Announcing Anthropology 207x

Last Fall, Wellesley announced its plan to partner with EdX and produce its first online, MOOC courses.

Even prior to that decision, I was curious about the development of MOOCs and online teaching:

Between two professors: Pros and Cons of Online Teaching

More thoughts on Wellesley College and Online Learning

My curiosity and interest in this development is moving forward in the form of my own MOOC.

This coming Fall, my Introduction to Human Evolution course will be Wellesley’s first online course. You can find the trailer for the course at EdX’s Wellesley homepage. Wellesley also has more information on its homepage.

It is unfortunate that I am in the field in Kazakhstan right now and largely away from internet access, but I will return shortly and have much to say about the course, my desire to teach it, and what you might expect from it once it goes live.

In the meantime, welcome to Anthropology 207x!

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Gone Diggin’

I will be out of the country on an initial field foray to Kazakhstan for the next several weeks. A few posts will be showing up during that time, maybe more than a few depending on the degree of internet access I have.

APV copy

Posted in Fossils | Tagged | 1 Comment

What I am reading today (5/15/13)

Finishing up the semester’s grading and preparing to leave for a little bit of fieldwork, but here is what I am trying to read today:

Let’s Abandon Significance Tests – Jim Wood (The Mermaid’s Tale)

But now suppose we’ve learned our lesson: and so, chastened, we abandon our arbitrary threshold a value and look instead at the exact p value associated with our predictor variable, as many writers have advocated. And let’s supposed that it is impressively low, say p = 0.00073. We conclude, correctly, that if the null hypothesis were true (which we never really believed in the first place) then the data we actually obtained in our sample would have been pretty unlikely. So, following standard practice, we conclude that the probability that the null hypothesis is true is only 0.00073. Right? Wrong. We have confused the probability of the data if you are given the hypothesis, P(Data|H0), which is p, with its inverse probability P(H0|Data), the probability of the hypothesis if you are given the data, which is something else entirely. Ironically, we can compute the inverse probability from the original probability – but only if we adopt a Bayesian approach that allows for “subjective” probabilities. That approach says that you begin the study of some prior belief (expressed as a probability) in a given hypothesis, and adjust that in light of your new data.

Alas, the whole NHST framework is by definition frequentist (that means it interprets your results as if you could do the same study countless times and your data are but one such realization) and does not permit the inversion of probabilities, which can only be done by invoking that pesky Bayes’s theorem that drives frequentists nuts. In the frequentist worldview, the null hypothesis is either true or false, period; it cannot have an intermediate probability assigned to it. Which, of course, means that 1 – P(H0|Data), the probability that the alternative hypothesis is correct, is also undefined. In other words, if we do NHST, we have no warrant to conclude that either the null or the alternative hypothesis is true or false, or even likely or unlikely for that matter. To quote Jacob Cohen (1994), “The earth is round (p < 0.05).” Think about it.

Hypothesis testing in paleoanthropology is essentially always plagued, whatever approach you take, by issues of sample size. This means that what we conclude tells us an awful lot about the approach we have taken and the samples we have used, but less clearly about what we are actually trying to find out. The calculation of Bayesian prior probabilities, however, is often plagued by the same problem as frequentist statistics given the constraints inherent to fossil studies. These are good and important conversations to have, but more than anything, I think they highlight the need to critically examine (and re-examine) the analytical approaches underlying fossil studies.

Biological Anthropology Resources…

The Lawn Chair Anthropologist (aka, Zach Cofran), passes along two links to online bioanth resources:

Online skeletal and dental datasets

Human Origins Database

And just in time for my own departure for the field, Ken Weiss starts a conversation on what we can do about field safety, given the issues raised by Clancy, et al..

Sexual Harassment in the Field (of Anthropology) – Ken Weiss (The Mermaid’s Tale)

So, if people really care about this subject, as it clearly seems they should, then what is needed is to try to find some way to formulate policies and procedures that might actually work. Discussions about how awful the problem is are fine, but realistically implementable ways to constrain action in unusual, hard-to-monitor settings is what needs attention. If the ongoing discussion since the Anthropology meetings has brought that attention to this issue, great. It clearly needs to continue.

