Tag: evolution

Videos from the NIMBioS Workshop on Information and Entropy in Biological Systems

Videos from the April 8-10, 2015, NIMBioS workshop on Information and Entropy in Biological Systems are slowly starting to appear on YouTube.

John Baez, one of the organizers of the workshop, is also going through them and adding some interesting background and links on his Azimuth blog as well for those who are looking for additional details and depth

Additonal resources from the Workshop:

 

https://www.youtube.com/playlist?list=PLRyq_4VPZ9g-3869ozbY_eEp6jZhWL0UE

Popular Science Books on Information Theory, Biology, and Complexity

Previously, I had made a large and somewhat random list of books which lie in the intersection of the application of information theory, physics, and engineering practice to the area of biology.  Below I’ll begin to do a somewhat better job of providing a finer gradation of technical level for both the hobbyist or the aspiring student who wishes to bring themselves to a higher level of understanding of these areas.  In future posts, I’ll try to begin classifying other texts into graduated strata as well.  The final list will be maintained here: Books at the Intersection of Information Theory and Biology.

Introductory / General Readership / Popular Science Books

These books are written on a generally non-technical level and give a broad overview of their topics with occasional forays into interesting or intriguing subtopics. They include little, if any, mathematical equations or conceptualization. Typically, any high school student should be able to read, follow, and understand the broad concepts behind these books.  Though often non-technical, these texts can give some useful insight into the topics at hand, even for the most advanced researchers.

Complexity: A Guided Tour by Melanie Mitchell (review)

Possibly one of the best places to start, this text gives a great overview of most of the major areas of study related to these fields.

Entropy Demystified: The Second Law Reduced to Plain Common Sense by Arieh Ben-Naim

One of the best books on the concept of entropy out there.  It can be read even by middle school students with no exposure to algebra and does a fantastic job of laying out the conceptualization of how entropy underlies large areas of the broader subject. Even those with Ph.D.’s in statistical thermodynamics can gain something useful from this lovely volume.

The Information: A History, a Theory, a Flood by James Gleick (review)

A relatively recent popular science volume covering various conceptualizations of what information is and how it’s been dealt with in science and engineering.  Though it has its flaws, its certainly a good introduction to the beginner, particularly with regard to history.

The Origin of Species by Charles Darwin

One of the most influential pieces of writing known to man, this classical text is the basis from which major strides in biology have been made as a result. A must read for everyone on the planet.

Information, Entropy, Life and the Universe: What We Know and What We Do Not Know by Arieh Ben-Naim

Information Theory and Evolution by John Avery

The Touchstone of Life: Molecular Information, Cell Communication, and the Foundations of Life by Werner R. Loewenstein (review)

Information Theory, Evolution, and the Origin of Life by Hubert P. Yockey

The four books above have a significant amount of overlap. Though one could read all of them, I recommend that those pressed for time choose Ben-Naim first. As I write this I’ll note that Ben-Naim’s book is scheduled for release on May 30, 2015, but he’s been kind enough to allow me to read an advance copy while it was in process; it gets my highest recommendation in its class. Loewenstein covers a bit more than Avery who also has a more basic presentation. Most who continue with the subject will later come across Yockey’s Information Theory and Molecular Biology which is similar to his text here but written at a slightly higher level of sophistication. Those who finish at this level of sophistication might want to try Yockey third instead.

The Red Queen: Sex and the Evolution of Human Nature by Matt Ridley

Grammatical Man: Information, Entropy, Language, and Life  by Jeremy Campbell

Life’s Ratchet: How Molecular Machines Extract Order from Chaos by Peter M. Hoffmann

Complexity: The Emerging Science at the Edge of Order and Chaos by M. Mitchell Waldrop

The Big Picture: On the Origins of Life, Meaning, and the Universe Itself (Dutton, May 10, 2016) 

In the coming weeks/months, I’ll try to continue putting recommended books on the remainder of the rest of the spectrum, the balance of which follows in outline form below. As always, I welcome suggestions and recommendations based on others’ experiences as well. If you’d like to suggest additional resources in any of the sections below, please do so via our suggestion box. For those interested in additional resources, please take a look at the ITBio Resources page which includes information about related research groups; references and journal articles; academic, research institutes, societies, groups, and organizations; and conferences, workshops, and symposia.

