From ipe at informatik.uni-kiel.de Sat Nov 4 05:28:22 2017 From: ipe at informatik.uni-kiel.de (Isabella Peters) Date: Sat, 4 Nov 2017 10:28:22 +0100 Subject: [Sigmetrics] Call for Papers: CiE 2018: Sailing Routes in the World of Computation Message-ID: <00cf01d3554f$44176e80$cc464b80$@informatik.uni-kiel.de> Apologies for multiple postings. ========================= FIRST CALL FOR PAPERS: ========================= CiE 2018: Sailing Routes in the World of Computation Kiel, Germany July 30 - August 3, 2018 http://cie2018.uni-kiel.de IMPORTANT DATES: ============================ Deadline for article registration (abstract submission): January 17, 2018 Deadline for article submission: February 1, 2018 Notification of acceptance: April 6, 2018 Final versions due: April 20, 2018 Deadline for informal presentations submission: April 20, 2018 (The notifications of acceptance for informal presentations will be sent a few days after submission.) Early registration before: May 30, 2018 CiE 2018 is the fourteenth conference organized by CiE (Computability in Europe), a European association of mathematicians, logicians, computer scientists, philosophers, physicists and others interested in new developments in computability and their underlying significance for the real world. Previous meetings have taken place in Amsterdam (2005), Swansea (2006), Siena (2007), Athens (2008), Heidelberg (2009), Ponta Delgada (2010), Sofia (2011), Cambridge (2012), Milan (2013), Budapest (2014), Bucharest (2015), Paris (2016), and Turku (2017). TUTORIAL SPEAKERS: ================== Pinar Heggernes (Bergen, Norway) Bakhadyr Khoussainov (Auckland, NZ) INVITED SPEAKERS: ================= Kousha Etessami (Edinburgh, UK) Johanna Franklin (Hempstead, US) Mai Gehrke (Paris, France) Alberto Marcone (Udine, Italy) Alexandra Silva (London, UK) Jeffrey O. Shallit (Waterloo, Canada) ORGANIZED BY: ============= Department of Computer Science, Kiel University For questions please contact the organisers at the e-mail address cie2018 at email.uni-kiel.de SPECIAL SESSIONS: ================= Approximation and Optimisation ? Organisers: Leah Epstein (Haifa), Klaus Jansen (Kiel) Bioinformatics and Bio-inspired Computing ? Organisers: Andre Franke (Kiel), Victor Mitrana (Bucharest) Computing with Imperfect Information ? Organisers: Tim McNicholl (Iowa), Mariya Soskova (Wisconsin-Madison) Continuous Computation ? Organisers: Ulrich Berger (Swansea), Dieter Spreen (Siegen) History and Philosophy of Computing ? Organisers: Liesbeth de Mol (Lille), Giuseppe Primiero (Middlesex) SAT-Solving ? Organisers: Vijay Ganesh (Waterloo), Olaf Beyersdorff (Leeds) The speakers of the special sessions will be announced soon. CONTRIBUTED PAPERS: =================== Contributed papers will be selected from submissions received by the PROGRAMME COMMITTEE consisting of: Eric Allender (Rutgers), Arnold Beckmann (Swansea), Marco Benini (Insubria), Olaf Beyersdorff (Leeds), Patricia Bouyer (Paris), Alessandra Carbone (Paris), Barbara Csima (Waterloo), Anuj Dawar (Cambridge), Henning Fernau (Trier), Ekaterina Fokina (Vienna), Peter H?yer (Calgary), Georgiana Ifrim (Dublin), Lila Kari (Waterloo), Elham Kashefi (Edinburgh), Karen Lange (Wellesley), Benedikt L?we (Amsterdam), Barnaby Martin (Durham), Florin Manea (Kiel), Klaus Meer (Cottbus), Russell Miller (New York, co-chair), Angelo Montanari (Udine), Andrey Morozov (Novosibirsk), Anca Muscholl (Bordeaux), Dirk Nowotka (Kiel, co-chair), Arno Pauly (Bruxelles), Isabella Peters (Kiel), Giuseppe Primiero (Middlesex), Henning Schnoor (Kiel), Monika Seisenberger (Swansea), Shinnosuke Seki (Tokyo), Mariya Soskova (Wisconsin?Madison), Raymond Turner (Essex), Peter Van Emde Boas (Amsterdam), Heribert Vollmer (Hannover). The CiE conferences serve as an interdisciplinary forum for research in all aspects of computability, foundations of computer science, logic, and theoretical computer science, as well as the interplay of these areas with practical issues in computer science and with other disciplines such as biology, mathematics, philosophy, or physics. THE PROGRAMME COMMITTEE cordially invites all researchers (European and non-European) to submit their papers in all areas related to the above for presentation at the conference and inclusion in the proceedings at https://easychair.org/conferences/?conf=cie2018 . Papers must be submitted in PDF format, using the LNCS style (available at ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip) and should have a maximum of 10 pages, including references but excluding a possible appendix in which one can make available proofs and other additional material. Papers building bridges between different parts of the research community are particularly welcome. The CONFERENCE PROCEEDINGS will be published by LNCS, Springer Verlag. INFORMAL PRESENTATIONS: ======================= Continuing the tradition of past CiE conferences, in addition to the formal presentations based on the LNCS proceedings volume, CiE 2018 will host a track of informal presentations, that are prepared very shortly before the conference and inform the participants about current research and work in progress. The deadline for the submission of abstracts for informal presentations is April 20, 2018. WOMEN IN COMPUTABILITY: ======================= We are very happy to announce that within the framework of the Women in Computability programme, sponsored by ACM-Women, we are able to offer four grants of up to 250 EUR for junior female researchers who want to participate in CiE 2018. Applications for this grant should be sent to Liesbeth De Mol, liesbeth.demol at univ-lille3.fr, before 15 May 2018 and include a short cv (at most 2 pages) and contact information for an academic reference. Preference will be given to junior female researchers who are presenting a paper (including informal presentations) at CiE 2018. Association CiE: http://www.computability.org.uk CiE Conference Series: http://www.computability.org.uk/index.php/cie-conference-series/ *** Prof. Dr. Isabella Peters Professorin f?r Web Science Christian-Albrechts-Universit?t zu Kiel (CAU Kiel) Institut f?r Informatik AG Web Science (R. 506) Hermann-Rodewald-Str. 3 24118 Kiel T: +49 431 880-7286 E: ipe at informatik.uni-kiel.de Web: http://www.ws.informatik.uni-kiel.de/de ZBW Leibniz-Informationszentrum Wirtschaft D?sternbrooker Weg 120 24105 Kiel T: +49-431-8814-623 E: i.peters at zbw.eu Web: http://www.zbw.eu/de/forschung/web-science/isabella-peters -------------- next part -------------- An HTML attachment was scrubbed... URL: From guillaume.cabanac at univ-tlse3.fr Mon Nov 6 04:27:10 2017 From: guillaume.cabanac at univ-tlse3.fr (Guillaume Cabanac) Date: Mon, 6 Nov 2017 10:27:10 +0100 Subject: [Sigmetrics] [BIR@ECIR] CfP 7th Bibliometric-enhanced Information Retrieval workshop at ECIR 2018 Message-ID: <94B65063-49D1-43AE-9AB4-1036BA43BE9A@univ-tlse3.fr> == First Call for Papers == You are invited to participate in the upcoming 7th international workshop on Bibliometric-enhanced Information Retrieval (BIR 2018), to be held as part of the 40th European Conference on Information Retrieval (ECIR 2018). === Important Dates === - Submissions: 15 January 2018 - Notifications: 15 February 2018 - Camera Ready Contributions: 15 March 2018 - Workshop: 26 March 2018 in Grenoble, France === Aim of the Workshop === In this 7th workshop we aim to engage with the IR community about possible links to bibliometrics and complex network theory which also explores networks of scholarly communication. Bibliometric techniques are not yet widely used to enhance retrieval processes, yet they offer value-added effects for users. Our interests include information retrieval, information seeking, science modelling, network analysis, and natural language processing. The goal is to apply insights from bibliometrics, scientometrics, and informetrics to concrete practical problems of information retrieval and browsing. See proceedings of the former BIR workshops at ECIR 2014 , ECIR 2015 , ECIR 2016 , ECIR 2017 , JCDL 2016 and SIGIR 2017 . Retrieval evaluations have shown that simple text-based retrieval methods scale up well but do not progress. Traditional retrieval has reached a high level in terms of measures like precision and recall, but scientists and scholars still face challenges present since the early days of digital libraries: mismatches between search terms and indexing terms, overload from result sets that are too large and complex, and the drawbacks of text-based relevance rankings. Therefore we will focus on statistical modelling and corresponding visualizations of the evolving science system. Such analyses have revealed not only the fundamental laws of Bradford and Lotka, but also network structures and dynamic mechanisms in scientific production. Statistical models of scholarly activities are increasingly used to evaluate specialties, to forecast and discover research trends, and to shape science policy. Their use as tools in navigating scientific information in search systems is a promising but still relatively new development. We will explore how statistical modelling of scholarship can improve retrieval services for specific communities, as well as for large, cross-domain collections. Some of these techniques are already used in working systems but not well integrated in larger scholarly IR environments. The availability of new IR test collections that contain citation and bibliographic information like the iSearch collection or the ACL collection could deliver enough ground to interest (again) the IR community in these kind of bibliographic systems. The long-term research goal is to develop and evaluate new approaches based on informetrics and bibliometrics. The aim of this workshop is to bring together researchers and practitioners from different domains, such as information retrieval, information seeking, science modelling, bibliometrics, scientometrics, network analysis, natural language processing, digital libraries, and approaches to visualize search and retrieval to move toward a deeper understanding of this research challenge. === Workshop Topics === To support the previously described goals the workshop topics include (but are not limited to) the following: - IR for digital libraries and scientific information portals - IR for scientific domains, e.g. social sciences, life sciences etc. - Information Seeking Behaviour - Bibliometrics, citation analysis and network analysis for IR - Query expansion and relevance feedback approaches - Science Modelling (both formal and empirical) - Task based user modelling, interaction, and personalisation - (Long-term) Evaluation methods and test collection design - Collaborative information handling and information sharing - Classification, categorisation and clustering approaches - Information extraction (including topic detection, entity and relation extraction) - Recommendations based on explicit and implicit user feedback - Recommendation for scholarly papers, reviewers, citations and publication venues - (Social) Book Search - Information extraction (including topic detection, entity and relation extraction) We especially invite descriptions of running projects and ongoing work as well as contributions from industry. Papers that investigate multiple themes directly are especially welcome. === Submission Details === All submissions must be written in English following Springer LNCS author guidelines (6 to 12 pages) and should be submitted as PDF files to EasyChair. All submissions will be reviewed by at least two independent reviewers. Please be aware of the fact that at least one author per paper needs to register for the workshop and attend the workshop to present the work. In case of no-show the paper (even if accepted) will be deleted from the proceedings AND from the program. Springer LNCS: EasyChair: Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - This way the proceedings will be permanently available and citable (digital persistent identifiers and long term preservation). Program Committee (under constitution) === Program Chairs === Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany Ingo Frommholz, University of Bedfordshire in Luton, UK Guillaume Cabanac, University of Toulouse, France Cfp on Twitter , please retweet! ------------------------------------------------------------ Guillaume Cabanac, PhD https://www.irit.fr/~Guillaume.Cabanac University of Toulouse, France Computer Science Department IRIT UMR 5505 CNRS ~~~~~~~~ ?If you find something interesting drop everything else and pursue it!? ? B.F. Skinner From leydesdorff at gmail.com Wed Nov 8 01:44:29 2017 From: leydesdorff at gmail.com (loet@leydesdorff.net) Date: Wed, 8 Nov 2017 07:44:29 +0100 Subject: [Sigmetrics] Markov blankets Message-ID: Dear colleagues, Some of you may be interested in my comments, entitled 'Lifting the Markov Blankets of Socio-Cultural Evolution. A Comment on ?Answering Schr?dinger?s question: A free-energy formulation? by Maxwell James D?sormeau Ramstead et al.,' Physics of Life Reviews, in press; ?Preprint at https://www.researchgate.net/publication/320848069_Lifting_ the_Markov_Blankets_of_Socio-Cultural_Evolution? -- Loet Leydesdorff Professor Emeritus, University of Amsterdam Amsterdam School of Communications Research (ASCoR) loet at