July 2022 - Listserv For Scientists

[CfP] First Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022

by Tirthankar Ghosal

*** First Workshop on Information Extraction from Scientific Publications ( WIESP) at AACL-IJCNLP 2022 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/ *** Twitter: https://twitter.com/wiesp_nlp The number of scientific papers published per year has exploded in recent years. Indexing the article's full text in search engines helps discover and retrieve vital scientific information to continue building on the shoulders of giants, informing policy, and making evidence-based decisions. Nevertheless, it is difficult to navigate this ocean of data. Using simple string matching has substantial limitations: human language is ambiguous in nature, context matters, and we frequently use the same word and acronyms to represent a multitude of different meanings. Extracting structured and semantically relevant information from scientific publications (e.g., named-entity recognition, summarization, citation intention, linkage to knowledge graphs) allows for better selection and filter articles. The First Workshop on Information Extraction from Scientific Publications ( WIESP) will create the necessary forum to foster discussion and research using Natural Language Processing and Machine Learning. WIESP would specifically focus on topics related to information extraction from scientific publications, including (but not limited to): - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata - Information extraction from COVID-19 articles to inform public health policy In addition to research paper presentations, WIESP would also feature keynote talks, a panel discussion, and a shared task. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. ***Position papers*** will give voice to authors who wish to take a position on a topic listed above or the field of scholarly information extraction. Submissions need not present original work and should be two to four pages in length, including title, text, figures and tables, and references. ***Demo papers*** should be no more than four (4) pages in length, including references, and should describe implemented systems that are of relevance to the theme of the workshop. Authors of demo papers should be willing to present a demo of their system during WIESP at AACL-IJCNLP 2022. ***Extended Abstracts*** We welcome submissions of extended abstracts (2 pages max) related to the research topics mentioned above. Submissions may include previously published results, late-breaking results, or a description of ongoing projects in the broad field of information extraction and mining from scientific publications. Extended abstracts can also summarize existing work, work in progress, or a collection of works under a unified theme (e.g., a series of closely related papers that build on each other or tackle a common problem). ***Shared Task: Detecting Entities in the Astrophysics Literature (DEAL)*** A good amount of astrophysics research makes use of data coming from missions and facilities such as ground observatories in remote locations or space telescopes, as well as digital archives that hold large amounts of observed and simulated data. These missions and facilities are frequently named after historical figures or use some ingenious acronym which, unfortunately, can be easily confused when searching for them in the literature via simple string matching. For instance, Planck can refer to the person, the mission, the constant, or several institutions. Automatically recognizing entities such as missions or facilities would help tackle this word sense disambiguation problem. The shared task consists of Named Entity Recognition (NER) on samples of text extracted from astrophysics publications. The labels were created by domain experts and designed to identify entities of interest to the astrophysics community. They range from simple to detect (ex: URLs) to highly unstructured (ex: Formula), and from useful to researchers (ex: Telescope) to more useful to archivists and administrators (ex: Grant). Overall, 31 different labels are included, and their distribution is highly unbalanced (ex: ~100x more Citations than Proposals). Submissions will be scored using both the CoNLL-2000 shared task seqeval F1-Score at the entity level and scikit-learn's Matthews correlation coefficient method at the token level. We also encourage authors to propose their own evaluation metrics. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks Participants (individuals or groups) will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with the NASA Astrophysical Data System ( https://ui.adsabs.harvard.edu/). ***Important Dates*** - Paper/Abstract Submission Deadline: August 25, 2022 - Notification of workshop paper/abstract acceptance: September 25, 2022 - Camera-ready Submission Deadline: October 10, 2022 - Workshop: November 20, 2021 (online) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: softconf.com/aacl2022/WIESP Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. Position papers, Demo papers, and Extended Abstracts need not be anonymized. The authors will present accepted papers at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings. We follow the same policies as AACL-IJCNLP 2022 regarding preprints and double submissions. The anonymity period for WIESP 2022 is from July 15 to September 25. ***Organizers*** - Tirthankar Ghosal, Charles University, CZ - Sergi Blanco-Cuaresma, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA - Robert M. Patton, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

