CALL FOR PAPERS
================
International Workshop on Artificial Intelligence Technologies for Legal
Documents (AI4LEGAL2020)
In the context of the International Semantic Web Conference 2020 (ISWC 2020)
Virtual Event
November 2 or 3, 2020
http://ai.di.uoa.gr/#iswc20-workshop
Legislation applies to every aspect of people’s living and evolves
continuously building a huge network of
interlinked legal documents. Therefore, it is important for a government to
offer services that make legislation
easily accessible to the citizens aiming at informing them, enabling them
to defend their rights, or to use
legislation as part of their job. It is equally important to have law
professionals (lawyers, judges, etc.)
access legislation in ways that allow them to do their job easily (e.g.,
they might need to be able to see
the evolution of a law over time). Finally, in the age of the Web, it is
important to enable software developers
to develop applications for citizens and law professionals easily, by
connecting the available laws with other
kinds of government or private sector information. Towards this direction,
there are already many countries in
Europe and elsewhere that have computerized the legislative process by
developing platforms for archiving legislation
documents and offering on-line access to them using standards such as Akoma
Ntoso (aka LegalDocML) which is an OASIS
standard, the European standard CEN-MetaLex, the European Legislation
Identifier, the European Case Law Identifier etc.
There also private companies (e.g., ROSS Intelligence, LexisNexis, RAVEL,
LexMachina etc.) that specialize on providing
digital services for law, case law, compliance, contracts, etc. The vision
of the AI4LEGAL international workshop is
to bring together Artificial Intelligence researchers and practitioners to
work on the problem of digitization of
legislation and legal documents in today’s interconnected world.
Topics of Interest
===================
Topics of interest include, but are not limited to:
-Natural language processing techniques for legal documents
-Legal knowledge graphs
-Knowledge representation and reasoning techniques for legal documents
-Explainable AI for legal documents
-Linked data for legal documents
-Machine learning techniques for legal documents
-Scalable deep learning techniques for legal text analytics
-Question answering for legal documents
-Chatbots for legal documents
-Language resources for digital legal document research and development
-National or international initiatives and digital platforms for legislation
-Multilingualism
-Specific application areas (legislation, judicial decisions, case law,
compliance, contracts)
Submissions
===========
Contributions to the workshop can be made in terms of long or short papers.
Long papers should be at most 16 pages
including references. Short papers should be of at most 8 pages including
references. All contributions should be
prepared in PDF format and should be submitted through the workshop
submission site.
-All papers and abstracts have to be submitted electronically via
https://easychair.org/conferences/?conf=ai4legal2020
-All submissions must be in English.
-Submissions must be in PDF formatted in the style of the Springer
Publications format for Lecture
Notes in Computer Science (LNCS). For details on the LNCS style, see
Springer’s Author Instructions.
-Accepted papers will be published as AI4LEGAL workshop proceedings. At
least one author of each accepted paper must register
for the workshop to present the paper.
-The proceedings of the workshop will be made publicly available before the
workshop on the
platform http://ceur-ws.org/
Important Dates
===============
Activities |Due Date
--------------------------------------------
Papers due |August 17, 2020
Notification of acceptance or rejection |September 11, 2020
Camera ready paper due |September 25, 2020
All deadlines are midnight Athens time (GMT+2).
Workshop Format
===============
The workshop will follow the traditional format (invited talks,
presentations by paper authors, questions from the audience)
but will encourage discussion and identification of open issues by giving
enough time for questions after presentations.
Venue
======
There is no physical venue. The workshop will be held on-line like the rest
of ISWC 2020.
