[Humanist] 29.830 events: interdisciplinarity; info retrieval; deep learning

Humanist Discussion Group willard.mccarty at mccarty.org.uk
Thu Mar 31 07:42:48 CEST 2016

                 Humanist Discussion Group, Vol. 29, No. 830.
            Department of Digital Humanities, King's College London
                Submit to: humanist at lists.digitalhumanities.org

  [1]   From:    Patrick Hung <Patrick.Hung at uoit.ca>                       (42)
        Subject: Call For Papers: HICSS-50 Deep Learning, Ubiquitous and Toy
                Computing Minitrack

  [2]   From:    Shuai Li <shuaili.sli at gmail.com>                          (69)
        Subject: 2nd International Workshop on Information Retrieval, France
                (SMMA 2016)

  [3]   From:    "Alexander O'Connor" <alexander.oconnor at dcu.ie>           (39)
        Subject: Call for Poster Abstracts- ‘Interdisciplinarity for
                Impact’ Workshop 1st of June 2016

        Date: Wed, 30 Mar 2016 13:34:43 +0000
        From: Patrick Hung <Patrick.Hung at uoit.ca>
        Subject: Call For Papers: HICSS-50 Deep Learning, Ubiquitous and Toy Computing Minitrack
        In-Reply-To: <1459344734801.81046 at uoit.ca>

Call For Papers

The 50th Hawaii International Conference on System Sciences (HICSS-50)
Hilton Waikoloa Village, Big Island, Hawaii, January 4-7, 2017
Deep Learning, Ubiquitous and Toy Computing Minitrack

URL: http://www.hicss.org/#!deep-learning-ubiquitous-and-toy-comput/cwar

The pervasive nature of digital technologies as witnessed in industry, services and everyday life has given rise to an emergent, data-focused economy stemming from many aspects of human individual and ubiquitous applications. The richness and vastness of these data are creating unprecedented research opportunities in a number of fields including urban studies, geography, economics, finance, entertainment, and social science, as well as physics, biology and genetics, public health and many other smart devices. In addition to data, text and machine mining research, businesses and policy makers have seized on deep learning technologies to support their decisions and proper growing smart application needs.

As businesses build out emerging hardware and software infrastructure, it becomes increasingly important to anticipate technical and practical challenges and to identify best practices learned through experience in this research area. Deep learning employs software tools from advanced analytics disciplines such as data mining, predictive analytics, text and machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures or non-linear transformations.

At the same time, the processing and analysis of deep learning applications present methodological and technological challenges. Further deep learning applications are advantaged by a rise in sensing technologies as witnessed in both the number of sensors and the rich diversity of sensors ranging from cell phones, personal computers, and health tracking appliances to Internet of Things (IoT) technologies designed to give contextual, semantic data to entities in an ubiquitous environment that previously could not contribute intelligence to key decisions and smart devices. Recently deep learning technologies have been applied into toy computing. Toy computing is a recently developing concept which transcends the traditional toy into a new area of computer research using ubiquitous technologies. A toy in this context can be effectively considered a computing device or peripheral called Smart Toys. We invite research and industry papers related to these specific challenges and others that are driving innovation in deep learning, ubiquitous and toy computing.

The goal of this minitrack is to present both novel and industrial solutions to challenging technical issues as well as compelling smart application use cases. This minitrack will share related practical experiences to benefit the reader, and will provide clear proof that deep learning technologies are playing an ever-increasing important and critical role in supporting ubiquitous and toy computing applications - a new cross-discipline research topic in computer science, decision science, and information systems. With a general focus on deep learning, ubiquitous and toy computing, this minitrack covers related topics in deep learning, ubiquitous and toy computing such as:
* Data Modeling and Implementation
* Analytics and Algorithms
* Business Models
* Delivery, Deployment and Maintenance
* Real-time Processing Technologies and Online Transactions
* Conceptual and Technical Architecture
* Visualization Technologies
* Modeling and Implementation
* Security, Privacy and Trust
* Industry Standards and Solution Stacks
* Provenance Tracking Frameworks and Tools
* Software Repositories
* Organizations Best Practices
* Smart Toys
* Case Studies (e.g., smart toys, healthcare, financial, aviation, etc.)

Extended versions of accepted papers will be invited for submission by specific journal special issues. Further details will be announced soon.

Deadline for authors to submit papers: *** June 15, 2016 (11:59 PM, Hawaii time) ***

Submission link: http://www.hicss.org/#!authors/ccjp

Minitrack Chairs:

Patrick C. K. Hung
Faculty of Business and Information Technology, University of Ontario Institute of Technology, Canada
Department of Electronic Engineering, National Taipei University of Technology, Taiwan
patrick.hung at uoit.ca

Shih-Chia Huang
Department of Electronic Engineering, National Taipei University of Technology, Taiwan
schuang at ntut.edu.tw

Sarajane Marques Peres
School of Arts, Sciences and Humanities, University of Sao Paulo, Brazil
sarajane at usp.br


        Date: Wed, 30 Mar 2016 16:43:40 +0300
        From: Shuai Li <shuaili.sli at gmail.com>
        Subject: 2nd International Workshop on Information Retrieval, France (SMMA 2016)
        In-Reply-To: <1459344734801.81046 at uoit.ca>

Dear All,

We are pleased to announce the availability of Call for Information
Retrieval Papers for Smart World Congress (Smart World 2016), and we invite
novel submissions of papers on all topics related to machine learning
theories and corresponding algorithms/models/applications etc. Accepted
papers must contain novel results. Results can be either theoretical or
empirical. Results will be judged on the degree to which they have been
objectively established and/or their potential for scientific and
technological impact.