5 months

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Reminder - SciTS 2022 Call for Abstracts Deadline April 25

by Fiore, Steve

Dear Science of Team Science Community, We wanted to remind you that we are about a week out from the deadline for abstract submissions (due on April 25th, 2022). For more information, see the conference website<https://sts.memberclicks.net/2022-call-for-abstracts>. Note, though, that abstract submissions are open, so you may submit your abstracts at any time at the abstract submission site<https://sts.memberclicks.net/index.php?option=com_mcform&view=ngforms&id=21…>. Second, as you may have seen, the call for workshops is also available<https://www.inscits.org/2022-call-for-workshops>. The deadline for workshop submissions is May 1st. Third, we are pleased to announce that Dr. Margaret Palmer, director of the National Socio-Environmental Synthesis Center (SESYNC) at the University of Maryland will be joining Dr. Wanda Ward, and Dr. Staša Milojević, as one of our invited speakers. As you know, SciTS is the flagship event of the International Network for the Science of Team Science (INSciTS). As the premier annual gathering of scholars, practitioners, and providers in the field of team science, we bring together a range of disciplines to share and advance the latest evidence-based methods in team collaboration and transdisciplinary research. Speakers and attendees include investigators, administrators, students, funders, and policymakers. Our community includes academia, government, industry, and other sectors, and spans a multitude of knowledge domain spaces. And we offer a full day of workshops free for conference attendees as our way of providing professional development for our stakeholders. Anyone interested in improving collaborative research and discovery is welcome! Recall that we are planning an in-person conference that is virtual attendee friendly. We have designed a conference for both those who wish to return to the rich experience of in-person conferences, as well as those who prefer virtual attendance while still benefiting from the knowledge exchange. And the committee is working hard to ensure a rewarding experience for our registrants. You can always review the SciTS website for more information and if you have any questions, please let us know. We look forward to seeing you this summer in Bethesda, MD. Thank you, Stephen M. Fiore, Conference Chair & Heather Billings, Conference Co-Chair On behalf of the 2022 Science of Team Science Planning Committee Science of Team Science 2022 Invited Speakers * * Dr. Margaret Palmer, Distinguished University Professor at the University of Maryland, director of the National Socio-Environmental Synthesis Center (SESYNC). Dr. Palmer is known for her work at the interface of science and policy and in bringing together collaborative, cross-disciplinary research groups that work to identify data-driven solutions to society’s most challenging and complex environmental problems and ultimately inform decision makers. * * Dr. Staša Milojević, Associate Professor of Informatics in the Luddy School of Informatics, Computing, and Engineering, and director of Center for Complex Networks and Systems Research (CNetS). Dr. Milojević is a leader in the study of the dynamics of research teams, collaborative networks, formation and evolution of scientific fields, and research metrics. She is particularly interested in understanding how dramatic changes in knowledge production, exemplified by a shift towards “team science”, interdisciplinarity, and increased pressures on productivity impact the dynamics of scientific workforce and on the overall pace of science. * Dr. Wanda E. Ward, who is Executive Associate Chancellor for Public Engagement, Office of the Chancellor, University of Illinois Urbana- Champaign. Dr. Ward is a leader in science, with 26 years at the National Science Foundation, including positions such as Senior Advisor to the Director and Head of the Office of International and Integrative Activities. She has also served on the U.S. President's National Science and Technology Council subcommittees and interagency working groups in the areas of the social, behavioral and economic sciences, and science education and workforce development. [cid:93a0efc1-efbb-4c90-9914-4dfb6f0daf44] SciTS 2022 - CALL FOR ABSTRACTS 13th Annual International Science of Team Science Conference An in-person conference that is virtual attendee friendly July 31-August 3, 2022 The Bethesdan Hotel, Bethesda, MD USA https://www.inscits.org Abstract Submissions Due April 25, 2022 We hope to see you in Bethesda this summer - and learn more and consider becoming a member of INSciTS<https://www.inscits.org/membership>. -------- Stephen M. Fiore, Ph.D. President, International Network for the Science of Team Science<https://www.inscits.org/> Professor, Cognitive Sciences, Department of Philosophy <https://philosophy.cah.ucf.edu/> <http://philosophy.cah.ucf.edu/staff.php?id=134> Director, Cognitive Sciences Laboratory<http://csl.ist.ucf.edu>, Institute for Simulation & Training<https://www.ist.ucf.edu/> <http://philosophy.cah.ucf.edu/staff.php?id=134> <http://philosophy.cah.ucf.edu/staff.php?id=134> University of Central Florida<https://www.ucf.edu/> sfiore(a)ist.ucf.edu