leydesdorff.net; http://www.leydesdorff.net/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.herrmannova at gmail.com Thu Nov 9 12:10:22 2017 From: d.herrmannova at gmail.com (Drahomira Herrmannova) Date: Thu, 9 Nov 2017 12:10:22 -0500 Subject: [Sigmetrics] LREC 2018: 7th International Workshop on Mining Scientific Publications (WOSP 2018) | Call for Papers Message-ID: Dear all, You are invited to participate in the upcoming 7th International Workshop on Mining Scientific Publications (WOSP 2018) to be held in conjunction with the 2018 Language Resources and Evaluation Conference (LREC 2018) on May 7, 2018 in Miyazaki, Japan. The submission deadline is Wednesday, March 7, 2018. Call for papers: Workshop: May 7, 2018 ? Miyazaki, Japan Workshop page: https://wosp.core.ac.uk/lrec2018/ Conference page: http://lrec2018.lrec-conf.org/en/ Twitter: https://twitter.com/wospworkshop 1. INTRODUCTION The entire body of research literature is currently estimated at 100-150 million publications with an annual increase of around 1.5 million. Research literature constitutes the most complete representation of knowledge we have assembled as human species. It enables us to develop cures to diseases, solve difficult engineering problems and answer many of the world?s challenges we are facing today. Systematically reading and analysing the full body of knowledge is now beyond the capacities of any human being. Consequently, it is important to better understand how we can leverage Natural Language Processing/Text Mining techniques to aid knowledge creation and improve the process by which research is being done. This workshop aims to bring together people from different backgrounds who: (a) have experience with analysing and mining databases of scientific publications, (b) develop systems that enable such analysis and mining of scientific databases (especially those who publication databases) or (c) who develop novel technologies that improve the way research is being done. 2. TOPICS The topics of the workshop will be organised around the following themes: 1. The whole ecosystem of infrastructures including repositories, aggregators, text-and data-mining facilities, impact monitoring tools, datasets, services and APIs that enable analysis of large volumes of scientific publications. 2. Semantic enrichment of scientific publications by means of text and data mining. 3. Analysis of large databases of scientific publications to identify research trends, high impact and improve access to research content. 3. SPECIAL OPEN PUBLICATIONS DATASET TRACK This year we would like to invite the workshop participants to makes use of the CORE publications dataset containing over 8 million full texts of research papers from a wide variety of research areas. The dataset contains not only full-texts, but also an enriched version of publications? metadata. This dataset provides a framework for developing and testing methods and tools addressing the workshop topics. The use of this dataset is not mandatory, however it is encouraged. The dataset is available through the CORE portal: http://core.ac.uk/intro/data_dumps In addition to offering the dataset we are also considering to run a shared task involving the use of the OpenMinTeD infrastructure for mining scientific papers. 4. SUBMISSION FORMAT We invite submissions related to the workshop?s topics. Long papers should not exceed 8 pages and short papers should not exceed 4 pages of the LREC style. Furthermore, we welcome demo presentations of systems or methods. A demonstration submission should consist of a maximum two-page description of the system, method or tool to be demonstrated. All submissions will be uploaded to the START system for a peer-review. The LREC proceedings template can be found on the LREC website: http://lrec2018.lrec-conf.org/en/submission/authors-kit/. Papers should be submitted using the START system, which will be provided shortly. 5. IMPORTANT DATES Wednesday, March 7, 11:59 (Hawaii time) -- Submission deadline Saturday, April 7 -- Notification of acceptance Saturday, April 21 -- Camera-ready Monday, May 7 -- Workshop The dates are at this stage indicative only and can change. 6. KEYNOTE SPEAKERS TBD 7. ORGANISING COMMITTEE Petr Knoth, Knowledge Media institute, The Open University, UK Drahomira Herrmannova, Oak Ridge National Laboratory, USA Richard Eckart de Castilho, Technische Universit?t Darmstadt, Germany 8. PROGRAMME COMMITTEE (tentative - based on 2017) Iana Atanassova, CRIT, Universit? de Bourgogne Franche-Comt?, France Joeran Beel, Trinity College, University of Dublin, Ireland Marc Bertin, Paris-Sorbonne University, France P?vel Calado, Instituto Superior T?cnico, Universidade de Lisboa, Portugal Tanmoy Chakraborty, University of Maryland, USA Aristotelis Charalampous, KMi,The Open University, UK Daniel Duma, University of Edinburgh, UK Shang Gao, Oak Ridge National Laboratory, USA Christopher G. Harris, SUNY Oswego, USA Saeed Ul Hassan, Information Technology University, Pakistan Antoine Isaac, Europeana & VU University Amsterdam, The Netherlands Roman Kern, Graz University of Technology,Austria Martin Klein, Los Alamos National Laboratory, USA Birger Larsen, Aalborg University Copenhagen, Denmark Paolo Manghi, ISTI-CNR, Italy Bruno Martins, Instituto Superior T?cnico, Universidade de Lisboa, Portugal Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany Franco Maria Nardini, ISTI-CNR, Italy Francesco Osborne, KMi, The Open University, UK John X. Qiu, Oak Ridge National Laboratory/University of Tennessee, USA Eloy Rodrigues, Universidade do Minho, Portugal Angelo Antonio Salatino, KMi, The Open University, UK Pavel Smrz, Brno University of Technology, Czech Republic Mike Thelwall, University of Wolverhampton, UK Vetle Torvik, University of Illinois, USA Michael T. Young, Oak Ridge National Laboratory, USA More details available on the workshop website: https://wosp.core.ac.uk/lrec2018/ With kind regards, WOSP 2018 organising committee From katy at indiana.edu Thu Nov 9 12:34:57 2017 From: katy at indiana.edu (Borner, Katy) Date: Thu, 9 Nov 2017 17:34:57 +0000 Subject: [Sigmetrics] NAS Sackler Colloquium: Modeling and Visualizing Science and Technology Developments, Dec 4-5 -- Student Travel Support Available Message-ID: <61976f39bcac4dd79b1dda0df6f935b4@IN-CCI-EX03.ads.iu.edu> Dear all, The complete agenda for the forthcoming NAS Sackler Colloquium on Modelling and Visualizing Science and Technology Developments can now be found at http://www.cvent.com/events/modeling-and-visualizing-science-and-technology-developments/agenda-27b341fc9c0b4852b326d30a5b38c4b9.aspx The colloquium will be held at the National Academy