6:30 – 5:00 ASRC MKT

• Stochastic Modeling And Analytics In Healthcare Delivery Systems: This book focuses on the research and best practices in healthcare engineering and technology assessment. With contributions from researchers in the fields of healthcare system stochastic modeling, simulation, optimization and management
• I just realized that the Research Browser is Augmented Data Discovery, and is about to 2-3 years out from peak hype. Something to think about while writing proposals and pitching to management. 
• Starting to look through Risk Taking to see if I can find scenarios
  • Add fields for user
    • Age – done
    • Gender – done
    • Game name (change by game so that a small number of players don’t recognize each other easily over repeated games
  • Something to think about is whether one scenario would be to create a scenario which is then used in the game.
  • Found it! Appendix E! Aaaaaaaaaaaand Adobe Acrobat is busted so I can’t scan it. Reinstalling. And it’s better, but still busted. Scanned in Photoshop, which works just fine
• Tweaking CorpusManger so that the TF-IDF output has counts rather than the floating point value to see if that produces better results in search. This is from the serendipity corpus:
  • TF-IDF raw: information serendipity system encounter discovery serendipitous visualization 
  • TF-IDF normalized: information encounter serendipity system datum discovery serendipitous
  • BOW raw: information serendipity system encounter serendipitous discovery result
  • BOW normalized: visualization computer information search system serendipity encounter
  • That works much better with the wordrank algorithm. Keeping it.
• Fika, talked a little about CM and LMN. Wajanat and Julie are interested. Maybe as a way of quantitatively ranking the centrality of concepts and people in a qualitative study.

orco Mutagenesis Causes Loss of Antennal Lobe Glomeruli and Impaired Social Behavior in Ants

• An example of how group behavior patterns reveal a mediated communication problem – Life inside ant colonies is orchestrated with diverse pheromones, but it is not clear how ants perceive these social signals. It has been proposed that pheromone perception in ants evolved via expansions in the numbers of odorant receptors (ORs) and antennal lobe glomeruli. Here, we generate the first mutant lines in the clonal raider ant, Ooceraea biroi, by disrupting orco, a gene required for the function of all ORs. We find that orco mutants exhibit severe deficiencies in social behavior and fitness, suggesting they are unable to perceive pheromones. Surprisingly, unlike in Drosophila melanogaster, orco mutant ants also lack most of the ∼500 antennal lobe glomeruli found in wild-type ants. These results illustrate that ORs are essential for ant social organization and raise the possibility that, similar to mammals, receptor function is required for the development and/or maintenance of the highly complex olfactory processing areas in the ant brain
• 
• Some random thoughts while riding.
  • The difference between a ‘large group’ and a ‘small group’ is the threshold at which multiple incremental interactions can happen between all members.
    • A group that has a fully connected trust network is fundamentally different from a group that doesn’t. A ‘large group’ requires transitive trust.
      • From HBR: It’s not just biases inside our heads that skew our judgment. We often rely on trusted third parties to verify the character or reliability of other people. These third parties, in effect, help us “roll over” our positive expectations from one known and trusted party to another who is less known and trusted. In such situations, trust becomes, quite literally, transitive. Unfortunately, as the Bernie Madoff case illustrates, transitive trust can lull people into a false sense of security. The evidence suggests that Madoff was a master at cultivating and exploiting social connections. One of his hunting grounds was the Orthodox Jewish community, a tight-knit social group.
    • This can be affected by communications technology in many ways, which the above study points to.
    • Again, the relationship between awareness and trust becomes an issue.

7:15 – 8:15, 1:00 – 4:00 ASRC MKT 9:00 – 1:00 IRAD

• IRAD – Finished with the CSEs and documented everything
• The Credibility Indicators Working Group
• Social Networks Journal
• Found out about the IEEE Vis conference, which consists of VAST, INFOVIS, and SCIVIS. There were a slew of mapping related papers that I found for phase 2 of the PolarizationGame study:
  • A Visual Analytics Framework for Identifying Topic Drivers in Media Events
  • ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding [VIS17 Preview] with Jaegul Choo (UTOPIAN) and Nicholas Diakopoulos (Ex UMD)
  • Narrative Visualization: Telling Stories with Data
  • PhenoLines: Phenotype Comparison Visualizations for Disease Subtyping via Topic Models
  • SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance
  • Visual Exploration of Semantic Relationships in Neural Word Embeddings
  • Visualizing Nonlinear Narratives with Story Curves [YouTube]
• Running these through the LMN tool and normalizing docs produces visualization narrative story visual topic analysis concept. Running that through Scholar turns up  
  • A Comparison between Concept Maps, Mind Maps, Conceptual Diagrams, and Visual Metaphors as Complementary Tools for Knowledge Construction and Sharing
• Working on PolarizationGameOne schemas
  •  
  • Remembered how to do mysql views:

