8:30 – 4:30 BRI

• Submitted expenses
• Working on clustering reports / Hyper with Aaron?
• Lurked in the sprint review
• Working on a full dataframe compare. Stopped. Maybe later?
  • Find the intersection of rows (record percent difference)
  • Find the intersection of columns (record percent difference0
  • create the intersection dataframe with zeros
  • iterate over the two source DFs and place the similarity (min(a,b)/max(a,b), where max != zero)
• Sprint review
• Moving over to the CCRi team? Working on CCRi’s GeoMesa with Gerard?
  • Hilbert Space-Filling Curves
  • Watched an overall presentation from FOSS.
• Stability comparison of dimensionality reduction techniques attending to data and parameter variations
• BRI sprint planning

Research

• Travel from HCIC 2017
• Continued to read Conflict and Consensus
• Continued to work on P&R Considered Harmful

HCIC 2017

• Thought for the day – board games to explain paper production (Journal and conference) and proposal writing
  • John Walton (Board games, etc) Elizabeth Swenson (Application Crunch)
    • Joe Dumit – Science studies Fracking simulation board games
• John Tang, Gina Venolia and Kori Inkpen, Microsoft
  • Breaking the Future of Social Media
  • Discussant: Dan Russell
  • Multi stream clusters – how do we view? (Scoop)
  • Interactions among the streamers and between the streamers and the viewers. Also, how does the design scale? Twitch doesn’t scale, BTW – you can’t keep up
  • Likes as a percentage of viewers upvoting affects who sees what Paper at CHI
  • Can be hard to stream under particular circumstances. High crowds, degrated conditions, etc. Leads to short viewing due to frustration
  • SXSW covered with multiple parallel streams
    • Note – stabilized shoulder mount for a streamer with extra batteries? Better mic? Camera?
  • If there is a crash, the preview allows an overview and lets people continue an interrupted stream.
  • Many short glances, most of the time is in long watches/views. Browse/browse/browse/stay
  • Interaction engagement – all deliberate. Lurking is the absence of action, but there is a surprisingly low percentage of that.
  • Sweet spot is high flexibility environments like trade shows, where the remote audience can interact.
  • How do you get effects at at sale with a prototype
    • Recruit crowds from Turk – reflects incentives. Can test usability and engagement at a higher level of interaction, which exercises the platform more
    • Corporate Volunteers – viewed by interest. very linear. More interested in the talks, rather than the wandering.
    • Unknown – power law. many short, few long (and much higher lurking)
  • Breaking existing commercial boundaries to enable the future
    • Many semi-overlapping ecosystems. How to standardize? Standards didn’t work. incentivised to lock-in
    • Maybe a standard for subsets of data to support a commons? Universities may be a good place to take the lead on this?
    • How to unify?
• Dan Russell discussant
  • We already have a lot of streaming cameras
  • 911 Truthers based on self-selected partial information.
  • Can’t reverse engineer context
  • Reverse effects cause and effect can get confused
  • Google moderator wound up requiring an intermediary to select the questions
  • Only studies with real money matter
  • Is the MCR mechanism of handling multiple feeds the way to handle social media? Possible for ABC to buy feeds from Fox?
• Questions
  • Sharing PII is also a problem. Not only costs but risks
  • Is the value in the liveness, or in the history? Attention value is value.
  • Value is transparency? Authenticness? David Brin, the transparent society Trustworthiness of the messenger, rather than the anonymous streamer?
  • Social information proximity vs IR gatekeeping?
