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Part of FLoC Live complexity and termination competition during the workshop. Every one or two years.

Transactions on Computational Systems Biology V Lecture Notes in Computer Science

HCVS RTCSA Also a work-in-Progress Session. Deadline extension: 1 week , 9 days , 18 days , 9 days , strict Selected papers will be recommended for submission of extended versions to the special issues of journals, such as the ACM Transactions on Cyber Physical Systems application in progress. The authors of the paper that will present the most interesting open problem will be rewarded with an IPad sponsored by Inria.


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SYNT Satellite event of FLoC. Deadline extension: 10 days , 2 weeks Extended versions of a selection of accepted submissions will form the basis of a special issue of Acta Informatica, to be published after the workshop. ISSRE Authors will have a chance to rebut the reviews within words over the period of 28th June to July 1st. Deadline extension: 9 days , 7 days EuroMPI September 23—26, Barcelona, Spain.

Deadline extension: 1 week , 8 days , 2 weeks , 28 days , 3 weeks Warning: notification date extended after submission, and without notice FMCAD WAMCA APLAS EPEW ACOMP Deadline extension: 1 week in , 20 days in and notification extended by 10 days. POPL Double blind submission. SBMF A special issue of Science of Computer Programming Elsevier will publish the best papers. LPAR EPiC Series in Computing free access, authors keep their rights.

In conjunction with RTNS. Must be co-authored by at least one junior PhD student or post-doc researcher. Deadline postponed 2 days in , 1 week in , 6 days in including notification deadline ,??? Deadline extensions: 15 days Every two years? MLCSB A journal Special Issue, with extended and revised versions of selected papers, is currently under negotiation. Deadline extension: 10 days WISTP VMCAI January 13—15, Lisbon, Portugal. Co-located with POPL. Deadline extension: 5 days in , 7 days in , 10 days in ICPE The highest quality papers, judged by multiple relevant factors, will be recognized with an award.

Authors of selected papers will be invited to submit an extended version of their work to a journal. RTAS Part of the Cyber-Physical Systems Week. Firm deadline in , , Rebuttal: 3—7 December ICCPS Regular papers, tool papers, and short papers presented at the conference will be submitted to the ACM Digital Library. Fast Abstracts will be published as a Technical Report. Fast Abstract Submissions: 22nd July Note: no edition in FSEN May 1—3, Tehran, Iran.

Optional abstract submission. Claim from the conference that no one ever got visa problems in Iran. Deadline extension: 2 weeks WWW Many different calls posters, demos, PhD symposium, workshops, tutorials….

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Deadlines all Hawaii Standard Time. Acceptance rate : AAMAS ACM free access, but authors lose their rights. NFM No registration fees. Deadline extension: 8 days , 2 days , 21 days , 3 days HSB ETAPS workshop. Deadline extension: 8 days , 19 days Tool papers require the submission of an executable artifact that contains clear instructions for the reviewer on how to run the tool. LICS Papers authored or co-authored by members of the program committee are not allowed.

Deadlines are firm. Full versions of up to three accepted papers, to be selected by the program committee, will be invited for submission to the Journal of the ACM. Additional selected papers will be invited to a special issue of Logical Methods in Computer Science. An award in honor of the late Stephen C. Kleene will be given for the best student paper s , as judged by the program committee.

RSSRail FormaliSE ISORC SNR TASE Optional abstract submission deadline. The authors of selected papers will be invited after the symposium to submit an extended version to a special issue at Science of Computer Programming SCP. Often in China. CAV Springer LNCS open access, authors keep their rights. Deadlines are AoE. Open access since Rebuttal phase 25—27 March Tool papers require a concurrent artifact submission together with the paper submission. Artifact evaluation occurs concurrently with the review process and the PC gets access to the artifact evaluation during the PC discussions.

ECRTS QAPL Ongoing work will not be published. A special issue in a renowned international journal is planned in case of a sufficient number of high quality submissions. Cancelled in ACSD Co-located with Petri Nets. SynCoP April 6 and 7, Prague, Czech Republic. Deadline extension: 2 weeks , , Since , SynCoP moved to informal presentations and invited talks only no formal proceedings.

ICALP Best paper and best student paper awards for each track 3 of the conference. Open science policy. Also tutorials, doctoral symposium, tool demos and others.

