10th anniversary
	Claude Steele
		Dean, Standford graduate school of education
			FMRI research neuroimaging research
			psychology research after imaging research
				before neuroimaging psychology was powerful science
			URestriction was based around the measurement of behavior
				ABaed on inferences
		Neuro imaging allowed measuring of neuroimaging itself
			Related to behavior and cognitive changes
				Changes did not apply immediately
					Tooktime
						But transformed the time
				Created a new language and
					insight into an age old science
		Technology development chan change these fields
			Education in particular can benefit from these studies
				civil life
					social issues
					technology can support the shifts in educational fields that can be improved
			Business and university communities need to be working together
				university recognizes this is critical
			MediaX as  crucial part of the graduate school
				Goal to generate strong ideas
	Roy Pea
		Faculty director
			Sees relationship between grants and donations
				Students who come to study
			University students can go deeper than companies
				Physical Interaction Design
					Scott R. Klemner
				The influence of research direction and teaching methods
					cae from median exposure
			Hiroshi
				Collaboration with mediax resulted in user interfere with social intelligence
					Used for systems healthcare
						Name: Nakagima
			Creative Commons dude
				Virtual Jurisdiction
					Questions changed legal rights n digital realm
					Lessig
				Forbidden problems
					Corruption
						Opening new opportunities for democracy
			Catalyst
				Broker
					Idea collaboration
						Member companies work together to do what they could not do previously.
		Larry Leifer
			Mission
				create breakthrough media innovations
			Hypothesis
				shortest path to better media is a better design
			Value proposition
				7 phd finding in 7 minutes
			pivot thinking and the differential sharing of information within new product development
				Mark Schar
					PhD 2011
					Interested in how decisions are made in the corporate world
						2 teams of six students each
							All the same problem solving preference
								Converger
								Diverger
									Make design challenge in the group
										Choose a shoe: experiement
						DIVERGERS vs CONVERGERS
							Which group
								Divergers work fast in the beginning but
								Convergers move slow at first, then quickly and slow at end
									Convergers choose the worst but justified their choice after
							Key issue in team work is getting people to collaborate
								Alexander Lubbe
									Tangible business process modeling
								How to get people to be tangible
						Clince redesign
							Bring in expert
								Physical modeming
									Capturing consensus in big picture
										Capture the model into computer that runs the clinic
						The company responsible launch their company the next week
					A visual representation medium to characterize moment to memo net concept representation is important
						Creating a language to code concept generation activity
							Interaction-dynamics
								A lot being communicated that is not fact and figure
						Provided a method to code the exchanges in real time to characterize activity
							Improvisation priciples
								Learning how to overcome the block
									You need to get around the blocks
						Focus on animated behavior
							Affected interactions is emotion
								What is the role of emotions in engineering teamwork
									Can we adapt methods that were developed to predict forced divorce
							Couples at work
								is similar to engineering
							Performance of a team can be predicted based on a short time period
								The study state that the lab and field study have similar dynamics
									The teams had 99% similarity
										the performance can be tracked
										The coding can be done in real time
								The research created a new coding
									The power of hedonic balane
									Wow team
									thank you team
						Greg Kress
							intrinsic member difference as predictive media fro long term team performance
								What 17 different factors contribute to team performance
									Everything contributes
										But nothing contributes predictively
								Except 1 thing
									Possession of a extraverted feeling person is valuable
										They are open to the world and perceive from the world
										The performance
								The more extraverted feeling there was on the team the better they performed
							!!!!!! The extraverted feeling creates a better team and better design
								Intrinsict difference matters
									Extraverted feeling matters the most
										The Douglas while personality profile worked the best
						Johnathan Edelman
							Understanding how people influence media and how media influences people
								Looked at teams with radical ideas during design sessions
									Looked at the ones that were most productive in radical design session
								Correelated with media used and organized it
									Feeling acting and narrating
										Looking at innovation
								The low performance team is not as emotionally involved
							The engagement that are optimizing and breakers
								The ones that gesture more create more
							!!! People who gesture more are the ones that create more
								The activity and animation of the groutp creates more product envelopment and better understanding off the innovation process in radical ideas
							statement about gestures being important
	Ramesh Johari
		Professor in management science and engineers
			/The engineer as economist
				The design and use of online market platforms
			El Roth
				Winner of noble prize in economics
					He said we can engineer markets like woe couldn't ever do before
		Look at markets
			Question: Who can I trade with
				Who are my competitors
					How much should I pay?
				These are the challenges
			The institutions have changed at a quick timescale
				][The information available to you is relatively limited
					THE QUESTIONS ARE DIFFICULT TO ANSWER BECAUSE OF HTEIN FORMATION LIMIT BASED ON YOUR PARTICULAR TOPIC
			THE RISE OF ONLINE MARKET PLATFORM AIS CHANGING
				look at Etsy and Ebay
					Sponsored earch market
						Odesk
							task rabbit
