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  • Call for Papers

    Digital and computational solutions are becoming the prevalent means for the generation, communication, processing, storage and curation of mathematical information. Separate communities have developed to investigate and build computer based systems for computer algebra, automated deduction, and mathematical publishing as well as novel user interfaces. While all of these systems excel in their own right, their integration can lead to synergies offering significant added value. The Conference on Intelligent Computer Mathematics (CICM) offers a venue for discussing and developing solutions to the great challenges posed by the integration of these diverse areas.

    CICM has been held annually as a joint meeting since 2008, co-locating related conferences and workshops to advance work in these subjects. Previous meetings have been held in Birmingham (UK 2008), Grand Bend (Canada 2009), Paris (France 2010), Bertinoro (Italy 2011), Bremen (Germany 2012), Bath (UK 2013), and Coimbra (Portugal 2014).

    This is a call for papers for CICM 2015, which will be held in Washington, D.C., 13-17 July 2015.

    The principal tracks of the conference will be:

    Publicity chair is Serge Autexier. The local arrangements will be coordinated by the Local Arrangements Chairs, Bruce R. Miller (National Institute of Standards and Technology, USA) and Abdou Youssef (The George Washington University, Washington, D.C.), and the overall programme will be organized by the General Program Chair, Manfred Kerber (U. Birmingham, UK).

    We will have proceedings of the conference as in previous years with Springer Verlag as a volume in Lecture Notes in Artificial Intelligence (LNAI).

    As in previous years, it is anticipated that there will be a number co-located workshops, including one to mentor doctoral students giving presentations.

    Important Dates

    Conference submissions:

    Abstract submission deadline: 25 February 2015 (extended from 16 Feb)
    Submission deadline: 2 March 2015 (extended from 23 Feb)
    Reviews sent to authors: 6 April 2015
    Rebuttals due: 9 April 2015
    Notification of acceptance: 13 April 2015
    Camera ready copies due: 27 April 2015
    Conference: 13-17 July 2015

    Work-in-progress and Doctoral Programme submissions:

    Submission deadline:

    (Doctoral: Abstract+CV) 4 May 2015
    Notification of acceptance: 25 May 2015
    Camera ready copies due: 8 June 2015

    Track Calculemus: Symbolic Computation and Mechanised Reasoning

    Calculemus is dedicated to the integration of computer algebra systems (CAS) and systems for mechanized reasoning such as interactive proof assistants (PA) and automated theorem provers (ATP). Currently, symbolic computation is divided into several (more or less) independent branches: traditional ones (e.g., computer algebra and mechanized reasoning) as well as emerging ones (on user interfaces, knowledge management, theory exploration, symbolic execution, abstract interpretation, etc.) We wish to bring these developments together in order to facilitate the theory, design, and implementation of integrated systems. These systems should be convenient to use routinely by mathematicians, computer scientists and all others who need computer-supported mathematics in their daily work.

    All topics in the intersection of computer algebra systems and automated reasoning systems are of interest for Calculemus. These include but are not limited to:

    • Automated theorem proving in computer algebra systems.
    • Computer algebra and symbolic computation in theorem proving systems.
    • Adding reasoning capabilities to computer algebra systems.
    • Adding computational capabilities to theorem proving systems.
    • Theory, design and implementation of interdisciplinary systems for computer mathematics.
    • Case studies and applications that involve a mix of computation and reasoning.
    • Case studies in formalization of mathematical theories that include non-trivial computations.
    • Representation of mathematics in computer algebra systems.
    • Theory exploration techniques.
    • Combining methods of symbolic computation and formal deduction.
    • Input languages, programming languages, types and constraint languages, and modeling languages for mathematical assistant systems.
    • Homotopy type theory.
    • Infrastructure for mathematical services.

    Track DML: Digital Mathematical Libraries

    Mathematicians dream of a digital archive containing all validated mathematical literature ever published, reviewed, properly linked, and verified. It is estimated that the entire corpus of mathematical knowledge published over the centuries does not exceed 100,000,000 pages, an amount easily manageable by current information technologies.

    The track objective is to provide a forum for the development of math-aware technologies, standards, algorithms and formats for the fulfilment of the dream of a global digital mathematical library (DML). Computer scientists (D) and librarians of the digital age (L) are especially welcome to join mathematicians (M) and discuss many aspects of DML preparation.

    Track topics are all topics of mathematical knowledge management and digital libraries applicable in the context of DML building, including the processing of mathematical knowledge expressed in scientific papers in natural languages:

    • Math-aware text mining (math mining) and MSC classification
    • Math-aware representations of mathematical knowledge
    • Math-aware computational linguistics and corpora
    • Math-aware tools for [meta]data and fulltext processing
    • Math-aware OCR and document analysis
    • Math-aware information retrieval
    • Math-aware indexing and search
    • Authoring languages and tools
    • MathML, OpenMath, TeX and other mathematical content markup languages
    • Web interfaces for DML content
    • Mathematics on the web, math crawling and indexing
    • Math-aware document processing workflows
    • Archives of written mathematics
    • DML management, business models
    • DML rights handling, funding, sustainability
    • DML content acquisition, validation and curation

    Track MKM: Mathematical Knowledge Management

    Mathematical Knowledge Management is an interdisciplinary field of research in the intersection of mathematics, computer science, library science, and scientific publishing. The objective of MKM is to develop new and better ways of managing sophisticated mathematical knowledge, based on innovative technology of computer science, the Internet, and intelligent knowledge processing. MKM is expected to serve mathematicians, scientists, and engineers who produce and use mathematical knowledge; educators and students who teach and learn mathematics; publishers who offer mathematical textbooks and disseminate new mathematical results; and librarians and mathematicians who catalogue and organize mathematical knowledge.

