Interesting/relevant research venue...
---------- Forwarded message ----------
From: Sandra Fauconnier <sandra.fauconnier(a)gmail.com>
Date: Thu, Jan 18, 2018 at 10:07 AM
Subject: [Wikidata] Fwd: Call for Papers: EuropeanaTech 2018 Conference
To: "Discussion list for the Wikidata project." <
wikidata(a)lists.wikimedia.org>
Hi all!
Here's a call for proposals for the EuropeanaTech conference, which will
take place in Rotterdam, May 15-16, 2018.
https://pro.europeana.eu/event/europeanatech-conference-2018
Some of the suggested topics are very Wikidata- and Wikimedia-related.
Best! Sandra (User:Spinster)
---------- Forwarded message ----------
From: Gregory Markus <gmarkus(a)beeldengeluid.nl>
Date: Thu, Jan 18, 2018 at 9:17 AM
Subject: Call for Papers: EuropeanaTech 2018 Conference
To: EUROPEANA-TECH(a)list.ecompass.nl
Dear EuropeanaTech community
EuropeanaTech is about the practical application of research concepts and
the latest technologies to digital libraries. For this edition of
EuropeanaTech, we concentrate on t*he three D’s: Data, Discovery and
Delivery*. Intertwined are the concepts of participation, linked and big
data; language and tools. Across all the subjects we are looking for the
inclusion of rigorous evaluations of the outcomes.
The conference will be a mix of invited speakers and successful
presentations from this call. We are not expecting an academic paper but a
lively presentation of work that you have been doing under the subjects
below. We are as interested in the glorious failures as we are in the
gorgeous successes.
Submission Guidelines
Please submit your proposal* by February 7*. It should contain a title, an
abstract of 250 words, some key words and a two sentence evaluation of its
practical benefits or learning. The Programme Committee will evaluate all
the submitted proposals and will notify you before the end of February if
your proposal has been selected for presentation. *We have room for up to
15 presentations* to be given in the conference as a result of this call.
The conference fee and your travelling costs will be covered if your
presentation is chosen.
Submissions are to be made via EasyChair: https://easychair.org/conferen
ces/?conf=eurtech18
List of Topics
*DATA*
1.
*User generated content and metadata:* from crowdsourcing of
descriptive data and transcription projects to Wikidata and structured data
on the Commons to how to combine institutional and user generated metadata.
We are looking for what has worked, or what hasn’t and can be done better.
2.
*Enhancing the results of digitisation: *various applications connect
the act of digitisation with required data processes for the use of the
data. What are the latest techniques, have they been applied at scale, do
they work in the in the more challenging audio-visual areas? We are
interested in everything from 3D capture, OCR, sound/video labelling,
named entity recognition and feature detection, to machine or deep learning
to help classify and categorise the digitised data.
3.
*Decentralisation vs Centralisation:* We know that aggregation works as
a process to bring together disparate data, standardised, normalise it and
make it available to other parties, but we also know that this is labour
intensive, very hierarchical, and does not distribute knowledge and
expertise. On the other hand more decentralised ways of working have yet to
be really proven in practice. Presentations that give the latest thinking
on how we can best enable access to cultural heritage data and reduce
friction costs are welcome, particularly with evaluation on the relative
strengths and weaknesses.
4.
*Multilingualism*: Google has more or less cracked full text translation
of mainstream languages, but we are still struggling with niche languages
and metadata. Presentations that evaluate the current thinking or give
insights into the latest work in the area would fit well in this section of
the creation and use of multilingual data in Cultural Heritage.
*DISCOVERY*
1.
*User Interaction: *Search is still the dominant means of gaining access
to the wealth of cultural heritage data now online, but does it represent
that wealth? Search is ungenerous: it withholds information, and demands a
query, what are the alternatives? Papers on generous interfaces and
frictionless design are sought to shed new light on how Cultural Heritage
can show itself more deeply. Evaluating the benefits and weaknesses to the
user in the process.