								app store and google play
									Uber and kick starter
			How do online markets change the play of markets
				The two important
					Fine-graned matching of makert participants
					Fine-grained information about matches
			An unprecedented ability toeingeer the economic interaction
				these are the opportunities
			We cana not only find the information but we can mine the results
				How we can understand how happy people were after
					The serve and the rating
						In the past this was not something that we could access
				Economics change when you can engineer the market
					You choose what people see and how they make decisions
						Look at the market designer and the market participant
			Centralized or decentralized matching
				Opacity or transparency
		What is the matching process and how much should you intervene
			Market Designers
				The example is on uber
					The über people centralize the whole market place
						You never choose, you just say you need a ride
					Odesk is very decentralized
						The filter system i a n engineering of the intervention process
							There is a limit of how much you can see at once
								how do you choose
				Centralization has an advantage
					if you think you know what the matches should be, t
						then you can implement them
							The national resident matching program is a good example
								Single service
				Decentraliztion has its advantages
					If you don't know what the user wants,
						Then you can let the party express their desire efficiently
							Search engine
				Oopactiy and transparency
					You have the choice to show a lot of information or very little
						The theory says that more information should make more market inefficient
							More information makes a cognitive burden on the decision maker
					We moved from web 2.0 is too much information
						3.0 is took uch information
							Not so obvious
				Not obvious that full transparency is the clear decision
					To much information ix not always good
			Market participants
				The match i a finer grain
					Finding the trading partner
					]pricng goods to sell
					 bidding on goos buy
						 What is the optimal strategy for X?
				 What are the optimal for individual to a group
					 Algorithmic trader
						 financial security
					 Bid on ebay
				 Pricing goods to sell
					 Most compelling problem
						 If you are a merchant entering the online market the pricing changes rapidly
							 bidding gooods toi buy
				  one example
					Content on the go: the economics of the market for mobile apps
						How should developers price their apps
							rapid experimentation
							stiff competition for visibility
								Project: a dart driven study of optimal strategy
						  question: how do you form marketing strategies
	  John Willinsky
	   and Alex Garnett
		   Left to their own devices: automating xml parsing and rendering for scholarly publishing
			   Public knowledge project
				   Benefits: Your document is your metadata
					   The document itself contains al the content available in it
						   There is not separate metadata
					   Documents being marketed up in documents have been existent for a while
						   is not wide spread with publishers
			   Markup is expensive
				   Someone has to tag manually
					   There are tools to automate the process but the tools are not perfect
		   The public knowledge product
			   Developers of open journal systems and open monograph press
				   pkp.sku.ca
					   Opensource software to support open access publishing
			   Userbase happens to include many such small publishers who publish exclusively in PDF
		   Goal: Kill PDF
			   Beyond the PDf
			Things PDF don't have:
				well-structured text mining and indexing
				rendering in different formats-
					mobile
				embedding dyanmic contact
			XML publishing is difficult
				So its complicated
					Despite is having many good tools
						available at different stages at this workflows
			142.58.129.113/dev/
				The demo
		External services
			Start with unformatted article drft
				Submission in PDF form
					Does fuzzy pdfx parsing
					XSL transformation from PDFX to XML to NLM XML
					can be turned into HTML
				Document text reflowing
					unformated article
				Submission to pdf
				turn to XSL
			Citation parsing
				Extract references and ParsCit
					ParsCit good at xml pdf
						find author and content
					Tool BibTex
				OJS plugin used soon
				PDFx
				OMP
			CrossRef
			mPach
			University of Michigan mach system
				support eBook
				HathiTrust
			CrossRef
				Automatically link in PDF
			Developers
				]Damion Dooley
				Steve Pettifer
				Juan Alperin
				Alf Eaton
					NLM Spreadsheet
	Paulo Blilkstein
		Assistant Professor
			Reinventing Science and Engineering in K-12 Schools
				Assistant Professor
					School of Education
						reinventive science and engineering
			Problem in science and engineering
				STEM pipeline
					By 7th grade- 70% don't have any interest in science
						Self reported in science
				In 10 years people are not learning
					Trying to teach hands on science
						In a place with desks and white or black board
							If we care about swimming, we need to build a swimming pool
								You need to have an environment that fits the learning process
			Stanford created the first global project and making engineering and fabrication
				FabLab@School project
					Projects all around the world
						Renovate one big room in the school
							Create 3d printer, robotics, engineering equipment
				What can you do about science?
					People can actually make all the things that they learn about
						Don't just learn about leonardo divimci
							Do what divimci did
					Talk to phat: Actually go through thep recesses
						Students who love Bach, but no ability to play music
							Made a robot to play music
								Non-eingineer
					Students build their own microscope
						They decorate them their self
							They made their own instruments
								More engaged
						Brail: self rocking stroller
							creating solutions to problems that people have
								Young kids building their own tools
									Build new toolkits
										Bring to younger kids
											Start at a younger age
							FabLab@School
								[email protected]
	Renate Fruchter
		Global Teamwork 3.0
