john hawks weblog

paleoanthropology, genetics and evolution

technology

  • Fishing for white elephants

    Fri, 2013-04-19 15:24 -- John Hawks

    Barbara King notes the recent characterization of fish cooking residues on early Japanese pottery: "What 15,000 Years Of Cooking Fish Tells Us About Humanity". She focuses on the relationship between status-seeking and innovation:

    The idea is that hunter-gatherers — who, during many periods and in many habitats, enjoyed enough abundance not to eat hand-to-mouth to survive — accorded special status to some foods. In discussing this possibility, Oliver Craig sent me an article published 10 years ago in the journal World Archaeology by Brian Hayden that establishes a good frame of reference. Hayden describes some Southeast Asian prehistoric societies, among the first to domesticate plants and animals, that he thinks also produced the first "luxury goods" — foods used in the context of ceremonial feasting.

    Status imposes demands over and above survival, spurring innovation beyond what might be expected from mere subsistence requirements. Unlike survival, status-seeking selects for white elephants: costly and non-portable technologies.

  • Behavior of the first North African humans

    Thu, 2013-03-07 23:49 -- John Hawks

    Mohamed Sahnouni and colleagues describe the archaeology of El-Kherba, Algeria. [1]. This locality is a paleontological exposure associated with the nearby Ain Hanech site, and Sahnouni and colleagues have excavated an Oldowan archaeological assemblage with large mammals such as hippos, rhinos and horses.

    Dated to 1.78 Ma, the El-Kherba cut marks and usewear traces represent the earliest North African evidence showing a clear causal link between Oldowan stone technology and processing of large animal carcasses for meat, broadening the geographic range of Plio-Pleistocene hominin subsistence activities to include the Mediterranean fringe. As was shown in the East African Plio-Pleistocene archaeofaunas, early hominins were foraging for large mammals in northern Africa by circa 1.8 Ma. The evidence from the modified bones at these sites indicates that early hominins were involved in evisceration, disarticulating and removing meat, and breaking bones of large mammals to extract marrow.

    It's a great site because it is the first to document human activity in North Africa. Australopithecines were present in Chad by 3.4 million years ago, and given their mobility and range it seems likely they would have been present to the north of the Sahara also. But none have ever yet been found. As it stands, humans were at Dmanisi by 1.78 million years ago and also in Java by that time. The extent of human migration outside of Africa makes it clear that the Mediterranean coast of Africa itself should have been well within their range.

    And yet, stone tools are known from Ethiopia from 2.6 million years ago, and nearly as old in Kenya. Did the earliest stone toolmakers range beyond the Rift Valley? So far there's no equivalently early evidence of tool manufacture in South Africa. And in North Africa, the earliest tool assemblage is at El-Kherba.

    It would sure be useful to uncover evidence of A. boisei or related robust australopithecines in the Ain Hanech area. In East and South Africa, early Homo lived alongside late robust australopithecines, sharing the same landscape. No robust australopithecine has ever been found outside East or South Africa, while Homo erectus spread across the Old World tropics and into the temperate zone. What kept robust australopithecines, otherwise seemingly adaptable, out of Eurasia? If they truly never lived near the Mediterranean coast, we would probably conclude that they weren't as tolerant of different habitats as we might have expected.

    The cutmark evidence described in the paper is fairly clear and comparable to that known from East Africa well before this date. The cutmarks on animal bones, including hippopotamus, along with a "meat polish" on some of the stone flakes, indicate that ancient humans had access to animal carcasses very shortly after the animals' death and were using stone flakes to process them. Again, basically like Oldowan evidence that has long been known from Olduvai Gorge and other sites. I would like to see a better comparison of where this assemblage fits compared to both large and small archaeological assemblages from Olduvai.

    The question of whether and to what extent early humans hunted large mammals involves a long debate that wouldn't fit well in this paper. Still, the evidence here adds to that literature. The ancient people who left these remains were relying upon large mammal acquisition within a broader hunted diet including smaller prey species. Together with sites from across Africa and Eurasia, this one shows that early humans maintained this diet pattern across a range of ecologies and geographies.


