and it reveals a need for follow-up research.

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Free, online conference on the philosophy and science of mind!

The Minds Online conference starts today, has three week-long, and ends on September 29th. So mark your calendars and set aside some time to read and comment.

You will find that each Minds Online session has a keynote and a few contributed papers — each contributed paper with its own invited commenters. Papers are posted for advanced reading the Saturday before their session. And public commenting for each session runs from Monday (8am, EST) to Friday.

To be notified when papers go up, subscribe by email (in the menu) or to the Minds Online post RSS feed to receive be notified when papers go up. You can also subscribe to the Minds Online comment RSS feed to stay apprised of comments.

Conference hashtag: #MindsOnline2017. The full program is below: Continue reading Free, online conference on the philosophy and science of mind!

Experimental Philosophy 2.0: The Neuroscience of Philosophy

If our judgments are dependent on the brain, then maybe we can understand our judgments by studying our brains. Further, maybe we can understand our philosophical judgments by studying our brains. What do you think? Can neuroscience help us understand philosophy? Here are some studies which suggest that it can.

1.  Two Opposing Neural Networks/Judgments

Consider two different networks in the brain: the Default Mode Network (DMN) and the Task Positive Network (TPN). These networks are mutually inhibitory. When one network’s activity increases, the other network’s activity decreases. It’s a bit like a seesaw (Jack et al 2013).

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