  • We’re having trouble differentiating between perspectives? There are different small groups that don’t relate to a giant company. A small group may be important.
  • Events of civic interest vs. novel and entertaining live streams
  • Gare Steinberg’s incredible sad true love story
  • There is a difference between a trained, effective producer? What about predators choosing prey from a flock? What does an effective liver performer do?
  • Becoming a temporary media company that produces a curated stream. An improvisational theatre company
  • Tweak the Tweet Palen & Starbird
  • It is very interesting to watch representatives of Google and MSFT discuss research as startups, where acquisition is the large scale corporate research model.
• Short talk and working session: Charlotte Lee 
  • HCDE Comics – Reflecting on Living in the Present and Designing for the Future
  • Philip Agre – Critical Technical Practice
  • Check out the memex as inspiration for the Research Browser
  • You can draw in pencil all day long at a coffee shop, but when you start inking people will stop and notice.
• See if ASRC could support HCIC. What’s he cost/value proposition. What does it mean to be part of the consortium?
• Reworking Design as Critical Fabulations – Daniela Rosner
  • Building core memory as quilts
  • Core rope memory
  • “Valorization of individuals has to recede” in collaborative processes.
  • To believe what is physically impossible might be possible in a different way
• Discussant – Stacy
  • It’s a book chapter! In what book?
  • Design shift from individualism (includes small teams) to collective
  • Situated, and contextual
  • Not having a solution and moving on, but creating a process.
  • Who gets to tell the stories
  • There is a reviewer 2 meme. I did not know that.
  • Interviews are fabulating?
  • Grounded theory is a way of academically acknowledging and defining path dependency.
  • corememoryshield.com/report.html
  • Creating different physical instantiations that provide different audiences.
  • Inquire into your method’s history. What are the ways of knowing, and Who is knowing?
  • Who are the actual people doing the tasks, and what are the behind-the scenes work to create the product (Read papers by Lilly Irani. Such command of the language!)
  • Identifying devalued labor. How. And what does it mean to track and understand than that. There is a difference between the dialogic practice of group work and the business model of an industry that maximises profit through celebrity creation.
  • There is a difference between a performer and a creator of the source material for that performance.
• Michael Muller and Q. Vera Liao, IBM
  • Exploring AI Ethics and Values through Participatory Design Fictions
  • The developers of robots believe that they represent the user. THis may be true in that there are no customers yet. Except for LAWS systems?
  • Value Sensitive Design (chlorine water treatment and chlorine gas)
    • Theoretical
    • Contextual
    • Ethnographic
  • We do not have an agreed-upon list of values.
  • Value sensitive inquiry instead? Descriptive ethics. Not at normative ethics yet
  • How do you speak your values about something that you don’t yet have?
  • Using design fictions
  • Problems with current popular fictions (Books – personal view, and media – complex interweavings of corporate interests)
  • Ponder a spectrum from utopia to dystopia and timeframes
  • Exercise that was confusing and too fast. But generally on story completion
  • Slideshare.net slides
• Discussant: Kristin Eschenfelder
  • Would you kill the fat robot?
  • An echo chamber (like Nazi-ism) might be indicated by the alignment of philosophies around a desired outcome. Because there is no external validity?
  • Moral Machine MIT Media Lab
  • There is a difference in commercial ethics and philosophical ethics.