2.
*Artificial Intelligence: *For this subject topics ranging from machine
learning to neural network-based approaches to Cultural Heritage are
welcome. This includes applications of AI from image feature recognition to
natural language processing, and from building search interfaces on
features/colour similarity between images and discovery to the use of human
metadata and computer vision. We would also be interested in the audio and
moving image equivalents. Anything dealing with the combination of metadata
tags, image similarity and machine learning based on user input would be
very relevant as would Artificial Intelligence technology for content
curation.
*DELIVERY*
1.
*Digital Innovation: *The corporate culture of our memory institutions,
set up to preserve and conserve our heritage and the organisation of
digital innovation are not a marriage made in heaven. The Labs/Skunkworks
model is increasingly seen at best as an interim stage and at worst as a
dead end for organising innovation. So how should GLAMs go about organising
for digital innovation? How can governments and/or funders best support
digital transformation of the GLAM-sector?
2.
*Evaluation techniques:* Evaluation should be part of everything we do
in the publicly funded space of most of cultural heritage, but the how is
struggling to gain a common language, one that we can apply so funders get
a picture of the project within its broader context. Evaluation has been
requested to be part of all papers submitted but the latest in techniques
and agreement on a framework for the sector would constitute useful
insights.
3.
*Open source community:* What is the health and standing of the open
source community within the cultural heritage sector? Does it thrive or is
it a nice idea that is not a reality? How can projects with a limited
lifespan create and sustain products for the sector at large while
developing and engaging a thriving community around them? From
digitisation to search engine development should there be more emphasis on
the need for vibrant open source communities and more resources to
realizing them? Papers on barriers and successes are requested.
--
*Gregory Markus*
Project Leader
*Netherlands Institute for Sound and Vision*
*Media Parkboulevard 1
<https://maps.google.com/?q=Media+Parkboulevard+1&entry=gmail&source=g>,
1217 WE Hilversum | Postbus 1060, 1200 BB
Hilversum | *
*beeldengeluid.nl* <http://www.beeldengeluid.nl/>
*T* 0612350556
*Aanwezig:* - ma, di, wo, do, vr
===== This is the mailing list of the EuropeanaTech community -
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_______________________________________________
Wikidata mailing list
Wikidata(a)lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wikidata
--
Jonathan T. Morgan
Senior Design Researcher
Wikimedia Foundation
User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>
Hi all,
Apologies for cross-posting.
*************** WEB SCIENCE SUMMER SCHOOL 2018, Hannover, Germany
***************
The Web Science Summer School 2018 (WWSSS’18) will be held in Hannover,
Germany. It is hosted by L3S Research Center and will take place from
30.07.18 till 04.08.18.
Web Science is the emergent study of the people and technologies,
applications, processes and practices that shape and are shaped by the
World Wide Web. Web Science aims to draw together theories, methods and
findings from across academic disciplines, and to collaborate with
industry, business, government and civil society, to develop our
knowledge and understanding of the Web: the largest socio-technical
infrastructure in human history.
Web Science requires mining and understanding data from the Web,
requiring both technical skills for handling big (Web) data as well as
fundamental understanding of the social, psychological or legal aspects
underpinning online activities.
The WWSSS’18 will address the inter-disciplinary field of Web Science by
focusing on lectures which tackle the aforementioned challenges in
topics such as data science and data mining, big data processing,
information retrieval, Web governance as well as the sociology and
psychology of online interactions.
Alongside lectures that will address major trends in Web Science, the
Summer School will provide hands-on training in data processing,
analysis and methods, team work, and opportunities to present current
research. Participants shall work on specific tasks linked to the
datasets provided, and will be mentored by local instructors. All teams
will present the results of their work on the last day of the school.
Speakers, tutors and the full program are currently being finalized.
Registration for the summer school will be made open for everyone. In
addition, there will be a selection process for a few scholarships that
will be awarded to students to cover participation costs.