of Sciences Beckman Center in Irvine, CA on December 4-5, 2017. The colloquium brings together researchers and practitioners from multiple disciplines to present, discuss, and advance computational models and visualizations of science and technology (S&T). Existing computational models are being applied by academia, government, and industry to explore questions such as: What jobs will exist in ten years and what career paths lead to success? Which types of institutions will likely be most innovative in the future? How will the higher education cost bubble burst affect these institutions? What funding strategies have the highest return on investment? How will changing demographics, alternative economic growth trajectories, and relationships among nations impact answers to these and other questions? Large?scale datasets (e.g., publications, patents, funding, clinical trials, stock market, social media data) can now be utilized to simulate the structure and evolution of S&T. Advances in computational power have created the possibility of implementing scalable, empirically validated computational models. However, because the databases are massive and multidimensional, both the data and the models tend to exceed human comprehension. How can advances in data visualizations be effectively employed to communicate the data, the models, and the model results to diverse stakeholder groups? Who will be the users of next generation models and visualizations and what decisions will they be addressing. Feel free to share the below info and attached flyer with interested colleagues. Thanks to generous industry funding, there are travel awards available for students and postdocs. We welcome poster and flash-talk submissions. Sunny regards, k [Modeling Science-banner] Modeling and Visualizing Science and Technology Developments WHEN December 4-5, 2017 Graduate and PostDoc Travel Awards Available Poster Presentation Applications View Event Summary View Event Agenda Register now - click YES [Yes][No] To not receive this announcement again, click NO Having trouble with the link? Simply copy and paste the entire address listed below into your web browser: http://www.cvent.com/d/SgqIr0E_zECvqiMUmmQBUQ/l8r9/P1/1Q? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.gif Type: image/gif Size: 1857 bytes Desc: image003.gif URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.gif Type: image/gif Size: 1904 bytes Desc: image004.gif URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image005.jpg Type: image/jpeg Size: 23235 bytes Desc: image005.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: sackler-modeling-and-visualizing Flyer.pdf Type: application/pdf Size: 923385 bytes Desc: sackler-modeling-and-visualizing Flyer.pdf URL: From editor at jscires.org Mon Nov 13 05:04:56 2017 From: editor at jscires.org (Editor/ J Scientometric Res.) Date: Mon, 13 Nov 2017 15:34:56 +0530 Subject: [Sigmetrics] =?utf-8?q?Greetings_from_Journal_of_Scientometric_Re?= =?utf-8?q?search=3B_now_=E2=80=8BJSCIRES_is_indexed_by_=E2=80=8BES?= =?utf-8?q?CI?= Message-ID: Dear All You will be glad to know that Journal of Scientometric Research ( ?? JSCIRES) [www.jscires.org] is now Indexed by *Emerging Sources Citation Index (??ESCI).* This is part of the Web-of_Science database. ESCI is a recognition that journal is very well peer reviewed, follows ethical publishing practices, meets technical requirements, and has been recommended or requested by a scholarly audience of Web of Science. This journal will now be discoverable by the Web of Science with an identical indexing process to any other indexed journal, with full citation counts, author information and other enrichment. *Articles in JSCIRES will be included in H-index calculation*, and also in any analysis conducted on Web of Science data or related products such as InCites. Many of you have been actively contributing to JSCIRES as authors, book review, and in the peer review process. This is a reflection of your constant support. *As you are aware that this is open access journal and no charges for publishing, downloading etc. *our only requirement is submission of well-researched papers that expands our intellectual horizon, provides new insights, and is useful to the research community that can be broadly defined by scholars engaged in quantitative studies of STI, innovation studies and STS. To encourage young scholars and exciting research that have been conceptualized, we have ?research-in-progress? section. Under Research Note, we would be happy to include your doctoral research thesis, underscoring the intellectual contribution of that work. Your constant support will help us to add value to this journal and make it useful to the research community at large. I also hope many of you will also come forward to act as reviewer of this journal. Their role will be duly acknowledged by the journal. *?Current Issue: *https://www.jscires.org/v6/i2 ? Thanks and Happy Reading! Hoping to hear from you ?? With warm regards >From the Editorial Desk of JSCIRES -- *??Prof (Dr.) Sujit Bhattacharya* *Editor-in-Chief*, *Journal of Scientometric Research* [An Official Publication of Wolters Kluwer Health - Medknow, and SciBiolMed.Org] Professor AcSIR| Academy of Scientific Research & Innovation Senior Principal Scientist (NISTADS) Dr. K.S. Krishnan Marg, Pusa Campus, New Delhi-110012, INDIA Landline: +91-11-25843024 Mobile: +91-9999020157 *Email*: editor at jscires.org *Twitter*: @JSCIRES http://twitter.com/JSCIRES *Google Scholar Profile:* http://scholar.google.co.in/citations?hl=en&user=c3d1afEAAAAJ *Website*: www.jscires.org *Online manuscript submission*: http://www.journalonweb.com/jscires/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fox at vt.edu Thu Nov 16 21:05:12 2017 From: fox at vt.edu (EdFox) Date: Thu, 16 Nov 2017 21:05:12 -0500 Subject: [Sigmetrics] 2 Assistant Professor positions in data analytics - Virginia Tech Message-ID: 2 TENURE TRACK ASSISTANT PROFESSORS IN DATA ANALYTICS The Department of Computer Science at Virginia Tech (www.cs.vt.edu) seeks applicants for two tenure-track assistant professor positions in data analytics. Exceptional candidates at higher ranks may also be considered. Candidates with research depth and breadth in data analytics, data mining, machine learning, deep learning, artificial intelligence, text mining, natural language processing, information retrieval, interactive visual analytics, data visualization, high-performance analysis, social informatics, or data science are encouraged to apply. Candidates working at the intersection of data analytics and other computing or application domains---such as