HCIC 2017

• What if Robots designed your next homes (Maya  Cakmak)
  • PR2 robot
  • Homes are designed for people, home tasks are performed for people
  • Are homes of the rich different from the homes of the lower classes?
  • Affordances for robots. Actually means that the home is becoming part of the robot. Like an automated factory. Structure that is needed for robots
  • Hotels and warehouses are intermediate, semi-structured environments that afford robots better
  • What about home gantry robots? With it’s own storage for non=-human tools?
• Technology- centered design – Amanda Lazar
  • Solutionism – Solves problems before they exist
  • The MAYA principle – Most Advanced yet Acceptable
  • What happens when the technology is explicitly at the center of the design process? Making this explicit opens up some opportunities. Variant of the flying shiny logos problem (Overton window)
  • How things affect you, your family, and people you know in that order
• Daniel Russel. Unintended consequences. Ramps are one thing, people and cats and dogs are another
• Lana – what about the schedule of change. Like wiring up houses for networks and then wifi comes along
• National Robotics Initiative
• Should robots be designed around current accessibility standards. THen robots can grow out of their disabilities over time?
• Are we too tied to practices now? Washing machines lead to clothing that survive the washing machines. Ecosystems. What are all the dependencies that need to simultaneously shift?
• What about friction? And how we deal with slaves?
• Futures Beyond Design Panel (Brent Hecht, Lilly Irani, Silvia Lindtner, Scott Mainwaring)
  • Brent – Design as an optimization process
    • But externalities! How do we internalize these ideas so that unintended consequences are minimized
    • The great decoupling – computers displace workers
    • Importance of data sets (google’s powers of search are heavily dependent on Wikipedia user sourced data
    • Designing technologies for a world where data creators are compensated in a meaningful way
      • It would be neat if the research browser could do this. Maybe show a ticker that shows a ticker with ‘you would have made $xx’
  • Scott
    • How technological infrastructures are produced?
    • Three-ring-binder project in Maine. Fiber to rural areas. But how does this affect the users? Who are the users and how do we know them? Many misconceptions. Culture can change rapidly but what’s the difference between minority rights, women’s rights and LGBT rights?
  • Sylvia Lindtner
    • Making Cruel Machine Dreams
    • The maker movement (Is this human value add?) References Clay Shirky’s Here Comes Everybody
    • The means of production need to be placed back in the hands of the proletariat?
    • Precarious work as opposed to techno utopianism? Who profits? The 3D printer manufacturers
    • Shenzhen is really a policy experiment. Which concentrated the means of production
  • Lilly
    • When impact requires more than design. The case for crowds.
    • Turkopticon – Turkers reviewing employers in the system.
    • Turker organization – Turker Nation, CloudMeBaby, etc
    • Dynamo: Safe space for turk worker activism (forum with upvoting) – but for precarious labor in general
    • Need to support the understanding of labor laws and have a legal understanding
    • Platform Cooperativism
  • John Zimmerman – Carnage Mellon
    • Won’t the ‘computers will take our jobs’ problem fix itself?
    • Shouldn’t stop us from thinking about how to minimize disruption and pain
    • Lilly – Culture matters in how these technologies are integrated
  • What is an example of a project that embodies these ides
    • Sylvia – civilla
    • Scott – HatchTheFuture.org Facebook’s communities of action??
    • Brent – Machine Learning can be tuned to populations so that it does not have disparate impacts. A chrome plugin that supports selective boycotts.
    • Lilly. Platform Cooperativism. Stockse is a photo collective made by ex Getty people. But what does participatory management look like when there are 10,000 members?
  • How do we do this? How do we engage as academics?
    • Lilly: Who represents the crowdsourcing workers?
    • Brent: Personas vs. Sociatals?
    • How to communicate complex political and social ideas in a easily consumed way

HCIC 2017

• Carl DiSalvo – Alternate Histories of Design Futures
  • What else might design be – different interpretations of the world
  • Speculation (Speculative Design?)
  • Design as critique to critiquing design
  • Designers domesticate technologies
  • Speculative design is to trigger thoughts, not to become a product per-se. THis is about nudging in a direction. It’s more like art harnessed to thinking about interaction
  • Fantastic futures, extraordinary objects intended to be provocative
  • Archigram 
  • Global Tools.
  • 21st Century Speculative Design MOMA curates and legitimates Speculative Design
  • Design and Violence
  • Core77
  • From representation to events
  • Vernacular Futures -> cheap futures. Cheap stuff that we buy. Fidget spinners???
  • Speculative Enactments (SIGCHI paper)
  • prefiguration
  • Mundane work of performing on the world (Signage)
  • Implications for design
    • How can computation become integral to our design and experiences (Bill Gaver – Your Data Catcher)
    • Turkopticon
• Katherine Isbister – Reflections on Carl’s presentation
  • Interdependent wearables
  • Magic circle of play (new games movement, whole earth catalog, etc)
  • Global Game Jam
  • Feynman diagrams spreading through interpersonal transmission. In other words, they do not get used unless someone shows you. The difference from personal contact vs reading.
• Legitimate peripheral participation
• Brave New Alps
• Prefiguration in Contemporary Activism
• Analog game movement – write rulesets that reflect the vision of the architect. No, that didn’t work. Then creating the experience locally. Now a co-creation process that’s half product/half event? Practice being transmitted through objects. De-centering the designer, recentering the practice.
  • Douglas Wilson (Folk Games) No Autour.
• Repair maintenance vs event. Events become objectified and bounded. It can be treated as a product.
• Star Trek & CMC (Lana Yarosh)
  • Technology constraints and technologies
• Discussion as speculative fiction Wendy Kellogg – Microsoft Research
  • Apologetics
  • Research through design
  • Artifacts embody myriad choices that can’t be captured in a written document
  • Generalizing through juxtaposition? Dourish 2014 – LSI is a theory of meaning

7:00 – 8:00 Research

• Thinking that I need address Starbird’s idea of false triangulation in the context of belief space. I think there is something akin to a strange attractor for certain topics, particularly around fear and authoritarianism.
• Found some good stuff on path dependency breaking, particularly this dissertation, which includes a simulator: Path dependence in two-sided markets
• Ebook manager for handling things like pdfs? Caliber

8:30 – 4:00 Research

• Got the last run. What a mess:  what’s going on? Need to look more in depth at the source data. That’s going to require more code, so I’m going to write the report on what I’ve got now.
• Writing report. Done.