    The track is concerned with all aspects of mathematical knowledge management. A non-exclusive list of important topics includes:

    • Representations of mathematical knowledge
    • Authoring languages and tools
    • Repositories of formalized mathematics
    • Deduction systems
    • Mathematical digital libraries
    • Diagrammatic representations
    • Mathematical OCR
    • Mathematical search and retrieval
    • Math assistants, tutoring and assessment systems
    • MathML, OpenMath, and other mathematical content standards
    • Web presentation of mathematics
    • Data mining, discovery, theory exploration
    • Computer algebra systems
    • Collaboration tools for mathematics
    • Challenges and solutions for mathematical workflows

    Track: Systems and Data

    The systems and data track provides a forum to publish digital resources whose value cannot be adequately represented by a printed paper alone. It aims at an exchange of ideas between developers and users in any area related to the CICM conferences.

    Systems can be for example stand-alone; plugins, libraries, or extensions of existing systems; or integrations of existing systems. Data can be for example formalizations; harvests or new processing of existing data; or case studies, test cases, or benchmark suites for systems.

    In either case, the primary evaluation criteria are the

    1. novelty,
    2. value, and
    3. usability,

    of the system/data and the

    1. clarity of the accompanying paper (up to 4 pages).

    Detailed comments:

    1. Resources are considered novel if they are not the primary focus of a previous archival publication or a concurrent submission. They may also be considered novel if they are substantially more mature than precursors that supported previous archival publications.
      It is possible to supplement a regular submission in another track with a system/data submission if both are valuable independently and can be reviewed and published separately. Authors must point this out in both submissions.
    2. The judgement of the value of a submission is at the discretion of the PC.
    3. Reviewers must be able to try out and use all systems/data conveniently. In particular,
      • the system/data must be available online with clear instructions for download, installation, etc. on the website,
      • the prerequisites (e.g., the system to process the data) must be clearly described on the website,
      • unusual prerequisites and non-default configurations should be bundled,
      • resources should be open source.
    4. Authors must accompany their submission with a printable paper that will appear in the proceedings. This paper should outline the motivation, design decisions, and applications of the system/data. It must include the online reference to the system/data, and examples, screenshots, etc. given in the paper must be consistent with the digital resource.

    Projects and Surveys

    CICM strongly encourages the submission of project and survey papers.

    Project papers (max. 4-15 pages, according to the scope and impact of the project) have a broader scope than regular papers (and consequently tend to present results at less depth). Papers on past projects may contain previously published results if their coherent presentation in a single paper provides new value. Papers on current projects may contain envisioned results if these are valuable to shape future research. Project papers can range from:

    • projects that are new or about to start,
    • ongoing projects that have not yet been presented to the CICM community, to
    • significant new developments in ongoing previously presented projects.

    Presentations of new projects should mention relevant previous work and include a roadmap that outlines concrete steps. All project submissions must have a live project website and should contain links to demos, videos, downloadable systems or downloadable datasets. Submission of descriptions of new projects are encouraged but would typically be classified as work in progress. We especially solicit for papers of long standing projects. Projects will be evaluated within the main tracks and will be published in the main proceedings.

    Survey papers (max. 15 pages) present a relevant research problem and discuss, compare, or evaluate historical and/or state-of-the-art solutions. Surveys should be as comprehensive and objective as possible. The discussed research may or may not include research by the authors of the survey.

    For project and survey papers, the PC will judge the merits of the paper on a case-by-case basis.

    Submission Instructions

    Electronic submission is done through EasyChair. All papers should be prepared in LaTeX and formatted according to the requirements of Springer's LNCS series (the corresponding style files can be downloaded from By submitting a paper the authors agree that if it is accepted at least one of the authors will attend the conference to present it.

    Submissions to the research tracks (Calculemus, DML, MKM) must not exceed 15 pages in the LNCS style and will be reviewed and evaluated with respect to relevance, clarity, quality, originality, and impact. Shorter papers, e.g., for system descriptions, are welcome. Authors will have an opportunity to respond to their papers' reviews before the programme committee makes a decision.

    System and Data descriptions must not exceed 4 pages in the LNCS style.

    A project description should be between 4 and 15 pages, depending on the size and impact of the project.