Program Chairs
===============
Grigoris Antoniou, University of Huddersfield, United Kingdom (
G.Antoniou(a)hud.ac.uk, https://pure.hud.ac.uk/en/persons/grigoris-antoniou)
Guido Governatori, Data 61 CSIRO, Australia (
Guido.Governatori(a)data61.csiro.au,
http://www.governatori.net/research/index.html)
Manolis Koubarakis, National and Kapodistrian University of Athens and
Leader of Nomothesia project, Greece (koubarak(a)di.uoa.gr,
http://cgi.di.uoa.gr/~koubarak/)
Elena Montiel Ponsoda, Universidad Politécnica de Madrid, Spain (
emontiel(a)fi.upm.es,
http://mayor2.dia.fi.upm.es/oeg-upm/index.php/en/teachers/52-emontiel/)
Eleni Tsalapati, National and Kapodistrian University of Athens, Greece (
etsalapati(a)lboro.ac.uk)
Program Committee
==================
Nikolaos Aletras, University of Sheffield, United Kingdom
Ion Androutsopoulos, Athens University of Economics and Business, Greece
Karim Benyekhlef, Cyberjustice Laboratory, University of Montreal, Canada
Ilias Chalkidis, Athens University of Economics and Business and NCSR
Demokritos, Greece
Jack G. Conrad, Thomson Reuters, United States of America
Randy Goebel, University of Alberta and ROSS Intelligence, Canada
Martin Kaltenböck, Semantic Web Company, Austria
George Karvelis, Ministry of Digital Governance and European Public Law
Organization, Greece
John P. McCrae, Insight Centre for Data Analytics, NUI Galway, Ireland
Marc van Opijnen, Publications Office of the Netherlands and European Case
Law Identifier expert group, The Netherlands
Jeff Z. Pan, The University of Aberdeen, UK
Víctor Rodríguez-Doncel, Universidad Politécnica de Madrid, Spain
Pompeu Casanovas Romeu, Autonomous University of Barcelona, Spain, and La
Trobe University, Australia
Ken Satoh, National Institute of Informatics and Sokendai, Japan
Clara Smith, Universidad Nacional de La Plata, Argentina
Martin Theobald, University of Luxembourg, Luxembourg
Leon van de Torre, University of Luxembourg, Luxembourg
John Zeleznikow, Victoria University, Australia
Call For Paper 2020 IEEE International Conference on Bioinformatics and
Biomedicine (IEEE BIBM 2020) December 16-19, 2020,
https://ieeebibm.org/BIBM2020/
*IEEE BIBM 2020 – Now Taking Place Virtually*
The safety and well-being of all conference participants is our priority.
After evaluating the current COVID-19 situation, the decision has been made
to transform the in-person component of IEEE BIBM 2020 into an all-digital
conference experience – IEEE BIBM 2020 will now be an online event.
Therefore, IEEE BIBM 2020 will no longer take place in Seoul, South Korea
and will instead take place virtually. The conference dates remain the same
– December 16-19, 2020. Proceedings will not be cancelled, and publications
will continue as planned.
The IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
has established itself as the premier research conference in bioinformatics
and biomedicine. IEEE BIBM 2020 provides a leading forum for disseminating
the latest research in bioinformatics and health informatics. It brings
together academic and industrial scientists from computer science, biology,
chemistry, medicine, mathematics and statistics.
We solicit high-quality original research papers (including significant
work-in-progress) in any aspect of bioinformatics, genomics, and
biomedicine. New computational techniques and methods and their application
in life science and medical domains are especially encouraged. Relevant
topics include but are not limited to:
*1. Bioinformatics and Computational Biology of Molecular Structure,
Function and Evolution*
1.a. Evolution, Phylogeny, Comparative Genomics
1.b. Protein/RNA Structure, Function and Interactions
1.c. 3D genome
*2. Computational Systems Biology*
2.a. Pathway Analysis
2.b. Biological Network Analysis
2.c. Interactomics
2.d. Gene Expression and Regulation
2.e. Post-translational Modifications
2.f. Alternative Splicing
2.g. Non-coding RNA Analysis