    References

    Synopsis: 
    Archaeological report from El-Kherba, Algeria, with implications for human occupation range
  • Transport distance in MSA Botswana

    Wed, 2013-03-06 23:44 -- John Hawks

    Two years ago, I wrote about the archaeological assemblages and evidence of symbolic behavior at Rhino Cave, Botswana ("Views from Rhino Cave, Tsodilo Hills, Botswana". Another site in the same region is White Paintings Shelter, with MSA assemblages dating from 50,000 back to more than 90,000 years ago. A new paper by David Nash and colleagues has sourced the raw materials used in stone manufacture across this time range at the site [1] They show that long-distance transport of silcrete stone was a major component of the material record at the site. From the paper:

    The people who used WPS were clearly aware of the available resources at Tsodilo Hills, anticipated a need, and procured silcrete from at least 220 km away for tool manufacture. The transport of raw materials from such distant sites represents a repeated procurement strategy for resource acquisition and suggests that these people made two conscious decisions. First, despite having ready access to local quartz and quartzite at Tsodilo Hills they chose to acquire silcrete. Second, they opted to use silcrete from south of the Okavango Delta (or possibly further afield during wetter periods) rather than from sources much closer to WPS. This is even though the hand specimen characteristics of silcrete samples from the Boteti River, Lake Ngami, Okavango River and Xaudum indicate that materials from these localities are equally fine-grained and well-cemented, and therefore likely to be of equivalent quality for tool manufacturing purposes.

    The authors include a mini-review of other MSA sites with evidence of long-distance transport.

    This is not the first study from the African MSA to identify the long-distance transport of stone raw materials by tool-manufacturing populations. In East Africa, for example, small numbers of obsidian artifacts from the Songhor and Muguruk MSA sites in western Kenya have been provenanced to volcanic flows up to 190 km distant (McBrearty, 1981, 1988). Obsidian artifacts from the Nasera Rock Shelter in northern Tanzania were procured from some of the same central Kenyan Rift sources, involving transport of up to 320 km (Merrick and Brown, 1984; Mehlman, 1989). The movement of raw materials over such distances has been interpreted to represent deliberate stone-collecting forays (see Merrick et al., 1994). What is, however, significant about our results is that, unlike the majority of sites where obsidian provenancing studies have been undertaken, silcretes are a major component of the MSA record at WPS. Indeed, obsidian artifacts make up typically only 1–5% of East African MSA assemblages (see McBrearty and Brooks, 2000; Ambrose, 2012; for reviews). The repeated long-distance transport of silcrete to WPS must therefore have represented a habitual resource procurement strategy for the MSA peoples who occupied the shelter.

    Rare or occasional transport are not logistically difficult to explain. Neandertals transported raw materials in small quantities across more than 150 km. But this case is interesting because of the intensity of transport evidenced at White Paintings Shelter, in addition to the thousands of years across which the transport strategy was repeated.


    References

  • Quote: Craig Stanford on gorilla habitat threats

    Tue, 2013-01-22 11:02 -- John Hawks

    Primatologist Craig Stanford was interviewed about habitat threats to gorilla populations by a public radio station: "The Human Threat to Great Apes":

    Cell phones, like many other electronic devices, are built with capacitors, which require tantalum extracted from coltan. Eighty percent of the world’s coltan supply is mined in the Democratic Republic of Congo, in the heart of the remaining habitat of eastern lowland gorillas. With an increasing demand for electronics driving a worldwide hunger for coltan, miners in the DRC are polluting and consuming gorilla habitat while extracting the ore. Compounding the problem, miners hunt the apes for food. The situation is grim, and these gorilla populations will go extinct soon without a sustained effort to intervene.

    Cell phones aren't the most common devices with capacitors, but they certainly help to personalize the issue.