Follow the updates at http://wwsss18.webscience.org/, and do not miss
the chance to be a part of this enriching experience! Please feel free
to contact the chairs of the summer school or the local organization
team if you have any queries.
*********************************************************************************
--
Ujwal Gadiraju
L3S Research Center
Leibniz Universität Hannover
30167 Hannover, Germany
Phone: +49. 511. 762-5772
Fax: +49. 511. 762-19712
E-Mail: gadiraju(a)l3s.de
Web: www.l3s.de/~gadiraju/
Hey all,
a reminder that the livestream of our monthly research showcase starts in
45 minutes (11.30 PT)
- Video: https://www.youtube.com/watch?v=L-1uzYYneUo
- IRC: #wikimedia-research
- Abstracts:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#January_2018
Dario
On Tue, Jan 16, 2018 at 9:45 AM, Lani Goto <lgoto(a)wikimedia.org> wrote:
> Hi Everyone,
>
> The next Research Showcase will be live-streamed this Wednesday, January
> 17, 2018 at 11:30 AM (PST) 19:30 UTC.
>
> YouTube stream: https://www.youtube.com/watch?v=L-1uzYYneUo
>
> As usual, you can join the conversation on IRC at #wikimedia-research. And,
> you can watch our past research showcases here.
>
> This month's presentation:
>
> *What motivates experts to contribute to public information goods? A field
> experiment at Wikipedia*
> By Yan Chen, University of Michigan
> Wikipedia is among the most important information sources for the general
> public. Motivating domain experts to contribute to Wikipedia can improve
> the accuracy and completeness of its content. In a field experiment, we
> examine the incentives which might motivate scholars to contribute their
> expertise to Wikipedia. We vary the mentioning of likely citation, public
> acknowledgement and the number of views an article receives. We find that
> experts are significantly more interested in contributing when citation
> benefit is mentioned. Furthermore, cosine similarity between a Wikipedia
> article and the expert's paper abstract is the most significant factor
> leading to more and higher-quality contributions, indicating that better
> matching is a crucial factor in motivating contributions to public
> information goods. Other factors correlated with contribution include
> social distance and researcher reputation.
>
> *Wikihounding on Wikipedia*
> By Caroline Sinders, WMF
> Wikihounding (a form of digital stalking on Wikipedia) is incredibly
> qualitative and quantitive. What makes wikihounding different then
> mentoring? It's the context of the action or the intention. However, all
> interactions inside of a digital space has a quantitive aspect to it, every
> comment, revert, etc is a data point. By analyzing data points
> comparatively inside of wikihounding cases and reading some of the cases,
> we can create a baseline for what are the actual overlapping similarities
> inside of wikihounding to study what makes up wikihounding. Wikihounding
> currently has a fairly loose definition. Wikihounding, as defined by the
> Harassment policy on en:wp, is: “the singling out of one or more editors,
> joining discussions on multiple pages or topics they may edit or multiple
> debates where they contribute, to repeatedly confront or inhibit their
> work. This is with an apparent aim of creating irritation, annoyance or
> distress to the other editor. Wikihounding usually involves following the
> target from place to place on Wikipedia.” This definition doesn't outline
> parameters around cases such as frequency of interaction, duration, or
> minimum reverts, nor is there a lot known about what a standard or
> canonical case of wikihounding looks like. What is the average wikihounding
> case? This talk will cover the approaches myself and members of the
> research team: Diego Saez-Trumper, Aaron Halfaker and Jonathan Morgan are
> taking on starting this research project.