Lower Level Undergraduate

These books are written at a level that can be grasped and understood by most with a freshmen or sophomore university level. Coursework in math, science, and engineering will usually presume knowledge of calculus, basic probability theory, introductory physics, chemistry, and basic biology.

Upper Level Undergraduate

These books are written at a level that can be grasped and understood by those at a junior or senor university level. Coursework in math, science, and engineering may presume knowledge of probability theory, differential equations, linear algebra, complex analysis, abstract algebra, signal processing, organic chemistry, molecular biology, evolutionary theory, thermodynamics, advanced physics, and basic information theory.

Graduate Level

These books are written at a level that can be grasped and understood by most working at the level of a master’s level at most universities.  Coursework presumes all the previously mentioned classes, though may require a higher level of sub-specialization in one or more areas of mathematics, physics, biology, or engineering practice.  Because of the depth and breadth of disciplines covered here, many may feel the need to delve into areas outside of their particular specialization.

Nicolas Perony: Puppies! Now that I’ve got your attention, complexity theory | TED

For those who are looking for a good, simple, and entertaining explanation of the concept of emergent properties and behavior within complexity theory (or Big History), I just came across a nice TED talk that simplifies complexity using a few animal examples including a cute puppy video as well as a bat and a meerkat example. The latter two also have implications for evolution and survival which are lovely examples as well.

[ted id=1916]

Richard Dawkins Interview: This Is My Vision Of “Life” | Edge.org

Bookmarked This Is My Vision Of "Life" by John Brockman (edge.org)
The Edge.org's interview with Richard Dawkins.
From “A Conversation With Richard Dawkins“ [4.30.15]

“My vision of life is that everything extends from replicators, which are in practice DNA molecules on this planet. The replicators reach out into the world to influence their own probability of being passed on. Mostly they don’t reach further than the individual body in which they sit, but that’s a matter of practice, not a matter of principle. The individual organism can be defined as that set of phenotypic products which have a single route of exit of the genes into the future. That’s not true of the cuckoo/reed warbler case, but it is true of ordinary animal bodies. So the organism, the individual organism, is a deeply salient unit. It’s a unit of selection in the sense that I call a “vehicle”.  There are two kinds of unit of selection. The difference is a semantic one. They’re both units of selection, but one is the replicator, and what it does is get itself copied. So more and more copies of itself go into the world. The other kind of unit is the vehicle. It doesn’t get itself copied. What it does is work to copy the replicators which have come down to it through the generations, and which it’s going to pass on to future generations. So we have this individual replicator dichotomy. They’re both units of selection, but in different senses. It’s important to understand that they are different senses.”

Richard Dawkins
Richard Dawkins

RICHARD DAWKINS is an evolutionary biologist; Emeritus Charles Simonyi Professor of the Public Understanding of Science, Oxford; Author, The Selfish Gene; The Extended Phenotype; Climbing Mount Improbable; The God Delusion; An Appetite For Wonder; and (forthcoming) A Brief Candle In The Dark.

Watch the entire video interview and read the transcript at Edge.org.

NIMBioS Workshop: Information Theory and Entropy in Biological Systems

Over the next few days, I’ll be maintaining a Storify story covering information related to and coming out of the Information Theory and Entropy Workshop being sponsored by NIMBios at the Unviersity of Tennessee, Knoxville.

For those in attendance or participating by watching the live streaming video (or even watching the video after-the-fact), please feel free to use the official hashtag #entropyWS, and I’ll do my best to include your tweets, posts, and material into the story stream for future reference.

For journal articles and papers mentioned in/at the workshop, I encourage everyone to join the Mendeley.com group ITBio: Information Theory, Microbiology, Evolution, and Complexity and add them to the group’s list of papers. Think of it as a collaborative online journal club of sorts.

Those participating in the workshop are also encouraged to take a look at a growing collection of researchers and materials I maintain here. If you have materials or resources you’d like to contribute to the list, please send me an email or include them via the suggestions/submission form or include them in the comments section below.

Resources for Information Theory and Biology

RSS Icon  RSS Feed for BoffoSocko posts tagged with #ITBio

 

Probability Models for DNA Sequence Evolution

Bookmarked Probability Models for DNA Sequence Evolution (Springer, 2008, 2nd Edition) by Rick Durrett (math.duke.edu)
While browsing through some textbooks and researchers today, I came across a fantastic looking title: Probability Models for DNA Sequence Evolution by Rick Durrett (Springer, 2008). While searching his website at Duke, I noticed that he’s made a .pdf copy of a LaTeX version of the 2nd edition available for download.   I hope others find it as interesting and useful as I do.