  • Social media, social dynamics, and the Dunbar number

    Fri, 2013-01-18 00:51 -- John Hawks

    Drake Bennett in Businessweek takes on evolutionary anthropology this week in a profile of Robin Dunbar ("The Dunbar Number, From the Guru of Social Networks"). If you don't know why Businessweek would be profiling a primatologist, then you probably don't know about Robin Dunbar's work with group size and communication.

    Dunbar proposed that the size of social groups is limited by our evolutionary history. Our social interactions require us to track social relationships with many people. People aren't capable of following the details of thousands of city-dwellers, we are better suited to follow details of a single city block. In Dunbar's model, we should be well adapted to track the number of people that would have occupied social groups in the distant past.

    Humans can keep track of only a limited number of people, and for most social primates the group size is even smaller. Dunbar's research on primate groups led him to believe that group size is correlated with brain size among species of social primates. Given this, we might expect that the exceptionally large size of the human brain would correspond to an exceptionally large group size. By drawing a regression among brain size and group size estimates for many primate species, Dunbar arrived at the prediction that human group size should be 150 people. That became known as the "Dunbar number".

    Later, as the article recounts, technologists interested in social networks such as Facebook and Twitter became interested in the concept. What if the sizes of social networks on these alternative media platforms is similarly limited by our evolutionary heritage? Surely there is big money to be made for the company that can use this evolutionary knowledge to make big money?

    But the naive understanding of a hard "number" limiting human social interactions doesn't fit the evolutionary evidence.

    Others, anthropologists and brain scientists in particular, challenge the evolutionary story Dunbar tells, arguing that it discounts other factors that might have driven the development of the big human brain—the pressure to figure out more efficient ways to forage, or the need to surmount the defense mechanisms of the plants and animals our ancestors wanted to eat. “Ecological pressures like avoiding predators, finding food and shelter, choosing habitats—all these kinds of decisions. I think they played a role” in brain growth, says Reader, the biologist.

    Researchers who’ve used different methods to measure the size of a person’s social circle have come up with numbers that don’t match Dunbar’s. One set of studies by the anthropologist Russell Bernard and the network scientist Peter Killworth found a mean social network size of 291. Another paper, published this month in the Journal of the American Statistical Association, came up with 611.

    Like many, I used to be annoyed about the idea of the "Dunbar number". Human hunter-gatherers have a huge range in actual group sizes, as do most social primates. A girl might be born in a group of 20, see that group swell or merge with other groups to 100 or more, transfer to a different group along with a sister, and marry outside her social group entirely. Over a lifespan, she may face many different group sizes, and have "tight" relationships with other individuals born more than a century apart.

    No single number could describe this complexity. People vary extensively in their social interactions and knowledge of other peoples' social lives. Some people track hundreds of others, some people are relative shut-ins and know only a few. Human environments are novel today in many ways relative to our evolutionary history, but the sheer scope of variation in sociality belies the notion that we come from a monolithic history. It makes about as much sense as saying that human mass is 65 kg and not recognizing the development (from 3 kg at birth) and extensive variation in mass among individuals.

    My attitude has softened toward the Dunbar number, because it does capture something about the scale of social networks. Humans are not all 65 kilograms, but more than 99 percent of adult humans are within factor of two of that. Most of the time, when articles describe the concept of the Dunbar number, they describe it in ways that signify scale rather than an exact number. From this article, for example:

    A paper published in 2011 found that on Twitter the average number of other people a user regularly interacts with falls between 100 and 200. And though the limit on how many Facebook friends one can have is a generous 5,000, the average user has 190—more than 150, but within what Dunbar sees as the margin of error.

    If 190 is within the margin of error of 150, we're talking about a scale within a factor of at least 1.3. And that's on a mean -- not on the actual variation.