6 months

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8 grand challenges in socio-environmental systems modelling

by Gabriele Bammer

Unlocking the potential of socio-environmental systems modelling is discussed by Sondoss Elsawah & Tony Jakeman in their revisited blog post at https://i2insights.org/2020/03/31/grand-challenges-in-systems-modeling/. Eight grand challenges are 1) Bridging epistemologies across disciplines, 2) Integrated treatment of modeling uncertainty, 3) Combining qualitative & quantitative methods & data sources, 4) Dealing with scales & scaling, 5) Capturing systemic changes in socio-environmental systems, 6) Integrating the human dimension, 7) Elevating adoption of socio-environmental systems models & policy impact, 8) Leveraging new data types & sources. =================================================== Professor Gabriele Bammer National Centre for Epidemiology and Population Health ANU College of Health and Medicine The Australian National University 62 Mills Road Acton ACT 2601 Australia +61 2 6125 0716 Gabriele.Bammer(a)anu.edu.au<mailto:Gabriele.Bammer@anu.edu.au> @GabrieleBammer http://i2s.anu.edu.au<http://www.anu.edu.au/iisn> http://i2Insights.org<http://i2insights.org/> CRICOS Provider # 00120C ===================================================

6 months

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Reminder: Submit a science policy abstract by Aug. 3 to AGU's Fall Meeting

by K L Akerlof

Dear fellow science policy practitioners and aficionados: We kindly invite you to submit an abstract to our Science Policy session at the 2022 American Geosciences Union Fall Meeting in Chicago<https://www.agu.org/Fall-Meeting> (and online everywhere). This session is meant to showcase efforts by the science community to develop and inform effective public policies. We encourage contributions from scientists, policy makers, and science advocates! As a reminder, abstracts are due by August 3 at 23:59 EDT // 03:59 (Aug 4) GMT. Abstract submission information can be found here (description copied below): https://agu.confex.com/agu/fm22/prelim.cgi/Session/160053<https://secure-web.cisco.com/1AilNl1VjN7IWFy-F7Cxz5uHKJ28eaRwqOtm1Y6JcnXd4n…> Session ID: 160053 Title: SY022. Science Policy (Science and Society Section) Description: Science is essential for developing effective and equitable public policies. On topics from the COVID-19 pandemic to climate change and beyond, scientists have the responsibility to provide timely, evidence-based, objective analysis to policy makers and decision makers throughout all levels of government. In this session, we seek to shine a light on the science community's recent efforts to restore faith in the role of science in policy, from local- and community-level engagement to Federal policy making. We encourage abstract submissions that highlight specific science-based public policy initiatives as well as abstracts more broadly focused on science policy collaborations. We welcome submissions from scientists, policy makers, and science advocates who have worked at the interface of science and public policy. We especially want to highlight science communication and engagement practices that enable effective collaborations between scientists and policymakers. All the best, Gifford Wong // IDA STPI Kira Homola // University of Rhode Island Jamie Neely // Northwestern University Karen Akerlof // George Mason University Brittany Webster // AGU

6 months

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Interdisciplinary Team Learning