    Create or replace view message_view AS
    SELECT u.login, s.title, cm.message, cm.thread_parent
      FROM table_chat_message cm
      INNER JOIN table_users u ON cm.owner_id=u.id
      INNER JOIN table_game g ON cm.game_id=g.id
      INNER JOIN table_scenarios s ON g.scenario_id=s.id;

  • Next steps are to write some PHP code to read and write to the appropriate tables, then start to work out an interface

ASRC MKT 7:00 – 8:30, 2:30 – 3:00, IRAD 8:30 – 2:30

• Reconfiguring the CSEs
  • ScholarlyArticle – uses the ScholarlyArticle schema
  • MOBY_DICK – points to https://americanliterature.com/author/herman-melville/book/moby-dick-or-the-whale/*
  • A2P_ONLY_ORG
  • A2P_ONLY_US
  • A2P_ONLY_NET
  • A2P_ONLY_GOV
  • A2P_ONLY_EDU
  • A2P_ONLY_COM
• Google Knowledge Graph Search: developers.google.com/knowledge-graph
• Research-browser-ish: https://rivium.io/
• Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow (pdf)
• Fixed the populations figure for the CHIIR DC and the CHIIR paper
• Refitting the proposal to the following spec:
  • The proposal must be no longer than 3 pages and
    contain the following contents:
    • Title of research proposal, Name of student, Stage of degree (e.g.,
      2nd year PhD), Affiliation, Name of supervisor(s)
    •  Abstract
    • Motivation
    • Research questions
    • (Planned or ongoing) Methodology
    • Progress made so far
    • Future plan
    • References
  • *Mentors*On our list of mentors are so far: Dr. Pia Borlund, Dr. Katriina Byström,
    Dr. Rob Capra, Dr. Luanne Freund, Dr. Diane Kelly, Dr. Heather O’Brien, Dr.
    Ian Ruthven, Dr. Max Wilson.
• From keyword search to exploration: Designing future search interfaces for the web Read! Max Wilson and Ben Shneiderman. Downloaded and (maybe?) sent to kindle

7:00 – 9:30, 5:00 – 7:00 ASRC MKT

• Writing up review. I also stumbled across a good book on Complex Systems in Finance and Economics that is tangentially related to the paper. They have a chart on page 764 that shows the development trajectories of the multiple threads in the related fields.
• Radiolab did a revisit to the trolley problem with respect to self-driving cars. In the end discussion, they state that the problem is a small edge condition. I think under normal conditions that’s true. Under catastrophic conditions like a post earthquake evacuation, every trip could be the trolley problem. With TaaS, who gets picked up first? who has priority on the road? Pinged Radiolab about that. Curious if they will respond.
• Good chat with Cindy. She found a bunch of stuff, including this part about moral dilemmas. We also started thinking about the chat game design. And we found her comments! Seems like WordPress isn’t alerting me when they get submitted.
• Nvivo for Mac

ASRC MKT 7:00 – 4:00

• Found this, noted it and forgot about it –  need to read: Constructing Semantically Scalable Cognitive Spaces
  • 
• kialo
  • Kialo is an easy to use, yet powerful tool to engage in thoughtful discussion, understand different points of view, and help with collaborative decision-making.With Kialo, you can take on issues big or small, build consensus on a topic, and explore every aspect of a discussion. Kialo allows you to be more thorough and thoughtful about the issues that matter most to you, and the world around you.

    Our Mission: Making the world more thoughtful.

  • Note that in the screenshots below that there is a sense of the core discussion from which viewpoints radiate. They don’t appear to be pole pairs though.
  • 
• This reminds me of Facilitating Diverse Political Engagement with the Living Voters Guide
  • 
• Reviewing JCSCW paper for Wayne. Done. Need to write up the review.
• Risk of Adverse Cognitive or Behavioral Conditions and Psychiatric Disorders
• Architecture discussion with Aaron (and Cindy?) 2:00 – 4:00.
  • Stray thought – could the game live on Facebook?
  • Instant Games Now Available on Messenger and Facebook News Feed
• Worked with Aaron on his presentation for a couple of hours.