    Cognitive limits do constrain our behavior. But species-wide cognitive limits have almost no ability to predict the sizes of particular groups. Hence orangutans, gorillas and chimpanzees have very different social group sizes despite similar brain sizes. And cognition isn't dedicated to a single social function; there are many:

    Morin likes to point out that it’s misleading to talk about a single Dunbar Number. Dunbar actually describes a scale of numbers, delimiting ever-widening circles of connection. The innermost is a group of three to five, our very closest friends. Then there is a circle of 12 to 15, those whose death would be devastating to us. (This is also, Dunbar points out, the size of a jury.) Then comes 50, “the typical overnight camp size among traditional hunter-gatherers like the Australian Aboriginals or the San Bushmen of southern Africa,” Dunbar writes in his book How Many Friends Does One Person Need? Beyond 150 there are further rings: Fifteen hundred, for example, is the average tribe size in hunter-gatherer societies, the number of people who speak the same language or dialect. These numbers, which Dunbar has teased out of surveys and ethnographies, grow by a factor of roughly three. Why, he isn’t sure.

    One way to look at it is scaling: Larger groupings are in some ways metagroups: composed themselves of smaller groups that can act semi-independently. These dynamics are limited in scope before the metagroups disintegrate under their own complexity.

    But I think the null hypothesis is that we are imposing this scaling on the data. A factor-of-three difference is just wide enough for an analyst to separate biological distributions without much overlap. Try to sort human activities into different sizes of groups, and you'll get a factor-of-three separation automatically.

    Are different "levels" of social relationship really adaptively different? If they are, we might be drawing upon different cognitive resources for different levels of relationship -- one kind of thinking for close friends, another kind for distant acquaintances. If instead the appearance of different levels is really just a consequence of mapping a continuous distribution into different sizes of groups, then the levels may not be adaptively different, and we may be using the same cognitive resources in ways scaled to our knowledge of the individuals involved. That adaptive question has to shape the way we conceive of limits on cognition, and the relationship between cognitive evolution and social dynamics. It will be more complicated than a single number.

    Synopsis: 
    A profile of primatologist Robin Dunbar shows Silicon Valley borrowing evolutionary ideas
  • Finding sequencing methods in the library

    Tue, 2013-01-08 23:38 -- John Hawks

    Jay Shendure and Erez Lieberman Aiden have a recent review in Nature Biotechnology that provides some recent data on the falling cost and increased use of genome sequencing [1]. They accentuate the massive reduction in cost of sequencing technology over the last seven years -- from $1000 per megabase to only 10 cents per megabase.

    What is more interesting about the article is that the authors concentrate on the possible strengths of different sequencing platforms for different biological projects. They point out that the cheapest technology may not be the best for many purposes, and each application has different unique requirements.

    They illustrate this with a "subway map" view, which illustrates the routes that different molecular techniques have followed, from one application to another, until they have come to be used for sequencing (the function at the "terminal").

    Subway map view of sequencing technology and applications, from Shendure and Aiden 2012

    From their later text:

    The subway map analogy suggests that the development of new applications is likely to be best supported by a broad knowledge of existing and emerging sequencing protocols as well as a willingness to delve into the past 50 years of methods development in biochemistry and molecular biology. These sources effectively provide a toolbox that can be drawn on when evaluating potential routes to support new applications.

    Of course, the next advances in sequencing methodology are probably already being developed by labs looking through these methods.


    References

    1. Shendure J, Aiden EL. The expanding scope of DNA sequencing. Nature Biotechnology. 2012;30(11):1084 - 1094.
  • Early Stone Age hafted spear points from South Africa

    Sat, 2012-11-17 02:57 -- John Hawks

    This week in Science, Jayne Wilkins and colleagues report on part of the lithic assemblage from Kathu Pan, South Africa, which includes 210 points [1]. The paper reports that these are the earliest known hafted points in the world, predating the previous record by more than 200,000 years.