I’ll also give him a shout out for being a mathematician with a fledgling blog: Rick’s Ramblings.

Book Cover of Probability Models for DNA Sequence Evolution by Richard Durrett
Probability Models for DNA Sequence Evolution by Richard Durrett

Information Theory is the New Central Discipline

Replied to Information Theory is the new central discipline. by Nassim Nicholas Taleb (facebook.com)

INFORMATION THEORY is the new central discipline. This graph was from 20y ago in the seminal book Cover and Thomas, as the field was starting to be defined. Now Information Theory has been expanded to swallow even more fields.

Born in, of all disciplines, Electrical Engineering, the field has progressively infiltrating probability theory, computer science, statistical physics, data science, gambling theory, ruin problems, complexity, even how one deals with knowledge, epistemology. It defines noise/signal, order/disorder, etc. It studies cellular automata. You can use it in theology (FREE WILL & algorithmic complexity). As I said, it is the MOTHER discipline.

I am certain much of Medicine will naturally grow to be a subset of it, both operationally, and in studying how the human body works: the latter is an information machine. Same with linguistics. Same with political “science”, same with… everything.

I am saying this because I figured out what the long 5th volume of the INCERTO will be. Cannot say now with any precision but it has to do with a variant of entropy as the core natural generator of Antifragility.

[Revised to explain that it is not *replacing* other disciplines, just infiltrating them as the point was initially misunderstood…]

Nassim Nicholas Taleb via Facebook

[My comments posted to the original Facebook post follow below.]

I’m coming to this post a bit late as I’m playing a bit of catch up, but agree with it wholeheartedly.

In particular, applications to molecular biology and medicine are really beginning to come to a heavy boil in just the past five years. This particular year is the progenitor of what appears to be the biggest renaissance for the application of information theory to the area of biology since Hubert Yockey, Henry Quastler, and Robert L. Platzman’s “Symposium on Information Theory in Biology at Gatlinburg, Tennessee” in 1956.

Upcoming/recent conferences/workshops on information theory in biology include:

At the beginning of September, Christoph Adami posted an awesome and very sound paper on arXiv entitled “Information-theoretic considerations concerning the origin of life”  which truly portends to turn the science of the origin of life on its head.

I’ll note in passing, for those interested, that Claude Shannon’s infamous master’s thesis at MIT (in which he applied Boolean Algebra to electric circuits allowing the digital revolution to occur) and his subsequent “The Theory of Mathematical Communication” were so revolutionary, nearly everyone forgets his MIT Ph.D. Thesis “An Algebra for Theoretical Genetics” which presaged the areas of cybernetics and the current applications of information theory to microbiology and are probably as seminal as Sir R.A Fisher’s applications of statistics to science in general and biology in particular.

For those commenting on the post who were interested in a layman’s introduction to information theory, I recommend John Robinson Pierce’s An Introduction to Information Theory: Symbols, Signals and Noise (Dover has a very inexpensive edition.) After this, one should take a look at Claude Shannon’s original paper. (The MIT Press printing includes some excellent overview by Warren Weaver along with the paper itself.) The mathematics in the paper really aren’t too technical, and most of it should be comprehensible by most advanced high school students.

For those that don’t understand the concept of entropy, I HIGHLY recommend Arieh Ben-Naim’s book Entropy Demystified The Second Law Reduced to Plain Common Sense with Seven Simulated Games. He really does tear the concept down into its most basic form in a way I haven’t seen others come remotely close to and which even my mother can comprehend (with no mathematics at all).  (I recommend this presentation to even those with Ph.D.’s in physics because it is so truly fundamental.)

For the more advanced mathematicians, physicists, and engineers Arieh Ben-Naim does a truly spectacular job of extending ET Jaynes’ work on information theory and statistical mechanics and comes up with a more coherent mathematical theory to conjoin the entropy of physics/statistical mechanics with that of Shannon’s information theory in A Farewell to Entropy: Statistical Thermodynamics Based on Information.