*3. Next Generation Sequencing and High-throughput Methods*
3.a. Next-Gen Sequencing
3.b. Microarray Data Analysis
3.c. SNPs and Haplotype Analysis, GWAS, Personalized Genomics
3.d. Transcriptomics
3.e. Metabolomics
3.f. Proteomics
3.g. Epigenomics
*4. Cheminformatics and pharmacogenomics*
4.a. Cheminformatics and Computer-Aided Drug Design
4.b. Molecular Docking
4.c. Molecular Modeling
4.d. Pharmacogenomics
*5. Cross-Cutting Computational Methods and Bioinformatics of Disease*
5.a. Data Mining, Machine Learning, and Artificial Intelligence
5.b. Big Data Analytics
5.c. High Performance Computing
5.d. Information Retrieval, Ontologies, Natural Language Processing, and
Text Mining
5.e. Data Visualization
5.f. Computational Modeling and Data Integration
5.g. Precision Medicine
5.h. Genome-Phenome Analysis
5.i. Biomarker Discovery
5.j. Pathogen bioinformatics
*6. Biomedical and Health Informatics*
6.a. Data Mining, Machine Learning, and Artificial Intelligence
6.b. Big Data Analytics
6.c. Information Retrieval, Ontologies, Natural Language Processing, and
Text Mining
6.d. Biomedical Image Analysis
6.e. Biomedical Signal Analysis
6.f. Healthcare Knowledge Representation & Reasoning
6.g. Data Visualization
6.h. Data Interoperability and Health Information Exchange
6.i. Human-computer Interaction and Human Factors
6.j. Clinical and Health Information Systems
6.k. Consumer Informatics and Personal Health Records
6.l. Electronic Medical/Health Records and Standards
6.m. Mobile Health
6.n. Clinical Decision Support
INDUSTRIAL Track
The Industrial Track solicits papers describing implementations of
Bioinformatics and Biomedicine solutions relevant to industrial settings.
The focus of industry track is on papers that address the practical,
applied, or pragmatic or new research challenge issues related to the use
of bioinformatics and biomedicine technologies in industry. We accept full
papers (up to 8 pages), extended abstracts (2-4 pages), as well as short
abstracts (1 page, 500 words).
Journal special issues
IEEE BIBM has a tradition to publish selected papers as special issues in
highly respected journals. We will publish the special issues publications
with many journals:
- IEEE Transactions on NanoBiosceince
- IEEE/ACM Transactions on Bioinformatics and Computational Biology
- International Journal of Data Mining and Bioinformatics
- Methods
- BMC Genomics
- BMC Bioinformatics
- BMC Complementary and Alternative Medicine
- BMC Bioinformatics
- BMC Medical Genomics
- BMC Human Genomics
- Mathematical Biosciences and Engineering journal
In the past BIBM conferences, the number of special issues are:
- BIBM 2019: 10 Special issues
- BIBM 2018: 11 special issues
- BIBM 2017: 9 special issues
- BIBM 2016: 9 special issues
- BIBM 2015: 9 special issues
- BIBM 2014: 10 special issues
- BIBM 2013: 9 special issues
- BIBM 2012: 8 special issues
- BIBM 2011: 8 special issue
- BIBM 2010: 7 special issues
- BIBM 2009: 4 special issues
- BIBM 2008: 4 special issues
Student Travel Award
BIBM 2020 will offer as many as possible student travel awards to student
authors (including post-doc).
- BIBM 2019: 35 Student travel Awards
- BIBM 2018: 25 student travel awards
- BIBM 2017: 20 student travel awards
- BIBM 2016: 36 student travel awards
- BIBM 2015: 30 student travel awards
- BIBM 2014: 25 student travel awards
- BIBM 2013: 40 student travel awards
- BIBM 2012: 30 student travel awards
- BIBM 2011: 28 student travel awards
- BIBM 2010: 22 student travel awards
- BIBM 2009: 16 student travel awards
Paper Submission
Please submit a full-length paper (up to 8 page IEEE 2-column format)
through the online submission system (you can download the format
instruction here (
http://www.ieee.org/conferences_events/conferences/publishing/templates.html)
Electronic submissions (in PDF or Postscript format) are required. Selected
participants will be asked to submit their revised papers in a format to be
specified at the time of acceptance.