7:00 – 9:00, 10:00 – 5:00 ASRC MKT

• Playing with getting LaTex to do the correct formatting without using the new template. Getting pretty far, and starting to think that maybe the way to do this is from scratch? Yeah, I know, this way leads to madness…
• What I should be doing is looking into the way to build the game and save the data. Should this be a browser plugin? A standalone web page? Where does the back end live?
• Possible platforms to use
  • Twillo (free to expensive, based on support): Documentation
  • Applozic (free to expensive, based on users): Documentation
  • Smooch (free to expensive, based on time??): Documentation
  • Messagebird (free to expensive, based on Monthly Active Users [MAU]): Documentation
• Studies that used created chatrooms and gamification.
  • Designing for reportability: sustainable gamification, public engagement, and promoting environmental debate
    • There is a growing emphasis in many countries on matters such as participation in e-government, e-democracy, the provision of forums for online debate, and so on. A critical issue in all of these cases is one of encouraging engagement across a broad spectrum of potentially interested parties and stakeholders. In this paper, we use an ethnographic study of an online event, designed to encourage debate, to explore some critical issues in how the mechanisms productive of debate have shifted in company with the Web 2.0 phenomenon. By contrasting this with a prior study of how players managed their gameplay in a multiplayer pervasive game, we focus upon how different ways of constructing games and events can have serious implications for their ordinary everyday reportability in routine face-to-face interactions. We conclude that designing for reportability should be an active consideration when designing the resources for online debate and consider some ways in which that might be accomplished.
  • Bicker Manor: a cross-media environmental campaign using missions
    • In this paper, we describe the design and implementation of a cross-media environmental campaign called Bicker Manor. We describe how the experience allowed players to participate using mobile phones by sending SMS and MMS messages, the web and interactive television. We describe how the experience used characters to playfully challenge players to complete missions with an environmental twist, before describing a generic, reusable mission framework and implementation with associated authoring and orchestration tools. Finally, we briefly describe the pilot of the experience and initial findings from an ongoing evaluation.
  • Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
    • As breaking news unfolds people increasingly rely on social media to stay abreast of the latest updates. The use of social media in such situations comes with the caveat that new information being released piecemeal may encourage rumours, many of which remain unverified long after their point of release. Little is known, however, about the dynamics of the life cycle of a social media rumour. In this paper we present a methodology that has enabled us to collect, identify and annotate a dataset of 330 rumour threads (4,842 tweets) associated with 9 newsworthy events. We analyse this dataset to understand how users spread, support, or deny rumours that are later proven true or false, by distinguishing two levels of status in a rumour life cycle i.e., before and after its veracity status is resolved. The identification of rumours associated with each event, as well as the tweet that resolved each rumour as true or false, was performed by journalist members of the research team who tracked the events in real time. Our study shows that rumours that are ultimately proven true tend to be resolved faster than those that turn out to be false. Whilst one can readily see users denying rumours once they have been debunked, users appear to be less capable of distinguishing true from false rumours when their veracity remains in question. In fact, we show that the prevalent tendency for users is to support every unverified rumour. We also analyse the role of different types of users, finding that highly reputable users such as news organisations endeavour to post well-grounded statements, which appear to be certain and accompanied by evidence. Nevertheless, these often prove to be unverified pieces of information that give rise to false rumours. Our study reinforces the need for developing robust machine learning techniques that can provide assistance in real time for assessing the veracity of rumours. The findings of our study provide useful insights for achieving this aim.
  • Sarah-Kristin Thiel has a lot of work in this area
    • Playing (with) Democracy: A Review of Gamified Participation Approaches
  • From game design elements to gamefulness: defining “gamification”
  • Gamification for Behavior Change: Lessons from Developing a Social, Multiuser, Web-Tablet Based Prevention Game for Youths
• I think this may be a book with scenarios in it: Risk taking: A study in cognition and personality. It comes up in the literature a lot. Ordered.
• Here’s one of the studies that uses the above: Correlates of Risky Decision-Making. It identifies a risk-taking personality type. Is this an explorer? Can this test be used on individuals and groups?