For the advanced readers/researchers interested in more at the intersection of information theory and biology, I’ll also mention that I maintain a list of references, books, and journal articles in a Mendeley group entitled “ITBio: Information Theory, Microbiology, Evolution, and Complexity.”

Venn Diagram of how information theory relates to other fields.
Figure 1.1 [page 2] from
Thomas M. Cover and Joy Thomas’s textbook Elements of Information Theory, Second Edition
(John Wiley & Sons, Inc., 2006) [First Edition, 1991]
 

Brief Review: The Swerve: How the World Became Modern by Stephen Greenblatt

The Swerve: How the World Became ModernThe Swerve: How the World Became Modern by Stephen Greenblatt

My rating: 4 of 5 stars

Stephen Greenblatt provides an interesting synthesis of history and philosophy. Greenblatt’s love of the humanities certainly shines through. This stands as an almost over-exciting commercial for not only reading Lucretius’s “De Rerum Natura” (“On the Nature of Things”), but in motivating the reader to actually go out to learn Latin to appreciate it properly.

I would have loved more direct analysis and evidence of the immediate impact of Lucretius in the 1400’s as well as a longer in-depth analysis of the continuing impact through the 1700’s.

The first half of the book is excellent at painting a vivid portrait of the life and times of Poggio Bracciolini which one doesn’t commonly encounter. I’m almost reminded of Stacy Schiff’s Cleopatra: A Life, though Greenblatt has far more historical material with which to paint the picture. I may also be biased that I’m more interested in the mechanics of the scholarship of the resurgence of the classics in the Renaissance than I was of that particular political portion of the first century BCE. Though my background on the history of the time periods involved is reasonably advanced, I fear that Greenblatt may be leaving out a tad too much for the broader reading public who may not be so well versed. The fact that he does bring so many clear specifics to the forefront may more than compensate for this however.

In some interesting respects, this could be considered the humanities counterpart to the more science-centric story of Owen Gingerich’s The Book Nobody Read: Chasing the Revolutions of Nicolaus Copernicus. Though Simon Winchester is still by far my favorite nonfiction writer, Greenblatt does an exceedingly good job of narrating what isn’t necessarily a very linear story.

Greenblatt includes lots of interesting tidbits and some great history. I wish it had continued on longer… I’d love to have the spare time to lose myself in the extensive bibliography. Though the footnotes, bibliography, and index account for about 40% of the book, the average reader should take a reasonable look at the quarter or so of the footnotes which add some interesting additional background an subtleties to the text as well as to some of the translations that are discussed therein.

I am definitely very interested in the science behind textual preservation which is presented as the underlying motivation for the action in this book. I wish that Greenblatt had covered some of these aspects in the same vivid detail he exhibited for other portions of the story. Perhaps summarizing some more of the relevant scholarship involved in transmitting and restoring old texts as presented in Bart Ehrman and Bruce Metzter’s The Text of the New Testament: Its Transmission, Corruption & Restoration would have been a welcome addition given the audience of the book. It might also have presented a more nuanced picture of the character of the Church and their predicament presented in the text as well.

Though I only caught one small reference to modern day politics (a prison statistic for America which was obscured in a footnote), I find myself wishing that Greenblatt had spent at least a few paragraphs or even a short chapter drawing direct parallels to our present-day political landscape. I understand why he didn’t broach the subject as it would tend to date an otherwise timeless feeling text and generally serve to dissuade a portion of his readership and in particular, the portion which most needs to read such a book. I can certainly see a strong need for having another short burst of popularity for “On the Nature of Things” to assist with the anti-science and overly pro-religion climate we’re facing in American politics.

For those interested in the topic, I might suggest that this text has some flavor of Big History in its DNA. It covers not only a fairly significant chunk of recorded human history, but has some broader influential philosophical themes that underlie a potential change in the direction of history which we’ve been living for the past 300 years. There’s also an intriguing overlap of multidisciplinary studies going on in terms of the history, science, philosophy, and technology involved in the multiple time periods discussed.

