[Humanist] 28.925 events: data literacy

Humanist Discussion Group willard.mccarty at mccarty.org.uk
Wed Apr 29 07:18:11 CEST 2015

                 Humanist Discussion Group, Vol. 28, No. 925.
            Department of Digital Humanities, King's College London
                Submit to: humanist at lists.digitalhumanities.org

        Date: Tue, 28 Apr 2015 10:46:53 +0100
        From: Faith Lawrence <faith.lawrence at kcl.ac.uk>
        Subject: data literacy at Web Science 2015
        In-Reply-To: <EMEW3|1c7c33e6eb467f23e78d7a05b130bcb8r3RA7H14wsi-announce-bounces|ecs.soton.ac.uk|7FC8806F4F2A0C4090E9D2FB754ABB2B08C0F027 at SRV00049.soton.ac.uk>

Web Science 2015 – Data Literacy Workshop - Call for Papers

The 2015 Data Literacy workshop will run on the afternoon of the 30th
of June at Web Sci 2015 in Oxford, UK.

The aim of this workshop is to establish data literacy as a topic of
academic study. To this end we invite submissions of papers on the
following topics:

What do we mean by data literacy? Is there one kind of data literacy
or many? What skills, knowledge and attitudes does it include? How
does it relate to other types of literacy (digital, numerical,
statistical and linguistic)?

Why do we need data literacy? What are the social, political,
economic, technical issues it can address?

How should data literacy be achieved? Is it best done through
education, training, or behaviour change. What tools and support are
required  for data literacy?

What are the broader political, social and philosophical implications
of data literacy?

For example:

·         Should technology be driving such fundamental skills?

·         How does this compare to other technologies such as the
printing press that have created a need for new “literacies”?

·         Does data literacy compound the digital divide at another level?

·         Can it lead to open data having a more visible impact?

Who should be data literate? Should everyone become a data specialist
by learning how to deal with raw data, or we assume that we need
specialists in order to “translate” data to the society?

What are the practical implications of data literacy? What should
private and public sector organisations do about data literacy? How
should data literacy participate in education and research?

Submissions can be of two types:

·         Completed long papers (8-10pp)

·         Short papers experience related, position papers, research
in progress (3-5pp)

In either case we encourage linking to other media such as video clips
or software.

All accepted papers will be published on the workshop website. This
will be done several days before the workshop in order to facilitate
discussion in the plenary section of the workshop. The organizing
committee will select the best papers to be presented at the workshop
on the 30th of June. If papers reach the required standard but the
authors are unable to attend the workshop, they will also be

Selection criteria for papers

The selection criteria are adapted from the Springer LNCS.

·         Be in English

·         Fit with the workshop theme.

·         Have a clear motivation (why the problem is interesting
theoretically and/or practically).

·         Conceptual development and grounding in prior literature
(given the nascent nature of the topic it is not expected that the
prior literature is about data literacy)

·         Methodological adequacy (if relevant).

·         Adequate list of references to related work and grounding theories.

·         Interesting findings.

·         Well-structured and clearly written paper.

·         Maximum length of paper: 10 pages for full papers, 5 pages
for short papers.

·         Conform to Web Sci 2015 rules for formatting.

Papers will be subjected to double blind review by 2 reviewers for
rigor, relevance, originality and clarity of presentation and then the
accepted papers will be chosen by the organising committee based on
the reviewers’ assessment.

Submission Process and Dates

All deadlines are midnight UK time on the date specified.

·         Papers submitted by: 17th May

·         Notification to authors: 26th May

·         Workshop: 30th June

Papers should be anonymised,  i.e. all information identifying the
authors removed, and submitted via Easychair.

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