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Author response period: April 26 — 29, FORTE June , Lyngby, Denmark. The best papers will be invited after the conference to contribute to a special issue of LMCS. Deadline extension: 4 weeks , 2 weeks , , , MT-CPS PDF free access, authors keep their rights. ARCH EasyChair EPiC series free access, authors keep their rights. Part of CPSWeek. The paper with the most promising benchmark results receives a prize of Euros sponsored by Robert Bosch GmbH, Germany.

The winner is preselected by the program committee and determined by an audience voting.

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Free of charge in Deadline extension: 19 days. IJCAI August , Macao, China. AAAI Press free access, but authors lose their rights. Double-blind submission. Rebuttal period: April , Authors lose their rights, but proceedings e.

Every two years until , then became yearly. CSF Best papers invited in a special issue of a safety-related international journal. Deadline extension 10 days , , 14 days , 10 days FVSBS SPLC PNSE AFADL GraMSec SPIN Best Paper awards will be given and announced at the conference. FCT August 11—14, Copenhagen, Denmark. Biennial conference.

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Best paper award and best student paper award. CMSB Please note, this blogpost aims to emphasize the practical use and limitations of Data Science methods and not be a scientific plea for either method. There is an active discussion though on the third computational science [5], [6] and fourth data science [3] paradigm of science, their pros and cons [7], [8]. Next, it this post reflects my literature backed personal opinion. Let me state clearly, I do think Data Science matters, but in this blogpost advocate that data scientists should also look beyond their scope and be aware that for some data driven problems Computational Science may be a more suitable.

Before going into the limitations, we need to have a clear understanding of how we define both fields of science. These literature based definitions reflect what I think Data Science and Computational Science involve. In this blogpost I refer at Data Science as the Art of generating insight, knowledge and predictions by applying methods on datasets[9]. This definition leaves out the part of Computational Science that involves computational complexity and high performance computing.

From these definitions is may be clear that there is a significant overlap between both sciences see Fig1 below [8]. In fact, data driven approach to modelling intertwines both fields of sciences [11]. Yet, the differences can be found in the focus of both: Computational sciences focuses on development of causal models rather than extracting patterns or knowledge from data by statistical models, while this is what Data Science is all about.

There are several limitations of the Data Science approach to problem solving mentioned that have been addressed [5]. In data science, we do not aim to understand the system, even if we are able to make predictions from the data that the system generates. The question is, is this needed?

Moreover, an often heard comment on the use of machine learning is that we do not really understand the insides of this piece of machinery. Again the question is, is this really a bad thing? This point taken, do we need to understand the dynamics of a system to be able to make predictions of future states of a system?

Maybe this is valid as long as the data scientist is able to distinguish the spurious correlations from the real correlations [14]. But this requires at least implicit treatment of the results of any Data Science model in line with the domain knowledge of the data scientist. On a more abstract level this implies that data scientists at lease use a mental model of how a system would behave.

Making this explicit during Data Science projects may increase correctness and reproducibility [15]. But Perhaps most important, by definition data contains limited information on the behavior in the system, since data is result of what is measured and thus an aggregation of the dynamics that result in this data. We should therefore wonder what dynamics are beyond the measured results[6].

Transactions on Computational Science XXXI

For example, is we research customer retention by gathering contract data, the individual decision process of a customer that results in a decision is not measured. If we would be able to measure HOW customers make decisions by stated preferences, we may exclude other factors such as gut feeling. There is always a deeper level underneath the data that is not part of what is measured. Now, from this idea of dynamics underlying the data we immediately see that if these dynamics change, then the data will change as well. As such, Data Science based predictions work only if the future is fundamentally like the past [5], and even this is the case then only valid within range [4].

Typically, many systems in which behavior plays role contain tipping points and regime changes in which the dynamics that generate the data fundamentally change as well. We call these system complex systems in which the complexity lies in the inability to predict future states of the system based on knowledge of its current state [16], [17] ,. In the next section I will provide several illustrations of what insight Data Science may reveal in these systems and how Computational Science extends these insights.

Let the system be a system of supply and demand which resources are transferred from the supply side to the demand side. For example, a shop and customers, ships and havens, predator pray systems in ecology. Typically in these systems the data contains transactions between both sides of the system. In CICS , an instance of a particular transaction request by a computer operator or user is called a task.

Less frequently and in other computer contexts, a transaction may have a different meaning. For example, in IBM mainframe operating system batch processing, a transaction is a job or a job step. Please check the box if you want to proceed. Organizations need to align their customer strategy with their technology and know how to gather and use the right customer data Engagement with customers inevitably yields a trove of sensitive data.

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