Online Submission: https://wi-lab.com/cyberchair/2020/bibm20/index.php
Important Dates
- Electronic submission of full papers: Sept 1, 2020
- Notification of paper acceptance: Oct 30, 2020
- Camera-ready of accepted papers: Nov 18, 2020
- Conference: Dec. 16-19, 2020
########################################################################
To unsubscribe from the DMB-LIST list, click the following link:
http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NjY3IHNlbS1ncmRAT0dGLk9SRyBET…
*Call for Papers*
*2020 IEEE International Conference on Big Data (IEEE BigData 2020)*
http://bigdataieee.org/BigData2020/
December 10-13, 2020,
*IEEE BigData 2020 – Now Taking Place Virtually*
The safety and well-being of all conference participants is our priority.
After evaluating the current COVID-19 situation, the decision has been made
to transform the in-person component of IEEE BigData 2020 into an
all-digital conference experience – IEEE BigData 2020 will now be an online
event. Therefore, IEEE BigData 2020 will no longer take place in Atlanta,
Georgia, US and will instead take place virtually. The conference dates
remain the same – December 10-13, 2020. Proceedings will not be cancelled,
and publications will continue as planned.
In recent years, “Big Data” has become a new ubiquitous term. Big Data is
transforming science, engineering, medicine, healthcare, finance, business,
and ultimately our society itself. The IEEE Big Data conference series
started in 2013 has established itself as the top tier research conference
in Big Data.
· The first conference IEEE Big Data 2013 had more than 400
registered participants from 40 countries (
http://bigdataieee.org/BigData2013/) and the regular paper acceptance rate
is 17.0%.
· The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ ,
regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13,
2018 with close to 1100 registered participants from 47 countries.
· The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ ,
regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec
9-12, 2019 with close to 1200 registered participants from 54 countries.
The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will
continue the success of the previous IEEE Big Data conferences. It will
provide a leading forum for disseminating the latest results in Big Data
Research, Development, and Applications.
We solicit high-quality original research papers (and significant
work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs
(Volume, Velocity, Variety, Value and Veracity), including the Big Data
challenges in scientific and engineering, social, sensor/IoT/IoE, and
multimedia (audio, video, image, etc.) big data systems and applications. The
conference adopts single-blind review policy. We expect to have a very high
quality and exciting technical program at Seattle this year. *Example
topics of interest includes but is not limited to the following*:
1. Big Data Science and Foundations
a. Novel Theoretical Models for Big Data
b. New Computational Models for Big Data
c. Data and Information Quality for Big Data
d. New Data Standards
2. Big Data Infrastructure
a. Cloud/Grid/Stream Computing for Big Data
b. High Performance/Parallel Computing Platforms for Big Data
c. Autonomic Computing and Cyber-infrastructure, System Architectures,
Design and Deployment
d. Energy-efficient Computing for Big Data
e. Programming Models and Environments for Cluster, Cloud, and Grid
Computing to Support Big Data
f. Software Techniques and Architectures in Cloud/Grid/Stream Computing
g. Big Data Open Platforms
h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i. Software Systems to Support Big Data Computing
3. Big Data Management
a. Search and Mining of variety of data including scientific and
engineering, social, sensor/IoT/IoE, and multimedia data
b. Algorithms and Systems for Big DataSearch
c. Distributed, and Peer-to-peer Search
d. Big Data Search Architectures, Scalability and Efficiency
e. Data Acquisition, Integration, Cleaning, and Best Practices
f. Visualization Analytics for Big Data
g. Computational Modeling and Data Integration
h. Large-scale Recommendation Systems and Social Media Systems
i. Cloud/Grid/Stream Data Mining- Big Velocity Data
j. Link and Graph Mining
k. Semantic-based Data Mining and Data Pre-processing
l. Mobility and Big Data
m. Multimedia and Multi-structured Data- Big Variety Data
4. Big Data Search and Mining
a. Social Web Search and Mining
b. Web Search
c. Algorithms and Systems for Big Data Search
d. Distributed, and Peer-to-peer Search
e. Big Data Search Architectures, Scalability and Efficiency