Research Articles:

Jaw growth in the absence of teeth: the developmental morphology of edentulous mandibles using the p63 mouse mutant (Paradis, et al., Evolution & Development)

Abstract: Mammalian tooth and jaw development must be coordinated well enough that these systems continue to function together properly throughout growth, thus optimizing an animal’s survival and fitness, as well as a species’ success. The persistent question is how teeth and jaws remain developmentally and functionally viable despite sometimes monumental evolutionary changes to tooth and jaw shape and size. Here we used the p63 mouse mutant to test the effect of tooth development — or the lack thereof — on normal mandible developmental morphology. Using 3D geometric morphometrics, we compared for the first time mandible shape among mice with normal tooth and jaw development against p63 double knock-out mice, with failed tooth development but apparently normal jaw development. Mandible shape differed statistically between toothless (p63−/−) and toothed (p63+/−, p63+/+) mice as early as embryonic day (E) 18. As expected, most of the shape difference in the p63−/− mandibles was due to underdeveloped alveolar bone related to arrested odontogenesis in these E18-aged mice. Mandible shape did not differ statistically between p63+/− and p63+/+ adult mice, which showed normal tooth development. Our results support the idea of a gene regulatory network that is exclusive to the mandible and independent of the dentition. This study also underscores the biomechanical impact of the teeth on the developing alveolar bone. Importantly, this work shows quantitatively that the p63 mutant is an apt model with which to study mandible morphogenesis in isolation of odontogenesis to clarify developmental relationships between the teeth and jaws.

A comparison of antemortem tooth loss in human hunter-gatherers and non-human catarrhines: Implications for the identification of behavioral evolution in the human fossil record (Gilmore, American Journal of Physical Anthropology)

Abstract: Middle and Late Pleistocene fossil hominin specimens with severe antemortem tooth loss are often regarded as evidence for the precocious evolution of human-like behaviors, such as conspecific care or cooking, in ancient hominin species. The goal of this project was to ask whether the theoretical association between antemortem tooth loss and uniquely human behaviors is supported empirically in a large skeletal sample of human hunter-gatherers, chimpanzees, orangutans, and baboons. Binomial regression modeling in a Bayesian framework allows for the investigation of the effects of tooth class, genus, age, and sex on the likelihood of tooth loss. The results strongly suggest that modern humans experience more antemortem tooth loss than non-human primates and identify age in years as an important predictor. Once age is accounted for, the difference between the humans and the closest non-human genus (chimpanzees) is less pronounced; humans are still more likely on average to experience antemortem tooth loss though 95% uncertainty envelopes around the average prediction for each genus show some overlap. These analyses support theoretical links between antemortem tooth loss and modern human characteristics; humans’ significantly longer life history and a positive correlation between age and antemortem tooth loss explain, in part, the reason why humans are more likely to experience tooth loss than non-human primates, but the results do not exclude behavioral differences as a contributing factor.

Earliest Archaeological Evidence of Persistent Hominin Carnivory (Ferraro, et al., PLOSone)

Abstract: The emergence of lithic technology by ~2.6 million years ago (Ma) is often interpreted as a correlate of increasingly recurrent hominin acquisition and consumption of animal remains. Associated faunal evidence, however, is poorly preserved prior to ~1.8 Ma, limiting our understanding of early archaeological (Oldowan) hominin carnivory. Here, we detail three large well-preserved zooarchaeological assemblages from Kanjera South, Kenya. The assemblages date to ~2.0 Ma, pre-dating all previously published archaeofaunas of appreciable size. At Kanjera, there is clear evidence that Oldowan hominins acquired and processed numerous, relatively complete, small ungulate carcasses. Moreover, they had at least occasional access to the fleshed remains of larger, wildebeest-sized animals. The overall record of hominin activities is consistent through the stratified sequence – spanning hundreds to thousands of years – and provides the earliest archaeological evidence of sustained hominin involvement with fleshed animal remains (i.e., persistent carnivory), a foraging adaptation central to many models of hominin evolution.

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Personal genetic testing gets celebrity treatment

Angelina Jolie has an op-ed in today’s NY Times about her decision to have a preventative double mastectomy. This decision came after watching her mother die as a result of breast cancer, and after having some personal genetic testing done:

I have always told them not to worry, but the truth is I carry a “faulty” gene, BRCA1, which sharply increases my risk of developing breast cancer and ovarian cancer.

My doctors estimated that I had an 87 percent risk of breast cancer and a 50 percent risk of ovarian cancer, although the risk is different in the case of each woman.

Only a fraction of breast cancers result from an inherited gene mutation. Those with a defect in BRCA1 have a 65 percent risk of getting it, on average.

I think the op-ed is actually quite well written. Many discussions of breast cancer and the BRCA genes fail to mention that most cases of breast cancer are not strongly associated with any inherited genetic mutation. After talking about the details of what is involved in the series of procedures associated with a mastectomy, Jolie returns to another important (and often under mentioned point):

The cost of testing for BRCA1 and BRCA2, at more than $3,000 in the United States, remains an obstacle for many women.

