Why Are We Signing Our Emails With “Thank You?”


Krystal D’Costa on Anthropology in Practice in Scientific American: “These types of linguistic structures are known as “politeness formulae.” … These patterns of responses are deeply nuanced and reflect the nature of the relationship between participants: degree of intimacy, relative status, and length of contact or expected duration of separation all influence how these interactions are carried out.

In the age of texting, these practices may seem antiquated, but the need for those sorts of rituals remains important, particularly in electronic communication where tone is hard to read. We end our communiques with “talk later,” “talk 2 u tomorrow,” or even simply “bye.” “Thanks” and “Thank you” have worked their way into this portion of the formula particularly in emails. More traditional valedictions have been replaced with “Thank you” so subtly that it’s now a common sign-off in this medium. But what does it mean? And why is it more acceptable than “Sincerely” or “Yours truly”?

It is in part be a reflection of our times. Email offers a speedier means of contact than an actual letter (and in some cases, a telephone), but that speed also means we’re sending more messages through this medium both for personal and professional reasons, and reading and responding to these messages requires a commitment of time. So it’s more important that the sender recognize the burden that they’ve placed on the recipient. In a time when letters took time to write, send, and respond to, it was important for the sender to attest to her reliability. Responses and actions were not so easy to take back. “Sincerely” and “Yours truly” which were meant to build trust between communicants. Credibility was an important determinant of whether a response would be issues. Today, as the web enables stranger to contact each other with little effort, credibility is less of a factor in determining responses (SPAM mail aside) when weighed against time.”

Big Data Is Not Our Master. Humans create technology. Humans can control it.


Chris Hughes in New Republic: “We’ve known for a long time that big companies can stalk our every digital move and customize our every Web interaction. Our movements are tracked by credit cards, Gmail, and tollbooths, and we haven’t seemed to care all that much.
That is, until this week’s news of government eavesdropping, with the help of these very same big companies—Verizon, Facebook, and Google, among others. For the first time, America is waking up to the realities of what all this information—known in the business as “big data”—enables governments and corporations to do….
We are suddenly wondering, Can the rise of enormous data systems that enable this surveillance be stopped or controlled? Is it possible to turn back the clock?
Technologists see the rise of big data as the inevitable march of history, impossible to prevent or alter. Viktor Mayer-Schönberger and Kenneth Cukier’s recent book Big Data is emblematic of this argument: They say that we must cope with the consequences of these changes, but they never really consider the role we play in creating and supporting these technologies themselves….
But these well-meaning technological advocates have forgotten that as a society, we determine our own future and set our own standards, norms, and policy. Talking about technological advancements as if they are pre-ordained science erases the role of human autonomy and decision-making in inventing our own future. Big data is not a Leviathan that must be coped with, but a technological trend that we have made possible and support through social and political policy.”

Great groups: What 15 things do breakthrough genius teams share?


Barking Up The Wrong Tree: “Warren Bennis and Patricia Biederman studied a number of breakthrough great groups to see what made them so successful. They compiled the results into their book, Organizing Genius.
They looked at the Disney’s Animation division, the Manhattan Project (developed the nuclear bomb), Xerox PARC (designed the modern computer interface), the 1992 Clinton campaign (pulled off an enormous victory), Lockheed’s Skunk Works (created the U2 spy plane and the Stealth Bomber), and others.
Highlights from Organizing Genius summarized by Erik Barker can be found here.”

Smart Citizen Kit enables crowdsourced environmental monitoring


Emma Hutchings at PSFK: “The Smart Citizen Kit is a crowdsourced environmental monitoring platform. By scattering devices around the world, the creators hope to build a global network of sensors that report local environmental conditions like CO and NO2 levels, light, noise, temperature and humidity.
Organized by the Fab Lab at the Institute for Advanced Architecture of Catalonia, a team of scientists, architects, and engineers are paving the way to humanize environmental monitoring. The open-source platform consists of arduino-compatible hardware, data visualization web API and a mobile app. Users are invited to take part in the interactive global environmental database, visualizing their data and comparing it with others around the world.”
Smart Citizen Kit Calls For Environmental Monitoring

First, they gave us targeted ads. Now, data scientists think they can change the world


in Gigaom: “The best minds of my generation are thinking about how to make people click ads … That sucks.” – Jeff Hammerbacher, co-founder and chief scientist, Cloudera
Well, something has to pay the bills. Thankfully, there’s also a sweeping trend in the data science world right now around bringing those skills to bear on some really meaningful problems, …
We’ve already covered some of these efforts, including the SumAll Foundation’s work on modern-day slavery and future work on child pornography. Closely related is the effort — led by Google.org’s deep pockets — to create an international hotline network for reporting human trafficking and collecting data. Microsoft, in particular Microsoft Research’s danah boyd, has been active in helping fight child exploitation using technology.
This week, I came across two new efforts on different ends of the spectrum. One is ActivityInfo, which describes itself on its website as “an online humanitarian project monitoring tool” — developed by Unicef and a consulting firm called BeDataDriven — that “helps humanitarian organizations to collect, manage, map and analyze indicators….
The other effort I came across is DataKind, specifically its work helping the New York City Department of Parks and Recreations, or NYC Parks, quantify the benefits of a strategic tree-pruning program. Founded by renowned data scientists Drew Conway and Jake Porway (who’s also the host of the National Geographic channel’s The Numbers Game), DataKind exists for the sole purpose of helping non-profit organizations and small government agencies solve their most-pressing data problems.”