    Details of the publication are to be determined. We currently plan that the accepted conference submissions from all tracks will be published as a volume in the series Lecture Notes in Artificial Intelligence (LNAI) by Springer. In addition to these formal proceedings, authors are permitted and encouraged to publish the final versions of their papers on

    Work-in-progress submissions are intended to provide a forum for the presentation of original work that is not yet in a suitable form for submission as a full paper for a research track or system description. This includes work in progress and emerging trends. Their size is not limited, but we recommend 5-10 pages.

    The programme committee may offer authors of rejected formal submissions the opportunity to publish their contributions as work-in-progress papers instead. Depending on the number of work-in-progress papers accepted, they will be presented at the conference either as short talks or as posters. The work-in-progress proceedings will be published as a technical report, as well as online with

    Doctoral Programme

    CICM is an excellent opportunity for graduate students to meet established researchers from the areas of computer algebra, automated deduction, and mathematical publishing.

    The Doctoral Programme provides a dedicated forum for PhD students to present and discuss their ideas, ongoing or planned research, and achieved results in an open atmosphere. It will consist of presentations by the PhD students to get constructive feedback, advice, and suggestions from the research advisory board, researchers, and other PhD students. Each PhD student will be assigned to an experienced researcher from the research advisory board who will act as a mentor and who will provide detailed feedback and advice on their intended and ongoing research.

    Students at any stage of their PhD can apply and should submit the following documents through EasyChair:

    A two-page abstract of the thesis describing the research questions, research plans, completed and remaining research, evaluation plans and publication plans; A two-page CV that includes background information (name, university, supervisor), education (degree sought, year/status of degree, previous degrees), employments, relevant research experience (publications, presentations, attended conferences or workshops, etc.)

    Submission Deadline: 4 May 2015

    Programme Committee (some additions still possible)

    General chair

    • Manfred Kerber (University of Birmingham, UK)

    Calculemus track

    • Jacques Carette (McMaster University, Canada, Chair)
    • Frédéric Chyzak (INRIA, France)
    • James H. Davenport (University of Bath, UK)
    • Madalina Erascu (Institute e-Austria and West University of Timisoara, Romania)
    • Michal Konecny (Aston University, UK)
    • John May (Maplesoft, Canada)
    • Anders Mortberg (Chalmers University, Sweden)
    • François Pessaux (ENSTA ParisTech, France)
    • Renaud Rioboo (ENSIIE, France)
    • Bas Spitters (independent researcher, Netherlands)
    • Makarius Wenzel (Université Paris-Sud, France)
    • David Wilson (University of Bath, UK)
    • Wolfgang Windsteiger (RISC Institute, JKU Linz, Austria)

    DML track

    • Volker Sorge (University of Birmingham, UK, Chair)
    • Thiery Bouche (University Grenoble, France)
    • Joe Cornelli (Planet Math, USA)
    • Thomas Fischer (University Library Goettingen, Germany)
    • Toshihiro Kanahori (Tsukuba University, Japan)
    • Peter Krautzberger (MathJax Consortium, USA)
    • Ross Moore (University of Queensland, Australia)
    • Jiri Rakosník (Czech Academy of Sciences, CZ)
    • David Ruddy (Cornell University Library, USA)
    • Noureddin Sadawi (Brunel University, UK)
    • Petr Sojka (Masaryk University, CZ)

    MKM track

    • Cezary Kaliszyk (University of Innsbruck, Austria, Chair)
    • Andrea Asperti (University of Bologna)
    • David Aspinall (University of Edinburgh)
    • Pierre Corbineau (Verimag)
    • Marcos Cramer (University of Luxembourg)
    • Oleg Golubitsky (Google)
    • Gudmund Grov (Heriot-Watt University)
    • Predrag Janičić (University of Belgrade)
    • Andrea Kohlhase (Jacobs University Bremen)
    • George Labahn (University of Waterloo)
    • Bruce Miller (NIST)
    • Grant Passmore (University of Cambridge)
    • Erik Postma (Maplesoft)
    • Aleksy Schubert (University of Warsaw)
    • Christoph Schwarzweller (Gdańsk University)
    • Alan Sexton (University of Birmingham)
    • Elena Smirnova (Texas Instruments)
    • Sofiène Tahar (Concordia University)
    • Christian Urban (King's College London)
    • Josef Urban (Radboud University)

    Systems and Data track

    • Florian Rabe (Jacobs University Bremen, Germany, Chair)
    • Serge Autexier (DFKI Bremen, Germany)
    • Paul-Olivier Dehaye (University of Zurich, Switzerland)
    • Matthew England (University of Bath, UK)
    • Yannis Haralambous (Institut Mines-Telecom, France)
    • Moa Johansson (Chalmers Tekniska Hogskola, Sweden)
    • Christoph Lange (University of Bonn, Germany)
    • Adam Naumowicz (University of Bialystok, Poland)
    • Pedro Quaresma (University of Coimbra, Portugal)
    • Alan Sexton (University of Birmingham, UK)
    • Geoff Sutcliffe (University of Miami, US)
    • Frank Tompa (University of Waterloo, Canada)
    • Josef Urban (Radboud University, Netherlands)
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