7:00 – 3:00 ASRC MKT

• Organized my thoughts on trust and awareness
• GMap: Drawing Graphs as Maps (also Visualizing Graphs and Clusters as Maps)
  • Yifan Hu – I am a member of the Yahoo Research (New York) working on data mining, machine learning and visualization. Before joining Yahoo I was a member of the Information Visualization department at AT&T Labs — Research, working on graph and text visualization, machine learning and numerical algorithms. From 2001 to 2007, I worked at Wolfram Research, developing numerical and graph theoritical software. Prior to April 2001, I worked in the Computational Science and Engineering Department at Daresbury Laboratory, conducting research in algorithms for high performance computing. For further chronological details, see here.
  • Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through dimensionality reduction techniques. However, these traditional methods often do not capture well the underlying structural information, clustering, and neighborhoods. In this paper, we describe GMap: a practical tool for visualizing relational data with geographic-like maps. We illustrate the effectiveness of this approach with examples from several domains All the maps referenced in this paper can be found in this http URL
• Need to take a look at these and see if there is disagreement on the location of physical objects, or it is the layering of conceptual objects such as borders on the map.
  • Why Amazonian forest peoples are ‘counter-mapping’ their ancestral lands
  • Whose woods are these? counter-mapping forest territories in Kalimantan, Indonesia
  • Cartography, territory, property: postcolonial reflections on indigenous counter-mapping in Nicaragua and Belize
• Finished the first pass at the CHI DC proposal!
• ACM has built an ENTIRELY new LaTex format for extended CHI abstracts that breaks when you look at it sideways (https://github.com/sigchi/Document-Formats). I have literally spent the last two-three hours trying to:
  1. make a single author (success!)
  2. get the abstract in (partial success?)
  3. get the figures to work
  4. bring in any other text
  5. get the bibliography to work. (At all. I mean, like adding a single citation breaks everything.)

Phil 7:00 – 5:00 ASRC MKT

• Register for MLconf
• Scrum!
• Write up GLOBE concept
• Does Twitter now set the news agenda? – Very valuable for mapping
  •  Indexing theory, in brief, states that the content of media reports reflects the degree to which elites – politicians and leaders in government in particular – are in agreement or disagreement. The greater the level of agreement or consensus among elites, the less news there is to report in terms of elite conflict. This is not to say that a consensus among elites is not newsworthy; indexing theory conveys how media reporting is a function of the multiple voices that exist when there is elite debate
  • From this paper: Politicians and the Policy Agenda: Does Use of Twitter by the U.S. Congress Direct New York Times Content?
• This is kind of what I was going to do when I started on my PhD studies. Funny how things change. Did get a poster out of it though.
• Sent Aaron a note that maybe there should be an ASRCresearch domain (.org?) or ASRCFederal.com/research. He’ll start floating that.
• Since I think that Trust is a social construct for groups to deal with complete information and that Awareness is a measure of the completeness of the information, I started to search for collective game theory trust. The main term that comes up is collective action.
• There is also a thing called decision space:
  • A Class of Solutions for Group Decision Problems Given a set of utility functions defined on a decision apace for a group of individuals, we introduce the concept of utopia point for the group o.a well o.a the group regret of a feasible decision. The group regret of a decision varies with a class of distance functions. The class of solutions under study are those which minimize the group regret according to the closs of distance functions. We investigate its properties from the viewpoint of decision rationale. The bounds and monotonicity of the solutions together with their computation are also explored
  • Multiple-criteria decision analysis
• Some interesting DC extended abstracts:
  • Using Data Visualisation to tell Stories about Cultural Collections
  • Computational Design of Input Methods
  • News Company’s Link Sharing on Twitter as Informative Advertising and Content Signaling
  • Behind The Wikipedia Medical Knowledge Factory: Understanding the Knowledge Dynamic Over Time
• Finished the alignment calculations and charting. Here’s an example: 
• Meeting with Cindy
  • We spent some time looking at mind maps and discussing documentation. The main point is that the documentation trail should be clear – engineer’s notebook, wordpress blog, etc.
  • She’s going to look into finding the NASA scenarios that Wayne spoke of
  • We realized that escape rooms are a possibly a group polarization game
  • Gave her three papers to look at
    • Group and computer-mediated discussion effects in risk decision making
    • Group Polarization and Computer-Mediated Communication
    • One more that I found that was on leadership stress games
  • Need to get her this one too:
    • The effects of a normative intervention on group decision-making performance