by Olivia Newton

Dear Team Science Community, I am writing to invite you to fill out a brief survey on learning in interdisciplinary teams. As you know, an important area for the team science community is how scientists learn from each other while working together. You can think of this is a kind of ‘on the job training’ where you are learning about concepts and methods from colleagues in other disciplines while you collaborate on some complex scientific problem. To help us understand how you think you learn from others, as part of my graduate research, I am collecting data from those engaged in research across disciplines. This survey should not take more than about 12 minutes of your time and it will further my research on teamwork. So I would appreciate if you could fill out the survey at the link below. * Learning in Science Teams Survey: https://ucf.qualtrics.com/jfe/form/SV_9FcQmb2ivTNDSHI If you have any questions, please let me know. Thank you, Olivia Olivia B. Newton, MSc McKnight Doctoral Fellow, Modeling and Simulation Program College of Engineering and Computer Science Graduate Research Assistant, Cognitive Sciences Laboratory School of Modeling, Simulation, and Training University of Central Florida olivianewton(a)knights.ucf.edu<mailto:olivianewton@knights.ucf.edu> olivia.newton(a)ucf.edu<mailto:olivia.newton@ucf.edu> csl.ist.ucf.edu<http://csl.ist.ucf.edu/> Please note: Florida has a very broad open records law (F.S. 119). Emails may be subject to public disclosure.

6 months

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Community engagement in international research

by Gabriele Bammer

Community engagement in international research is discussed by Aysha Fleming in https://i2insights.org/2022/07/26/community-engagement-in-international-res…. It needs 1) project design that includes considering culture, networks, approvals, time & trust, plus clear communication, 2a) individual skills especially being open-minded & willing to learn, sharing & listening, stepping outside 'box', being reflexive, 2b) collective competencies especially open & inclusive communication, building relationships, accepting validity of different knowledges, 3) processes to support knowledge integration, as integration is an explicit task that doesn't just happen if you put people together. It is never perfect but through sharing learnings & building capacity to be reflexive, practices & on-ground outcomes can be improved. =================================================== Professor Gabriele Bammer National Centre for Epidemiology and Population Health ANU College of Health and Medicine The Australian National University 62 Mills Road Acton ACT 2601 Australia +61 2 6125 0716 Gabriele.Bammer(a)anu.edu.au<mailto:Gabriele.Bammer@anu.edu.au> @GabrieleBammer http://i2s.anu.edu.au<http://www.anu.edu.au/iisn> http://i2Insights.org<http://i2insights.org/> CRICOS Provider # 00120C ===================================================

6 months

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[CfP] METRICS 2022: ASIS&T VIRTUAL WORKSHOP ON INFORMETRICS AND SCIENTOMETRICS RESEARCH

