Nepalese Participatory Planning

Definition Problems and Purpose History Participant Selection Deliberation, Decisions, and Public Interaction PP, as a process, offers various opportunities for people to participate, interact, deliberate and thereby influence the overall decision making process. Firstly, the local bodies communicate the policy and budget guidelines to the communities via the Ward Committee...

Korsgaard on animals and ethics

(Northern Virginia) I made some comments about animal rights and welfare at one of the Tisch Talks in the Humanities last week. I have contributed no original scholarship on this topic, nor even followed the vast literature closely. But in the course of a quick lit. review, I came across the line of argument that Christine Korsgaard has developed, and it struck me as persuasive. I’d put a central point like this:

  1. There are two kinds of beings, those that have wants and those that don’t.
  2. There are two kinds of beings, those that can “reason” and those that cannot (where to reason is to have reflexive thoughts, or the ability to assess wants, desires, etc. critically).

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Inert objects like rocks and stars neither have wants nor can they reason. It follows that nothing is good or bad for them. All members of the animal kingdom, including human beings, have wants. That implies that some things are good and bad for each of them. Perhaps we alone are rational, in the Kantian sense. In that case, we and not animals have moral duties. But our moral duties are not only to those who are rational, but to those who have wants, which includes animals.

(I put God in the space for “can reason,” but “has [no] wants,” because I’ve been reading Spinoza this winter, and that’s his view. It’s theologically plausible that if there’s a God, God has wants. In that case, God would be in the same zone with us.)

Kant wrote:

If a man shoots his dog because the animal is no longer capable of service, he does not fail in his duty to the dog, for the dog cannot judge, but his act is inhuman and damages in himself that humanity which it is his duty to show towards mankind. If he is not to stifle his human feelings, he must practice kindness towards animals, for he who is cruel to animals becomes hard also in his dealings with men.

Korsgaard is a major Kantian, but in her Tanner Lectures on “Fellow Creatures: Kantian Ethics and Our Duties to Animals” (2004) and subsequent work, she disagrees with Kant’s reasoning here. What is wrong with shooting the dog is not that the man somehow neglects his duties to other humans. He has done wrong by mistreating the dog. Just like the man, the dog has desires, and there are things that are good for the dog. The man has negated the dog’s good in his own interest.

It is likely that dogs do not have the capacity to reflect on or change what they want. Therefore a dog does not have the right or obligation to participate in creating moral norms that are binding on itself or the man. It “cannot judge” in the way that a person can. We don’t blame it (or genuinely esteem it) for acting like a dog; that is simply its nature. But the man’s duty to reflect on his own desires is precisely the duty to take others’ desires into account. It doesn’t matter whether the others can judge; it matters whether they have desires and goods. Likewise, our duties to other human beings are not contingent on their acting like Kantian rational subjects.

See also: latest thoughts on animal rights and welfare and my evolving thoughts on animal rights and welfare.

Learning Styles and Physics (or: Embracing Uncertainty)

Being back in the classroom as a student has given me lots of opportunities to reflect on different learning styles. Or, perhaps, more accurately, on my own learning style.

I tend to give my undergraduate field of physics a lot of credit in developing my academic style –  though, I suppose, it’s equally possible that this happened the other way around: that my initial learning style attracted me to physics in the first place.

But, regardless of the order of these items, I find that I am deeply comfortable with a high level of uncertainty in my learning process.

You can see, perhaps, why I think I may have gotten that from physics. Physics is complex, and messy, and, of course, deeply uncertain.

Most importantly, this uncertainty isn’t a mark of incompleteness or failure. Rather, the uncertainty is an inherent, integral part of the system. There is no Truth, only collections of probabilities.

It’s a feature, not a bug.

I’ve noticed myself frequently taking this approach while learning. I’m taking a fantastic Computer Science class right now for which I would be tempted to flippantly say that I have no idea what is going on.

Like Schrödinger’s cat, that statement is both true an untrue. Until observed directly, it is caught miraculously, simultaneously, equally, in both states.

I have no idea what is going on, but I’m totally keeping up.

And I don’t think it’s simply a matter of confidence – my inability to articulate at which extreme I lie isn’t just a problem of trusting my own talent in this area. While, of course, it’s impossible to fully disambiguate the two, it honestly feels most accurate to embrace both states: I have no idea what is going on, but I am totally keeping up.

While I have only a passing familiarity with the works of pedagogical theory, I don’t recall ever hearing anyone describe education in this way. (Please send me your resources if you have!).