>
> --
> Lani Goto
> Project Assistant, Engineering Admin
> _______________________________________________
> Wikimedia-l mailing list, guidelines at: https://meta.wikimedia.org/
> wiki/Mailing_lists/Guidelines and https://meta.wikimedia.org/
> wiki/Wikimedia-l
> New messages to: Wikimedia-l(a)lists.wikimedia.org
> Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l,
> <mailto:wikimedia-l-request@lists.wikimedia.org?subject=unsubscribe>
--
*Dario Taraborelli *Director, Head of Research, Wikimedia Foundation
wikimediafoundation.org • nitens.org • @readermeter
<http://twitter.com/readermeter>
We’re glad to announce the release of an aggregate clickstream dataset extracted from English Wikipedia
http://dx.doi.org/10.6084/m9.figshare.1305770 <http://dx.doi.org/10.6084/m9.figshare.1305770>
This dataset contains counts of (referer, article) pairs aggregated from the HTTP request logs of English Wikipedia. This snapshot captures 22 million (referer, article) pairs from a total of 4 billion requests collected during the month of January 2015.
This data can be used for various purposes:
• determining the most frequent links people click on for a given article
• determining the most common links people followed to an article
• determining how much of the total traffic to an article clicked on a link in that article
• generating a Markov chain over English Wikipedia
We created a page on Meta for feedback and discussion about this release: https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream <https://meta.wikimedia.org/wiki/Research_talk:Wikipedia_clickstream>
Ellery and Dario
Hi Everyone,
The next Research Showcase will be live-streamed this Wednesday, January
17, 2018 at 11:30 AM (PST) 19:30 UTC.
YouTube stream: https://www.youtube.com/watch?v=L-1uzYYneUo
As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here.
This month's presentation:
*What motivates experts to contribute to public information goods? A field
experiment at Wikipedia*
By Yan Chen, University of Michigan
Wikipedia is among the most important information sources for the general
public. Motivating domain experts to contribute to Wikipedia can improve
the accuracy and completeness of its content. In a field experiment, we
examine the incentives which might motivate scholars to contribute their
expertise to Wikipedia. We vary the mentioning of likely citation, public
acknowledgement and the number of views an article receives. We find that
experts are significantly more interested in contributing when citation
benefit is mentioned. Furthermore, cosine similarity between a Wikipedia
article and the expert's paper abstract is the most significant factor
leading to more and higher-quality contributions, indicating that better
matching is a crucial factor in motivating contributions to public
information goods. Other factors correlated with contribution include
social distance and researcher reputation.
*Wikihounding on Wikipedia*
By Caroline Sinders, WMF
Wikihounding (a form of digital stalking on Wikipedia) is incredibly
qualitative and quantitive. What makes wikihounding different then
mentoring? It's the context of the action or the intention. However, all
interactions inside of a digital space has a quantitive aspect to it, every
comment, revert, etc is a data point. By analyzing data points
comparatively inside of wikihounding cases and reading some of the cases,
we can create a baseline for what are the actual overlapping similarities
inside of wikihounding to study what makes up wikihounding. Wikihounding
currently has a fairly loose definition. Wikihounding, as defined by the
Harassment policy on en:wp, is: “the singling out of one or more editors,
joining discussions on multiple pages or topics they may edit or multiple
debates where they contribute, to repeatedly confront or inhibit their
work. This is with an apparent aim of creating irritation, annoyance or
distress to the other editor. Wikihounding usually involves following the
target from place to place on Wikipedia.” This definition doesn't outline
parameters around cases such as frequency of interaction, duration, or
minimum reverts, nor is there a lot known about what a standard or
canonical case of wikihounding looks like. What is the average wikihounding
case? This talk will cover the approaches myself and members of the
research team: Diego Saez-Trumper, Aaron Halfaker and Jonathan Morgan are
taking on starting this research project.
--
Lani Goto
Project Assistant, Engineering Admin
* Proceedings published by ACM and indexed by Scopus and Web of Science.
INTERNATIONAL CONFERENCE ON SOCIAL MEDIA AND SOCIETY
COPENHAGEN, DENMARK (JULY 18-20, 2018)
THEME: Networked Influence and Virality - REVISITED
IMPORTANT DATES
Full & WIP Papers Due: Jan. 29, 2018
Panels, Workshops, & Posters Due: Mar. 19, 2018
PUBLISHING OPPORTUNITIES
Full and WIP (short) papers presented at the Conference will be published in
the conference proceedings by ACM International Conference Proceeding Series
(ICPS) and will be available in the ACM Digital Library. All conference
presenters will be invited to submit their work as a full paper to the
special issue of the Social Media + Society journal (published by SAGE).