cyber-security, urban computing, health analytics, bioinformatics, and distributed and IoT systems---are also encouraged to apply. Successful candidates should be able to demonstrate an interest in initiating and sustaining collaborations within computing as well as with data domain scientists. Successful candidates will have the opportunity to engage in transdisciplinary research, curriculum, and outreach initiatives with other university faculty working in the Data & Decisions destination area, one of several new university-wide initiatives at Virginia Tech (provost.vt.edu/destination-areas). Data & Decisions is focused on advancing the human condition and society with better decisions through data. Faculty collaborating in this area integrate data analytics and decision sciences across transdisciplinary research and curriculum efforts at Virginia Tech. Candidates with demonstrated experience in interdisciplinary teaching or research that aligns with the Data and Decisions vision (provost.vt.edu/destination-areas/da-overview/da-data.html) are especially encouraged to apply. The Department of Computer Science is home to the Discovery Analytics Center (dac.cs.vt.edu), which leads big-data analytics research on campus. Data analytics faculty collaborate in interdisciplinary research groups, including the Center for Human Computer Interaction, the Center for Business Intelligence and Analytics, the Social and Decision Analytics Laboratory, and the Network Dynamics and Simulation Science Laboratory. Faculty also participate in data analytics education initiatives (analytics.cs.vt.edu), including the Computational Modeling and Data Analytics undergraduate program. Applications must be submitted online to jobs.vt.edu for posting #TR0170153. Applicant screening will begin on December 1, 2017 and continue until positions are filled. Inquiries should be directed to Dr. Chris North, Search Committee Chair, north at cs.vt.edu. Data analytics positions flyer. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Philipp.Mayr-Schlegel at gesis.org Fri Nov 17 06:20:18 2017 From: Philipp.Mayr-Schlegel at gesis.org (Mayr-Schlegel, Philipp) Date: Fri, 17 Nov 2017 11:20:18 +0000 Subject: [Sigmetrics] Special Issue on "Bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL)" in IJDL Message-ID: Dear colleagues, the Special Issue on "Bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL)" in International Journal on Digital Libraries is published. See our open accessible editorial . All the papers are abstracted and ordered in the way they will appear in the printed issue. Please forward this information to interested colleagues. And speak about this special issue! Best regards, Philipp On behalf of all guest editors -- Dr. Philipp Mayr Team Leader GESIS - Leibniz Institute for the Social Sciences Unter Sachsenhausen 6-8, D-50667 K?ln, Germany Tel: + 49 (0) 221 / 476 94 -533 Email: philipp.mayr at gesis.org Web: http://www.gesis.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From niconorthwestern600 at gmail.com Tue Nov 21 11:27:40 2017 From: niconorthwestern600 at gmail.com (NICO Northwestern) Date: Tue, 21 Nov 2017 10:27:40 -0600 Subject: [Sigmetrics] Announcement - NICO Hosts International Conference on Computational Social Science Message-ID: Dear colleagues, We are very excited to announce that Northwestern University and Northwestern Institute on Complex Systems (NICO ) is once again hosting the annual International Conference on Computational Social Science from July 12-15, 2018 . Our Call for Abstracts for presentations has just opened, and our chairs and committee members thought members of your group might be interested. I have attached a PDF with further information. Feel free to forward this email to others if interested as well. Sincerely, Yasmeen Khan Business Coordinator, NICO?????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 125848 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: IC2S22018_CallForAbstracts.pdf Type: application/pdf Size: 428189 bytes Desc: not available URL: From katy at indiana.edu Tue Nov 21 22:58:32 2017 From: katy at indiana.edu (Borner, Katy) Date: Wed, 22 Nov 2017 03:58:32 +0000 Subject: [Sigmetrics] New deadline: January 1st. NSF-NRT PhD Fellowship in Complex Networks and Systems at IU Message-ID: <772bc2b248d242e09f938725ce365f8f@BL-CCI-EX03.ads.iu.edu> Dear all, Please share the below Fellowship opportunity with interested students. Happy Thanksgiving everyone, k From: Rocha, Luis M. Sent: Monday, November 20, 2017 11:34 AM Subject: [CNS-NRT-Faculty] New deadline: January 1st. NSF-NRT PhD Fellowship in Complex Networks and Systems NEW DEADLINE: Applications Due January 1, 2018 [cid:image001.jpg at 01D361F3.784BD820] Interdisciplinary Training in Complex Networks and Systems Understanding complex networked systems is key to solving some of the most vexing problems confronting humankind, from discovering how dynamic brain connections give rise to thoughts and behaviors, to detecting and preventing the spread of misinformation or unhealthy behaviors across a population. Graduate training, however, typically occurs in one of two dimensions: experimental and observational methods in a specific area such as biology and sociology, or in general methodologies such as machine learning and data science. With more and more students seeking to gain sufficient expertise in mathematical and computational methods on top of domain-specific laboratory and social analysis methodologies, a greater demand for more efficient interdisciplinary training is emerging. The Indiana University National Science Foundation Research Traineeship (NRT) addresses this growing need with an integrated dual PhD program that trains students to be "bidisciplinary" in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences. It will seamlessly integrate traditional education with interdisciplinary hands-on research in a culture of academic and human diversity. [cid:image002.jpg at 01D361F3.784BD820] The training program capitalizes on the new Indiana University Network Science Institute (IUNI). The Institute's 165+ faculty members will serve in interdisciplinary PhD program committees to be co-chaired by research mentors from both CNS and the target empirical domain. Project-driven, team-based research at IUNI will seamlessly integrate academic education with interdisciplinary hands-on scientific and industrial research. Trainees will learn to connect the general-purpose, computational expertise of CNS to the deep, domain-specific research methodologies of the natural, behavioral, and social sciences thus bridging the gap between distinct training cultures. They will