Introduction to the Day: Collective Intelligence as Community Discourse and Action

February 11th, 2012
by jodi

Today I’m at the CSCW workshop on Collective Intelligence as Community Discourse and Action.

The day started with an introduction from Gregorio Convertino to the previous workshops.

Then Simon Buckingham Shum provided mutually overlapping categories for the workshop topics:

  • Empirical studies
  • New Tools
  • Discourse analysis
  • Sociality and social networks
  • Reflection and argumentation
  • Annotation
  • Crowdsourcing Dynamics
  • Civic Intelligence
  • Organizational Intelligence

I’m sorry that I’ll miss the World Cafe this evening (must run off for the doctoral colloqiuum). The plan is for the group to split into four topics for discussion:

  1. What do we already know about CI?
  2. Why should we care?
  3. What are the major obstacles?
  4. Tell me a CI story from the future

Twitter hashtag for the workshop is #cscw2012ci

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“Flipping” education: a new term for an old idea

January 27th, 2012
by jodi

I had never heard the term “flipped” teaching, so I wanted to make a note of it, via Mel Chua, who says:

my classmate Nikitha’s project for pedagogy class: redesign Purdue’s MATLAB-heavy intro-to-engineering first-year class to use a “flipped” model – view lectures at home, work on homework in class where there’s help available. (Mind you, this doesn’t mean they’ll implement it; she’s a TA, not the prof. Still, it’s cool.)

Flipped teaching is one of the ideas that could help sustain and justify small-group teaching as highly scaleable online learning becomes feasible and productive; MSNBC notes that, “Apparently even the Stanford students preferred watching the classroom lectures as online videos on their own time.” They report that 85-90% of Thrun’s in-person AI class at Stanford AI had stopped attending by the end of the class. Imagine Thrun’s shock: “These are students who pay $30,000 a year to Stanford to see the best and brightest of our professors, and they prefer to see us on video?”

In-class homework is not a new idea: the success of Berkeley’s Math/Science Workshop and UT’s Emerging Scholars Program (which I TA’d back in the days when I taught calculus) was based on providing challenging problems and group study support in class.

Nor is avoiding lecture: It would be interesting to compare the underlying philosophy of flip teaching to St. John’s, where, rather than listening lectures, students discuss the source materials in small groups. It was a wonderful way to learn!

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Stanford AI class, some off-the cuff reactions, envisioning a future of technical learning online

January 25th, 2012
by jodi

I took the Stanford AI class. Overall I’m very impressed with the scalability and quality of the experience. I’m tempted to check Thrum’s TA roles for Udacity! While I don’t think that *every* kind of class should be taught in this way, for technical material with clear “right answers”, this is the (a?) right approach.

The class worked incredibly well overall despite a number of flaws. The best part was immediate feedback, on quiz materials and once the homework deadline had passed. When something is fresh in your mind, this is the real learning moment — so that’s invaluable for keeping student engagement. Even though so much of the class was rough at the edges, that, and a trust in the knowledge/expertise of the instructors, is the key aspect that would drive me to take this sort of class again. I also went in expecting to learn more about online learning (having both taken and TA’d other online classes); I did not expect to have such a powerful experience of the potential of this (relatively impersonal) approach.

“Education” means many things to many people. To the extent that education is about filling heads with core technical material, this is the future of education. In my mind, this pushes educators in several directions:

  1. pedagogical development / teacher training There are definite skills to be learned both in presenting course material and structuring courses for optimal learning.
  2. curriculum development and curriculum systems development
    There is incredible potential for increasing the personalization — for instance, there’s a kind of error that allows insight for the teacher, into how the student is thinking. For these kinds of errors, when a particular wrong answer characterizes a certain wrong way of thinking, you can provide specific feedback about the error, and even appropriate follow-up questions
  3. the tutorial model
    Formerly common in the UK — perhaps in Ireland, too?
    My impression is that this supplemented reading with personal interaction with a knowledgable person. Here the videos/class assignments provide structure, which could be supplemented as needed.
  4. exploring and justifying the need for liberal arts education, not as an alternative to technical training, but ideally in conjunction with and countering it.
  5. exploring and justifying what is the role of education in subsidizing research and stimulating researchers.

Here are some pros and cons, off the top of my head:
+
Material was chunked into short segments.
There were clear, regular assignments.
There was an active community of students, discussing in many places.
Discussion approaches improved over the course of the class (e.g. tagging questions to particular homework problems).
There were attempts at engagement (e.g. “office hours” where questions were submitted via
The students built tools for their own and others’ use; I relied heavily on the subtitling (much easier for skimming through the parts that I already understood).
The material was well-chosen.
Eminent instructors who know the field and are passionate about it.
The feeling of being part of a game-changing educational endeavor.