The reason testing for the BRCA1 and BRCA2 genes is so expensive is the proprietary nature of the BRACanalysis test, patented by Myriad Genetics, Inc. In the context of her op-ed, this is probably a side-track she didn’t want to take, but Myriad’s patents are at the heart of a case currently awaiting decision at the Supreme Court (see SCOTUSblog for more details).

I am always curious at the role of celebrity in the transmission of cultural norms. I assume Jolie’s piece will end up as one of the NY Times’ “most e-mailed” articles. How it might shape the view of personal genetic testing is less clear.

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Field research experience web survey

From colleague Julienne Rutherford:

Dear Colleagues,

Kate Clancy, Robin Nelson, Katie Hinde, and I are conducting a survey to learn about people’s experiences conducting field research, including some topics that are less often addressed. At this juncture we have >400 respondents. Given the topics that we are tackling, the greater the diversity of respondents and experiences, the more powerful our analysis and publication will be.

However, to produce a publication in a timely manner and thereby move the conversation forward, we will be closing the survey on May 10th. Please consider taking the short survey and/or forwarding the survey to colleagues and students: http://bit.ly/fieldexp13

Also please note that although the survey says “Bioanthropology,” we have expanded it to include any scientific discipline that involves field work. Do not feel constrained to forward it solely to anthropological colleagues.

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Resources related to R

As long as I am passing along references, here is a link to a post by W. Andrew Barr, PhD candidate at Texas, aggregating resources related to learning and using R.

Being able to code is extraordinarily valuable. R is one of the easiest, and certainly the cheapest, platform to learn on.

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Skeletal collections database

Some time ago I began slowly collecting information relating to known anthropological skeletal collections. The task quickly fell beneath more pressing obligations, but I am happy to see that someone else has had much more success.

Highfantastical.com has a really wonderful database of skeletal collections, searchable by research that has been conducted using each collection. The database is necessarily a work in progress, but the format looks wonderful. For example, here is a list of references based on work done on the Raymond Dart skeletal collection, housed at the University of Witwatersrand in Johannesburg, South Africa.

Bidmos MA and Asala SA. 2003. Discriminant function sexing of the calcaneus of the South African whites. Journal of Forensic Sciences 48(6):1213-1218. Link.

Bidmos MA and Asala SA. 2004. Sexual dimorphism of the calcaneus of South African blacks. Journal of Forensic Sciences 49(3):446-450. Link.

Bidmos MA and Dayal MR. 2004. Further evidence to show population specificity of discriminant function equations for sex determination using the talus of South African blacks. Journal of Forensic Sciences 49(6):1165-1170. Link.

Dayal MR and Bidmos MA. 2005. Discriminating sex in South African blacks using patella dimensions. Journal of Forensic Sciences 50(6):1294-1297. Link.

Schmitt A, Murail P, Cunha E, and Rougé D. 2002. Variability of the pattern of aging on the human skeleton: evidence from bone indicators and implications on age at death estimation. Journal of Forensic Sciences 47(6):1203-1209. Link.

Thanks to Karen Rosenberg and Milford Wolpoff for passing along the link.

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One of the advantages of data openness

People can tell you if you messed up prior to becoming associated with a widely cited, but ultimately wrong analysis. The current example is the much-discussed case of the Reinhart/Rogoff economics paper about the alleged dangers of high public debt to economic growth. Kevin Drum comments:

More important, then, may be the light this shines on the fact that an awful lot of research is based on datasets that are kept private.

This was an issue that was front and center during Climategate. Climate skeptics were unhappy that the raw data collected by various research groups (mostly using public money) wasn’t made available to them, and they made the reasonable point that if your analysis is correct, you shouldn’t be afraid to share the underlying data

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Genomics: Knowledge is a constraint on knowledge

On Monday, the Supreme Court spent approximately an hour hearing oral arguments in the Association of Molecular Pathology v. Myriad Genetics, Inc. case. This is a case with potentially landmark potential. At stake is the question of whether genes are patentable, and if so, within what conditions. As always, SCOTUSblog provides an essential, “plain english” recap of the argument proceedings.

Many observers of the case have pointed out that the advances in sequencing technology over the past decade have potentially minimized the impact of any ruling, and indeed, the importance of genetic patents within the field (see the NY Times coverage for more on this point).

What I would like to comment on here, however, is a point that is emphasized in both the plain english recap from SCOTUSblog and Lyle Denniston’s recap, “Analogies to the rescue.”