Complex Algorithm Auto-Writes Books, Could Transform Science


Mashable: “Could a sophisticated algorithm be the future of science? One innovative economist thinks so.
Phil Parker, who holds a doctorate in business economics from the Wharton School, has built  an algorithm that auto-writes books. Now he’s taking that model and applying it to loftier goals than simply penning periodicals: namely, medicine and forensics. Working with professors and researchers at NYU, Parker is trying to decode complex genetic structures and find cures for diseases. And he’s doing it with the help of man’s real best friend: technology.
Parker’s recipe is a complex computer program that mimics formulaic writing….
Parker’s been at this for years. His formula, originally used for printing, is able to churn out entire books in minutes. It’s similar to the work being done by Narrative Science and StatSheet, except those companies are known for short form auto-writing for newspapers. Parker’s work is much longer, focusing on obscure non-fiction and even poetry.
It’s not creative writing, though, and Parker isn’t interested in introspection, exploring emotion or storytelling. He’s interested in exploiting reproducible patterns — that’s how his algorithm can find, collect and “write” so quickly. And how he can apply that model to other disciplines, like science.
Parker’s method seems to be a success; indeed, his ICON Group International, Inc., has auto-written so many books that Parker has lost count. But this isn’t the holy grail of literature, he insists. Instead, he says, his work is a play on mechanizing processes to create a simple formula. And he thinks that “finding new knowledge structures within data” stretches far beyond print.”

Empowering Consumers through the Smart Disclosure of Data


OSTP: “Today, the Administration’s interagency National Science and Technology Council released Smart Disclosure and Consumer Decision Making: Report of the Task Force on Smart Disclosurethe first comprehensive description of the Federal Government’s efforts to promote the smart disclosure of information that can help consumers make wise decisions in the marketplace.
Whether they are searching for colleges, health insurance, credit cards, airline flights, or energy providers, consumers can find it difficult to identify the specific product or service that best suits their particular needs. In some cases, the effort required to sift through all of the available information is so large that consumers make decisions using inadequate information. As a result, they may overpay, miss out on a product that would better meet their needs, or be surprised by fees.
The report released today outlines ways in which Federal agencies and other governmental and non-governmental organizations can use—and in many cases are already using—smart disclosure approaches that increase market transparency and empower consumers facing complex choices in domains such as health, education, energy and personal finance.”

Mary Meeker’s Internet Trends Report


AllThingsD: For the second year in a row, Mary Meeker is unveiling her now famed Internet Trends report at the D11 Conference.

Meeker, the Kleiner Perkins Caufield & Byers partner, highlights growth of Internet usage and other activities on mobile devices and updates that now infamous gap between mobile internet usage and mobile monetization.
But there are many new additions. Among them are the rise of wearable tech as perhaps the next big tech cycle of the coming decade and a look at how Americans’ online sharing habits compare to the rest of the world.
Here’s Meeker’s full presentation:

KPCB Internet Trends 2013 from Kleiner Perkins Caufield & Byers

The Performativity of Data: Re-conceptualizing the Web of Data


New Paper by several authors of the Rensselaer Polytechnic Institute, including Jim Hendler, Marie Joan Kristine Gloria, Dominic DiFranzo and Marco Fernando Navarro: “As the discipline of Web Science matures, its interdisciplinary claim has many researchers unsure about its core theory and methodology. Instead, we often see results that are more multi-disciplinary than interdisciplinary. The following contribution attempts to recast our understanding of the current methodologies and tools leveraged by the Web Science community.  Specifically, we review the Semantic Web and Linked Data technologies not just from a technical perspective; but, through a critical reading of key social theories such as Goffman’s theory of performance. Our goal is to re- conceptualize the performativity of semantic web tools their boundaries, and any potential avenues for future research”

The Art of Data Visualization (video)


PBS Off Book: “Humans have a powerful capacity to process visual information, skills that date far back in our evolutionary lineage. And since the advent of science, we have employed intricate visual strategies to communicate data, often utilizing design principles that draw on these basic cognitive skills. In a modern world where we have far more data than we can process, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating data into the media experience. Data has emerged as such a critical part of modern life that it has entered into the realm of art, where data-driven visual experiences challenge viewers to find personal meaning from a sea of information, a task that is increasingly present in every aspect of our information-infused lives.”