I used to think of learning as an incremental, deliberate process – like climbing a latter or building a staircase. Each step of knowledge brought you a little closer to understanding.

Perhaps this is just the difference of being in a Ph.D. program, but I’ve come to rather think of learning as this:

Knowledge is a hazy, uncertain cloud. The process of learning isn’t simply building “towards” something, but rather it’s the process of coalescing and clarifying that cloud. It’s about feeling around for the edges; finding the shapes and patterns hidden within.

Someone told me recently that physics can learn anything. I don’t know if that’s true, but I do think that there’s something to accepting this state of uncertainty. To be comfortable being lost in foggy haze that you can neither articulate nor truly understand…but to stand in that cloud and find the patience to slowly, incrementally, find meaning in the noise –

Like bring a picture into focus.

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Learning Styles and Physics (or: Embracing Uncertainty)

Being back in the classroom as a student has given me lots of opportunities to reflect on different learning styles. Or, perhaps, more accurately, on my own learning style.

I tend to give my undergraduate field of physics a lot of credit in developing my academic style –  though, I suppose, it’s equally possible that this happened the other way around: that my initial learning style attracted me to physics in the first place.

But, regardless of the order of these items, I find that I am deeply comfortable with a high level of uncertainty in my learning process.

You can see, perhaps, why I think I may have gotten that from physics. Physics is complex, and messy, and, of course, deeply uncertain.

Most importantly, this uncertainty isn’t a mark of incompleteness or failure. Rather, the uncertainty is an inherent, integral part of the system. There is no Truth, only collections of probabilities.

It’s a feature, not a bug.

I’ve noticed myself frequently taking this approach while learning. I’m taking a fantastic Computer Science class right now for which I would be tempted to flippantly say that I have no idea what is going on.

Like Schrödinger’s cat, that statement is both true an untrue. Until observed directly, it is caught miraculously, simultaneously, equally, in both states.

I have no idea what is going on, but I’m totally keeping up.

And I don’t think it’s simply a matter of confidence – my inability to articulate at which extreme I lie isn’t just a problem of trusting my own talent in this area. While, of course, it’s impossible to fully disambiguate the two, it honestly feels most accurate to embrace both states: I have no idea what is going on, but I am totally keeping up.

While I have only a passing familiarity with the works of pedagogical theory, I don’t recall ever hearing anyone describe education in this way. (Please send me your resources if you have!).

I used to think of learning as an incremental, deliberate process – like climbing a latter or building a staircase. Each step of knowledge brought you a little closer to understanding.

Perhaps this is just the difference of being in a Ph.D. program, but I’ve come to rather think of learning as this:

Knowledge is a hazy, uncertain cloud. The process of learning isn’t simply building “towards” something, but rather it’s the process of coalescing and clarifying that cloud. It’s about feeling around for the edges; finding the shapes and patterns hidden within.

Someone told me recently that physics can learn anything. I don’t know if that’s true, but I do think that there’s something to accepting this state of uncertainty. To be comfortable being lost in foggy haze that you can neither articulate nor truly understand…but to stand in that cloud and find the patience to slowly, incrementally, find meaning in the noise –

Like bring a picture into focus.

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Missed the Tech Tuesday Balancing Act Call? Listen Now!

Earlier this week, NCDD hosted another installment of our Tech Tuesday call series, this time in partnership with IAP2. The call focused on an introduction to Balancing Act, the powerful online budgeting tool that Engaged Public created to help average citizens understand the financial choices that government balancing-act-logoofficial have to make, and we had a great call with over 55 NCDD and IAP2 members participating!

Engaged Public’s president Chris Adams gave an informative presentation about the history, purpose, and current uses of the Balancing Act tool, and he took us on a virtual walk through of the tool in action both from the front end and the back end. It was a wonderful chance to learn more about involving everyday people in public budgeting.

If you missed out on the call, don’t worry, we recorded the presentation and discussion, which you can see and hear by clicking here.

Tech_Tuesday_BadgeThanks again to Chris and his team for presenting, and to IAP2 for co-hosting the call with us!

To learn more about NCDD’s Tech Tuesday series and hear recordings of past calls, please visit www.ncdd.org/events/tech-tuesdays.

Conselho Nacional de Saúde – National Health Council

Definition The CNS is an organ linked to the Ministry of Health and consists of representatives of organizations and users, organizations representing health care workers, government and health service providers, and its chairman is elected from among the members of the Board. It is the responsibility of the Council, among...