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David Barash on Chalmer’s Hard Problem…
He’s a professor of evolutionary biology and psychology at the University of Washington. You can find his take on where we stand with current neuroscience here.
Overall, I agree with him.
No, we’re not yet at Mind Reading
This perhaps overly excited piece in the Economist got my attention. At it’s root are a series of studies that have come out over the past several years where machine learning has been used to “recognize” the signatures of concepts (like nouns) from many fMRI scans. Tom Mitchell’s work at Carnegie Mellon comes to mind.
While these are indeed exciting studies, the notion that we’re somehow at the threshold of ubiquitous “mind reading” and deception detection strikes me as far fetched. As an example, the concept of “banana” can surely be found in either an individual’s ground truth or a lie. While we might be able to pick out the brain activity signature of banana in both, we’d really have a great deal of difficulty figuring out which context was the lie.
Mentoring students in science soft skills
Yesterday I mentioned how European and North American science are joined at the hip. To walk around the Krasnow Institute, this is clear. Our students and faculty are truly international. And yes, that includes the rest of the world besides the EU, Canada and the United States. But I’d like to focus on one lacuna in how we handle advanced scientific training, both here and abroad:
Part and parcel of doctoral education here at Mason is training in the “soft skills” necessary to professionally succeed in science as it’s practiced here in the US. This includes grantsmanship aimed at US funding agencies such as NSF or the NIH. Crucially, we don’t, in general offer such soft skills for the European system (e.g. Framework 7).
By the same token, in my visits to Europe, I’ve noticed a complementary absence of such soft skill training for US sponsored research sources.
None of this would make much of a difference except for the fact that both here and in Europe, the trainee pool includes doctoral students and postdocs from everywhere. Hence, the New Yorker, I met briefly on one of my recent trips to Europe, will have a difficult time applying for her first NIH RO1 if she returns to the US. And our European trainees, while adept at preparing specific aims, intellectual merit and broader impacts (hallmarks of US NIH and NSF grant applications), will be in the dark as far as applying for EU support from Brussels.
This problem is even more acute for students from places other than the EU and North America. Simply put, we must train our students to succeed as scientists where ever they chose to put down roots.
Funding science: imagining the future
One of the problems with modern scientific inquiry is that it’s inherently costly, both in terms of labor and instrumentation (to say nothing of consumables like reagents). What that means in terms of the modern global economy is that cutting edge science, as it is currently funded, is difficult to sustain during times of economic crisis. Societies have a tough enough time taking care of basic needs. The fuzzy promises of science, where deliverables are really never honestly predictable, take second seat to jobs, food, energy and defense–even though all of these basic needs really depend on science and technology.
Really this problem is another version of humankind’s difficulty with the “discount curve”. I’d rather have my loaf of bread today than two loafs one year from now.
Nevertheless, long term human success as defined by access to basic needs, economic success, and having a high quality of life are quite constrained by our scientific success. For example, until we find a cure for Alzheimer’s disease, we will be spending an increasingly larger piece of the pie on chronic long term health care as we live longer. Those are resources that could be deployed quite usefully in other areas.
Similarly, with 7 billion human inhabitants of Earth, and the probable need to adapt our agriculture to climate change, we will need something beyond the “green revolutions” of the 1960’s to supply food, even at the current levels. To get the multitudes in developing nations out of poverty is an even greater challenge. Those advances will need to come from science.
Some major scientific challenges are currently internationally funded. These include large scale physics and astronomy, antarctic research and some energy projects.
In contrast, certain areas of science are not only underfunded (for example given the sheer size of the potential loss from global economic collapse, economics as a field is clearly underfunded), they are also funded in national isolation, with one country potentially duplicating the research activities of another.
Given how closely tied European science is to North American, it’s often quite astounding to me how many barriers exist to pooling funding resources across the Atlantic. These barriers are fractal in nature because they have similar characteristics at the very large scale all the way to the micro-level where individual university PI’s collaborate (or try to).
We have the WTO, IMF and World Bank to handle the challenges of globalism as far as trade and finance go. We have nothing comparable in firepower (size of the bazooka to use the current terminology) for international science–particularly as far as biomedical, and small-scale basic science is concerned.
We need it.
How might it be funded? Recently the notion of a Tobin, or transaction tax, has been floated as a way to avoid another Lehman Brothers Fall (referring to Fall 2008, but also a mighty economic fall). I’d prefer to see something like a global Tobin tax to fund science, across the globe. Not only might such a financial transactions tax reduce global volatility. It might also provide the bazooka to sustain science stably in an increasingly multipolar, unstable world.
Informal seminars
One of the very nice aspects of our scientific life at the Krasnow Institute are the informal talks that occur pretty much every day. I took this late afternoon photo yesterday. It looks like our Adaptive Systems Laboratory group under Professor Ken De Jong are getting together.
As Director, one of the great joys of my job is to learn a bit about all of the research that goes on here. And it’s quite a span, ranging from origin of life to origin of the 2008 financial crisis.
Sometimes a great seminar
Krasnow celebrated the 400th Monday seminar talk yesterday with one of the best I’ve ever seen: Elly Nedivi from MIT presented some of her terrific chronic in vivo imaging of individual neuron dynamics and showed pretty clearly what modern neuroscience can achieve.
One of her key enabling collaborators, Peter So is the brother of our own Krasnow faculty member, Paul So–small world networks!
A new web site for the Krasnow Institute for Advanced Study
It’s here. Enjoy!
Paul Allen Smackdown of the Singularity
From Technology Review, hat tip Andrew Sullivan: here. Bottom-line, the “complexity brake” will arrest our acceleration towards Kurzweil’s Singularity.
And the argument has as its basis, the complexity problem as far as a general theory of neuroscience is concerned.
Since I don’t share Kurzweil’s rosy vision of his Singularity, I’m pleased. In addition, this should keep us neuroscientists employed well into the future.
Daniel Kahneman’s cautionary tale in today’s NYT Magazine
The 2002 Nobel Laureate warns us to be wary of over-confident experts bearing advice, here.