be a new breed of STEM scientists that escapes the silos of disciplinary training to address the complex problems of the 21st century. NEW DEADLINE: Applications Due January 1, 2018 For more information on how to apply please contact: infograd at indiana.edu. For information about research and academic components, please see our website https://cns-nrt.indiana.edu, contact the program director Prof. Luis M Rocha, or other members of the executive committee: [CNS-NRT Animated Logo]Executive Committee ? Luis M. Rocha, Director ? Katy B?rner, Evaluation Committee Chair ? Bernice Pescosolido, Colloquia and Outreach Committee Chair ? Armando Razo, Education and Training Committee Chair ? Olaf Sporns, Recruiting and Admissions Committee Chair ? Tara Holbrook, Project Coordinator Research Themes Complex networks and systems Network neuroscience Social network science Health & health care Science of science Finance and economy networks Biological and chemical networks Many others Program Benefits $34,000 stipend on prestigious NSF Fellowship Tuition and health insurance Develop dual proficiency Interdisciplinary training Early integration in research via Indiana University Network Science Institute (IUNI) National and international internships Academic and industrial professional development including travel support Diverse, collaborative cohorts Interaction with world-renowned external board members and speakers NSF fellow must be US citizens residents. IU fellowships and NRT affiliates available for international students. Academics Dual PhD program in CNS and another domain such as Biology, Chemistry, Cognitive Science, Economics, Psychological and Brain Sciences, Sociology, Political Science, Physics, etc. Hands-on training in general-purpose methodologies of CNS, computational and data science, as well domain-specific methodologies of a chosen natural, behavioral, or social science. ______________________________________________________ Luis Mateus Rocha, Professor of Informatics and Cognitive Science Director, NSF-NRT Interdisciplinary Training in Complex Networks and Systems Center for Complex Networks and Systems Research School of Informatics, Computing, and Engineering Indiana University, 919 E. 10th St Bloomington IN, 47408, USA http://informatics.indiana.edu/rocha and Instituto Gulbenkian de Ci?ncia, Oeiras, Portugal http://www.igc.gulbenkian.pt/research/unit/76 ______________________________________________________ Any analytical approach to understanding simplicity always turns out to be very complex. (Howard Pattee) ______________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 14708 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 12648 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.gif Type: image/gif Size: 450753 bytes Desc: image003.gif URL: From j.adams at digital-science.com Fri Nov 24 05:56:35 2017 From: j.adams at digital-science.com (Jonathan Adams) Date: Fri, 24 Nov 2017 10:56:35 +0000 Subject: [Sigmetrics] Topic modelling in arts and humanities research Message-ID: Dear Colleagues Digital Science?s latest report analyses arts and humanities research through topic modelling of grant applications, unveiling an innovative and richer understanding of the research activity in disciplines that have received much less attention than STEM research. Today, working with the Arts and Humanities Research Council (AHRC), we have released our latest Digital Research Report on: ?Topic Modelling of Research in the Arts and Humanities .? The report is an analysis of AHRC grant applications and details new topic modelling applications for analysing research funding data. This is the first time these methods have been applied to a national funding dataset of research grants and one of the first comprehensive analytical views across research in the arts and humanities. -- Dr Jonathan Adams Chief Scientist, Digital Science Visiting Professor, King's College London *https://www.kcl.ac.uk/sspp/policy-institute/Visiting-professors-fellows/adams.aspx * M/ +44 7964 908449 E/ j.adams at digital-science.com Custom reporting and analysis to help you make better decisions faster -------------- next part -------------- An HTML attachment was scrubbed... URL: From loet at leydesdorff.net Sun Nov 26 01:51:29 2017 From: loet at leydesdorff.net (Loet Leydesdorff) Date: Sun, 26 Nov 2017 06:51:29 +0000 Subject: [Sigmetrics] Topic modelling in arts and humanities research In-Reply-To: References: Message-ID: Dear Jonathan, I read the report with interest. We previously had some validity issues with topic modeling (Leydesdorff & Nerghes, 2017), which we discussed before. Have these issues been solved by moving from LDA to Non-negative Matrix Factorization as a method? You claim (p. 15) that the results are "meaningful," but elsewhere you formulate more cauteously that "topic modeling is a promising approach that can capture trends in research production." "Can" or "may"? Are the data (and perhaps some results) available online? Tobias Hecking (Duisburg) and I are trying to upscale the previous study and would love to use them as an example. Best, Loet Reference: Leydesdorff, L., & Nerghes, A. (2017). Co-word maps and topic modeling: A comparison using small and medium-sized corpora (N < 1,000). [Article]. Journal of the Association for Information Science and Technology, 68(4), 1024-1035. doi: 10.1002/asi.23740 -------------------------------------------------------------------------------- Loet Leydesdorff Professor emeritus, University of Amsterdam Amsterdam School of Communication Research (ASCoR) loet at leydesdorff.net ; http://www.leydesdorff.net/ Associate Faculty, SPRU, University of Sussex; Guest Professor Zhejiang Univ. , Hangzhou; Visiting Professor, ISTIC, Beijing; Visiting Fellow, Birkbeck , University of London; http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en ------ Original Message ------ From: "Jonathan Adams" To: "SIGMETRICS (sigmetrics at mail.asis.org)" Sent: 11/24/2017 11:56:35 AM Subject: [Sigmetrics] Topic modelling in arts and humanities research >Dear Colleagues > >Digital Science?s latest report analyses arts and humanities research >through topic modelling of grant applications, unveiling an innovative >and richer understanding of the research activity in disciplines that >have received much less attention than STEM research. > >Today, working with the Arts and Humanities Research Council > (AHRC), we have released our latest Digital >Research Report on: ?Topic Modelling of Research in the Arts and >Humanities .? The >report is an analysis of AHRC grant applications and details new topic >modelling applications for analysing