RSS Call for discussion papers 2024: Open source intelligence from a statistical perspective
1 view
Skip to first unread message
Adam M Johansen
Jun 10, 2024, 4:08:40 AM6/10/24
to rss-...@googlegroups.com
Open source intelligence (OSINT) is intelligence gathered from publicly
available data sources such as academic publications, journals, social
media sites, online communities, and newspapers, among others. OSINT was
developed for espionage purposes during the Second World War and gained
popularity in the modern era as a result of the internet revolution,
which has resulted in the accumulation of massive amounts of data on the
Internet. The integration of artificial intelligence with OSINT, as well
as its role in cyber security are both issues of present day research
which is in need of improved statistical foundations and contributions.
Text mining, pattern matching, entity extraction, natural language
processing, machine learning, distributed learning, complex networks,
cloud computing, and big data have either made significant contributions
to modern OSINT or are developing in its relation. Precision,
reliability, promptness, and, most importantly, gaining a competitive
advantage are the criteria for evaluating intelligence, including OSINT
(Benes, 2013; Yogish Pai et al., 2021).
Motivated by the importance of the topic and the statistical issues it
raises, the RSS Discussion Meetings Committee, along with the RSS
Sections on Emerging Applications and Computational Statistics and
Machine Learning, are jointly inviting submissions of discussion papers
on open source intelligence from a statistical perspective. These papers
can cover any methodological or applied aspect or theoretical
underpinning on the topic. Examples of topics of interest include (but
are not restricted to):
Differential privacy and local differential privacy approaches
Open source intelligence in the age of artificial intelligence
Cybersecurity and open source intelligence
Cloud computing and computational aspects of OSINT
Statistical and mathematical properties of OSINT algorithms
OSINT algorithms and machine learning
Generalisation, fairness, unbalanced data, machine learning at
scale and OSINT
Statistical criteria to evaluate intelligence
Open data practices and open source intelligence
Novel applications in robotics and computer science, cryptography,
climate change, environment and health among others.
Papers selected for publication will be presented at a multi-paper
discussion meeting held at the RSS International Conference in
Edinburgh, UK, in September 2025, and subsequently published in one of
the series of Journal of the Royal Statistical Society (JRSS), together
with all contributions to the discussion at the meeting itself or
submitted in writing shortly afterwards. All submitted papers are
refereed, both for their scientific quality and their potential to
generate discussion. Papers that meet the first criterion but not the
second may, with the agreement of the authors, be referred to the
editors of the Journal for review as a regular paper.
Submitted papers should be substantially shorter than is typical for a
single‐paper discussion meeting (16 pages max. including references but
excluding supplementary material, following standard JRSS formatting
instructions). We shall employ a two-step process to expedite the peer
review process.
Full details are as follows:
Abstract submission. Authors are invited to send a single‐page
abstract (400 words max) of their proposed paper to Judith Shorten, RSS
Journals Manager (journal[at]rss.org.uk) by 16 July 2024.
Full paper submission. Notification of accepted abstracts will be
made by 31 July 2024 together with an invitation to submit a full paper.
Full papers (16 pages max) should then be submitted via manuscript
central to the most appropriate journal series (A, B or C) selecting the
“Discussion Paper” option. The deadline for full paper submission is 30
November 2024.
Refereeing. All papers received by 30 November 2024 will be
refereed using the Society’s standard criteria for discussion meeting
papers (scientific quality and potential to generate discussion).
Final versions of accepted papers will be ready for pre‐printing by
mid‐2025.
Informal enquiries about the call can be made by email to the Discussion
Papers Editor, Adam Sykulski at adam.s...@imperial.ac.uk.
--
Prof. Adam M. Johansen, Department of Statistics, University of Warwick, CV4 7AL
We stand with Ukraine.
available data sources such as academic publications, journals, social
media sites, online communities, and newspapers, among others. OSINT was
developed for espionage purposes during the Second World War and gained
popularity in the modern era as a result of the internet revolution,
which has resulted in the accumulation of massive amounts of data on the
Internet. The integration of artificial intelligence with OSINT, as well
as its role in cyber security are both issues of present day research
which is in need of improved statistical foundations and contributions.
Text mining, pattern matching, entity extraction, natural language
processing, machine learning, distributed learning, complex networks,
cloud computing, and big data have either made significant contributions
to modern OSINT or are developing in its relation. Precision,
reliability, promptness, and, most importantly, gaining a competitive
advantage are the criteria for evaluating intelligence, including OSINT
(Benes, 2013; Yogish Pai et al., 2021).
Motivated by the importance of the topic and the statistical issues it
raises, the RSS Discussion Meetings Committee, along with the RSS
Sections on Emerging Applications and Computational Statistics and
Machine Learning, are jointly inviting submissions of discussion papers
on open source intelligence from a statistical perspective. These papers
can cover any methodological or applied aspect or theoretical
underpinning on the topic. Examples of topics of interest include (but
are not restricted to):
Differential privacy and local differential privacy approaches
Open source intelligence in the age of artificial intelligence
Cybersecurity and open source intelligence
Cloud computing and computational aspects of OSINT
Statistical and mathematical properties of OSINT algorithms
OSINT algorithms and machine learning
Generalisation, fairness, unbalanced data, machine learning at
scale and OSINT
Statistical criteria to evaluate intelligence
Open data practices and open source intelligence
Novel applications in robotics and computer science, cryptography,
climate change, environment and health among others.
Papers selected for publication will be presented at a multi-paper
discussion meeting held at the RSS International Conference in
Edinburgh, UK, in September 2025, and subsequently published in one of
the series of Journal of the Royal Statistical Society (JRSS), together
with all contributions to the discussion at the meeting itself or
submitted in writing shortly afterwards. All submitted papers are
refereed, both for their scientific quality and their potential to
generate discussion. Papers that meet the first criterion but not the
second may, with the agreement of the authors, be referred to the
editors of the Journal for review as a regular paper.
Submitted papers should be substantially shorter than is typical for a
single‐paper discussion meeting (16 pages max. including references but
excluding supplementary material, following standard JRSS formatting
instructions). We shall employ a two-step process to expedite the peer
review process.
Full details are as follows:
Abstract submission. Authors are invited to send a single‐page
abstract (400 words max) of their proposed paper to Judith Shorten, RSS
Journals Manager (journal[at]rss.org.uk) by 16 July 2024.
Full paper submission. Notification of accepted abstracts will be
made by 31 July 2024 together with an invitation to submit a full paper.
Full papers (16 pages max) should then be submitted via manuscript
central to the most appropriate journal series (A, B or C) selecting the
“Discussion Paper” option. The deadline for full paper submission is 30
November 2024.
Refereeing. All papers received by 30 November 2024 will be
refereed using the Society’s standard criteria for discussion meeting
papers (scientific quality and potential to generate discussion).
Final versions of accepted papers will be ready for pre‐printing by
mid‐2025.
Informal enquiries about the call can be made by email to the Discussion
Papers Editor, Adam Sykulski at adam.s...@imperial.ac.uk.
--
Prof. Adam M. Johansen, Department of Statistics, University of Warwick, CV4 7AL
We stand with Ukraine.
Reply all
Reply to author
Forward
0 new messages