Research 6:45 – 7:45

• Thinking that the emergent agent properties might map to political theories. This is the best overview I’ve found: Political Theory/Ideologies of Government
• From Mindless Masses to Small Groups: Conceptualizing Collective Behavior in Crowd Modeling
• Self-organizing pedestrian movement
• Continuing writing. Getting close to a full outline

BRI 8:30 – 3:30

• Working on reading in files, then running permutations on cluster membership
• Because I can never remember how ass-backwards pandas.Dataframes are:

  def initDictSeries(rows = 3, cols = 5, offset=1, prefix ="doc_"):
      dict = {}
      row_names = []
      for j in range(cols):
          row_names.append("row_{0}".format(j))
      for i in range(rows):
          name = prefix+'{0}'.format(i)
          array = []
          for j in range(cols):
              array.append ((i+offset)*10 + j)
          #dict[name] = tf.Variable(np.random.rand(cols), tf.float32)
          dict[name] = array
      return pd.DataFrame(dict, index=row_names)
  
  df = initDictSeries()
  print("df = \n{0}".format(df))
  s = df.loc['row_1']
  print("\ns = df.loc['row_1'] = \n{0}".format(s))
  s['doc_1'] = 99
  print("modified = \n{0}".format(df))

• Yay! It looks like it’s working. Next step is to run it. Done. This is the compare of the two runs on the older data as it sits on the servers: 
• Here’s the same runs locally, using t-sne. This is more like what I was expecting to see: 
• Here’s the old vs. new (Left this cooking. These charts take forever to calculate) 

6:45 – 7:45

• Got the travel info from HCIC. Looks like they got tickets just for the conference, and I don’t have the energy to try to get that fixed. I’ll just bring my running shoes.
• Multiple movement modes by large herbivores at multiple spatiotemporal scales
  • Interestingly, the rate of movement by individuals depended strongly on the amount of time they spent in groups, with highly gregarious individuals being much more sedentary than more solitary individuals (19). Far-roaming, solitary individuals had a higher risk of mortality than did more sedentary, gregarious individuals (19). Hence, sociality triggered changes in movement modes that had important demographic consequences.
• Socially informed random walks: incorporating group dynamics into models of population spread and growth (Ref 19 from above)
• Behavioral Change Point Analysis
  • in Python (and a bridge to [R])
  • Change-Point Analysis: A Powerful New Tool For Detecting Changes
    • Change-point analysis is a powerful new tool for determining whether a change has taken place. It is capable of detecting subtle changes missed by control charts. Further, it better characterizes the changes detected by providing confidence levels and confidence intervals. When collecting online data, a change-point analysis is not a replacement for control charting. But, because a change-point analysis can provide further information, the two methods can be used in a complementary fashion. When analyzing historical data, especially when dealing with large data sets, change-point analysis is preferable to control charting. A change-point analysis is more powerful, better characterizes the changes, controls the overall error rate, is robust to outliers, is more flexible and is simpler to use. This article describes how to perform a change-point analysis and demonstrates its capabilities through a number of examples.
• The Similarity Metric
  • We propose a new “normalized information distance”, based on the noncomputable notion of Kolmogorov complexity, and show that it is in this class and it minorizes every computable distance in the class (that is, it is universal in that it discovers all computable similarities). We demonstrate that it is a metric and call it the similarity metric. This theory forms the foundation for a new practical tool.