SUBMISSION DETAILS: http://socialmediaandsociety.org/submit/
ABOUT THE CONFERENCE
Join us on July 18-20, 2018 for the 9th annual International Conference on
Social Media and Society (#SMSociety). The conference is an
interdisciplinary gathering of social media researchers, practitioners, and
analysts from around the world. The 2018 conference is hosted by the Centre
for Business Data Analytics at the Copenhagen Business School.
In 2012, in the wake of Occupy and the Arab Spring, the #SMSociety community
explored networked influence and virality, and saw social media and viral
events as a democratizing force. Fast forward five years and we find
ourselves in quite a different, some would argue, darker social media
landscape where those same democratizing forces are now being exploited in
ways we could not foresee. With the rapid change on social media platforms
and their affordances, the heightened emphasis on mobile and visual
communication, the rise of bots, and the increased participation of state
actors, we believe it is time to revisit the ideas of Networked Influence
and Virality once more!
Powered by networked influence and made possible by privately owned social
media platforms, we are said to be in a sharing economy. We are now owning
less and sharing more, giving and receiving crowdsourced content, adapting,
innovating, remaking, and re-sharing original and remixed materials. New
attitudes, practices, and legal precedents about ownership, rights, and
information evaluation are emerging with the growing use of social media.
The joys of sharing and connecting through social media-as amateur music
videos inspire responses and the sharing of cute animal videos brings joy to
millions-are tempered with concerns about the manipulation and exploitation
of social media platforms. Hateful, anti-social speech, coordinated
misinformation campaigns (i.e. "fake news") and "false flag" operation by
actors unknown now dominate the news cycle and compete for an opportunity to
"go viral."
Considering the rapid changes in social media environments, use, and users,
the conference organizers invite scholarly and original submissions that
relate to the 2018 theme of "Networked Influence and Virality." We welcome
both quantitative and qualitative work which crosses interdisciplinary
boundaries and expands our understanding of the current and future trends in
social media research, especially those that explore some of the questions
and issues raised below:
* How do ideas spread online? What are the outcomes of the viral
spread of news, memes, content, and creative production?
* Who are the new influencers and power players in the information
landscape of social media?
* How important are bots in this landscape? How do bots act as social
actors? In what ways are they transforming social media?
* Algorithmic filtering is now the norm on all major social media
platforms; how has their implementation changed the user experience?
* What are the impacts of misinformation and propaganda on elections,
commerce, and the attention economy?
* Is faster, frictionless communication still an ideal to strive for
or have we gone too far? Do we need to reintroduce some frictions back to
social media platforms?
* How do corporate interests, activities, sales, and profit
motivations drive or otherwise affect sharing practices?
* What are the characteristics of contemporary social media practices
that drive the need for new laws, sharing conventions, censorship, rights to
be heard and to be forgotten?
* Do social media users understand, or are they even aware of, the
ethical considerations related to sharing, and re-mixing content on social
media?
* How do users evaluate information received through social media?
* How does viral culture affect policy, power dynamics, corporations,
activists, and personal interests?
* What new methodologies, tools, and frameworks can researchers bring
to bear in studying the flow of information on social media?
* How do sharing, memes, and viral events contribute to
theory-building about our society?
>From its inception, the International Conference on Social Media & Society
Conference (#SMSociety) has focused on the best practices for studying the
impact and implications of social media on society. Our invited academic and
industry keynotes have highlighted the shifting questions and concerns for
the social media research community. From introducing media multiplexity and
networked individualism with Caroline Haythornthwaite and Barry Wellman in
2010 and 2011, to measuring influence with Gilad Lotan and Sharad Goel in
2012 and 2013, to defining social media research as a field with Keith
Hampton in 2014, to identifying our commitments as social media researchers
in policy making with Bill Dutton in 2015, to exploring the future of social
media technologies with John Weigelt in 2015, to highlighting the challenges
of social media data mining in the context of big data with Susan Halford
and Helen Kennedy in 2016; and more recently discussing the dark side of
social media with Lee Rainie and Ron Deibert in 2017.