			Question: how do we harvest knowledge and foster creativity on global/macro level
				Micro to macro
			How to capitalize on core competency in global corporate competences
					space, time, technology, sickle., culture
						disrupt work process
				How do you communicate
					How do you get feedback and share ideas
						How do you let recommendations known to team members and boss
				PBL Lab creating a collaborative eco system
					Developing collaboration
				people, Places, , Devices, Network Infrustructer
			M3R
				Remote collaboration in mixed medixa mixed reality
					fusion of physical, ritual, and mobile works
						i room physical work
						3di collaboration team space virtual world
				Real time situation status and decision making
					Combine smart board collaboration and digital space
			Multiple Channel Presence
				Face to face is best
					But multi channel presence can work
						virtual, physical, robotic, world
							Collaboration
					Integrate sensor physical presence
			Wired for feedback
				How to make so many choices
					We build on our own data
						the power of feedback is not to control you, but to give you control
				We can self resulate when we are given control
		Six steps to engagement
				I know where am
					i know where you are
						we know where we are
							we know where we want to go
								we know where we can go
									we move
			Feedback nudge
				eMoC Prototype
				LPBL Lab
			10 key characteristics for co-colab
				1. foster cocreation, interaction and coaction
				transform the wAY participants express ideas and solutions
				enrich forma and informal interaction experiences
				increase awareness, attention, participation, and engagement
				sustain persisntect presence of content and models
				leverage knowledge in context
				facilitate tanspacrency
				maximize flexibility
				create emergent work practice and social dyanmics
				create and mange choice
			  10 more take aways
				  product from knowledge to information
				  from viewing to experiencing
				  group dynamics to cohesion
				  to sequential to agile sprints
				  to ministral activity to result acuity
				  to being a source to being a a network
				  to broadcast to crowdsource
				  to present to participant in large space
				  from multitasking to engagement
	 Anthony D Wagner
	 	Brain Patterns and the Mind
		 	Dept of Psychology and Neurosciences
			 	Cognitive neuro scienctist
				 	Codirect center for cognitive and neuro imaging
					 	Looking at imagine to address societal problems
						 	cross disciplinary
		 	Lab is focused on neuroscience and learning and memory
	 	Question
		 	How do we learn from experience and draw on memory to informal current thought decisions and action
		 	how can we optimize learning including through use of immersive learning environments
	 	Goal:
		 	Direct learning to solve issues
	 	Interst
		 	Memory and disease
		 	'Neuroscience for society'
			 	technology use and nerocognitive function
			 	law and neuroscience
	 	Look at bain imagines technology with
		 	Machine learning
			 	How to use interaction of technology to address important questions about mind and status of real world
		 	Functional brain imaginegs changed the field of psychology
				Memory change
					Look at brain data to inform questions about psychological function state
						At the second phase of a field
					First phase,
						"where in the brain are there changes in jeural activty
			Look at the faces scenes sounds works
			Look at patterns of activation
				See where the pattern is the change when certain events were active
			This data is being used to analyze patterns
				individual neurons can not be analyzed
				Machine learning can help differentiate the pattern
					Mutlvariate
					pattern
					classifier
				Decode what people are looking at
					Look for test patterns
				Can you decode from neural activity whether someone has seen a face or not
					Under some conditions you can be near perfect
						This can look at brain pattern to see if someone has seen a face before
							Forenscs implication
								You can look if ads are being successful
									Look at what is being remembered
							Neural evidence to see if things are being remembered
						Decoding the contents of the memory and cortical reinstatement
							Interesting that we don't need to know specifics
								But we are looking at the examples of patterns
									We don't need to know the specifics if we can analyze the change
					Hippocampus is the first to be affected with alzheimers
						if you don't have a hipocampus, you will not be able to remember
							The cue allows you to create pattern
								Scientific fiction
									judicial can look at brain acidity to know if you have seen people
									criminals create brain disease after crimes are kept
									people want to live in bliss so they are not a threat
									sincere is not perfect but has results with high possibility
										Story about cyber murders
										Coding and password remembrance
										knowledge ofspeicifc planted information
										not just faces but experiences
											Looking at what is remembered and recallable and how is can be masked
									[ep[;e willingly forget
					Training patterns
									Words and scene event
						words and person events
							Look at the result based on encoding data
								Training patterns
									Lookg for the reinstated cure
					  	Understanding retreival patterns
						  	By looking at activation
							  	people can decode the kind of memory content they are bringing back to life
								  	Look at the pattern
									  	See based on the stjdys
								  	look at the memory performance
							  	Can people be put in multiple virtual worlds
			  	S[atial coding in brain patterns: decoding virtual worlds
				  	scan them while mentally in virtual worlds
					  	Learn from their neural disturbed pattern to see if people are in the world
						  	brain imaging can show if people think they are in virtual world one or two
							  	The wedding of digital media science technology can look at legal restrictions
				  	People can analyze the possibilities of analyzing what world people think they are in
					  	Neural devices can understand expression
						  	People could understand mental illness
							  	Reasons of feeling alone or together