f. Data Acquisition, Integration, Cleaning, and Best Practices
g. Visualization Analytics for Big Data
h. Computational Modeling and Data Integration
i. Large-scale Recommendation Systems and Social Media Systems
j. Cloud/Grid/StreamData Mining- Big Velocity Data
k. Link and Graph Mining
l. Semantic-based Data Mining and Data Pre-processing
m. Mobility and Big Data
n. Multimedia and Multi-structured Data- Big Variety Data
5. Ethics, Privacy and Trust in Big Data Systems
a. Techniques and models for fairness and diversity
b. Experimental studies of fairness, diversity, accountability, and
transparency
c. Techniques and models for transparency and interpretability
d. Trade-offs between transparency and privacy
e. Intrusion Detection for Gigabit Networks
f. Anomaly and APT Detection in Very Large Scale Systems
g. High Performance Cryptography
h. Visualizing Large Scale Security Data
i. Threat Detection using Big Data Analytics
j. Privacy Preserving Big Data Collection/Analytics
k. HCI Challenges for Big Data Security & Privacy
l. Trust management in IoT and other Big Data Systems
6. Hardware/OS Acceleration for Big Data
a. FPGA/CGRA/GPU accelerators for Big Data applications
b. Operating system support and runtimes for hardware accelerators
c. Programming models and platforms for accelerators
d. Domain-specific and heterogeneous architectures
e. Novel system organizations and designs
f. Computation in memory/storage/network
g. Persistent, non-volatile and emerging memory for Big Data
h. Operating system support for high-performance network architectures
7. Big Data Applications
a. Complex Big Data Applications in Science, Engineering, Medicine,
Healthcare, Finance, Business, Law, Education, Transportation, Retailing,
Telecommunication
b. Big Data Analytics in Small Business Enterprises (SMEs),
c. Big Data Analytics in Government, Public Sector and Society in
General
d. Real-life Case Studies of Value Creation through Big Data Analytics
e. Big Data as a Service
f. Big Data Industry Standards
g. Experiences with Big Data Project Deployments
*INDUSTRIAL Track*
The Industrial Track solicits papers describing implementations of Big Data
solutions relevant to industrial settings. The focus of industry track is
on papers that address the practical, applied, or pragmatic or new research
challenge issues related to the use of Big Data in industry. We accept full
papers (up to 10 pages) and extended abstracts (2-4 pages).
*Student Travel Award*
IEEE Big Data 2020 will offer* student travel *to student authors
(including post-docs)
*Paper Submission:*
Please submit a full-length paper (up to *10 page IEEE 2-column format*)
through the online submission system.
https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=BigD
Papers should be formatted to IEEE Computer Society Proceedings Manuscript
Formatting Guidelines (see link to "formatting instructions" below).
*Formatting Instructions*
8.5" x 11" (DOC
<ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc>,
PDF
<ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf>)
*LaTex Formatting Macros*
<ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.…>
*Important Dates:*
Electronic submission of full papers: August 19, 2020
Notification of paper acceptance: Oct 16, 2020
Camera-ready of accepted papers: Nov 10, 2020
Conference: Dec 10-13, 2020
########################################################################
To unsubscribe from the BIGDATA list, click the following link:
http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NjY3IHNlbS1ncmRAT0dGLk9SRyBCS…
*Call for Papers*
*2020 IEEE International Conference on Big Data (IEEE BigData 2020)*
http://bigdataieee.org/BigData2020/
December 10-13, 2020,
*IEEE BigData 2020 – Now Taking Place Virtually*
The safety and well-being of all conference participants is our priority.
After evaluating the current COVID-19 situation, the decision has been made
to transform the in-person component of IEEE BigData 2020 into an
all-digital conference experience – IEEE BigData 2020 will now be an online
event. Therefore, IEEE BigData 2020 will no longer take place in Atlanta,
Georgia, US and will instead take place virtually. The conference dates
remain the same – December 10-13, 2020. Proceedings will not be cancelled,
and publications will continue as planned.
In recent years, “Big Data” has become a new ubiquitous term. Big Data is
transforming science, engineering, medicine, healthcare, finance, business,
and ultimately our society itself. The IEEE Big Data conference series
started in 2013 has established itself as the top tier research conference
in Big Data.