Organized by the Social Media Lab <http://socialmedialab.ca/> at Ted Rogers
School of Management at Ryerson University, the conference provides
participants with opportunities to exchange ideas, present original
research, learn about recent and ongoing studies, and network with peers.
The conference's intensive three-day program features workshops, full
papers, work-in-progress papers, panels, and posters. The wide-ranging
topics in social media showcase research from scholars working in many
fields including Communication, Computer Science, Education, Journalism,
Information Science, Management, Political Science, Sociology, Social Work,
etc. <http://socialmediaandsociety.org/submit/>
TOPICS OF INTEREST
. Social Media Impact on Society
. Political Mobilization & Engagement
. Extremism & Terrorism
. Politics of Hate and Oppression
. Social Media & Health
. Social Media & the News
. Social Media & Business (Marketing, PR, HR, Risk Management, etc.)
. Social Media & Academia (Alternative Metrics, Learning Analytics, etc.)
. Social Media & Public Administration
. Online/Offline Communities
. Trust & Credibility in Social Media
. Online Community Detection
. Influential User Detection
. Identity
. Theories & Methods
. Qualitative & Quantitative Approaches
. Opinion Mining & Sentiment Analysis
. Social Network Analysis
. Theoretical Models for Studying, Analysing and Understanding Social Media
. Social Media & Small Data
. Case Studies of Online Communities Formed on Social Media
. Case Studies of Offline Communities that Rely on Social Media
. Sampling Issues
. Value of Small Data
. Social Media & Big Data
. Social Media Data Mining
. Social Media Analytics
. Visualization of Social Media Data
. Scalability Issues & Social Media Data
. Ethics of Big Data/Algorithms
. Social Media & Mobile
. App-ification of Society
. Privacy & Security Issues in the Mobile World
. Apps for the Social Good
. Networking Apps
ORGANIZING COMMITTEE
Anatoliy Gruzd, Ryerson University, Canada - Conference Chair
Ravi Vatrapu, Copenhagen Business School, Denmark - Host Chair
Philip Mai, Ryerson University, Canada - Conference Chair
Jenna Jacobson, Ryerson University, Canada - Conference Chair
Hazel Kwon, Arizona State University, USA - WIP Chair
Jeff Hemsley, Syracuse University, USA - WIP Chair
Anabel Quan-Haase, Western University, Canada - Panel Chair
Luke Sloan, Cardiff University, UK - Panel Chair
Jaigris Hodson, Royal Roads University, Canada - Poster Chair
ADVISORY BOARD
William H. Dutton, Michigan State University, USA
Susan Halford, University of Southampton, UK
Zizi Papacharissi, University of Illinois at Chicago, USA
Barry Wellman, INSNA Founder, The Netlab Network, Canada
Dear all,
The 2nd *Applied Machine Learning Days* are around the corner!
The event will be held at the SwissTech Convention Center on the EPFL
campus in *Lausanne, Switzerland,* and will span four days *(January
27-30):* two days of hands-on workshops on the weekend, and two days of
conference with amazing speakers, on Monday and Tuesday.
You can find the full program and get tickets at appliedMLDays.org
<http://www.appliedMLDays.org>
There will be workshops for a lot of different areas, from technical
tutorials to business workshops to girls’ coding classes to deep learning
crash courses (even one for artists!). The open food hackathon will also
happen on the same weekend in the same building.
The conference will have speakers from very different domains and actors,
including DeepMind, Facebook, Zebra Med, Swisscom, Google, and of course
some from academia as well. There will also be poster sessions, panel
discussions, a conference dinner, a job fair, and plenty of time to
network. Childcare is available as well.