It is a natural human trait — of judges, too — when one doesn’t quite grasp a very complex idea, to reach for something commonplace for comparison. For the nine Justices of the Supreme Court, imperfectly versed in biochemistry, it was most useful on Monday to talk about how a baseball bat gets created, and how the sap of a plant in a forest in the Amazon might be analyzed for its powers to cure human disease. But those very analogies strongly suggested that an inventor probably cannot get a patent for taking something out of the human body, and manipulating it without changing its nature.

Understanding the complexity of the world around us often necessitates the use of comparative references. Exactitude is a privilege afforded by knowledge, not one that exists naturally. How tall is the tree outside of my office? Well….it is taller than the building, so it is about 3.5 stories tall. If I want to go through the time to figure out how to exactly measure it, maybe I could tell you it is 38 feet in height, measured perpendicularly from the ground at its trunk to its highest point. The latter explanation is certainly more exact, potentially more useful, but also requires more knowledge and effort on my part.

Genetics is complex. Gene function and the pathway between gene expression, gene product and phenotype is not only complex, but varied from genetic system to genetic system and potentially from environment to environment. The ability of the Supreme Court justices, none of them trained biochemists, geneticists, or scientists of any stripe, to understand in technical detail the issues surrounding isolation of a gene, depends in part on their individual knowledge and their ability to construct analogies or metaphors that allow them to bridge the gap between what they know and don’t know, and the issues presented in this case.

One of the topics I have been exploring in my personal genomics class this semester is the issue of what constrains our ability to produce genetic knowledge from genetic information (i.e. the raw data produced through genetic sequencing). One of the constraints is computational power, as the pace of genetic sequencing over the past decade has far exceeded Moore’s Law. But another important constraint is the knowledge we have. Much as evolution can only operate on the heritable variation available to it, the production of knowledge can only operate on the basis of existing knowledge.

The completion of the Human Genome Project a decade ago has led to a huge increase in what we know about the structure, diversity and function of the genome. And yet a lot of that increased knowledge has highlighted how much we still have to learn–from an evolutionary, molecular and developmental perspective–about how the genome operates and informs phenotypic variation. In the case of personal genomics, its utility is in many ways a function of your own knowledge of genomics. The more you know about genomics the more knowledge you can generate from the raw data that is your genetic sequence. That the justices are not terribly knowledgable about genetics is comforting to Amy Howe in her plain english recap.

Whatever the result, if (as they are for me) these concepts are difficult for you to understand, you can take some comfort that the Justices – although extraordinarily smart lawyers – seemed to have trouble understanding them too. And the good news for us is that they – not we – now have to write an opinion to resolve those issues.

I would instead suggest that their lack of specific knowledge in this case constrains their ability to produce a truly informed judgement. Knowledge constrains knowledge.

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Dialogue within anthropology? Try coming to the AAAs (Chicago, 2013)

I will be posting a number of items relating to the symposium I participated in last week at the AAPA meetings in Knoxville, TN. The symposium was aimed at identifying the future direction of biological anthropology as a field.

One of the issues that came up is the complicated relationship between biological anthropologists and our larger discipline, much of which is involved in methodological approaches divergent from much of biological anthropology. Lance Gravlee gave a wonderful talk on the “one-drop rule of anthropology,” by which he meant the tendency to classify anyone who dabbles at all into the biological end of anthropology as a biological anthropologist. Lance’s own research, examining the relationship between social constructions of race and hypertension, is a perfect example of true biocultural anthropology. The nature of his work has ended up earning Lance the title of biological anthropologist, despite never really identifying as such (much to my surprise, highlighting his point).

Several members of the audience also touched on this issue. One audience member told of the situation in her department, in which it was agreed to advertise a biological anthropology position, but only if the candidates research did not in any way involve genetics, owing to some (misguided) concern about admitting genetic determinists into the mix. Another audience member expressed frustration at the difficulty in getting viewed by the larger field as a self-identifying anthropologist first and foremost, and not a anthropological geneticist.

My suggestion was to consider going to the AAA meetings. The AAA meetings are expensive (compared to the AAPAs). The AAA meetings often offer a limited selection of talks for biological anthropologists. But if you want the broader field of anthropology to understand your work, at a certain point, you need to talk to them directly. The AAAs may not be the perfect place to do so, but you stand a far better chance of connecting across sub-fields at the AAAs than at the AAPA meetings.

This year’s upcoming AAA meetings will be in Chicago. The deadline for submitting abstracts has been extended to tomorrow (Tuesday, 4/16). Chicago has lots of cheap accommodation options. Chicago is a cheaper place (than many) to get airfare. Chicago is within driving distance of many places in the Greater Midwest. As a member of the Biological Anthropology Section executive committee…consider submitting an abstract.

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