· The first conference IEEE Big Data 2013 had more than 400
registered participants from 40 countries (
http://bigdataieee.org/BigData2013/) and the regular paper acceptance rate
is 17.0%.
· The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ ,
regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13,
2018 with close to 1100 registered participants from 47 countries.
· The IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ ,
regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec
9-12, 2019 with close to 1200 registered participants from 54 countries.
The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) will
continue the success of the previous IEEE Big Data conferences. It will
provide a leading forum for disseminating the latest results in Big Data
Research, Development, and Applications.
We solicit high-quality original research papers (and significant
work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs
(Volume, Velocity, Variety, Value and Veracity), including the Big Data
challenges in scientific and engineering, social, sensor/IoT/IoE, and
multimedia (audio, video, image, etc.) big data systems and applications. The
conference adopts single-blind review policy. We expect to have a very high
quality and exciting technical program at Seattle this year. *Example
topics of interest includes but is not limited to the following*:
1. Big Data Science and Foundations
a. Novel Theoretical Models for Big Data
b. New Computational Models for Big Data
c. Data and Information Quality for Big Data
d. New Data Standards
2. Big Data Infrastructure
a. Cloud/Grid/Stream Computing for Big Data
b. High Performance/Parallel Computing Platforms for Big Data
c. Autonomic Computing and Cyber-infrastructure, System Architectures,
Design and Deployment
d. Energy-efficient Computing for Big Data
e. Programming Models and Environments for Cluster, Cloud, and Grid
Computing to Support Big Data
f. Software Techniques and Architectures in Cloud/Grid/Stream Computing
g. Big Data Open Platforms
h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i. Software Systems to Support Big Data Computing
3. Big Data Management
a. Search and Mining of variety of data including scientific and
engineering, social, sensor/IoT/IoE, and multimedia data
b. Algorithms and Systems for Big DataSearch
c. Distributed, and Peer-to-peer Search
d. Big Data Search Architectures, Scalability and Efficiency
e. Data Acquisition, Integration, Cleaning, and Best Practices
f. Visualization Analytics for Big Data
g. Computational Modeling and Data Integration
h. Large-scale Recommendation Systems and Social Media Systems
i. Cloud/Grid/Stream Data Mining- Big Velocity Data
j. Link and Graph Mining
k. Semantic-based Data Mining and Data Pre-processing
l. Mobility and Big Data
m. Multimedia and Multi-structured Data- Big Variety Data
4. Big Data Search and Mining
a. Social Web Search and Mining
b. Web Search
c. Algorithms and Systems for Big Data Search
d. Distributed, and Peer-to-peer Search
e. Big Data Search Architectures, Scalability and Efficiency
f. Data Acquisition, Integration, Cleaning, and Best Practices
g. Visualization Analytics for Big Data
h. Computational Modeling and Data Integration
i. Large-scale Recommendation Systems and Social Media Systems
j. Cloud/Grid/StreamData Mining- Big Velocity Data
k. Link and Graph Mining
l. Semantic-based Data Mining and Data Pre-processing
m. Mobility and Big Data
n. Multimedia and Multi-structured Data- Big Variety Data
5. Ethics, Privacy and Trust in Big Data Systems
a. Techniques and models for fairness and diversity
b. Experimental studies of fairness, diversity, accountability, and
transparency
c. Techniques and models for transparency and interpretability
d. Trade-offs between transparency and privacy
e. Intrusion Detection for Gigabit Networks
f. Anomaly and APT Detection in Very Large Scale Systems
g. High Performance Cryptography
h. Visualizing Large Scale Security Data
i. Threat Detection using Big Data Analytics
j. Privacy Preserving Big Data Collection/Analytics
k. HCI Challenges for Big Data Security & Privacy
l. Trust management in IoT and other Big Data Systems
6. Hardware/OS Acceleration for Big Data
a. FPGA/CGRA/GPU accelerators for Big Data applications
b. Operating system support and runtimes for hardware accelerators
c. Programming models and platforms for accelerators
d. Domain-specific and heterogeneous architectures
e. Novel system organizations and designs
f. Computation in memory/storage/network
g. Persistent, non-volatile and emerging memory for Big Data
h. Operating system support for high-performance network architectures
7. Big Data Applications
a. Complex Big Data Applications in Science, Engineering, Medicine,
Healthcare, Finance, Business, Law, Education, Transportation, Retailing,
Telecommunication
b. Big Data Analytics in Small Business Enterprises (SMEs),
c. Big Data Analytics in Government, Public Sector and Society in
General
d. Real-life Case Studies of Value Creation through Big Data Analytics
e. Big Data as a Service
f. Big Data Industry Standards
g. Experiences with Big Data Project Deployments
*INDUSTRIAL Track*
The Industrial Track solicits papers describing implementations of Big Data
solutions relevant to industrial settings. The focus of industry track is
on papers that address the practical, applied, or pragmatic or new research
challenge issues related to the use of Big Data in industry. We accept full
papers (up to 10 pages) and extended abstracts (2-4 pages).