by Tirthankar Ghosal

METRICS 2022: ASIS&T VIRTUAL WORKSHOP ON INFORMETRICS AND SCIENTOMETRICS RESEARCH Virtual workshop sponsored by ASIS&T SIG/MET ASIS&T 2022 Annual Meeting - Part I: Saturday, October 8, 2022, 8:00 a.m. – 12:00 p.m. EDT - Part II: Sunday, October 9, 2022, 8:00 a.m. – 12:00 p.m. EDT Website: https://www.asist.org/2022/06/14/metrics-2022-asist-virtual-workshop-on-inf… *CALL FOR ABSTRACTS* The ASIS&T Special Interest Group for Metrics (SIG/MET) invites contributions to the METRICS 2022 workshop, which will be held prior to the 85th ASIS&T Annual Meeting. The workshop continues the successful SIG/MET workshop series held annually since 2011 by providing an opportunity to present and discuss research related to the measurement of knowledge production, dissemination, and use among experienced researchers, young academics, and practitioners. We invite abstracts describing empirical or theoretical work, related but not limited to: - Altmetrics - Bibliometric-enhanced information retrieval - Bibliometrics - Informetrics - Open access - Open science - Patent analysis - Quantitative science studies - Research evaluation - Scholarly communication - Science communication - Science of science - Scientometrics *SUBMISSIONS* The following four types of submission are accepted: - *Research presentations*, for completed or in-progress research. [Presentation] - *Posters* for work in early stages or best presented visually. [Poster] - *Tutorials* for practical information on a tool or method. [Tutorial] - *Panels* for discussions on a specific topic. [Panel] Please indicate the type of submission by naming the file in the following format: Metrics22_First Author's Last Name + First Name Initials_Submission Type (e.g., Metrics22_ChenPY_Presentation). All submissions should be in the form of a *two-page extended abstract* using APA style and formatted according to the AM22 Proposal Template Instructions <https://growthzonesitesprod.azureedge.net/wp-content/uploads/sites/946/Temp…>. Where appropriate, up to three figures/tables can be provided. Do not include any author names on the file you upload. The abstracts of accepted papers and posters, as well as the presentation slides, will be deposited on Zenodo <https://zenodo.org/> to enhance the visibility and retrievability of the presented research. Please submit your abstract as a PDF to https://easychair.org/conferences/?conf=metrics2022 *Submissions will be evaluated by at least two independent reviewers based on their relevance to the workshop and their methodological soundness (where applicable), and brief feedback will be given in narrative format.* *AWARDS* Thanks to the generous sponsorship from the International Center for the Study of Research (ICSR) <https://www.elsevier.com/icsr>, the workshop will present the *Best Student Paper Awards* and *Best Paper Award* this year to recognize the excellence of the presenting work (excluding *posters*). Up to three awardees will be selected for the Best Student Paper Awards. *To be considered for the best student paper, the first author of the paper entered into this contest must be a full-time student at the time of submission*, irrespective of ASIS&T or SIG/MET membership. Please also indicate Student on the name of the submitted file, e.g., Metrics22_ChenPY_Presentation_Student, even if the co-authors are non-students. One best paper will also be selected from all accepted papers regardless of their topic. However, to ensure fairness, a paper cannot be awarded both as best paper and best student paper at the same time. In other words, if a student paper is selected to be the best paper, it will not be considered for the best student paper awards. *The winners of both awards will be decided by a double-blind peer review process from the eligible accepted submissions.* The awards will be decided before the presentations take place, but the authors must present at the workshop to qualify. *We offer a cash prize of $500 for the Best Paper Award and $250 for the Best Student Paper Award.* *IMPORTANT DATES* - Submissions due: Friday, July 22th, 2022 EDT - Notifications: Friday, August 19th, 2022 EDT *REGISTRATION* In an effort to provide an open venue for communication and discussion on metrics-related research, we are offering free registration for ASIS&T members and discounted registration fees for non-members this year. *Rate* *Member/Regular* *Member/Student* *Non-member/Regular* *Non-member/Student* Early (by August 12) $0 $0 $25 $10 After August 12 $25 $25 $50 $35 More information on registration rates can be found at https://www.asist.org/am22/22registration/. *ORGANIZERS* - Pei-Ying Chen, Indiana University, Bloomington, Indiana, USA ( peiychen(a)iu.edu) - Isabelle Dorsch, Heinrich Heine University Düsseldorf, Düsseldorf, Germany (isabelle.dorsch.hhu.de) - Fei Shu, Hangzhou Dianzi University, Hangzhou, China; Université de Montréal, Montréal, Canada (fei.shu(a)mail.mcgill.ca) *SPONSORS* International Center for the Study of Research <https://www.elsevier.com/icsr> -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

6 months, 1 week

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Key requirements for interdisciplinary research

by Gabriele Bammer

Key requirements for interdisciplinary research are described by Catherine Lyall in her revisited blog post at https://i2insights.org/2020/01/21/serendipity-for-interdisciplinarity/. They include: 1) informal interactions, especially time & space for frequent sustained discussions with colleagues to see what shared interests might arise, 2) communal spaces & informal meeting points where accidental relationships can form & be nurtured, 3) enduring personal networks across a breadth of groups to spawn new ideas and 4) extra time to build & sustain relationships, learn new concepts, access new literature, fail, think ie slow science. =================================================== Professor Gabriele Bammer National Centre for Epidemiology and Population Health ANU College of Health and Medicine The Australian National University 62 Mills Road Acton ACT 2601 Australia +61 2 6125 0716 Gabriele.Bammer(a)anu.edu.au<mailto:Gabriele.Bammer@anu.edu.au> @GabrieleBammer http://i2s.anu.edu.au<http://www.anu.edu.au/iisn> http://i2Insights.org<http://i2insights.org/> CRICOS Provider # 00120C ===================================================