This review was originally posted on GoodReads.com on 7/8/2014. View all my reviews

Information Theory and Paleoanthropology

A few weeks ago I had communicated a bit with paleoanthropologist John Hawks.  I wanted to take a moment to highlight the fact that he maintains an excellent blog primarily concerning his areas of research which include anthropology, genetics and evolution.  Even more specifically, he is one of the few people in these areas with at least a passing interest in the topic of information theory as it relates to his work. I recommend everyone take a look at his information theory specific posts.

silhouette of John Hawks from his blog

I’ve previously written a brief review of John Hawks’ (in collaboration with Anthony Martin) “Major Transitions in Evolution” course from The Learning Company as part of their Great Courses series of lectures. Given my interest in the MOOC revolution in higher education, I’ll also mention that Dr. Hawks has recently begun a free Coursera class entitled “Human Evolution: Past and Future“. I’m sure his current course focuses more on the area of human evolution compared with the prior course which only dedicated a short segment on this time period.  Given Hawks’ excellent prior teaching work, I’m sure this will be of general interest to readers interested in information theory as it relates to evolution, biology, and big history.

I’d love to hear from others in the area of anthropology who are interested in information theoretical applications.

 

Book Review: “Complexity: A Guided Tour” by Melanie Mitchell

Read Complexity: A Guided Tour by Melanie MitchellMelanie Mitchell (amzn.to)
Complexity: A Guided Tour Book Cover Complexity: A Guided Tour
Melanie Mitchell
Popular Science
Oxford University Press
May 28, 2009
Hardcover
366

This book provides an intimate, highly readable tour of the sciences of complexity, which seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. The author, a leading complex systems scientist, describes the history of ideas, current research, and future prospects in this vital scientific effort.

This is handily one of the best, most interesting, and (to me at least) the most useful popularly written science books I’ve yet to come across. Most popular science books usually bore me to tears and end up being only pedantic for their historical backgrounds, but this one is very succinct with some interesting viewpoints (some of which I agree with and some of which my intuition says are terribly wrong) on the overall structure presented.

For those interested in a general and easily readable high-level overview of some of the areas of research I’ve been interested in (information theory, thermodynamics, entropy, microbiology, evolution, genetics, along with computation, dynamics, chaos, complexity, genetic algorithms, cellular automata, etc.) for the past two decades, this is really a lovely and thought-provoking book.

At the start I was disappointed that there were almost no equations in the book to speak of – and perhaps this is why I had purchased it when it came out and it’s subsequently been sitting on my shelf for so long. The other factor that prevented me from reading it was the depth and breadth of other more technical material I’ve read which covers the majority of topics in the book. I ultimately found myself not minding so much that there weren’t any/many supporting equations aside from a few hidden in the notes at the end of the text in most part because Dr. Mitchell does a fantastic job of pointing out some great subtleties within the various subjects which comprise the broader concept of complexity which one generally would take several years to come to on one’s own and at far greater expense of their time. Here she provides a much stronger picture of the overall subjects covered and this far outweighed the lack of specificity. I honestly wished I had read the book when it was released and it may have helped me to me more specific in my own research. Fortunately she does bring up several areas I will need to delve more deeply into and raised several questions which will significantly inform my future work.

In general, I wish there were more references I hadn’t read or been aware of yet, but towards the end there were a handful of topics relating to fractals, chaos, computer science, and cellular automata which I have been either ignorant of or which are further down my reading lists and may need to move closer to the top. I look forward to delving into many of these shortly. As a simple example, I’ve seen Zipf’s law separately from the perspectives of information theory, linguistics, and even evolution, but this is the first time I’ve seen it related to power laws and fractals.

I definitely appreciated the fact that Dr. Mitchell took the time to point out her own personal feelings on several topics and more so that she explicitly pointed them out as her own gut instincts instead of mentioning them passingly as if they were provable science which is what far too many other authors would have likely done. There are many viewpoints she takes which I certainly don’t agree with, but I suspect that it’s because I’m coming at things from the viewpoint of an electrical engineer with a stronger background in information theory and microbiology while hers is closer to that of computer science. She does mention that her undergraduate background was in mathematics, but I’m curious what areas she specifically studied to have a better understanding of her specific viewpoints.

Her final chapter looking at some of the pros and cons of the topic(s) was very welcome, particularly in light of previous philosophic attempts like cybernetics and general systems theory which I (also) think failed because of their lack of specificity. These caveats certainly help to place the scientific philosophy of complexity into a much larger context. I will generally heartily agree with her viewpoint (and that of others) that there needs to be a more rigorous mathematical theory underpinning the overall effort. I’m sure we’re all wondering “Where is our Newton?” or to use her clever aphorism that we’re “waiting for Carnot.” (Sounds like it should be a Tom Stoppard play title, doesn’t it?)