*Student Travel Award*
IEEE Big Data 2020 will offer* student travel *to student authors
(including post-docs)
*Paper Submission:*
Please submit a full-length paper (up to *10 page IEEE 2-column format*)
through the online submission system.
https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=BigD
Papers should be formatted to IEEE Computer Society Proceedings Manuscript
Formatting Guidelines (see link to "formatting instructions" below).
*Formatting Instructions*
8.5" x 11" (DOC
<ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc>,
PDF
<ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf>)
*LaTex Formatting Macros*
<ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.…>
*Important Dates:*
Electronic submission of full papers: August 19, 2020
Notification of paper acceptance: Oct 16, 2020
Camera-ready of accepted papers: Nov 10, 2020
Conference: Dec 10-13, 2020
########################################################################
To unsubscribe from the BIGDATA list, click the following link:
http://lists.drexel.edu/cgi-bin/wa?TICKET=NzM3NjQzIHNlbS1ncmRAT0dGLk9SRyBCS…
Call For Paper 2020 IEEE International Conference on Bioinformatics and
Biomedicine (IEEE BIBM 2020) December 16-19, 2020,
https://ieeebibm.org/BIBM2020/
*IEEE BIBM 2020 – Now Taking Place Virtually*
The safety and well-being of all conference participants is our priority.
After evaluating the current COVID-19 situation, the decision has been made
to transform the in-person component of IEEE BIBM 2020 into an all-digital
conference experience – IEEE BIBM 2020 will now be an online event.
Therefore, IEEE BIBM 2020 will no longer take place in Seoul, South Korea
and will instead take place virtually. The conference dates remain the same
– December 16-19, 2020. Proceedings will not be cancelled, and publications
will continue as planned.
The IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
has established itself as the premier research conference in bioinformatics
and biomedicine. IEEE BIBM 2020 provides a leading forum for disseminating
the latest research in bioinformatics and health informatics. It brings
together academic and industrial scientists from computer science, biology,
chemistry, medicine, mathematics and statistics.