    The minireview of the spear literature:

    By ~780 ka, hominins were regularly killing large game, based on evidence of repeated in situ processing of complete carcasses of fallow deer at Gesher Benot Ya’kov in Israel (4). At the English site of Boxgrove, a horse scapula with a semicircular perforation is consistent with spear-aided hunting by ~500 ka (5). Wooden spears dating to ~400 ka have been found in association with butchered horses at Schöningen, Germany (6). Hafted spear tips appear to be common in the MSA and Middle Paleolithic (MP) sites of Europe and Africa after ~300 ka (7–20).

    This is a very short paper, and it sets out two problems: demonstrating that the points really are 500,000 years old, and demonstrating that they really were used as spear tips. The first is fairly straightforward as a function of the stratigraphy at the site and some ESR/U-series dating of faunal teeth. Possibly a broader issue is the identification of the assemblage as Fauresmith, which has been poorly defined in the literature and sometimes means different things. It is more or less indicative of assemblages based on large cutting tools (such as handaxes), with an increased fraction of flake core production and some MSA-like elements. Andy Herries published a good review of the Fauresmith issue and its chronology last year [2]. He wrote this with respect to Kathu Pan:

    Previous dating of the site was based on elephant fossils that were more evolved than those from Olduvai Bed IV [62]. This simply gave the site an age of 417 ka may lend weight to the Fauresmith at Wonderwerk also being in this time range or at least older than 182 ka as suggested by Chazan and Horwitz [147] unless it occurred for over 200 ka in the region and was being produced contemporarily with the MSA.

    Fauresmith at some other sites in southern Africa, including Wonderwerk Cave, is apparently younger, less than 300,000 years ago. The entire range is coincident in time with the Early-Middle Stone Age transition in the Kapthurin Formation sites in Kenya, which makes these "transitional" assemblages really representative of a long-term pattern of variability and change. The marker of MSA industries as opposed to Early Stone Age is the MSA's reliance upon prepared core reduction techniques. Yet, prepared core techniques (like the Levallois technique) appear much, much earlier. One marker of the MSA, as reviewed by Herries [2] (citing McBrearty and others) is the appearance of projectile point technology:

    Mcbrearty [22] also suggests that the fundamental change from the ESA to the MSA is the end of LCTs and a shift to projectile point technology. Of course, it should be noted that Acheulian bearing hominins in Europe were utilising an entirely wooden projectile technology for hunting as shown by the occurrence of the Schöningen spears at either ~400 (MIS 11 [157]) or ~310 ka (MIS 9d-e; [168]) but were seemingly still disarticulating their kill with LCTs. Whether a similar wooden projectile technology was being used by hominins in Africa is almost impossible to tell given the almost complete lack of preservation of such organic remains in most MSA sites. The exceptions are two wooden tools from Floor 1 at Kalambo Falls in Zambia [30, 56] and one from Florisbad in South Africa [13]. Other sites where large pieces of wood have been recovered include the Acheulian sites of Amanzi Springs [73] and Gesher Benot Ya'aqov [169]. Despite the discovery of significant amounts of wood from these deposits, no tools have been noted. The Kalambo falls tools are reminiscent in some ways of the European “spears” and are associated with large well-formed cleavers from the Acheulian bearing Floor 2, below the Sangoan. Given their context these wood tools might be older than those from Europe and might point to a wooden projectile point technology in the late Acheulian, complimenting the earlier LCT technology. At most sites, the only clue would be in finding injury patterns on faunal remains indicative of such activities. In a similar vein, the co-occurrence of LCTs and projectile point technology in the Sangoan and Fauresmith may reflect similar activity patterns, or as McBrearty [22] suggests that the mix of technologies may, in fact, represent different hominins using different technologies at the same time in the same regions of Africa.

    This brings us to the current paper, which pushes the appearance of projectile points back well before the clear appearance of the MSA. So is the evidence solid?

    Triangular stone flakes may look on the surface like spear points, but that doesn't necessarily mean they were used that way. Triangular flakes are useful cutting tools, and actually preferred as cutting tools in some archaeological contexts.