8:00 – 5:00 ASRC MKT

• The CHIIR paper is submitted! Incorporated all of Wayne’s points (that I could decipher)
• Change the angle recording code so that it is WRT the average heading of the population. Might make a better figure 7. Started.
• Security training – one hour – done
• Do Charlestown things – done
• Fika
  • Anita skimmed the paper and liked what she saw.
  • NVivo webinar
  • $120/year
• Meeting with Wayne?
  • The CHI deadline is next week: https://chi2018.acm.org/authors/doctoral-consortium/
  • Extended Abstracts from CHI 17 (search for SESSION: Doctoral Consortium)
  • Some extended discussion about GLOBE. Might have the opportunity to look at the code with some guidance. Otherwise, it’s going up on GitHub soon. I’d like to see the code that finds similar remotely observed data on the globe as a way to find similar papers. In this scenario, that could be used to equate new GEOS data (soil, vegetation, lighting, etc) to use places that are burning to places that are at high risk for burning.

7:00 – 5:00 ASRC MKT

• Sent out copies of the draft to academic/work management. Waiting for comments
• Fix concepts
• Fix Keywords – going to try the LMN on the lit review and see what pops up 
  • Raw: platform model market dependence network effect simulation smartphone technology (Scholar search on these terms)
  • Normalized: group information model study between social system individual change (Scholar search on these terms)
  • Normalized is much better.
• Get page numbers
• Register for easychair, and make sure what the actual deadline is. Registered, but there is no date information WRT the submission. Going to submit Saturday night out of an abundance of caution.
• I had some more thoughts about how behavior patterns emerge from the interplay between trust and awareness. I think the following may be true:
  • Healthy behaviors emerge when trust and awareness are equivalent.
  • Low trust and low awareness is reasonable. It’s like walking through a dark, unknown space. You go slow, bump into things, and adjust.
  • Low trust and high awareness is paralytic.
  • High trust and low awareness is reckless. Runaway conditions like echo chambers.
  • Diversity is a mechanism for extending awareness, but it depends on trusting those who are different. That may be the essence of the explore/exploit dilemma.
  • In a healthy group context, trust falls off as a function of awareness. That’s why we get flocking. That is the pattern that emerges when you trust more those who are close, while they in turn do the same, building a web of interaction. It’s kind of like interacting ripples?
  • This may work for any collection of entities that have varied states that undergo change in some predictable way. If they were completely random, then awareness of the state is impossible, and trust should be zero.
    1. Human agent trust chains might proceed from self to family to friends to community, etc.
    2. Machine agent trust chains might proceed from self to direct connections (thumb drives, etc) to LAN/WAN to WAN
    3. Genetic agent trust chain is short – self to species. Contact is only for reproduction. Interaction would reflect the very long sampling times.
    4. Note that (1) is evolved and is based on incremental and repeated interactions, while (2) is designed and is based on arbitrary rules that can change rapidly. Genetics are maybe dealing with different incentives? The only issue is persisting and spreading (which helps in the persisting)
  • Computer-mediated-communication disturbs this process (as does probably every form of mass communication) because the trust in the system is applied to the trust of the content. This can work in both ways. For example, lowering trust in the press allows for claims of Fake News. Raising the trust of social networks that channel anonymous online sources allows for conspiracy thinking.
  • An emerging risk is how this affects artificial intelligence, given that currently high trust in the algorithms and training sets is assumed by the builders
    • Low numbers of training sets mean low diversity/awareness,
    • Low numbers of algorithms (DNNs) also mean low diversity/awareness
    • Since training/learning is spread by update, the installed base is essentially multiple instances of the same individual. So no diversity and very high trust. That’s a recipe for a stampede of 10,000 self driving cars.

7:00 – 4:00 ASRC MKT

• from ABC news. Artificially amplifying (both) poles and establishing norms
  • “They were taking both sides of the argument this past weekend, and pushing them out from their troll farms as much as they could to try to just raise the noise level in America and to make a big issue seem like an even bigger issue,” Lankford said at a hearing of the Senate Homeland Security and Government Affairs Committee.
• Got all the LaTex packages installed so that I can compile the paper at home
• Adding in references – done
• Fix concepts
• Fix Keywords

8:00 – 4:30 ASRC MKT

• Building an information stampede in Iowa
• Rework scale sentence
• Change ‘Runaway Echo Chambers’ to ‘Runaway Belief Bubbles’? No. Echo Chambers without the Runway, we’re thinking…
• Done stuffing the paper into LaTex! Ten pages!