June 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 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

1 month, 1 week

1
2
0 0

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

2 months, 1 week

1
6
0 0

[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 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

2 months, 2 weeks

1
1
0 0

[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 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

2 months, 2 weeks

1
2
0 0

INSciTS Summer of Team Science Pre-Conference Event

by Fiore, Steve

Dear SciTS Community and Colleagues - This summer, as a prelude to our SciTS 2022, INSciTS is hosting periodic virtual seminars on new and developing areas of research in the science of team science. Our goal is to provide the SciTS community with an opportunity to engage with exciting areas of research in preparation for our more in-depth get together during the 2022 conference later in the summer. Below and attached you’ll find information on our upcoming session, along with information on how to register. Registration is free for these events. Stay tuned for information on upcoming sessions. If you have any questions, please contact Maritza.Salazar(a)uci.edu. Feel free to forward this to students and colleagues you think might be interested. INSciTS Summer Panel 1 Future Directions in Team Science: Exploring the Role of Big Data and Data Analytics Wednesday, June 15, 2022 9:00am (PDT), 12:00noon (EDT), 6:00pm (CET) In this virtual panel, our experts will discuss novel data analytic techniques and their influence on the science of team science. They will discuss how these techniques can provide unique insights to scientific collaboration. Participants will have the opportunity to ask questions about big data techniques and how they can inform their own research interests. Pranav Gupta, PhD, Carnegie Mellon University, Tepper School of Business William Barley, PhD, University of Illinois, Urbana-Champaign, Department of Communications Diego Gomez-Zara, Northwestern University, Kellogg School of Management Fengli Xu, PhD, University of Chicago, Sociology Department Register for event here: https://www.eventbrite.com/e/future-directions-exploring-the-role-of-big-da… -------- 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

3 months, 1 week

1
2
0 0

Dealing with complexity in social systems

by Gabriele Bammer

Dealing with complexity in social systems requires understanding 15 characteristics as described by Hamilton Carvalho in his revisited blog post at: https://i2insights.org/2020/03/17/fifteen-aspects-of-complex-systems/. They are: 1) networks of heterogeneous social actors, 2) emergence, 3) an endogenous view, 4) nonlinearity 5) scaling & Pareto principle, 6) different time scales, 7) path dependence, 8) delays & accumulation of stocks, 9) adaptation, learning & exploitation, 10) surprising & counter-intuitive behaviours, 11) policy resistance, 12) temporal trade-offs, 13) resilience,14) local rationality, and 15) balance of power & narratives. =================================================== 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 ===================================================

3 months, 1 week

1
0
0 0

Check out the new look Integration & Implementation Sciences (i2S) News

by Gabriele Bammer

Check out the new look Integration & Implementation Sciences (i2S) News, with new FAQ about stakeholder engagement and where i2S fits amongst transdisciplinarity, systems thinking, action research etc. i2S News also provides information about additions to i2Insights blog & repository plus i2S Talks YouTube channel. Links to recent conference presentations and other updates are also provided. https://i2s.anu.edu.au/wp-content/uploads/2022/06/2022-04_i2S-news.pdf =================================================== 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 ===================================================

3 months, 1 week

1
0
0 0

Providing better understanding of ignorance

by Gabriele Bammer

Providing better understanding of ignorance is the aim of Michael Smithson's blog post https://i2insights.org/2022/06/28/ignorance-taxonomy/. Ignorance is not just absence of knowledge, but is socially constructed & comes in different kinds, including 1) lacking knowledge & possessing incorrect beliefs, as well as ignoring things, 2) confusing something for something else, inaccuracy, uncertainty whether something will happen, disagreements among experts, ambiguity & vagueness, 3) things don't need or want to know, matters that are forbidden & matters where cannot determine whether true or false, 4) non-knowledge, negative knowledge & nescience (unknown unknowns). =================================================== 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 ===================================================

3 months, 1 week

1
0
0 0

[CfP] First Shared Task on Multi-Perspective Scientific Document Summarization (MuP) at 3rd SDP @ COLING 2022

by Tirthankar Ghosal

***Call for Participation*** ***First Shared Task on Multi-Perspective Scientific Document Summarization (MuP)*** Website: https://github.com/allenai/mup Generating summaries of scientific documents is known to be a challenging task. The majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evaluate the quality of summarization systems, as writing summaries is a subjective activity. At the same time, annotating multiple gold summaries for scientific documents can be extremely expensive as it requires domain experts to read and understand long scientific documents. This shared task will enable exploring methods for generating multi-perspective summaries. We introduce a novel summarization corpus, leveraging data from scientific peer reviews to capture diverse perspectives from the reader's point of view (each paper has multiple summaries reflecting multiple perspectives of the reader). The MuP shared task is a part of the 3rd Scholarly Document Processing (SDP) workshop at COLING 2022. https://sdproc.org/2022/ More details on the shared task and the corresponding dataset can be found on: https://github.com/allenai/mup ****Please fill in this form to participate in the shared task*** * https://forms.gle/K2UECKvmghzDHUpo7 The leaderboard for the shared task will be announced soon on the website. Shared Task Timelines Training Data Release: May 10, 2022 Test Data Release: June 30, 2022 Evaluation Period: July 1 - July 15, 2022 System Description Papers Due: August 1, 2022 Reviews Notification: August 15, 2022 Camera-Ready Papers Due: September 5, 2022 Event at SDP @ COLING 2022: October 16/17, 2022 MuP 2022 Organizers 1. Guy Feigenblat - Piiano, Israel 2. Arman Cohan - AI2, US 3. Tirthankar Ghosal - ÚFAL, Charles University, Czechia 4. Michal Shmueli-Scheuer - IBM Research AI, Israel -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

3 months, 1 week

1
1
0 0

Advanced considerations in understanding diversity: part 10 of a new introductory guide

by Gabriele Bammer

Advanced considerations in understanding diversity: part 10 of a new introductory guide to the importance of diversity in research https://i2insights.org/2022/06/23/diversity-advanced-considerations/. Improving diversity in research includes: 1) fostering plural innovation pathways & research consortia with a plurality of research trajectories comprised of different epistemic combinations, 2) expanding multidisciplinary research to increase awareness of different perspectives & benefits of multiple ways of integration, 3) systematically learning from successes eg in gender-diversity & cultural diversity esp in decolonising research & valuing Indigenous, local & lived experience knowledge, 4) systematically learn from failure eg in choosing effective tools, in generating insights & in working together effectively. Improving diversity in research is hard, time-consuming & risky with no easy answers for choosing which kinds, how much & best ways. Do we need "diversity 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 ===================================================

3 months, 2 weeks

1
0
0 0