The International Workshop on Social Media Mining and Analysis (SMMA-2016)
 with the IEEE International Conference on Ubiquitous Intelligence and
Computing (UIC 2016)

International Workshop on Social Media Mining and Analysis (SMMA-2016)
in Conjunction with the 13th IEEE International Conference on
Ubiquitous Intelligence and Computing (UIC 2016)
               18-21 July 2016, Toulouse, France


Submission Deadline: April 15, 2016       Author Notification: May 6, 2016
Final Manuscript Due: May 20, 2016

The emergence of social networks has led to a significant production of
user-generated content which consequently gave rise to fields such as
social media analytics and social computing . Social networks also gave
rise to the new phenomena called “social media” which empowered the users
towards citizen journalism or the like where users can choose to act as the
content providers instead of the more traditional content consumers. Social
networking websites such as Facebook, Google+, Twitter, LinkedIn, Flickr,
Weibo and so on  are a few examples of such empowerment. Furthermore, these
social media platforms provide new opportunities to explore  user behavior
which could benefit various applications related to economy, marketing,
education, business, medicine, etc. Social Media Mining is the process of
representing, analyzing, and extracting actionable patterns from
large-scale social media data.

SMMA-2016 is the next edition of SMMA-2015 (Liverpool, UK) and aims to
discuss the theories and methodologies from different disciplines such as
computer science, information retrieval, artificial intelligence, data
mining, machine learning, ubiquitous computing, social network analysis,
computational journalism, network science, sociology, data science, and
statistics in order to provide conceptual insights on mining social media

We invite researchers and practitioners from aforementioned communities
to share their ideas, innovations, research achievements and solutions in
fostering the advancement of intelligent data analytics and management of
social media data. We solicit original, unpublished, and innovative
research work on applying any intelligent technologies and methods to all
aspects around the theme of this workshop. The workshop is co-located with
UIC 2016, the 13th IEEE International Conference on Ubiquitous Intelligence
and Computing. Topics of interest include, but are not limited to:

Scope and Topics:
Fundamentals of social computing
Statistical modeling of large networks
Community discovery and analysis in large-scale social networks
Large-scale graph algorithms for social network analysis
Reputation, trust, privacy and security in social networks
Expert systems and decision-making for social media data
Recommendation systems and marketing
Methods for tie strength or link prediction
Methods for extracting and understanding user and group behavior
Crowdsourcing and collective intelligence
Other issues related to various social computing applications and case


The materials presented in the papers should not be published or under
submission elsewhere. Once accepted, the paper will be included into the
IEEE conference proceedings published by IEEE Computer Society Press. At
least one of the authors of any accepted paper is requested to register the
paper at the conference.

        Date: Wed, 30 Mar 2016 18:37:52 +0100
        From: "Alexander O'Connor" <alexander.oconnor at dcu.ie>
        Subject: Call for Poster Abstracts- ‘Interdisciplinarity for Impact’ Workshop 1st of June 2016
        In-Reply-To: <1459344734801.81046 at uoit.ca>

 Call for Poster Abstracts- ‘Interdisciplinarity for Impact’ Workshop
1st of June 2016

Trinity College Dublin and Dublin City University are organising a 1
day workshop which will examine how interdisciplinary research can
enable researchers to achieve deeper impact for their work. The event,
funded by the Irish Research Council’s Creative Connections workshop
initiative will take place on Wednesday the 1st of June 2016 from
10.00-17.00 in the Trinity Long Room Hub, Trinity College Dublin.

Further information about the workshop can be found here :

Poster Session: An important part of the workshop will be the
inclusion of early-stage researchers (north and south) who have
experience, or who wish to gain experience, in interdisciplinary

To facilitate early stage researchers with a networking and showcase
opportunity, the organising committee for ‘Interdisciplinarity for
Impact’ is inviting abstracts from mid-to-late-stage PhD, Early
Postdoctoral and other Early-stage researchers to present their work
at a poster session during the workshop lunch. Submissions should
outline how the work in question is interdisciplinary in nature i.e.
how it includes approaches/perspectives across the traditional Arts,
Humanities and Social Science (AHSS) and Science, Technology,
Engineering and Maths (STEM ) boundaries.

Early Stage researchers interested in presenting are invited to submit
an abstract in PDF by 17.30  Wednesday 20th of April with the email
subject title “Interdisciplinarity for Impact” to burgessm at tcd.ie.

Please include the following information in your submission:

·         Poster presenter’s/presenters’ full contact information
(this will appear in the workshop programme)

·         Poster Title

·         Poster Abstract (300-500 words).

Poster Presenter Biography (maximum 50 words).

Dr. Alexander O'Connor
Alexander.OConnor at dcu.ie
dralexoconnor at gmail.com

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