research funding data. This is the >first time these methods have been applied to a national funding >dataset of research grants and one of the first comprehensive >analytical views across research in the arts and humanities. > >-- >Dr Jonathan Adams >Chief Scientist, Digital Science >Visiting Professor, King's College London >https://www.kcl.ac.uk/sspp/policy-institute/Visiting-professors-fellows/adams.aspx > >M/ +44 7964 908449 >E/ j.adams at digital-science.com > > > >Custom reporting and analysis to help you make better decisions faster -------------- next part -------------- An HTML attachment was scrubbed... URL: From kschudamani at rediffmail.com Sun Nov 26 02:39:56 2017 From: kschudamani at rediffmail.com (kschudamani) Date: Sun, 26 Nov 2017 13:09:56 +0530 Subject: [Sigmetrics] Topic modelling in arts and humanities research In-Reply-To: Message-ID: <201711260740.vAQ7eBXS013885@mail.asis.org> I have a paper on" subject collaboration: a case study of superconductivity collaboration in Collier workshop held Nistads, new Delhi in 2001 Chudamani Sent from my Samsung Galaxy smartphone. -------- Original message --------From: Loet Leydesdorff Date: 11/26/17 12:21 (GMT+05:30) To: Jonathan Adams , "SIGMETRICS (sigmetrics at mail.asis.org)" , Tobias Hecking Subject: Re: [Sigmetrics] Topic modelling in arts and humanities research Dear Jonathan,? I read the report with interest. We previously had some validity issues with topic modeling (Leydesdorff & Nerghes, 2017), which we discussed before. Have these issues been solved by moving from LDA to Non-negative Matrix Factorization as a method?? You claim (p. 15) that the results are "meaningful," but elsewhere you formulate more cauteously that "topic modeling is a promising approach that can capture trends in research production."?"Can" or "may"? Are the data (and perhaps some results) available online? Tobias Hecking (Duisburg) and I are trying to upscale the previous study and would love to use them as an example.? Best,Loet Reference: Leydesdorff, L., & Nerghes, A. (2017). Co-word maps and topic modeling: A comparison using small and medium-sized corpora (N < 1,000). [Article]. Journal of the Association for Information Science and Technology, 68 (4), 1024-1035. doi: 10.1002/asi.23740 Loet Leydesdorff Professor emeritus, University of Amsterdam Amsterdam School of Communication Research (ASCoR) loet at leydesdorff.net ; http://www.leydesdorff.net/ Associate Faculty, SPRU, University of Sussex; Guest Professor Zhejiang Univ., Hangzhou; Visiting Professor, ISTIC, Beijing; Visiting Fellow, Birkbeck, University of London; http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en ------ Original Message ------ From: "Jonathan Adams" To: "SIGMETRICS (sigmetrics at mail.asis.org)" Sent: 11/24/2017 11:56:35 AM Subject: [Sigmetrics] Topic modelling in arts and humanities research Dear Colleagues Digital Science?s latest report analyses arts and humanities research through? topic modelling of grant applications,?unveiling an innovative and richer understanding of the research activity in disciplines that have received much less attention than STEM research.Today, working with the?Arts and Humanities Research Council?(AHRC), we have released our latest Digital Research Report on: ?Topic Modelling of Research in the Arts and Humanities.? The report is an analysis of AHRC grant applications and details new topic modelling applications for analysing research funding data. This is the first time these methods have been applied to a national funding dataset of research grants ?and one of the first comprehensive analytical views across research in the arts and humanities.--? Dr Jonathan Adams Chief Scientist, Digital Science Visiting Professor, King's College Londonhttps://www.kcl.ac.uk/sspp/policy-institute/Visiting-professors-fellows/adams.aspx M/ +44 7964 908449 E/ j.adams at digital-science.com Custom reporting and analysis to help you make better decisions faster -------------- next part -------------- An HTML attachment was scrubbed... URL: From nico at northwestern.edu Tue Nov 28 16:23:38 2017 From: nico at northwestern.edu (Northwestern Institute on Complex Systems) Date: Tue, 28 Nov 2017 21:23:38 +0000 Subject: [Sigmetrics] Announcement - NICO Hosts International Conference on Computational Social Science In-Reply-To: <1511899972214.78140@northwestern.edu> References: , <495db010f9f044db8c3ff4c6a2c9e38e@evcspmbx06.ads.northwestern.edu>, <1511279793857.3576@northwestern.edu>, <1511898502848.71692@northwestern.edu>, <1511899972214.78140@northwestern.edu> Message-ID: <1511904218650.1706@northwestern.edu> Dear colleagues, We are very excited to announce that Northwestern University and Northwestern Institute on Complex Systems (NICO) is once again hosting the annual International Conference on Computational Social Science from July 12-15, 2018. Our Call for Abstracts for presentations has just opened, and our chairs and committee members thought members of your group might be interested. Visit this page? for further information. Feel free to forward this link to others if interested as well. Sincerely, Yasmeen Khan Business Coordinator, NICO?????? [cid:image001.jpg at 01D362AD.C692A580] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 125848 bytes Desc: image001.jpg URL: From nico at northwestern.edu Tue Nov 28 16:27:13 2017 From: nico at northwestern.edu (Northwestern Institute on Complex Systems) Date: Tue, 28 Nov 2017 21:27:13 +0000 Subject: [Sigmetrics] NICO Hosts International Conference on Computational Social Science In-Reply-To: <1511904381044.40502@northwestern.edu> References: , <495db010f9f044db8c3ff4c6a2c9e38e@evcspmbx06.ads.northwestern.edu>, <1511279793857.3576@northwestern.edu>, <1511898502848.71692@northwestern.edu>, <1511904381044.40502@northwestern.edu> Message-ID: <1511904433766.39404@northwestern.edu> Dear colleagues, We are very excited to announce that Northwestern University and Northwestern Institute on Complex Systems (NICO) is once again hosting the annual International Conference on Computational Social Science from July 12-15, 2018. Our Call for Abstracts for presentations has just opened, and our chairs and committee members thought members of your group might be interested. Visit this page? for further information. Feel free to forward this link to others if interested as well. Sincerely, Yasmeen Khan Business Coordinator, NICO?????? [cid:image001.jpg at 01D362AD.C692A580] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 125848 bytes Desc: image001.jpg URL: From a.zuccala at hum.ku.dk Wed Nov 29 08:42:29 2017 From: a.zuccala at hum.ku.dk (Alesia Ann Zuccala) Date: Wed, 29 Nov 2017 13:42:29 +0000 Subject: [Sigmetrics] CFP: Special Issue on Scholarly Books and Their Evaluation Context in the SSH Message-ID: <216014e9-e0bb-46a4-aef1-aa202d122cb4@P2KITHUB04W.unicph.domain> Call For Papers: Special Issue on Scholarly Books and Their Evaluation Context in the Social Sciences and Humanities (Aslib Journal of Information Management) This special issue, to be published in 2018, is guest edited by Alesia Zuccala (University of Copenhagen, Denmark); Ginevra Peruginelli (ITTIG - Institute of Legal Information Theory and Techniques - National Research Council, Italy); Elea Gim?nez Toledo (CSIC-Spanish National Research Council, Spain). Schedule of dates and submission deadlines Paper submission: March 16, 2018 Notice of review results: May 20, 2018 Revisions due: June 20, 2018 Publication: Aslib Journal of Information Management, volume 70, issue 5, 2018 What is the focus of this special issue? The book has always been a key scholarly communication channel across the Social Sciences and Humanities. Modern studies in these fields are generally organized according to a range of theoretical, historical and normative disciplines, including economic theory, sociology, anthropology, political science, psychology, social psychology, theology, literary criticism and law. However, for decades, most scholarly books produced from these disciplines have been relegated to a peripheral, if not absent role in evaluation studies and procedures. It is only recently that positive changes are beginning to take effect. 2011 marks the year when Clarivate Analytics (formerly Thomsen Reuters) officially announced its intention of "putting books back into the library" with the new Book Citation Index. This index, in addition to the Scopus index of books was originally seen as a new and improved opportunity to focus on the 'biblio' in bibliometrics. Exploratory research using both commercial databases, and other well-known book databases or indexes (e.g., Google Scholar, Google Books, Amazon, Goodreads, the WorldCat Union Catalog and ISBN databases) has thus been instrumental in highlighting the substantial value of books. Nevertheless, the 'value' of a book still tends to be inextricably linked to the prestige of a certain publisher as well as trends/changes within the publishing industry (e.g. open access; electronic publishing). Peer review is also fundamental to the assessment of a book's quality, and in some countries it is used almost exclusively as an evaluation tool. In light of this, bibliometrics could be one of the approaches used to counteract peer review's subjective and arbitrary aspects (e.g., bias or academic malpractice). In recent years we have seen an increase in research activity surrounding the book -- i.e., edited books, chapters, monographs, textbooks. Some of this new work is now connected to national book repositories in addition to commercial indexes, yet much of what we see in the literature points to issues concerning the fullness of data and/or metadata accuracy. It is a good time therefore to produce a special issue pertaining to scholarly books, whereby original datasets, methods, and measures might be used to push boundaries and generate new insights applicable to research and education policy. Potential topics under study include but are not limited to: * Conceptualizations and definitions of the academic book; including ?genres? considered in research assessments and differences between disciplines * The role of monograph authors and the author's original interpretation as purveyor of new knowledge * National registries of books and performance-based evaluation systems * Books and 'altmetrics' or alternative indicators of influence/impact/public visibility * Library holding counts and the perceived cultural benefit of books * The Academic publishing industry, including national and international markets, and connecting data from the publishing industry with research evaluation * The funding of academic publishing and its influence on quality * Publisher prestige and/or specialization * The commercial versus university press * Publisher rankings * Scholarly reputation of books in the digital age and the role of emerging platforms and mechanisms (e.g., e-books and new forms of electronic publishing). * Publication language - i.e., original language and translated books, and evaluation pressures towards internationalization * Commercial citation indices for books (i.e., Scopus; Book Citation Index) * The use of Google Scholar/Google Books for evaluating monographs * Bibliographic metadata and the classification of books for evaluation * The evaluative role of scholarly book reviews and book reviews in social media * Peer review standards and processes for monographs; edited books * Peer review labels for books * Open Access monographs; textbooks; edited books Submissions Papers should focus on books published for the Social Sciences and Humanities, both in terms of their scholarly role and role as change agents in society, and consider their treatment as study objects in national and/or international research evaluation contexts. All methodological approaches are welcome. Case studies and proof-of-concept studies should present new and unique findings and highlight future research possibilities and developments. Opinion pieces will not be considered for the special issue. Papers should be 4,000 to 9,000 words in length (including references) and in accordance with the journal?s author guidelines. Submissions to Aslib Journal of Information Management are made using ScholarOne Manuscripts, the online submission and peer review system. Registration and access is available here. Full information and guidance on using ScholarOne Manuscripts is available at the Emerald ScholarOne Manuscripts Support Centre. For all additional information prior to submission, please contact Alesia Zuccala (a.zuccala at hum.ku.dk). About the Journal Aslib Journal of Information Management (AJIM; previously: Aslib Proceedings, ISSN: 2050-3806) is a peer-reviewed international journal providing key insights into the latest international developments in the research and practice of information management and information science. Alesia Zuccala Associate Professor University of Copenhagen Building: 4A-2-67, S?ndre Campus, Bygn. 4, Njalsgade 76, 2300 K?benhavn S, Denmark Mobile# +45 25719286 a.zuccala at hum.ku.dk ?Inspiration exists but it has to find you working? ? Pablo Picasso [cid:03DF1520-31E1-4136-ABC1-11971E91854C at hum-iva.sc.ku.dk] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PastedGraphic-1.tiff Type: image/tiff Size: 10832 bytes Desc: PastedGraphic-1.tiff URL: