Dear all,
I think that the following call might be of interest to some members of the
list. Please, feel free to disseminate it (thanks!):
[image: Imágenes integradas 1] <http://swellrt.org/contest>
If you like to code, free software and to boost a decentralized Internet,
the SwellRT project invites you to participate in its
Free Software Contest
3000€, 2000€ and 1000€ prizes will be awarded to the best 3 projects
which use or improve SwellRT technology.
Find more info at:
http://swellrt.org/contest
[image: Imágenes integradas 2] <http://swellrt.org/>
SwellRT is a real-time decentralized storage platform
enabling real-time collaboration for Web applications.
Multiple users can share and edit JavaScript objects in real-time
with transparent conflict resolution (eventual consistency).
Changes are distributed in real-time to any user or app accessing the
shared object.
SwellRT provides also out-of-the-box collaborative rich-text editing
for Web applications through an extensible text editor Web component and
API.
SwellRT can be deployed as a decentralized network,
so shared objects can be stored and synced in different federated servers
in real time.
--
Samer | @sh3v3k <http://twitter.com/sh3v3k> | http://samer.hassan.name
Computational Approaches to Social Modeling
Call for Papers
Bellevue, WA as part of SocInfo'16 (usa2016.socinfo.eu/call-for-workshops/)
*Workshop:*
Modern life is infused with a myriad of gadgets and new technologies that
are quickly becoming online extensions of our offline lives. How we
interact with others, where we are and where we go are all facets that are
increasingly captured with ever greater detail by our online tools and
gadgets. Digital traces constantly produced by these tools create hitherto
unseen possibilities for the study of human behavior, but also pose their
own challenges. The avalanche of data we are witnessing demands new tools
and concepts to be analyzed and the new problems that are within our reach
demand new algorithms and models to be developed.
This workshop aims to bring together practitioners of both computer science
and social science so that both may better understand the challenges faced
by each other and how best they may collaborate to overcome them.
*IMPORTANT DATES:*
Workshop papers submission: September 12, 2016 EXTENDED
Workshop paper acceptance notification: September 27, 2016
Workshop final camera-ready paper due: October 14, 2016
Workshop date: November 14, 2016
*Topics of Interest:*
Topics include, but are not limited to:
- Social Modeling, Theories and Analytics
- Dynamics and Evolution of Social Systems
- Social and Behavioral Changes
- Online Social Movements
- Collective Behavior
- Human Dynamics
- Voter Behavior
- Measures, metrics in characterization of Social Networks
- Digital Epidemiology
- Human mobility, models and data
- Analysis of Proxy Data
- Prediction and Prediction Markets (Wisdom of Crowds)
- Language Variation and Language Use
- Dialects
- Geographical Patterns
- Language Evolution and Language Change
- Impact of language on information diffusion
- Mixed Methods and Methodologies
- combining reactive and non-reactive, obtrusive and unobtrusive
research methods for exploring social phenomena
- for collecting and storing social datasets to make research results
reproducible and verifiable
- for analyzing biased, selective and incomplete social data on the
Web
- for preserving individuals' privacy while studying social phenomena
- Algorithms, Tools and Applications
- Analysis of social data
- that allow to capture social data
- that exploit social science findings and theories (e.g., tools that
detect and prevent mobbing or depressive behavior online)
*Submissions:*
Due to differing publishing practices of social scientists, physicists and
computer scientists, submissions can take 3 forms:
Extended *2 page* abstracts of previously published manuscripts
Short papers: should not exceed *8 pages*
Full papers: should not exceed *14 pages*
All page counts exclude references and any appendix.
Paper submissions must be written in English and should be formatted
according to Springer LNCS paper formatting guidelines (
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). The review
process will be single-blind (i.e., submissions do not need to be
anonymized). All papers must be submitted electronically through the
EasyChair submission page (https://easychair.org/conferences/?conf=chasm16).
*Organizers:*
Bruno Gonçalves, New York University Center for Data Science, US
Nicola Perra, Greenwich University, London, UK
Andrea Baronchelli, Department of Mathematics, City University London, UK
*PC Members (Alphabetical):*
Luca Maria Aiello, Yahoo! Research Barcelona
Sitaram Asur, HP Labs*
Alain Barrat, CNRS, France
Javier Borge-Holthoefer, IN3-UOC, Barcelona, Spain
Ciro Cattuto, ISI Foundation
Ed Chi, Google Research*
Noshir Contractor, Northwestern University*
Munmun De Choudhury, Microsoft Research*
Emilio Ferrara, University of Southern California
Daniel Gayo-Avello, University of Oviedo*
Przemyslaw Grabowicz, Max Planck Institute for Software Systems
Paul Groth, VU University of Amsterdam *
Brian Keegan, University of Colorado, Boulder
Kristina Lerman, University of Southern California*
Vera Liao, University of Illinois at Urbana-Champaign
Jared Lorince, Indiana University
Elaheh Momemi, University of Vienna*
Esteban Moro, Universidad Carlos III de Madrid
Claudia Müller-Birn, FU Berlin
Konstantinos Pelechrinis, University of Pittsburgh
Nathan Poor, The Underwood Institute
Jose Ramasco, University Islas-Baleares
Bruno Ribeiro, Carnegie Mellon University
Rossano Schifanella, University of Turin, Italy
Philipp Singer, GESIS - Leibniz Institute for the Social Sciences
Markus Strohmeier, GESIS - Leibniz Institute for the Social Sciences
Claudia Wagner, GESIS - Leibniz Institute for the Social Sciences*
Katrin Weller, GESIS - Leibniz Institute for the Social Sciences
Qian Zhang, Northeastern University
Arkaitz Zubiaga, Dublin Institute of Technology
* To be confirmed
*******************************************
Bruno Miguel Tavares Gonçalves, PhD
Homepage: www.bgoncalves.com
Email: bgoncalves(a)gmail.com
*******************************************
Computational Approaches to Social Modeling
Call for Papers
*Workshop:*
Modern life is infused with a myriad of gadgets and new technologies that
are quickly becoming online extensions of our offline lives. How we
interact with others, where we are and where we go are all facets that are
increasingly captured with ever greater detail by our online tools and
gadgets. Digital traces constantly produced by these tools create hitherto
unseen possibilities for the study of human behavior, but also pose their
own challenges. The avalanche of data we are witnessing demands new tools
and concepts to be analyzed and the new problems that are within our reach
demand new algorithms and models to be developed.
This workshop aims to bring together practitioners of both computer science
and social science so that both may better understand the challenges faced
by each other and how best they may collaborate to overcome them.
*IMPORTANT DATES:*
Workshop papers submission: August 27, 2016
Workshop paper acceptance notification: September 27, 2016
Workshop final camera-ready paper due: October 14, 2016
*Topics of Interest:*
Topics include, but are not limited to:
- Social Modeling, Theories and Analytics
- Dynamics and Evolution of Social Systems
- Social and Behavioral Changes
- Online Social Movements
- Collective Behavior
- Human Dynamics
- Voter Behavior
- Measures, metrics in characterization of Social Networks
- Digital Epidemiology
- Human mobility, models and data
- Analysis of Proxy Data
- Prediction and Prediction Markets (Wisdom of Crowds)
- Language Variation and Language Use
- Dialects
- Geographical Patterns
- Language Evolution and Language Change
- Impact of language on information diffusion
- Mixed Methods and Methodologies
- combining reactive and non-reactive, obtrusive and unobtrusive
research methods for exploring social phenomena
- for collecting and storing social datasets to make research results
reproducible and verifiable
- for analyzing biased, selective and incomplete social data on the
Web
- for preserving individuals' privacy while studying social phenomena
- Algorithms, Tools and Applications
- Analysis of social data
- that allow to capture social data
- that exploit social science findings and theories (e.g., tools that
detect and prevent mobbing or depressive behavior online)
*Submissions:*
Due to differing publishing practices of social scientists, physicists and
computer scientists, submissions can take 3 forms:
Extended *2 page* abstracts of previously published manuscripts
Short papers: should not exceed *8 pages*
Full papers: should not exceed *14 pages*
All page counts exclude references and any appendix.
Paper submissions must be written in English and should be formatted
according to Springer LNCS paper formatting guidelines (
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). The review
process will be single-blind (i.e., submissions do not need to be
anonymized). All papers must be submitted electronically through the
EasyChair submission page (https://easychair.org/conferences/?conf=chasm16).
*Organizers:*
Bruno Gonçalves, New York University Center for Data Science, US
Nicola Perra, Greenwich University, London, UK
Andrea Baronchelli, Department of Mathematics, City University London, UK
*PC Members (Alphabetical):*
Luca Maria Aiello, Yahoo! Research Barcelona
Sitaram Asur, HP Labs*
Alain Barrat, CNRS, France
Javier Borge-Holthoefer, IN3-UOC, Barcelona, Spain
Ciro Cattuto, ISI Foundation
Ed Chi, Google Research*
Noshir Contractor, Northwestern University*
Munmun De Choudhury, Microsoft Research*
Emilio Ferrara, University of Southern California
Daniel Gayo-Avello, University of Oviedo*
Przemyslaw Grabowicz, Max Planck Institute for Software Systems
Paul Groth, VU University of Amsterdam *
Brian Keegan, Northeastern University
Kristina Lerman, University of Southern California*
Vera Liao, University of Illinois at Urbana-Champaign
Jared Lorince, Indiana University
Elaheh Momemi, University of Vienna*
Esteban Moro, Universidad Carlos III de Madrid
Claudia Müller-Birn, FU Berlin
Konstantinos Pelechrinis, University of Pittsburgh
Nathan Poor, The Underwood Institute
Jose Ramasco, University Islas-Baleares
Bruno Ribeiro, Carnegie Mellon University
Rossano Schifanella, University of Turin, Italy
Philipp Singer, GESIS - Leibniz Institute for the Social Sciences
Markus Strohmeier, GESIS - Leibniz Institute for the Social Sciences
Claudia Wagner, GESIS - Leibniz Institute for the Social Sciences*
Katrin Weller, GESIS - Leibniz Institute for the Social Sciences
Qian Zhang, Northeastern University
Arkaitz Zubiaga, Dublin Institute of Technology
* To be confirmed
Please comment on whether to approve the introduction to the "Committee"
section of the draft Code of conduct for technical spaces.
The draft text is at
https://www.mediawiki.org/w/index.php?title=Code_of_Conduct/Draft&oldid=220…
. This is the part after the "Page: Code of Conduct/Committee" heading
and before the "Diversity" heading.
You can comment at
https://www.mediawiki.org/wiki/Talk:Code_of_Conduct/Draft#Finalize_introduc…
. A position and brief comment is fine.
You can also send private feedback to conduct-discussion(a)wikimedia.org .
Thanks again,
Matt Flaschen
P.S. Sorry, I should have combined this into my previous email.
If you've thought about bringing researchers (perhaps from one of your
other research areas?) on-wiki, you might enjoy this special report from
the Signpost about a Wikibomb organized with the Scientific Committee on
Antarctic Research:
https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/
2016-08-18/Special_report
One basic resource is Thomas Shafee's slidedeck "Wikipedia editing for
scientists"
https://en.wikipedia.org/wiki/File:Wikipedia_Workshop.pdf
But check the wikibomb report for a fuller ideas.
-Jodi
---------- Forwarded message ----------
From: Pete Forsyth <peteforsyth(a)gmail.com>
Date: Thu, Aug 18, 2016 at 2:23 PM
Subject: [Gendergap] Women scientists in Antarctica: Well-designed expert
engagement
To: Increasing female participation in Wikimedia projects <
gendergap(a)lists.wikimedia.org>
Hi all,
Wanted to highlight a compelling piece in today's Signpost, which describes
in some detail a productive project to engage scientists in covering their
field with a focus on narrowing the gender gap:
https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/
2016-08-18/Special_report
-Pete
--
[[User:Peteforsyth]]
Signpost co-Editor-in-Chief
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Gendergap(a)lists.wikimedia.org
To manage your subscription preferences, including unsubscribing, please
visit:
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Forwarding, since the subjects may be of interest to people on the
Wikitech, AI, and Research lists.