	Lessig
		Schools are poor
		graduation rates is low
		Bill and Malinda gates foundation has goal for 17 year goal of having 70% graduation rate
		US dropout factory
		7/10 do not graduate from college
		learning prospects today
		k-12
		What can we design differently
			The k-12 school is 1 million minutes
				Hour long classes
				with seat time requirements
				students grouped by age
				lecture based teaching
				paper textbook is primary learning
				very little data
					reports midterm and final
						Have the [people give reports to students at every class
						Ed.gov
							national education plan
								technology plan
								very different vision
							Learning in always on network world
									The figure depicts a mobile powered by technology
										Single teacher transmits all students
										Students should be centered We have centered topics that should be taught
											We have
										We can have student centered learning

										:earning communities
											lmpw;edge bio;going tools
												peers with common interests
													onine tutoring and guided courses
													mentors and coaches
												peers
												expertise and authoritative goals
										lifelong and life wide learning
											We can have ongoing access to learning tools throughput life
												Possible that people can have connected learning
													We can bridge in and out of school learning experiences
													We can have in and out of school learning.
													We can extend the learning time because people spend less time in the school

		The national plan can have changed school structures
			Teachers can give visual learning

			The math and science quality drop rates for low income students is specially declining over the hsummer
				People can use new services to conner students to school through non class rime through games
	Conntecting merica: the national broadband plan
	Transforming american education learning powered by technology
	LEAD COMISSION: Leading education by advancing digital
	Look at the LEAD commission
		business and academic leaders who are reporting to the FCC
			Looking at a whole raft of state polices, finding better ways to aggregate their markets and gdo smart purchasing
		Whatr are learning analytics
			The simple definition
				The learning analytics is about collecintg traces to hat learners leave behind to cuimprive learning
				To improve teaching
				To develop online learning systems
					To better improve peoples learning experiences
						Personalized adaptive learning pathways through online learning systems  that can dbettere support learning for everything
						Eric Duval, U. Leuven, Belgium LAK 2012
							Learning analytics is about collecting traces that learning leave behind and using those traves to improve learning
						Recommended learning resources
					More engaging and inspiring 23/7 learning: games projects and badgers for competencies
				Can we identify students difficulties early and provide the kinds of sppport needed for success
				Continulosly improvable curricula: learning networks getting smarting with every click
					Comparitve pdagogdy
						]
						We cn A/B test th e success of certain teaching examples and solutions and difficulty
							We currently have a one-size fits all system
								Persoinalization means that sutdet get tho have a choice in what they learn and how they are taught

								Personalization, differentiation, individualization

								US DEPARTMENT of EDCUATION, National education technology Plan (2010)
									Adaptive pacing
										Adaptive peda gogy,
										 personalizd learning goals.
			 Grand challenge problem: Personal Learning
				 The grand clang defenses a commitment by a sciienfitifc community to work together towards a common goal- valuable and ahie3vabe within a predicted
		 Jim Bray: Director microsoftJim Grey: What Next? 2003) A dozen information-technology research goals: Journal of the ACM 50(1)
	 Grand Challenge Problem #1
		 Design and validate an integrate system that iprovides realtime access to learning experiences tutnded to the levels of difficulty and assistance that optimize learning for all learnings, and that incorporates self-improiving features that enable it to become increasingly effective thtourgh interaction learning.
		 [such integration systems should
			 Discover the appropriate learning reousrc4es
				 Configure them with representation that is appropriate for age and background
				 And select appropriate paths and scaffolds for moving the learn through there right resources with optimal level of challenge and support
		 WE have learning management system
			 And sequences of materials
				 We don't hasave systems that perform these functions dynamically
			 It would be essential to have some nonexistent systems
	 What are in student information systems today?
		 basic demographic
			 very little grade
				 Background (some judicial)
				 	economic
					 	Information and medical diagnostic information
	 	With digital learning
 	We should have Student Information Systems
	With digital learning we would have deluge of data - 5 orders of magnitude or greater than our slim data today.
		Massive dataset e-sciece explorations have led to breakthroughs in: biology health, environmental science, astronomy, physics
			Attract these big data in education to have big data education scientists
				Need people in the education domain
			SLC
				Shared Learning Collaborative
					Alliane of states, foundations, educators, content providers, developers, and vendors.
				Project: Agile/scrum for class
				Ways for people to learn outside of school
				A cloud for learning about things in real world
					Bring outside world into the classroom
						Bring and share
						Show and tell for learning
					diverse learners
			Technology and learning maps
				Provide graphical representations of the representation for application programming interface
					Plug the curricula
				The data Deluge
					Enhaving teaching and learning through educational data mining and learning analytics
					 And Issue Brief
					 	]Us. Departement of educatuob
					 	!READ THIS'
			 	look at analysis o the benefits and real outcomes from the EDM (Leanring analytics) ago improve learning process
				 	What are the problems with big data in education
		 	There is a difference
		 	Computer interactive learning analytics
		 	vs
		 	ultimo dal learning analtycis:
			 	CILA: Caputer fine grained interact6ion: keystrokes, clickstream
		 			Look at relations between large systems an relation between nation and departments
	 			MLA
		 			Drings up sensor and emotion
			 			Have privacy issues
			 			!LOOK MORE AT THIS
 			What are the scientific problems?
				A lot of these are modeling chanllgnges
					learning what the use knows based on aaho wt h eysintercaft
						With the systems
							We need to model the user behavior
							User emotion
						D o they like it? About to quit?
					user profiling ]
						Beign asble to
					Domain odeling
						User knowledge, user beahvirior,  anuser ex[erience molding, user profiling, domain modeling, learning com[ponenet analysis
						We need edicatopm data scoemtosts tp make progress on those issues
					`		The complex reasons
				challenges of personalization
					Pacing, tayloring, recommendation
				Interactive data visualization systems for
					look not just at retrospective guidance, but runtime guidance to see how their efforts are improve the success
						Look at realtime ability to see how people are learning
			The relationships of being alb to the creft the economic markets
			Look at how learning markets
		We ail be cable to decide that people are able to control the learning makreta
			The statistics and study about learning can directly be related yo the schools.
				look at the figures of learning urges
			infomrnuing curriculum designs, based on discover of learning curves t]
				Visualizations can visualize the students error rates and understand how students are progressing or making mistake to make sure that the state of information being distributed in best fit for the students
				The study can be given for knowing where the error rates are
				This would show that we could remove time away from the unnecessary areas and focus time on the difficult
					rescue wasted tacking if you know people are learning from the beginning
						Focus on parts that re more difficult and how people can be
					Look at how SLC shares the data that it creates to collect this information and present in ucha away that allows users to start and maximize learning
						provide immediate feedback to the teahcers to maximize the effort beings spent
							Look at variables: Teachers effort, ttiem spent to teacher,
					look at the law s around teaching
				Legal issues are that styes have different lawaw werlated to sharing data4e
					so you could bnot work across borers or states because they data can not be use
					Labeling issues are difficult]
						Labeling can be unproductive sometimes if they were not labeled
							So there are issues associated with labeling
								earner profiles would create many secondary issue associated with what roles an who would have access to the stereotype ricks
						student profiles associated with stereo type threat
							people in administrative situstioanrs care not alrwa as
					National Science Foundation is getting more active in the learning
					"Dear ColleAGUE ;ether = data =tenseie edicatoipn= related research
				Society for learning analytics focusing on analytics research
			Learning analytics work group
				Working together to increase arguments for spending more money on the learning technology development fields
			There are no degree programs in the subjects
				ie. learning analytics, learning analytics data science, education data science
				Need new prosodic programs
					New data sincere fields
				Graduate training promra
				Gates Foundation
					Would follow a given on focused for human capital development plans
					Scoping priorities in research tropics and tools for in	airy
			REQUEST TO GET INVOLVED