    Springbok used in experimental archaeology

    The springbok spear test. Figure S6D from Wilkins et al. 2012

    I think the authors did a nice job of finding multiple ways to test the use of these points as spear tips. They examined edge wear to show that on these artifacts it is differentially concentrated near the tip. They shot a bunch of experimentally-produced tips into springbok carcasses, showing the pattern of wear that comes from use on a hafted spear, and this pattern matches the archaeological points. Furthermore, they show that experimental use of the points as cutting tools yields a different wear pattern, as does postdepositional damage to the artifacts. They find that some of the points are modified on the base, suggesting hafting, but do not report any evidence of glue or base wear that would have come from the wooden spear. A clever part of their analysis concerns the symmetry of the points. They expected that as a cutting tools is blunted and resharpened, the shape of the overall tool will become skewed, so smaller points should be less symmetrical. The archaeological points show the opposite pattern, with smaller points just as symmetrical as the large ones. The sizes of the points fall within the range of ethnographic and MSA spear points, not smaller projectiles such as arrows or atlatl darts.

    So all in all, these look like good spear tips. This seems like yet another case where a more intensive investigation of the African record has shown that supposedly "advanced" toolmaking techniques were mastered by Middle Pleistocene humans. With some of the other techniques -- such as blade production -- people seem to show an effervescent pattern. A handful of sites show an early occurrence of the technique but no clear tradition carrying the early innovation into later time periods. Maybe hafting is another such case, a relatively complex innovation that was repeatedly reinvented, with people repeatedly falling back to the simpler option (in this case, sharpened wood spears without points).

    The archaeological record may be giving us a signal of the importance of communication and knowledge accumulation relative to innovation in our prehistory. But to be clear about this will require a fuller record, with fewer blank spots.


    References

    Synopsis: 
    Discovery of an early innovation poses questions about the origins of the MSA
  • Who did what to whom

    Tue, 2012-10-30 11:00 -- John Hawks

    A confluence of stories, one from the New York Times fashion section, by Henry Alford: "A Web of Answers and Questions", about Googling people you meet...

    “Obviously, one is always going to have to be discreet when talking about what you’ve found,” said Ms. [Kate] Fox, a director of the Social Issues Research Center in Oxford, England. “But our brains haven’t changed since the Stone Age, and humans are designed to live in small groups in which everyone knows one another. Googling is an attempt to recreate a primeval, preindustrial pattern of interaction.”

    ...and one from science writer Michael Balter, in Slate, about the evolution of human brain size: "Why Are Our Brains So Ridiculously Big?":

    How did our brains get so big? Researchers have put forward a number of possible explanations over the years, but the one with the most staying power is an idea known as the social brain hypothesis. Its chief proponent, psychologist Robin Dunbar of Oxford University, has argued for the past two decades that the evolution of the human brain was driven by our increasingly complex social relationships. We required greater neural processing power so that we could keep track of who was doing what to whom.

    I'm glad I'm not the one who has to write continual "Stone Age mind" stories. Personally I think van Schaik's idea about cultural intelligence (discussed in the article) has a lot more going for it than Dunbar's. We are only modestly better at tracking social interactions than other primates, while we are light years better at cultural learning. Googling people is an application of technology to enable us to work effectively in a society in which our economic interactions are mostly with strangers. That doesn't make the world more like one big hunter-gatherer group, it makes it less so.

  • Enmeshed in technology

    Mon, 2012-10-01 00:03 -- John Hawks

    Anthropology and technology combine in a Sarah Bakewell piece about the most recent Channel swimmer, Karen Throsby: "Man is a work in progress, constantly adding technology". Purists pooh-pooh anyone who swims the Channel in a wetsuit.

    Throsby's contribution was to remind us that even something as elementally "human" as marathon swimming involves many artificial techniques: gaining weight, acclimatising to the cold, monitoring one's psychology, and developing new micro-senses – an awareness of tiny differences in water temperature, a heightened kinetic sense of the body's balance and position, and so on. It means self-transformation, and is filled with "uncountable, mundane bodily technologies". Channel swimmers use rubber caps, sunblock, Vaseline to prevent chafing, sleek swimsuits and energy-boosting snacks. They are accompanied by boats with GPS.