I'm unqualified to evaluate Damon's comments and the FB exec's comments
about AI, so please refrain from shooting the messenger if these aren't
helpful or interesting to those of you who do know enough about AI to make
well-educated assessments.
Regards,
Pine
---------- Forwarded message ----------
From: "Damon Sicore" <damon(a)sicore.com>
Date: Aug 18, 2016 21:35
Subject: [Wikimedia-l] Facebook CTO on strategy, Internet access, Wikipedia
To: "Wikimedia Mailing List" <wikimedia-l(a)lists.wikimedia.org>
Cc:
Hi,
I usually don't recommend these things, but this interview with Schrep [1]
[2] is interesting and insightful. I recommend listening to it instead of
reading. He discusses FB's ten year plan, AI, VR, Internet access for
all, mentions Wikipedia several times, confirms their insatiable hunger for
structured data, and reveals several details on their innovation approach.
Trigger Warning: Corporate Speak
Make no mistake, I've nothing but contempt and spite for Facebook, but
having worked with Mike I also know he demonstrates formidable intellect
and is a decent person. He's incredibly capable in building amazing teams
and predicting (more like sniffing out) the future of tech. I watch his
moves closely to stay sharp.
He's right about how papers are coming out constantly which augment current
AI tech in interesting new ways. I believe we're living in interesting
times for computer science and mathematics--computational linguistics and
probabilistic search in particular. A person can't read the CS and math
papers fast enough in order to keep up with the innovation. A lot of it is
trivial, sure, but some is quite startling in impact as they combine a few
smaller things which seemed previously innocuous yet when used together
they solve key problems.
When looking into tech and strategy for WMF and the engineers it supports,
I'd be very interested in the direction Facebook is going and the
technologies they plan on investing in, so passing it along.
Yours faithfully,
Damon
[1] http://www.metisstrategy.com/interview/mike-schroepfer/
[2] https://en.wikipedia.org/wiki/Mike_Schroepfer
Damon Sicore
512 963 5126
https://damon.sicore.com
6E98 FBFB
D192 D325
B85D D4FF
FD2A 20ED
DC1D 3975
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In a parallel thread to this, things to avoid when doing wikipedia research
are being discussed. That's turning quite negative, so I thought I'd start
a contra-thead. This is all my personal experience and advice based on a
decade in en.wiki and twice that in academia.
Which account to use?
=================
There are rules about use of multiple accounts, these are detailed at
[[Wikipedia:Sock puppetry]]. Sockpuppetry is probably the harshestly
punished of errors on en.wiki. The main points to note are:
(a) using multiple accounts to hide edits, the extent of editing or to
create a false impression is strictly forbidden. [If your experimental
design depends on true anonymity, take it to
[[WP:Administrators%27_noticeboard]] for advice on how to proceed, but be
prepared to justify yourself.]
(b) you can separate your general account from accounts used for testing,
experiments, etc. In the case of automated editing, all automated editing
must be done in a separate account with a name ending in the letters 'bot'
If you use separate accounts, on-wiki stats can be used.
(c) if you use separate accounts, link them using the templates
at [[Wikipedia:Userboxes/Wikipedia/Related accounts]] or clear statements
on the user pages. See for example by user pages at [[User:Stuartyeates]]
and [[User:Stuartyeates (code test)]]
(d) different accounts can have different privileges and flags,
particularly the bot flag which permits fully automated editing and
autopatrolled which controls the level of scrutiny of new pages. You can
request for funky permissions at [[Wikipedia:Requests for permissions]],
any admin can remove permissions on request.
What kinds of topics to use
====================
As a tertiary source, Wikipedia has universal scope, biased by the coverage
of subjects in secondary sources. Some parts of that scope is more
contested than other parts and unless you wish to explicit deal with that
contestation, you probably want to avoid some things.
