Innovation in Epistemology

Rather than being a dusty old concept in philosophy, epistemology is a source of philosophical advance, and is perhaps shifting in some even more vibrant ways per the contemporary science and technology era of big data, information visualization, synthetic biology, biohacking, DIYscience, and the quantified self.

Epistemology (the study of knowledge) is one of the three main branches of philosophy, together with metaphysics (nature of reality), and aesthetics (nature of beauty). The study of knowledge remains one of the most dense and unresolved areas in philosophy. Some of the usual concerns of epistemology are: What is knowledge? How can knowledge be acquired? To what extent can any subject or entity be known? What are the limits of knowledge?

There are two main traditional theories as to how knowledge is obtained: either through the senses and perception (empiricism; e.g.; Locke’s “All ideas come from sensation”) or through reason (rationalism; e.g.; Descartes’ “I think therefore I am”).

There has been much movement in epistemology from the basic structure of this empiricism-rationalism debate. Both empiricism and rationalism seek common foundations upon which all other ideas are built (foundationalism). Foundationalism is problematic in several ways, two of the most basic are ‘what are these underlying foundations?’ and ‘how do these foundations connect to upstream ideas?’ Traditional/analytic philosophers propose coherentism as an alternative to foundationalism. Coherentism is the notion of it being more important that ideas make sense together and flow from one to the next than that they have immutable discernible foundations.

Continental philosophy too has a response to foundationalism and other aspects of the empiricst/rationalist debate. Gadamer enlarges the notion of epistemology, suggesting that discovering facts is just one of many edification activities; that man’s focus is self-betterment, a higher level than knowledge acquisition. Likewise Heidegger thinks that the higher-order engagement of man is beyond knowing facts and rather in understanding. Further that the circular structure of interpretation (the hermeneutic circle: acquiring new information and updating thoughts) is what makes knowledge possible. Rorty also calls for a larger, more holistic notion of epistemology that includes both conceptualization and the demonstration of practice.

Other new epistemologies also extend, reformulate and reinvigorate our understanding of epistemology and can be brought to bear on contemporary science and technology. Some of these alt.epistemologies are from the areas of social, feminist, queer, decolonial, and Eastern philosophy.

Big Data Era: Not just More Data but New Kinds of Data

One aspect of 21st century data literacy is realizing that there is not just more data, but also that there are new kinds of data.

There is a significant shift from the model where ‘all data is salient,’ for example, each entry on a calendar is a relevant appointment, to a model of being able to recognize different kinds of data and appropriate actions related to specific data types. The focus level upshifts to the correlation, trend, and anomaly level of big data abstractions rather than on the unitary level of the data flows themselves.

Daily quantified self-tracking data for example may be useful from a longitudinal perspective and might not need to be reviewed unless there is an anomaly. Another example is that the relevant action might be looking for correlations across multiple data streams. There could be potential linkage between coffee consumption, social interaction, and mood per as this Sen.se multiviz project investigates, finding some correlation between social interaction and mood. 

Discussed at greater length in: Swan, M. Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0. J Sens Actuator Netw 2012, 1(3), 217-253.

Core 21c Skillset: Data Literacy

A core 21st century skillset is data literacy, meaning the ability to recognize, understand, and manipulate various forms of data. One way is through visualization, using visual techniques to both represent data, and also as an inquiry tool for finding patterns.

Some of the basics of data visualization are being able to distinguish between ordinal (qualitative) and quantitative data, and selecting corresponding plotting techniques. For example, a bar chart may be best for displaying simple quantitative and ordinal values, a scatterplot for multiple quantitative data values, and a shape-based plot chart for multiple ordinal values.

Beyond the basics, the next step is mastering more sophisticated visualization techniques. Some of these build on information visualization pioneer Edward Tufte’s work and include using small multiples (plotting several similar charts to highlight differences in one variable), bullet charts, sparklines, horizon charts, and adding a dynamic element to visualizations.

Top 10 Technology Tends for 2013

1. Big data ubiquity, along with machine learning algorithms, and information visualization
2. Video is the platform (example: individual YouTube channels with over 100,000 people making more than $10,000/year from ‘home video’ properties like My Drunk Kitchen, the ShayTards, and Right This Minute) 
3. Wearable computing and objective biometrics: Fitbit, myZeo, WiThings, smartwatch, smartring, wearable electronic patches and tattoos, Google’s Project Glass
4. Fracking
5. eHealth biohacking: Quantified Self-tracking, self-experimenting, group health collaboration, $99 personal genomics (23andMe), $99 personal microbiomics (American Gut Project), $5 home blood-test cards (Talking20) 
6. eLearning: Coursera, Udacity, edX, Class Central (MOOC aggregator)
7. Mobile is still the platform: worldwide smartphone adoption crosses 1 billion
8. Crowdsourced labor marketplaces: CrowdFlower, CrowdSource, oDesk, ClickWorker, Mechanical Turk, mobileworks, TopCoder, Elance, vWorker/Rent a Coder, Guru, 99designs, crowdSPRING, CloudCrowd, Soylent, microtask, LiveOps, Gigwalk
9. Computer security: increasing power of Internet-based activist hacking groups (e.g.; Anonymous)
10. New economic models (crowd-based): crowdfunding (Kickstarter, indiegogo, etc.), sustainable business, and crowdfunded debt forgiveness (from the Occupy movement’s financial arm: Rolling Jubilee)

Up and coming: Consumer EEG rigs wearable 24/7 (Axio, Interaxon) and attendant neural and biometric data privacy rights, ideally sans Faraday Cage 2.0

Still waiting for: nanotech, 3D printing, eHealth data commons with public longitudinal phenotypic data sets

Predictions for 2012, 2011, 2010, 2009 

Future Art

Art interprets, defines, and responds to the social and intellectual milieu of any era.

Impressionists reacted to the precise definition of the day, somewhat from the newtech, photography, by making things more blurry. Modern art reacted to everything having been made visible by transcending into the conceptual and abstract. What is the iconic reaction that could drive the contemporary art of today into a radical new era?

Computers, data flows, communications, machines, computation, and software are the hallmark of today’s culture. Their ubiquity and influence invites rejection and commentary, and the anticipated response has been portrayed in dystopian machine art.

Beyond the obvious rejection of the machine era, computers, software, and data provide a vibrant new medium for art. For example, data visualization could be seen as art modulated with information.

Sentiment engines have become the art and barometer of worldwide emotion, for example We Feel Fine (blogs), and Pulse of a Nation (Twitter).

The time lapse photography concept used for flight pattern visualization (US, worldwide) could be extended to other areas.

Software code base data visualization
One form of contemporary art could be the sped-up visualization of code commits to software repositories for large-scale projects. The code might look like living organisms, possibly interesting new species. The fast flash of DOS is the prokaryote to Windows 7 and Mac OS X eukaryotes. iPhone could be the raptor to the Android’s human.