    I can't believe there are Channel-swimming purists. I mean, if they brought back Annette Kellerman, they'd still find a woman in a full-body suit.

    Annette Kellerman, from Wikimedia Commons

    Annette Kellerman, from Wikimedia Commons

    Of course the technology that accompanies the body is only one aspect of Channel swimming. The technology inside the head is even more essential; a product of training, pacing, knowledge about risks and methods, contingency plans and logistics. I often use Channel crossing swimmers as an example of human potential, an incredible achievement for a primate body made possible by a human brain.

  • Students and technology in the classroom

    Thu, 2012-08-16 15:19 -- John Hawks

    Another school year is about to start for those of us who teach college courses. More and more, students are coming to classrooms and actively using technology -- laptops, smartphones, tablets -- for notetaking, looking up further information, networking and connecting to classmates. They're also using the technology for extracurricular activity, such as social media, gaming, non-class-related reading, and even watching videos.

    Through the auspices of the HHMI, I'm advising a group of grad students and postdocs who are developing teachers, as they teach a course this semester, called "Exploring Biology". I'll write some more about this course and its design as the Teaching Fellows roll it out. Meanwhile, they face the decision that instructors around the country are facing: How much should an instructor regulate students' use of technology in the classroom?

    I was prompted to quickly post on this topic because of Barbara King's post, "Can College Students Resist The Lure Of Facebook, Twitter During Class?"

    I wrote here last week about the joys of learning science via Twitter. Some of us may bring online teaching tools into our classrooms by, say, assigning a series of high-quality blog posts, showing a YouTube video or "Ted" talk, or arranging Skype discussions with professionals in our field.

    But as Jason Lanier says in his book You Are Not A Gadget, "The most important thing about a technology is how it changes people." As a culture, we have to fight the seductive appeal of constant connection via our technology, which fragments our attention and interrupts the joy of full immersion in thinking, problem-solving, and questioning.

    Her earlier post on Twitter ("Nature Comes Into Full View On Twitter" is a good read.

    Personally, I encourage my students to use more technology in the classroom. I want them integrating my classroom material with their lives outside the classroom, and that means engaging their online lives. That's one reason I engage the students with Twitter during class. But probably few instructors can effectively supervise a classroom that has so many student activities potentially going on. So I don't advise other instructors to follow my approach, they must make decisions based on their own pedagogy.

    I do want to point readers to my post from earlier this year, "Best practices and tips for Twitter in the higher-ed classroom". An excerpt:

    College students have become used to instant communication. Many professors complain that technology has given their students short attention spans and poor study skills. Others bewail the end of civilization, as they see their students reading Facebook during class instead of taking notes.

    In reality, students are adapting to a new information environment. The cues that guided young academics to new ideas a generation ago were subtle, steeped in unwritten formalities, and exclusionary. Today, the best students are using social networks, feeds, and blogs to forage for the information that matters to them. But others will inevitably take advantage of the social buffet to browse away from your course's content.

    What to do?

    Try taking the reins, to meet your students at the information smorgasbord. Getting your students to interact with each other outside of class is one of the best ways to deepen their educational experience.

    I find it to be an incredibly useful tool, not only for increasing classroom engagement but also making it much easier for me to quickly handle student questions.

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Neandertals

For years, I've worked on their bones. Now I'm working on their genes. Read more about the science studying these ancient people.

Denisova

From a finger bone of an ancient human came the record of a completely unexpected population. My lab is working on the science of the Denisova genome.

Acceleration

The advent of agriculture caused natural selection to speed up greatly in humans. We're uncovering some of the ways that populations have rapidly changed during the last 10,000 years.

Malapa

Just outside Johannesburg, the Malapa site is producing some of the most exciting finds in human evolution. This site is the headquarters of the Malapa Soft Tissue Project.