The generous support from our sponsors has allowed us to keep this
non-profit event affordable.
We hope to see you there!
All the best, and keep on (machine) learning in 2018,
Marcel Salathé
Martin Jaggi
Bob West
Call for Papers
formal papers - informal papers - doctoral programme - workshops - tutorials
11th Conference on Intelligent Computer Mathematics
- CICM 2018 -
August 13-17, 2018
RISC, Hagenberg, Austria
http://www.cicm-conference.org/2018
--------------------------------------------------------------------------------
Digital and computational solutions are becoming the prevalent means for the
generation, communication, processing, storage and curation of mathematical
information.
CICM brings together the many separate communities that have developed
theoretical and practical solutions for mathematical applications such as
computation, deduction, knowledge management, and user interfaces. It offers a
venue for discussing problems and solutions in each of these areas and their
integration.
CICM 2018 invites submissions in all topics relating to intelligent computer
mathematics, in particular but not limited to
* theorem proving and computer algebra
* mathematical knowledge management
* digital mathematical libraries
CICM appreciates the varying nature of the relevant research in this area and
invites submissions of very different forms:
1) Formal submissions will be reviewed rigorously and accepted papers will be
published in a volume of Springer LNAI:
* regular papers (up to 15 pages) present novel research results
* project and survey papers (up to 15 pages + bibliography) summarize
existing results
* system and dataset descriptions (up to 5 pages) present digital artifacts
2) Informal submissions will be reviewed with a positive bias and selected for
presentation based on their relevance for the community.
* informal papers may present work-in-progress, project announcements,
position statements, etc.
* posters and system demos will be presented in parallel in special sessions
3) The doctoral programme provides PhD students a forum to present early results
receive constructive feedback and mentoring.
4) Workshops allow smaller groups to self-organize focused discussions.
5) Tutorials allow presenting a particular system in depth.
* Important Dates *
Formal submissions
- Abstract deadline: April 15
- Full paper deadline: April 22
- Reviews sent to authors: May 21
- Rebuttals due: May 27
- Notification of acceptance: June 4
- Camera-ready copies due: June 8
- Conference: August 13-17
Informal submissions and doctoral programme
Two separate submission rounds are offered so that some authors can make early
travel plans while other authors submit spontaneously.
- First round submission deadline: April 22
- Second round submission deadline: July 31
Workshop and Tutorial proposals
- Submission deadline: February 26
All submissions should be made via easychair at https://easychair.org/conferences/?conf=cicm2018
Hello,
I'm software engineer working in clean energy in sub-Saharan Africa.
Noticing that the availability of science / math / engineering information
on the internet in Swahili is very poor, and given the recent improvements
in Google Translate, I'm in the process of auto-translating the relevant
sections of Wikipedia and caching on another site to avoid bad grammar on
Wikipedia. I will track usage and approximate the usefulness of current
state of machine translated pages for such sections.
I would love to hear what data and analysis would be useful for the
community on such a translation set.
I've created this page for more details and discussion:
https://meta.wikimedia.org/w/index.php?title=Research:Judging_the_Usefulnes…
Cheers,
Olya
Dear Mr. or Ms.,
I thank you for your efforts.
Want to share and discuss your Wikimedia experience with African community? Need to have African volunteers involved in your Wikimedia project? Like to explain useful ideas and knowledge to African wikimedians?
It is time to do that. In fact, you can easily do that by submitting a proposal to WikiIndaba 2018 in https://meta.m.wikimedia.org/wiki/WikiIndaba_conference_2018/Submissions. If you need to have a full or partial scholarship to attend this conference, you can apply to it in https://meta.wikimedia.org/wiki/WikiIndaba_conference_2018/Scholarships. Please keep in mind that you have to submit your proposal and apply for the conference scholarship before or in January 15th, 2018.
Yours Sincerely,
Houcemeddine Turki