We solicit high-quality original research papers (including significant
work-in-progress) in any aspect of bioinformatics, genomics, and
biomedicine. New computational techniques and methods and their application
in life science and medical domains are especially encouraged. Relevant
topics include but are not limited to:
*1. Bioinformatics and Computational Biology of Molecular Structure,
Function and Evolution*
1.a. Evolution, Phylogeny, Comparative Genomics
1.b. Protein/RNA Structure, Function and Interactions
1.c. 3D genome
*2. Computational Systems Biology*
2.a. Pathway Analysis
2.b. Biological Network Analysis
2.c. Interactomics
2.d. Gene Expression and Regulation
2.e. Post-translational Modifications
2.f. Alternative Splicing
2.g. Non-coding RNA Analysis
*3. Next Generation Sequencing and High-throughput Methods*
3.a. Next-Gen Sequencing
3.b. Microarray Data Analysis
3.c. SNPs and Haplotype Analysis, GWAS, Personalized Genomics
3.d. Transcriptomics
3.e. Metabolomics
3.f. Proteomics
3.g. Epigenomics
*4. Cheminformatics and pharmacogenomics*
4.a. Cheminformatics and Computer-Aided Drug Design
4.b. Molecular Docking
4.c. Molecular Modeling
4.d. Pharmacogenomics
*5. Cross-Cutting Computational Methods and Bioinformatics of Disease*
5.a. Data Mining, Machine Learning, and Artificial Intelligence
5.b. Big Data Analytics
5.c. High Performance Computing
5.d. Information Retrieval, Ontologies, Natural Language Processing, and
Text Mining
5.e. Data Visualization
5.f. Computational Modeling and Data Integration
5.g. Precision Medicine
5.h. Genome-Phenome Analysis
5.i. Biomarker Discovery
5.j. Pathogen bioinformatics
*6. Biomedical and Health Informatics*
6.a. Data Mining, Machine Learning, and Artificial Intelligence
6.b. Big Data Analytics
6.c. Information Retrieval, Ontologies, Natural Language Processing, and
Text Mining
6.d. Biomedical Image Analysis
6.e. Biomedical Signal Analysis
6.f. Healthcare Knowledge Representation & Reasoning
6.g. Data Visualization
6.h. Data Interoperability and Health Information Exchange
6.i. Human-computer Interaction and Human Factors
6.j. Clinical and Health Information Systems
6.k. Consumer Informatics and Personal Health Records
6.l. Electronic Medical/Health Records and Standards
6.m. Mobile Health
6.n. Clinical Decision Support
INDUSTRIAL Track
The Industrial Track solicits papers describing implementations of
Bioinformatics and Biomedicine solutions relevant to industrial settings.
The focus of industry track is on papers that address the practical,
applied, or pragmatic or new research challenge issues related to the use
of bioinformatics and biomedicine technologies in industry. We accept full
papers (up to 8 pages), extended abstracts (2-4 pages), as well as short
abstracts (1 page, 500 words).
Journal special issues
IEEE BIBM has a tradition to publish selected papers as special issues in
highly respected journals. We will publish the special issues publications
with many journals:
- IEEE Transactions on NanoBiosceince
- IEEE/ACM Transactions on Bioinformatics and Computational Biology
- International Journal of Data Mining and Bioinformatics
- Methods
- BMC Genomics
- BMC Bioinformatics
- BMC Complementary and Alternative Medicine
- BMC Bioinformatics
- BMC Medical Genomics
- BMC Human Genomics
In the past BIBM conferences, the number of special issues are:
- BIBM 2018: 11 special issues
- BIBM 2017: 9 special issues
- BIBM 2016: 9 special issues
- BIBM 2015: 9 special issues
- BIBM 2014: 10 special issues
- BIBM 2013: 9 special issues
- BIBM 2012: 8 special issues
- BIBM 2011: 8 special issue
- BIBM 2010: 7 special issues
- BIBM 2009: 4 special issues
- BIBM 2008: 4 special issues
Student Travel Award
BIBM 2020 will offer as many as possible student travel awards to student
authors (including post-doc).
- BIBM 2019: 35 Student travel Awards
- BIBM 2018: 25 student travel awards
- BIBM 2017: 20 student travel awards
- BIBM 2016: 36 student travel awards
- BIBM 2015: 30 student travel awards
- BIBM 2014: 25 student travel awards
- BIBM 2013: 40 student travel awards
- BIBM 2012: 30 student travel awards
- BIBM 2011: 28 student travel awards
- BIBM 2010: 22 student travel awards
- BIBM 2009: 16 student travel awards
Paper Submission
Please submit a full-length paper (up to 8 page IEEE 2-column format)
through the online submission system (you can download the format
instruction here (
http://www.ieee.org/conferences_events/conferences/publishing/templates.html)
Electronic submissions (in PDF or Postscript format) are required. Selected
participants will be asked to submit their revised papers in a format to be
specified at the time of acceptance.
Online Submission: https://wi-lab.com/cyberchair/2020/bibm20/index.php
Important Dates
- Electronic submission of full papers: Sept 1, 2020
- Notification of paper acceptance: Oct 30, 2020
- Camera-ready of accepted papers: Nov 18, 2020
- Conference: Dec. 16-19, 2020
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