9:00 – 5:00 BRI

• Got FoxyProxy working and downloaded the data. The clustering seems non-optimal. Rerunning locally to see what’s going on
• Need to write an adaptor to build a common excel files from subsequent clustering runs
• Need to get the previous run. Got the input and output files for both. They are the same length, which is odd. Pinging Heath. These are both older data, clustered differently. What I’ve pulled is the newest data.
• Meeting on remote dev environments. Lots of security discussions. My main concerns are on usability WRT bandwidth and network quality.
• Dug up the CSE billing info and updated the credit cards
• Adding method in membership_history_builder.py that will organize multiple cluster files into a single dataframe.
  • Built the set containing the common elements
  • Need to build  Dataframe of the correct dimensions and populate it
  • Need to run the membership code over that and plot the results

7:00 – 8:00 Research

• Starting to outline the next paper (Precision and Recall Considered Harmful?)
• Replied to Ece K. and David B.
• Work Features to Support Stigmergic Coordination in Distributed Teams

8:30 – 4:30 BRI

• Didn’t think to download the NVIDIA libs while at home, so doing that now
• Tensorflow now requires 64 bit Python and I had 32 bit. Reinstalling
  • Using these directions
  • And downloading all the prebuilt whl files…
  • And don’t install the 6.0 CUDA DNN! Use 5.1!!! (DLL not found errors)
  • GPU version installed!
• Setting up access to the AWS instance. Connecting!
• Having trouble with Firefox… Rebooted
• Installed the FoxyProxy plugin but am unable to get it to read new config file. Asked Matt for assistance. He’s going to send me his config file.

7:00 – 8:00 Research

• Nice trip back from the conference. I think my take home messages are:
  • What I’m working on is non-obvious
  • Agent-based simulation is becoming a norm in this field
  • Creating a useful knowledge map makes sense to everyone(?) working in the field
  • The concept of explore, flock, and stampede have good resonance
  • Gate-keeping in agent design/distribution and information retrieval are SERIOUS problems
• Brought in the code that I wrote on the laptop. Compiles and runs nicely
• Creating a poster (24×36) version of the PosterPage. Also creating a dual-sided handout. Done, and sent out for printing.
• Ordered a poster tube with strap

8:30 – 3:30 BRC

• Expense Report. Done. Maybe? The app doesn’t take street address without barfing. May have to go back in and re-edit? Or is that only for mileage?
• Continue to work on setting up Linux Python/Tensorflow env
• Got IntelliJ up, but had to point at the ‘Development’ files for windows due to the crippling download rates.
• Apparently we have new data on CI. Recluster?
• Then I let Windows update and everything stopped. Went home to continue
• Installing python
• Installing Java
• Installing xampp

Misc

• Register van – done!

5:30 – 6:30 BRI

• Catching up on email, etc.