Hotly contested topics: current and ongoing political and military clashes
(Crimea, the South China Sea, etc.); current political/social hot-potatoes
in countries with significant English speaking populations (abortion
rights, gamergate, climate change, etc); peak ideological figures (Jesus,
Hitler, etc); current political candidates (Trump, Clinton, etc),
Average contested topics: Biographies of living people, etc
Safer topics: Biographies of the dead (give them 12 months for obits,
probate etc), migrating data from authoritative third-party sources
(official gazetteers, national biographies, etc), recent (1-5 years ago)
academic advances, etc.
Problems we don't have
===================
1) We have enough short stub articles which need expanding. We don't need
more unless they clearly serve a secondary purpose, such as combatting our
acknowledge systematic biases.
2) We are already aware of hundreds of ways to disrupt wikipedia, we don't
need demonstrations.
3) We know the internet and internet search engines are full of unreliable
websites, content farms paid shrills and armchair politicians, we don't
need any more of them added to en.wiki as sources.
4) We know that certain kinds of hoaxes are pretty trivial pull off, we
don't need any more, thanks.
Systematic problems we have
=======================
(1) Attracting, retaining and motivating a large, diverse pool of editors
(2) Preventing self-interested and promotional editing
(3) Countering our well-known systematic biases (gender, culture,
geography, time, etc)
(4) How should we resolve conflict among well-meaning editors when it arises
(5) How do we improve our processes so that as much as possible we're
dealing with the deep issues rather than the shallow issues.
(6) Approximately 1/2000 of our articles meet our highest quality
requirements. How do we improve that?
(7) Disambiguation of names (aka authority control). There are lots of
institutions, people, places and events with similar names. Sorting them
out is hard, very hard.
Incidental problems we have and might make good research topics
===================================================
For a list of incidental issues that arise see [[Wikipedia:Bot requests]].
Other points
==========
Create new pages in the Draft namespace rather than the Article namespace
Putting changes or additional sources on the talk page of an article rather
than in the body is inherently safer.
Wait for the natural conclusion of events before writing about them. For a
crime, this is sentencing or end of appeals period; for an academic
discovery this is independent verification; for a medical breakthrough this
is gaining FDA approval (or giving up); etc.
Newly created articles have high mortality and high visibility. Techniques
that improve their handling are likely to be welcomed. Possibilities
include: adding a 'links' section with automatically discovered
likely-to-be-reliable sources; comparing the new article to existing
article and adding a hatnote where a strong match is found; automatic
language detection for new articles in non-English languages;
Articles at [[WP:Articles for deletion]] are being actively contested.
Automated input into this contestation might be useful: finding relevant
non-googlable (or non-Egnlish) reliable sources on the web; spotting
conflicts of interest; etc.
I hope these notes help.
cheers
stuart
--
...let us be heard from red core to black sky
Hi wiki-research-l folks,
Some colleagues at Berkeley and I are looking for feedback on a research-focused grant proposal regarding countering harassment in online platforms including Wikipedia: https://meta.wikimedia.org/wiki/Grants:Project/I_School_Challenge_for_Count…
Very briefly, we plan to:
* organize a conference to collect research and assess needs;
* issue a Challenge for projects that counter online harassment; and,
* develop a "research commons" to support ongoing collaboration on this topic.
Part of our motivation has been that there seems to be a lot of existing research related to online (or offline) harassment that may not have been taken advantage of in platform design yet; simultaneously, there may be data or things learned by particular large platforms in how they run communities and deal with harassment that isn't widely shared. And while there may be a lot of description of problems or suggestions of solutions, more specific needs assessments for different types of users and use cases could help make work towards solutions more effective.
Any constructive comments or feedback would be welcome, on-list, off-list or on the project proposal discussion page. It would be especially helpful for us to hear from Wikipedia researchers about: existing relevant research, what would be helpful to you in terms of collaborating with other researchers on topics related to harassment, whom we should contact about potential collaboration.
Much thanks,
Nick
Nick Doty
UC Berkeley, School of Information
Center for Technology, Society & Policy