I might question her brief inclusion of her own Ph.D. thesis work in the text, but it did actually provide a nice specific and self-contained example within the broader context and also helped to tie several of the chapters together.

My one slight criticism of the work would be the lack of better footnoting within the text. Though many feel that footnote numbers within the text or inclusion at the bottom of the pages detracts from the “flow” of the work, I found myself wishing that she had done so here, particularly as I’m one of the few who actually cares about the footnotes and wants to know the specific references as I read. I hope that Oxford eventually publishes an e-book version that includes cross-linked footnotes in the future for the benefit of others.

I can heartily recommend this book to any fan of science, but I would specifically recommend it to any undergraduate science or engineering major who is unsure of what they’d specifically like to study and might need some interesting areas to take a look at. I will mention that one of the tough parts of the concept of complexity is that it is so broad and general that it encompasses over a dozen other fields of study each of which one could get a Ph.D. in without completely knowing the full depth of just one of them much less the full depth of all of them. The book is so well written that I’d even recommend it to senior researchers in any of the above mentioned fields as it is certainly sure to provide not only some excellent overview history of each, but it is sure to bring up questions and thoughts that they’ll want to include in their future researches in their own specific sub-areas of expertise.

God Could Have Caused Birds to Fly With Their Bones Made of Solid Gold

Surely, God could have caused birds to fly with their bones made of solid gold, with their veins full of quicksilver, with their flesh heavier than lead, and with their wings exceedingly small. He did not, and that ought to show something. It is only in order to shield your ignorance that you put the Lord at every turn.

Salviati’s (Galileo’s voice) response to Simplicio (Pope Urban VIII)
Galileo Galilei in Dialogue Concerning the Two Chief World Systems

 

Galileo's Dialogo Title Page
Title Page from Galileo’s Dialogo

Book Review: Jared Diamond’s “The World Until Yesterday: What Can We Learn from Traditional Societies?”

I’m honestly shocked that no one else has written a book similar to The World Until Yesterday: What Can We Learn from Traditional Societies prior to now. It’s certainly a wonderful synthesis and a fantastic resulting thesis based on an incredibly broad array of areas of study over a lifetime of work.

I personally don’t think that it is as significant as Guns, Germs, and Steel: The Fates of Human Societies was, though perhaps it should be just as (if not more) ground shaking for modern society. As a long-time student of evolutionary biology and other fields related to this work, I’m not as impressed with the effort as I might otherwise be since most of the overarching thesis is second nature to me. It does however have some superb anecdotes and broad reviews of large areas of literature to provide some excellent motivation that I might not otherwise have spent the time to find thus giving it some excellent value to me.

The World Until Yesterday by Jared Diamond (bookcover)

As for others in the general public, I highly recommend it for it’s simple and clear examples and the ultimate thesis which are exceptionally worth reading (and implementing) into one’s life as well as into broader areas of modern society. If nothing else, it points out how drastically life has changed for human societies even in the last 150 years, much less the last 10,000.

For those in the field or with an interest in Big History, this is certainly a must-read and possibly an excellent place to start for those without any background at all.

Based on my own personal background, I’d give this 3 stars (in terms of it’s direct value to me), but for the general public it’s easily a 5 star work. I do wish that it had been more traditionally and extensively footnoted, but for a broader audience I certainly understand Dr. Diamond’s reasons for publishing it as he did.

Review of “Major Transitions In Evolution” by Anthony Martin and John Hawks

Overall this series of 24 video lectures from The Teaching Company as part of their Great Courses series is a great introduction to evolution and many of its interdisciplinary sub-fields. I particularly enjoyed seeing the perspective of a geologist/paleontologist to start things off and then the tag-team to cover human evolution from primates.

Anthony Martin
Professor at Emory University; Ph.D., from University of Georgia
John Hawks
Professor at University of Wisconsin–Madison; Ph.D., from University of Michigan

I especially loved the philosophical conceptualization of “deep time” (in analogy with “deep space”) particularly as one considers the even broader idea of “Big History“. Though the professors here don’t delve into Big History directly, they’re covering a large portion of the cross-disciplinary and inter-disciplinary studies which underpin a large portion of the field. More specifically taking the general viewpoint of “transitions” in evolution underlines this conceptualization.