	Pamela J. Hinds
		Identity and performance
			Reativity and feedback
				Cultural context
					Talk with spady about differences in culture
			Look at Distributed Work
		Request slides and reason at school

	Iterative prototyping
		Learning quickly about their flaws and constraints
			Hope to result in better builders
			Look at focus and culture
		Look at the creative process and iteration
			Look without feedback the second time
				what happens when you have iteration with feebacj and without feedback
			Looking if national background made a difference in innovation
				Look at the conditions
					Feedback in middle and end
		Objective feedback
			Statistics
				Numbers
					Look at
				No differences contrary to popular belief that there is no difference in creativity
			Westerners did better with iteration rather than not iterating
				Eastern countries did worse with iteration
		Study: Culture and Iteration
			West was more creative when they didn't iterate
			East became less
		IterationxCulture
			Feedback is good for westerns when iterating
				Westerners increase in engagement with feedback
					But feedback doesn't not increase creativity
			Stereotype Threat
				Influences the creativity and engagements are
				Team of westerners benefit from iteration with feedback, but are less creative when there is no feedback:
					it may suggest that iteration is undirected without feedback
				Teams of easterners creative performance is harmed by iteration with feedback, but creativity is increased without feedback.
			What is the role of creative self-efficacy ( Tierney and Farmer, 2002, 2012) and tolerance for struggle
				Tolerance for struggle:
					We learn in the West that when we struggle, that we are not smart and its not good
						But in other countries, tolerance for struggle is valued more than the right answer
							The creativity may be influenced by the values in different countries
					Look at the cultural values and context comes into play
				How does a task come into play:
					Was a redesign of the student union less inspiring of novelty?
				Look at other relations of culture, interation, creative, focus, internal, external, mixed cultural groups, feedback, feedback
			Question: look at the groups of people who changed over their culture and returned home.
				The culture of people who were in oneCenter for Work Technology Organization

	Clifford Nass
		Four most important things to know about media and their implications
			just got off sabbatical
				Psycology of media
			CHIMe Lab: communication between humans and interative media
		Five important questions
			Why is media use continuing to grow
				How has media changed human relationships
					What is the most important locus of media growth
						How has emotional life changed?
		1. Growing media use
			Media use is growing in all age groups
				Teens
					Music is consumed in enormous quantities
				Tweens
					average 12 year old has a cell phone 3 years ago
						average 9 year old have a cell phone now
				Adults
					Respond to emails
						have open multiple chat windows
				Kits
					More than cellphone
						Legos moved online
							What lessons teachers in legos
								when missing a part
								When you can't take them apart
							Systems are perfect
				Babyes
					When parents are brest feeding
						they watch tv that parents are watching
			What is driving the chang?
				Partial Media Displacement
					New information product and service appears
						It steals time fro other information activities
							Doesn't steal all the time
							And steals it from non-media activities
								We don't have a fixed media time budget
									We have an increasing lessen time available media
							Media stealing time from sociall rich interaction
								simultaneous talking and device usage
								parallel play
									before people can play together, they play side by side
								Adults have parallel play
									people on their own laptop or tablets
										Non-social interactions
											Just proximate
								Inflection point
									Media displacement time
										Parallel media use
											Double and triple booking
												Multitasking
											Drive to increase media use
												Multitasking is an outgrowth of media time displacement
										Students use 4 media at one time
									Horizontalization of media use
										aka multitasking
						Implications to multitasking
							Continued growth of multitasking
								with concomitant cognitive and social deficits
									its bad for people
							Selling attention becomes challenging and implications
						Measuring attention becomes challenging
							Because attention is nota single investment
								Decoupling makes it difficult to know where people are paying attention
						Immersion becomes devalued
							And there are conditions set for people to allow themselves
						Multitasking is bad for the brain
							it requires more mental power
								people follow to feel better about thinking
					 Analyzing barney
						 Ilove you
						 you love me
						 we're a happy family
						 great big hug and kiss
						 won't you say you love me too?
							 (even thought no one can hear but its important)
						 we are friends as friends should be
							 (faceeeeebook)
							 You don't see each other, but because you can contact through media, you define friends

					 Implications
						 devaluing of face-to-face communication
						 attenuation of trust
						 fame as the #1 value in pre-adolescents
							 It used to be compassion and community
								 Not personal and about people (social)
						 Social media algorithms create definition of self
							 classic sociology talks about we learn through interacting with others
								 Social media gives us content thats defines who we are
									 Creation of self is not done through person to person
										 its done with person through algorithm
				 	3. Most important locus of media growth
					 	automobile
					 	increasing automation means more attention to media
					 	limitations of external distractions means more multitasking
				 	implications
					 	Models for expelling partial intelligence
						 	SIRI doesn't explain why you are getting the wrong answer
							 	It doesn't give feedback how % its correct
					 	Playground for varied screen sizes
						 	Car windshields are a big screen
					 	Playground for new interface paradigms
						 	Innovation is coming out of car companies
					 	Manifesting brand
						 	People want SIRI to control car
							 	Interface companies are owning the car experience
								 	SIRI aka Apple owns your car experience
				 	4. How has emotional life changed?
					 	Social media was the place to discuss hard-to-discuss feelings
					 	Facebook is the happiest place on earth
						 	supplanting disneyland
						 	Faces
							 	All the faces are happy
								 	People don't see the sad
								 	Algorithim circulates the happy ]
									 	Because people don't like the sad
									 	Then people create happy
										 	Because they want likes
								 	Sadness vanishes from social media
										Negative feelings are the hard one
											Tolstoy
												"All happy families are alike, but all unhappy families are unhappy in a different way"
						Implications
							Young people do not get to practice negative feelings
								Never see negative feelings so people don't know how to manage negative feel ings
									People don't know how to manage their negative feelings os they become sadder
							Young people and increasingly everyone have less skills in
								Emotion regulation
								emotion reading
								working with other's emotions
									high multitasks are not as good at knowing peoples emotions
							People think that stye are less happy than the average person
								depression
								social anxiety
									Problems associated with cognitive development

	Biron
		Where do you work?
		Where do you play?
			What do people think about where they play?
				They love it
					Feedback
					Never question
					Always know about contribution to the team
					Visually rich environments
					Money and time evidence
		How do get world together
			Harvard Business Review
				HBR.org
					About Games
		What are the intersection
			games are big
			new generation
				different tolerance for risk
				failure is not a problem
					try again
			there are recipes for great games
			there is a science about the recipe
			gamers already do work
				Looking at similarities to work
					making judgements
					categorizing content
					working in teams
			play is NOT the opposite of work
			engagement is a good business
		Demographic
			Games are played by
				mid-30's
				involvement in games
					are lower BMI
				Higher social network
				Better grades
		The ingredients for successful games
			self presentation
			narrative
			feedback
			transparency
			teams
			economies
			ranks and levels
			rules
			communication
			time pressure
		Company problem
			Engagement is important
				Why did people quit?
					Didn't know if they were making a contribution
					Didn't feel fun
					Didn't feel any control
			Engaged people are:
				Passionate connection to work
				Believe they can impact quality, customer satisfaction, costs
				They are less than 30% of the workforce
		 Games and
		 	entertainment, sales team competitions, safe driving, diabetes bolo tests, home energy use, brushing teeth, carrier landings, delivery truck loading + routes, chip manufacturing estimates, taking medication, drive time lotteries, consumer help on forums, software debugging, tank driving, filling out forms, physical activity, surgical competence, folding RNA molecules, public transit contests, software testing, retail scanning accuracy, palette loading, call center speed + quality, AGIE computer teams, security video footage
	 	Gamification is not
		 	pointsification
			 	but it can include it
		 	Using leader boards
		 	Making interface and commercialize games
	 	Imagine:
	 		A security job thats like a game
		 		You "can" find a bad guy
			 		Add in virtual issues
 		What are the most important ingredients
	 		Its more arousing to be apart of a narrative
	 		Applying game
	 	Dangerous
		 	Powerful also means dangerous
		 	There will be disruptions
			 	discouraged losers
			 	jealous bosses
			 	employment and hr issues
			 	abridgment of privacy
			 	avatar mistakes
			 	anti-social narratives
			 	repetitive stress

	 StartX
	 	Community
	 		Trust
		Mentorship
		Customized Education
			Organized access to opportunity
		Resources

		[email protected]
			founding guy

		Reid
			Cloudfleaps
				dashboard for information
			Didn't come to start a company
				Felt optimasm
					Anything is possible
				Generosity to provide answers to all questions
					Access to other contacts
						To build a new foundation

	Coursera
		Look at the pedagogy of the Coursera about section
			Standard lecture
				Mastery
					Personalizede

	Nemo
		Question: how do you design calm?
				Or relive the memory of calm
			When are you most productive
			when are you most creative
			when are you the most innovative

	Boris Deroiter
			Ambient Intelligence
				many individble distributed devices throughout the environment that are integrated into our lives
			System intelligence
				that know about their situational state
				that can be tailored toward our needs
				that can change inrespoend to your environment
			social intelligence
		experience Research
			Context studies
				collect user insights and requirements
			lab studies
				test usability and user acceptance
			field studieds
				validate and study longer term effects

	Crowd-powered systems
		Articles
			data collection, machine learning training, user studies, social science experiments,
			games with a purpose
			collective action
			historical roots: distribute
		crowd-poewred systems
			Challenge: Quality
				1000 participants on amazon mechanial turk flip a coin and report 'h' or 't'
		Interactive systems that embed crowd intelligence
		computational techniques that product high-quality, fast results
		Paid crowd sourcing
			Amazon mechanical turk
				Large number of tasks for not so much money
					pay small amounts of money for short tasks
					amazon mechanical turk: roughly five million tasks completed per year at 1-5 cent each
					population: 40% us, 40% indeia
			Soylent: word processor
				Wordprocessor that recruits crowds to aid complex writing tasks
					embeds crowds as first-order building blocks in a software system
					decomposes open-ended tasks
						Shortn
					Crowdproof
						Using people to get perspectives
					human macro
						people will go over and bib text
				Two personas - an example
					lazy
						proofread and giveback
						does as little work as necessary to get paid
					overdone
				Result can be low-quality work
					programming with crowds today is haphazard: we lack design patterns
				Solution: Find-fix-verify
					find-fi-verify is a design pattern
					find:
						find an area that can be shortened
							collect a lot and look for independent agreement
					Fix
						have it fixed
					verify
						send it back to the application
				Does this work?
					how high is the quality
					how long does it take?
					how much does it take?
			Adrenaline: real time crowd sourcing
				Crowds in two sections
					votes in five seconds
				Votes across 100 frames
					Synchronous crowds
						Crowds can be faster than any individual member
					Rapid refinement

					Genreate and vote
					Genrate one
				Integrate social and crowd intelligence as core parts of interaction, software, and computation
			crowd powered systems enable experiences that neither crowd nor machine intelligence can support alone.
			computation ail be critical to the wisdom of the crowd
		hci.stanford.edu/msb

	Jeremy Balenson
		digital footprints
			a decade of media-x research on using nonverbal behavior to predict behavior
				vhil.stanford.edu
		Can we predict a person's future behavior?
		honest signals
			alex pentland
				unconcious nonverbal ocial signals
				evolved from animal signaling mechanism
				unmatched window into our intentions
			Historical attempts: small amounts of data
				Sigmund Freud
					Hours and hours of repeated therapy
			Historical Attempts: obtrusive
				trying to measure non-verbal behavior or MRI is clunky and difficult
					When you measure it, you change it
			Historical Attempts: Laborious
				Paul Eckman
					Trying to code visual coding
						Trying to infer emotion
					Takes hours of time to analyze
			Historical attempts: biased by theory
				You are biased by theory
					Need to use your theory
						Need to nod and smile
							Limited by what your brain/theory can fathom
					If you have massive non-verbal data that you don't have to comb by hand, it frees you from your paradigm
			Digital footprints today
				Kinetic Explorer using for non-verbal data
					State of computer vision that emits sources of energy
			Micro "Big Data"
		Our approach
			10 years ago
				do a test:
					capture non verbal features
					calculate statistics
						time
						frequency
					train learning algorithms
						Train-test paradigm
					test new cases
				Question: can you see facial expression to predict a car accident
					Yes
				Question: can you prevent operator fatigue
					Moniter movement while subject participate in a simulated work line
					predict performance
						Errors can be tracked based on face
				Question: can you manage shopping and know when someone is buy/wants to buy?
				Question: Personality/demographic
					Moniter 80 students for 40 hours over six weeks in second life
					collect all input data every second
						Based on movement
							calculate race, gender, gap, weight,
				Question: can you predict if a person is Learning
						Look at two people do see who is learning or not
						non-verbal pattern with student and teacher
				Ethics;
	What kind of experiences bring out the best in people
	What is the role of technology in our lives
	What questions can we explore with us to add value to the work we do?

Keynote
	Larry Lessig
		The forbidden problems
			Talking about something old, new, borrowed, and new
			Talking about something old

			1	Public and private goods
				Public goods: Defence
				private goods: underwear
					Defence
						publicly provided
					underwear
						privately provided
					generalizations: we should publicly or privately provide respectively
				Fable of the bees or private vines
					We talk about Adam Smith
						Wealth of nations
							Peoples motivated by perfectly private moties, can not provide public goods
							He intends only his own gain, but is led by an invisible hand which is not his own intention"
						Sometimes we can get the public good in purely private motive
							Anarchists as wrong as
								sovialists
						We don't need an extreme. We can have an in between.
			3 Dan Bricklan
				Partnered to create visical
					"The cornucopia of the Commons: HJow to get volunteer labor
						Talked about napster
						suggested we came to a social sharing
							[soviet msusic here]
						Explained sharing as a by-product
							Byproduct of what people wanted
						Default code: your music is shared
							Default produced the "public good"
								No altruistic sharing
									It was just the default
								Same could be said of CDDB Server
									Acquired by grace note
										You could put a CD in a  and the data would be collected
											"design the database so people use the data they enter, thus increasing the potential for them to use it"
										"Public good is the by product of a private good.
											Not quite public.
												Corporate good to be eact.
													Forexample.
														Google:
																They use it to produce a better research engine.
														Like Apple,
															Wchich takes the data we give it and produces a better corporate good
											Like MAazon, Like net flicks.
			And Facebook
				And all the other people.

		There are two economies.
			The commercial, sharing
				Whoops, theres a third.: The hybrid.
			Sharing entity leverages a commercial economy.
				Its hybrid because it used both.
					Not unroblematic.
					What are the issues with having relations between  the two?
				Does this culture of participation build business on our collective backs?
					Social justice in the "Facebook" state
				What is the relationship between the corporate value and the private groups that produced it.
			Sharecroper relations?
				Like free production???
					slavery?
		Back in the past
			Center story was
		"Dear Facebook: without the commons, we lose the sharing web.
			Terms of service around instagram
		The salience of this corporation produced on top of the labor of individuals
			When you frame it as exploitation
				The obvious answer for this question is...
		Lok at the software layer
			Open source guy
				"Would commercial entities be allowed to profit from this production?"
				in the GNU software, he said
					Theres a basic social contract
			Copyleft
		Commercialize Galore.
			Make as much money as you can.
				So long as you leave as free what you took before and contribute back the improvements you made
					Redhat's profit
			Thats the social contract that free software had
				And wikipedia.
					Modifications must be licensed back freely
			The software layer seems to be solved
		?But the con tent layer is not solve
			"Bushified: Internets"
		Internets were combined, but
			Now they are islands of innovation
				Rules to own
					Permissions to particiapte
						Only one that shares:
							Yahoo: Flicker
				The only one that expresses no control of its innovation
					Microsoft Exec denies trying to harm netscape: LA times 1999.
						Microsoft's decision to control who could develop on their platform
					Today air supplies are cut all the time.
			The industry takes the right to decide who gets to innovate and how
				We see pushback from that control being exercised
					APP .net
						Twitter inspires a developer's revoke
							"Are tired of being betrayed by so-called open platforms that suddenly change their terms of use to blithely destroy young and growing businesses
								Dalton Caldwell Punches Facebook
							Years ago, this was a federal government problem
								Now its a normal.
						3. The hybrid economy is learning something.
							It its learning about the limits in which it lives.
								earning about what it can do.
									Learning that sharecropping can not be understood as the way it does
										Its not sustainable
											its notThe
												These companies are questioned
				3. Corporate goods produced as a by product of public goods.
					Are corporate goods going to be produced only as byproducts of private goods?
						There is a good from what I want
							Is there also a good from what I ought to do
								Not just what I want, but also what I ought to do
									Good not just from choice
										Good also from coercion
											Coersion?
										Not state based coercion
											The possible public goods that come from architecture based coercion
												Code based constraints
											Getting us to do the things we need to do
				4. 	New v2
					focus on a specific problem.
						Once upon a time.
							Lester-land
								Politicans: Lester election and general election
									Lesters are the only one that vote
										Citizens and vote
											To be allow to run in the general election
												You must do well in the Lester election
								What can we say about congress?
									Supreme courts of the united States
										The people have ultimate influence over general elections
										They only have their say after they have their say in the gnereal elections.
											To keep the pesters happy
								Any reform that angers the pesters in lester land is highly unlikely
					$$$ Election
						Funders vote
							To run in general election you need to do extremely well
					There are just as few relevant funders in the united states
						As there are pesters
						.3% of america gave more than 200$ to election
						.05 gave maximum amount
						.01% gave 10,000 or more
						.0003, gave 100,000 or more
						.000042 (132 americans) gave more than 60% of the super pac amount
						The relevant amount of americans is .05
							The funders are our Lesters

								The funders vote
									dependence upon the funders produces an subtle bending to keep these funders happy
									Members of congress spend 30-70% of time raising money to get their party back in power
										They develop a sixth sense to raise money
											Shape shifters to raise money
												Westly
							Always lean to the green					"He was not an environmentalist		Reform that would anger the funders is highly unlikely		United states is worse than Lesterland

	Its at least possible for pesters to be helpful
		The pesters act for the pesters
			Shifting coalition that drives the .05%
				Lesters are the decision makers
				iLesters are not drivers in public interest
			In our land
				Conflicting dependence on funders and pepolpl
					This is corruption
						This is not corruption
							rob legoivitch
					This is not illegal activity
						All is completely legal
							Instead: Legal corruption
								Corruption relative to the baseline
									A republic: representative democracy
							Feberalist 52
						A brand h of government dependent on the people alone
					The people: Problem
						Congress has evolved a different dependance
							Dependance on the funders too
								A dependance TOO
						Its legally not the problem as long as the funders are the people too
					Amsericans are right to believe
						Americans believe money buys votes in congress
							75% of maericans believe money buys votes
						81% in republications
						71 in democreates
					Americans believe
						That believe erodes trust
							9% of americans believe in congress
						At the time of the american revolution
							a higher percentage believed in the royal crowd
				Rock the vote
					highest