Research

• Implementing LETHAL and RESPAWN options
• Poster presentation! See if I can get a space near a table/outlet
• Talks
  • You can’t design until you know what you’re designing for. What is the utility function. Using reinforcement learning
  • Diversity of Preference Can Increase Collective Welfare in Sequential Exploration Problems Pantelis Pipergias
  • Emergence of Collective Intelligence in Human Groups – Giuseppe Carbone
• Ece Kamar Humans to the rescue
  • Troubleshooting of ML systems
  • What happens when systems are functioning in the wild
  • Biases in ML – minority representations of well, minorities (blind spots – unknown unknown)
  • Beat the machine Attenberg 2011
  • Multi-armed bandit – exploration – but how? What is the source to explore
  • Hard to debug. What about AI making models that are understandable and effective. E.g. build low-variable systems using GP
• Nick Ouellette – Validating Models of Collective Behavior
  • Flocks and swarms
    • Movement + interaction rules+interaction range -> group structure function
    • Vivsek et. al. PRL (1995) alignment only
    • How to benchmark. What is a good/bad model
  • ‘web.stanford.edu/~nto
• Creating Collective Intelligence – Dan Weld (Relevant to curating and BRI)
  • Provisioning mixed computer – human teams
  • Objective -> initial workflow -> improve, repeat (Self-optimizing workflow)
  • Sliders as a way of understanding the sers, then a place to clarify. IMPORTANT. Then cluster on the confusions, and update the query/ Sample from the confusion results to test improvement.
  • Gold questions (flags) that are known. What percentage get inserted for optimal user response
  • Partially Observable Makkov decision process (Belief state as input)/ Build a policy that provides the optimal result
  • Explore/Exploit strategy since partial information
  • MicroTalk Test Task <- serendipity injection
  • Select for discerning worker Flesch-Kincaid model?. Need to look into that.
  • Conclusions
    • Tools for creating collective intelligence
    • Self-Optimizing Workflows
    • Getting workers to argue
• Chris Welty – Google – moderator for session 4
• Andres Abeliuk – Controlling Collective Behavior through Position Bias
  • display policies affect what customers choose
  • Youtube, spotify, etc use ratings/reviews, PageRank, etc form feedback loops
  • How do we mitigate these biases
  • Salgannik MusicLab Science (2006?) runaway feedback loops to first user advantage
  • This study ranks by listens/downloads. Does this affect the result. Four ranking policies, and yesy/no social signals
  • Random ordering with no social signal seems to provide most consistent ranking with least inequality
• Brent Hecht: The Role of Human Geography in Collective Intelligence
  • Physical Geography
  • Spatial Computing
  • Human Geography
    • Spatial homophily – we live and spend time near people like us. Impossible to overstate
      • Worker location
      • Location of the work
      • Distance between these two
      • If a bank account is required, for example, you will have spatial bias. Pokemon Go was influenced by a biased crowdsourced dataset
      • Interaction decreases with distance
      • Structured variation population density
      • Highest in urban cores lower in suburbs, lowest in rural.
      • Johnson Et al SIGCHI 2016
      • Mental maps, region theory
• Hila Lifshitz-Assaf Delineating Role Behaviors in Wikipedia
  • Emergent roles determined by clusters of activity
    • Temporal distance is as influential as geographic distance
    • Watching what people do over time – how much chaos, how much order
    • Need to dig up these papers
    • Why did you choose the motivation axis?
• Mehdi Moussaid – The Propagation of accurate judgements in Experimental Transmission Chains
  • Judgement propagation – well known
  • Behavioral processes affect the level of influence – poorly known
  • Experiment is sequential, but each person is exposed to the judgement of the prior results.
  • Visual perception task, where the user determines the overall direction of a cluster of dots
  • First person has an easy task – clear movement, but the others have a noisier version of the task, but the same answer
  • Propagation slows down with social distance and falls to zero around 3
• Yue Han – Collective exploration: Remixing with human-based search Algorithms
  • This is mapping. Not sure how the semantic spoace is mapped WRT what. Amd what i you run it in reverse?
• Kennith Huang – Real Time On-Demand Crowd powered entity extraction
  •  Output agreement mechanism – agreement gets reward.
• John Harlow – Proactively Identifying and Correcting for Social Biases in Datasets Proliferating into Civic Technology
  • Identify biases of the past algorithmically and initiate corrections
  • Being digitally invisible
  • How people in a place understand the world around them?
• Yun Huang – BandCaption: Crowdsourcing  Video Caption Corrections
• John Prpic – Unpacking Blockchain
• The poster went well!
• Kate Starbird Online rumouring
  • Overlapping narratives and websites supporting alternative narratives
  • Shooting related search terms for 9 months of twitter
  • Gun takeaway agenda.
  • False Triangulation – same information distributed across different sources
  • Is there some sort of evolution of low dimension attractors?
• Gamification became co opted by efficiency and lost its game-like option Efficiency destroys diversity.

The Russian “Firehose of Falsehood” Propaganda Model Why It Might Work and Options to Counter It

• Is there a difference between ‘diversity’, ‘noise’, and disinformation/alt narratives. I think there is some kind of monitoring the ‘native population’ and then figuring ways to amplify? What is the adversary signaling
• Can you build a high-engagement game that will attract those in the alt-narratives an expands their perspective? Deliberation that is not tied directly to the outcome
• The alt-narrative ecosystem is not about signalling capability. It’s about signalling reach. And through the reach to powerful players, instigating uncertainty and disruption..

5:30 – 6:30 BRI

• Catching up on email, etc.