6 months, 1 week

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[CfP] Shared Task on Detecting Entities in the Astrophysics Literature (DEAL) at AACL-IJCNLP 2022

by Tirthankar Ghosal

***Shared Task: Detecting Entities in the Astrophysics Literature (DEAL)*** ***Website: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks *** ***Twitter: https://twitter.com/wiesp_nlp *** A good amount of astrophysics research makes use of data coming from missions and facilities such as ground observatories in remote locations or space telescopes, as well as digital archives that hold large amounts of observed and simulated data. These missions and facilities are frequently named after historical figures or use some ingenious acronym which, unfortunately, can be easily confused when searching for them in the literature via simple string matching. For instance, Planck can refer to the person, the mission, the constant, or several institutions. Automatically recognizing entities such as missions or facilities would help tackle this word sense disambiguation problem. The shared task consists of Named Entity recognition (NER) on samples of text extracted from astrophysics publications. The labels were created by domain experts and designed to identify entities of interest to the astrophysics community. They range from simple to detect (ex: URLs) to highly unstructured (ex: Formula), and from useful to researchers (ex: Telescope) to more useful to archivists and administrators (ex: Grant). Overall 31 different labels are included, and their distribution is highly unbalanced (ex: ~100x more Citations than Proposals). Submissions will be scored using both the CoNLL-2000 shared task seqeval F1-Score at the entity level, and scikit-learn's Matthews correlation coefficient method at the token level. We also encourage authors to propose their own evaluation metrics. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks Participants (individuals or groups) will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with the NASA Astrophysics Data System ( https://ui.adsabs.harvard.edu/). The DEAL shared task is a part of the *1st Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022: * https://ui.adsabs.harvard.edu/WIESP/2022/ ***Please fill in this form to report your intention to participate in the shared task*** https://forms.office.com/r/KKpeKJBLy3 ***Shared Task Submission*** Link to data and scoring scripts: https://huggingface.co/datasets/fgrezes/WIESP2022-NER CodaLab Link to the online competition : https://codalab.lisn.upsaclay.fr/competitions/5062 ***Important Dates*** - Training+Validation Data Release: June 1, 2022 - Validation Phase: June 1 - July 31, 2022 - Test Data Release: August 1, 2022 - Final Scoring Period: August 1 - August 10, 2022 - System Report Submission: August 25, 2022 - Notification: September 25, 2022 - Camera-ready Submission Deadline: October 10, 2022 - Event Date: November 20, 2022 (online) ***All submission deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”)*** ***Organizers*** - Tirthankar Ghosal <https://elitr.eu/tirthankar-ghosal>, Charles University, CZ - Sergi Blanco-Cuaresma <https://www.blancocuaresma.com/s/>, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi <https://ui.adsabs.harvard.edu/about/team/team/aaccomazzi.html>, Center for Astrophysics | Harvard & Smithsonian, USA - Robert M. Patton <https://www.ornl.gov/staff-profile/robert-m-patton>, Oak Ridge National Laboratory, USA - Felix Grezes <https://ui.adsabs.harvard.edu/about/team/team/fgrezes.html>, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen <https://ui.adsabs.harvard.edu/about/team/team/tallen.html>, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

6 months, 1 week

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Improving collaboration success by using a collaboration agreement template

by Gabriele Bammer

Improving collaboration success by using a collaboration agreement template is discussed by L. Michelle Bennett, Edgar Cardenas and Michael O'Rourke in https://i2insights.org/2022/07/19/collaboration-agreement-template/. The template provides guidance for discussing team management, team dynamics & team communication, plus a process for researching agreement. Team management involves shared view of success, holding each other accountable & deciding how decisions will be made. Team dynamics involves psychological safety, managing differences, creating a safe space & responding to conflict. Team communication involves norms for dialogue, mechanisms for communication & strategies for incorporating diversity in perspectives. =================================================== Professor Gabriele Bammer National Centre for Epidemiology and Population Health ANU College of Health and Medicine The Australian National University 62 Mills Road Acton ACT 2601 Australia +61 2 6125 0716 Gabriele.Bammer(a)anu.edu.au<mailto:Gabriele.Bammer@anu.edu.au> @GabrieleBammer http://i2s.anu.edu.au<http://www.anu.edu.au/iisn> http://i2Insights.org<http://i2insights.org/> CRICOS Provider # 00120C ===================================================

6 months, 1 week

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2023

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2020

Listserv For Scientists July 2022