-
The classes were very video-focused:
–Other learning modalities were not well accommodated.
–Watching required a lot of time and for AI, no inherent speed-up capabilities were built in.
Feedback was not personal.
The schedule varied a bit more than necessary (DOS attacks, scalability issues, changes of plans)
Repetitive conversations in the online discussions made things hard to follow.
Lack of engagement in some ways.
Reliance on a number of external tools (e.g. google hangout for “office hours”, aiqus, reddit, …) made it difficult to keep up even with core discussion.
Difficulty inherent in the size of the class/scalability (e.g. google docs couldn’t handle the number of editors for course notes)
Assignments were not proofread in advance
Assignments could have made better use of the particular kinds of typical mistakes (“insightful errors”)
Class communication could have used improvement — for instance, announcements didn’t use RSS and important corrections didn’t always get shared.
There were two instructors with very different styles and pedagogical skills.
Some people complained about the “low tech” approach to videos — but I found it helped avoid sterility.
Class materials were sometimes not available at the moments when I had time.
Some material seemed simplistic.
Many students dropped out or lost interest (I haven’t seen statistics which were promised).

+/-
Assessment could be seen as varied or insufficient: several German testing centres were opened to allow students to prove their mettle in a timed environment.


The Stanford online classes (AI etc.) and Udacity came up in a DERI listserv discussion about the future of education. This is an answer to: “Care to share experience of the classes? How did it compare to a conventional lecture series? What were the pros and cons?”

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Karen Coyle on Library Linked Data: let’s create data not records

January 12th, 2012
by jodi

There have been some interesting posts on BIBFRAME recently (noted a few of them).

Karen Coyle also pointed to her recent blog post on transforming bibliographic data into RDF. As she says, for a real library linked data environment,

we need to be creating data, not records, and that we need to create the data first, then build records with it for those applications where records are needed.

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Galway Saturday Market: a few photos

January 6th, 2012
by jodi

The Saturday market is one of my favorite weekly events here in Galway. Colleagues captured a few shots of on film.

vegetables at the Galway Saturday Market

It’s more diverse than vegetables, but that’s a good start. And pretty vegetables they are!

See also this pointer to a photoessay of Galway; and feel free to recommend others.

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Facebook dialogue

December 30th, 2011
by jodi

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Factor-based summarization

December 13th, 2011
by jodi

Factor-based summarization of reviews is useful:

I’m currently looking for a review of social media summarization. Any pointers?

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A Review of Argumentation for the Social Semantic Web

December 6th, 2011
by jodi

I’m very pleased to share our “A Review of Argumentation for the Social Semantic Web“.

You are very warmly invited to review this paper. You can post the review as a comment to the manuscript page publicly at SWJ’s website. Informal comments by email are also welcome.

Open review

I adore SWJ’s open review process: publicly available manuscripts are useful. In 11 months the landing page has had “1208 reads” and I’m sure that not all of those are mine! Further, knowing who reviewed a paper can add credibility to the process. (It means quite a lot to me when Simon Buckingham-Shum says “I anticipate that this will become a standard reference for the field.”!)

Two earlier versions

The paper evolved from my first year Ph.D. report. In the process of defining my Ph.D. topic, I reviewed the state-of-art of argumentation for the Social Semantic Web. This was further developed in conversations with my coauthors, my colleague Tudor Groza and my advisor Alexandre Passant.

The outdated first journal submission is available; May’s reviews refer to this version. A cover letter responding to the reviews summarizes what has changed. Shared since I am always encouraged by seeing how others’ work and ideas have developed over time! So read the most recent version, and let us know what you think!

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Quantified Self & Privacy: followup

December 4th, 2011
by jodi

Our breakout session on privacy was well-attended, with about 15 people, mainly coming from backgrounds in healthcare, insurance, and the like. There was a quite active discussion.

Alpha release privacy icon indicating "your data may be bartered or sold".

In addition to the questions I shared earlier, I was asked to give pointers to a few things I mentioned.

Aza Raskin asked, Could we make privacy policies as simple as CreativeCommons has made licensing? There’s now an alpha release of the privacy icons. Earlier info about the project is also in Aza’s blog.


Several people were familiar with “Say Everything“, a 2007 NY Magazine piece on how publicly many young people were living their lives:

…the idea of a truly private life is already an illusion. Every street in New York has a surveillance camera. Each time you swipe your debit card at Duane Reade or use your MetroCard, that transaction is tracked. Your employer owns your e-mails. The NSA owns your phone calls. Your life is being lived in public whether you choose to acknowledge it or not.

So it may be time to consider the possibility that young people who behave as if privacy doesn’t exist are actually the sane people, not the insane ones.

But I came across that article in conjunction with a story about a teenager whose publicity had caused her embarrassment and harm, when a sports blogger posted her picture along with a 4-paragraph note excerpted as “Meet pole vaulter Allison Stokke. . . . Hubba hubba and other grunting sounds.”

…what could she do now, when a search for her name in Yahoo! revealed almost 310,000 hits? “It’s not like I could e-mail everybody on the Internet,” Stokke said.

She felt like

Her body had been stolen and turned into a public commodity, critiqued in fan forums devoted to everything from hip-hop to Hollywood.


danah boyd, who has extensively researched teens and the Internet, has also written and spoken sagely about privacy.

Here’s an except from a talk she gave: “The Future of Privacy: How Privacy Norms Can Inform Regulation”

All too often, folks presume that privacy is about hiding information or controlling access to information. This is a very limited view. For teens, privacy has more to do with feeling safe and in control of a situation, trusting people and systems, and leveraging an understood context for intimacy.

Let me ground this in an example. If I’m dealing with an illness, I’m not hiding it from people just because I’m not talking about it. If I choose to share my illness, I’m probably not going to start by standing up in the middle of the town square and shouting loudly to everyone who could possibly hear that I’m ill. I may start by gathering my family and sharing in an intimate situation where I feel supported. I open up to them, make myself vulnerable, in exchange for support. This is privacy. I also have expectations about that social situation. I expect my family to respect the situation in which I shared something deeply personal. I _trust_ them to understand how far that information is supposed to be spread. Any one of them is capable of breaking my trust, telling someone against my wishes and expectations, but what’s at stake is the relationship. My agency, my power, in that situation does not stem from me locking my family in a closet after I told them something personal. It comes from the social expectation that they respect the context of the situation.

There are certain structural assumptions baked into this unmediated scenario. First, and most importantly, there is an assumption in everyday interactions that conversations are private-by-default, public through effort. In unmediated situations, publicity takes effort. We have to consciously tell other people what we hear. Shouting to the entire town square is a lot harder than telling just a few people. Even when we share in public places, there’s a huge difference between sitting in a cafe talking with a friend and screaming to the entire room. Sure, people can overhear us in the cafe. And they do. But that doesn’t mean that they’re in the conversation. Sociologist Erving Goffman noted that there’s a societal value of “civil inattention.” Even when we can overhear conversations, we generally try to not listen. Doing so is a way of indicating that we respect others’ space. This isn’t universal and people are always jumping into conversations that they’re not a part of. But all of the parties know that they’re “butting in.”

What’s different about the Internet is not about a radical shift in social norms. What’s different has to do with how the architecture shifts the balance of power in terms of visibility. In online public spaces, interactions are public-by-default, private-through-effort, the exact opposite of what we experience offline. There is no equivalent to the cafe where you can have a private conversation in public with a close friend without thinking about who might overhear. Your online conversations are easily overheard. And they’re often persistent, searchable, and easily spreadable. Online, we have to put effort into limiting how far information flows. We have to consciously act to curb visibility. This runs counter to every experience we’ve ever had in unmediated environments.

When people participate online, they don’t choose what to publicize. They choose what to limit others from seeing. Offline, it takes effort to get something to be seen. Online, it takes effort for things to NOT be seen. This is why it appears that more is public. Because there’s a lot of content out there that people don’t care enough about to lock down. I hear this from teens all the time. “Public by default, privacy when necessary.” Teens turn to private messages or texting or other forms of communication for intimate interactions, but they don’t care enough about certain information to put the effort into locking it down. But this isn’t because they don’t care about privacy. This is because they don’t think that what they’re saying really matters all that much to anyone. Just like you don’t care that your small talk during the conference breaks are overheard by anyone. Of course, teens aren’t aware of how their interactions in aggregate can be used to make serious assumptions about who they are, who they know, and what they might like in terms of advertising. Just like you don’t calculate who to talk to in the halls based on how a surveillance algorithm might interpret your social network.

I’d particularly recommend “Making Sense of Privacy and Publicity” and “Privacy and Publicity in the Context of Big Data“. As danah points out, social media conversations essentially *require* sharing personally identifying information. But it’s personally embarrassing information that people don’t want spread.

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Quantified Self & Privacy: some brief thoughts before the breakout session

November 26th, 2011
by jodi

Today at 3 (in Heidelberg) I’m running a breakout session on QS & Privacy: How can we ensure privacy as we share our data stories? What rights and responsibilities do we have? Where is the public-prviate boundary?

Here are a few provocative thoughts from conversations so far today.

Body Blogger Kiel Gilleade talked about heartrate this morning:

My boss called me to ask whether I was working on a deadline because my heart rate was in the green zone rather than in the red zone like the last paper-writing deadline.

He observes: situational & contextual info is crucial for interpretation.

Tom Hume tweeted:

You don’t control your identity. It’s manufactured by those around you. #qs2011

Joshua Kauffman tweeted:

There is no such thing as personal health data. All matters of health are socially shared and derived. #qs2011

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