Though the transitional viewpoint seems to be a very natural and highly illustrative one to take, I would be curious in seeing alternate presentations of evolution from a pedagogical standpoint. It was nice to hear a bit of alternate discussion in the final lecture as well as discussion of where things might “go from here.”

I do wish that there were additional follow-on lectures that covered additional material in more depth. It would also have been nice to have included a handful of lectures from a microbiologist’s viewpoint and background to give some additional rounding out of the material and this could have been done either in the early parts of the material or certainly around the discussions of primate evolution. Overall all though, these are wonderfully self-contained and don’t require a huge prior background in material to understand well.

It’s always great to see lecturers who truly love their fields and have the ability to relate that through their lectures and infect their students.

From a purely technical standpoint, I’m glad to see that The Teaching Company only offers a video version of (as opposed to their usual additional offering of audio-only) as having pictures of the fossils and organisms under discussion and their relative physiological structures was very helpful. Additionally having the recurring timecharts of the portions of geological time under discussion was very useful and generally reinforcing of the chronology. Somewhat monotonous from a visual perspective was the almost programmatic back and forth pacing between two cameras during the lectures which at times became distracting in and of itself. Certainly including a third camera would have added some variety as would having had camera operators to zoom in or move the camera around while the lecturers stand relatively stationary. (Though the production value here is exceptionally high, small details like this over the span of several hours of watching become important. As an example of better execution, I prefer Glenn Holland’s “Religion in the Ancient Mediterranean World” as a model – though there wasn’t as much additional visual material there, the lectures were simply more “watchable” because of the camera work.)

Some Brief Thoughts on Cliodynamics and Big History

As an electrical engineer (in the subfields of information theory and molecular biology), I have to say that I’m very intrigued by the articles (1, 2) that Marc Parry has written for the Chronicle in the past few weeks on the subjects of quantitative history, cliometrics/cliodynamics, or what I might term Big History (following the tradition of David Christian; I was initially turned onto it by a Chronicle article). I have lately coincidentally been reading Steven Pinker’s book “The Better Angels of Our Nature” as well as Daniel Kanheman’s “Thinking, Fast and Slow”. (I’ll also mention that I’m a general fan of the work of Jared Diamond and Matt Ridley who impinge on these topics as well.)

I’m sure that all of these researchers are onto something in terms of trying to better quantify our historical perspectives in using science and applying it to history. I think the process might be likened to the ways in which methods of computed tomography, P.E.T., S.P.E.C.T, et al have been applied to the areas of psychology since the late 70’s to create the field of cognitive neuropsychology which has now grown much more closely to the more concrete areas of neurophysiology within biology, chemistry, and medicine.

I can see both sides of the “controversy” which is mentioned in the articles as well as in the comments in all of the articles, but I have a very visceral gut feeling that they can be ironed out over time. I say this as areas like behavioral economics which have grown out of the psychology work mentioned in Kahneman’s book become more concrete. The data available for application with relation to history will be much more useful as people’s psychological interactions with their surroundings are better understood. People in general are exceptionally poor at extrapolating statistical knowledge of the world around them and putting it into the best use. For example, although one can make an accurate calculation of the time-value of money, most people who know it won’t use it to determine the best way of taking a large lottery payout (either a lump sum or paid out over time), and this doesn’t even take into consideration the phenomenal odds against even playing the lottery in the first place. Kahneman’s system 1 and system 2 structures in conjunction with more historical data and analysis of the two in conjunction may be a far better method than either that of historians’ previous attempts or that of the quantitative method separately. Put into mathematical terms, it’s much more likely the case that human interactions follow a smaller local min-max curve/equation on a limited horizon, but do not necessarily follow the global maxima and minima that are currently being viewed at the larger scales of big history. We’ll need to do a better job of sifting through the data and coming up with a better interpretation of it on the correct historical scales for the problem at hand.

Perhaps, by analogy, we might look at this disconnect between the two camps as the same type of disconnect seen in the areas of Newtonian and quantum physics. They’re both interlinked somehow and do a generally good job of providing accurate viewpoints and predictions of their own sub-areas, but haven’t been put together coherently into one larger catch-all theory encompassing both. Without the encouragement of work in the quantitative areas of history, we’ll certainly be at a great disadvantage.