8:00 – Research

• Patching IntelliJ
• enabling ‘no borders’ option
• Collective Intelligence 2017 Notes
• Geoff Mulligan
  • Copernicus EU project
  • AIME – Disease outbreak prediction
  • MetaSUB
  • English cancer xxx xxx?
  • ORID (Taiwan) Uses slideshare, discourse, pol.is, livehouse.in
  • Economics has been hopeless WRT developing models that pay for such collective intelligence assemblies
  • The enemies of collective intelligence
  • The economics of algorithmic decision making and human decisions queresha
  • Rare disease patients are driving this technology because of the need and low funds
  • Icelandic collective intelligence Iceland democracy is a good example?
  • Link into action and feedback is a problem common across many of these projects
• Tom Kalil
  • Prize – driven development
  • Prediction markets for technology forecasting
  • Philanthropy: Nimble, Prizes over grants and contracts. People who know how to build an effective prize
  • Bullet points as a way of driving through change. Magic laptop experiment. Any press release you write will come true. Look up. (Is this gamification?)
    • Provides Agency
    • Value of concreteness
    • Articulate who needs to do what
    • Has to be at least plausible (the entities could be expected to do these things)
  • Tony Bright(?) Networking of improvement communities.
  • R&D and pilots.
  • User-driven innovation (contributing to economies)
  • Funds to focus on access and participation
• Dana Lewit
  • Artificial intelligence is everywhere – stop waiting
  • DIY artificial pancrias
  • Inability to sway manufacturers
  • Twitter as a source of technical fixes? How?
  • Gateway technology – Rasbery PI is very cheap, good community makes it easy to work with
  • #OpenAPS maker movement for DIY medical devices
  • Thousands of hours of development
  • What about the risk/reward of sharing data – targeting ads at low blood sugar
• Darlene Cavalier
  • Citizen Science Projects
  • TPBS – The Crowd in the Cloud
  • 1500 projects (What about power law issues and bias from the main contributors?)
  • Charismatic vs. invisible science needs?
  • Facilitator – make the process attractive for users
  • Scistarter Solutions Lab
  • ECAST Citizen science ecastnetwork.org
• The field of ‘Frugal Science’ (low cost tools) Tool making science?
• Jordan Barelow
  • CA State Fullerton
  • Woolley et. al. 2010 – no correlation or small between individual and group intelligence
  • What happens at the limit? Minimum threshold, max ceiling?
  • Performance on one task may not correlate with performance on another task. Why? What is it about highly structured tools?
  • Production work being individual – what about pair programming?
• Carsten Bergen-Holtz – Ikea effect agent-based simulation
  • Ikea effect – we tend to overvalue our sulutions
  • Efficient vs. inefficient networks efficient – all information is seen (is this bad?)
• Then the batteries died
• Mark Ackerman
  • New architecture for crowdsourcing knowledge
  • 8chan’s /pol/community -> kicked off 4chan for being too extreme
  • Beginnings of PizzaGate/Podesta/etc
  • Dog-whistle memes
  • Every post is anonymous
  • Outraged that something bad is happening to america. Sense of rage. Conspiracy thinking
  • Deliberate gaming of the Facebook algorithms and media sources.
  • Click based advertising is heavily selected for
  • Overton Window
• Some Assembly Required: Organizing in the 20th Century
  • Noshir Contractor
  • Match.com for teams
• Noshir Contractor
  • too much too fast. Team building, but needs some disentangling, I think
• Hila Lifshitz–Assaf
  • Is innovation different at different scales and platforms
  • Best R&D practice fail with ‘makeathons’????

Research

• Got turned down for CSCW
• On my way to CI 2017. Arrived! Spent a lovely afternoon/evening wandering around lower Manhattan. It’s noting like I remember. Traffic is light except at the tunnels. Almost no honking. A driver stopped for me as I crossed the street! Very little graffiti. I kinda feel like a time traveller.

Jaron Lanier on NPR todayNPR

7:30 – 2:00 – BRI

• Continuing to set up machine
• Here’s how to start under linux: jetbrains.com/help/idea/installing-and-launching
• Got Symless Synergy. Here are the hidden setup instructions

2:30 – 4:00 Research

• Picking up poster. More running around than I thought. Commonvision will not take credit or cash, only UMBC card. Had to get that charged up.

8:30 – 5:30 BRI

• Back from vacation, in a 2 -day slot before travelling up to NYC for CI 2017. Still need to get the poster printed. Contact commonvision at 10:00 for schedule and pricing
• From the UTOPIAN team: PIVE: Per-Iteration Visualization Environment for Real-time Interactions with Dimension Reduction and Clustering. One of these days, when we get back to human-in-the-loop curration and analysis, this will be really relevant.
• Teleconf with Ellen K about the issues we’ve had. My visit in early July
• Loading up the Windows side of the Alienware. Takes a while. Done!