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[Corpora-List][CfP] LaCATODA 2022 at ACII 2022, Nara, Japan (Linguistic and Cognitive Approaches to Dialog Agents)
by Ptaszynski Michal 19 Jun '22

19 Jun '22

Dear Colleagues, ** Sorry for cross-postings ** This year our workshop LaCATODA 2022 will be co-located with ACII 2022. Please, consider submitting a paper. The accepted papers will be published in the ACII workshop proceedings indexed by IEEExplore. Best regards, Michal Ptaszynski in the name of LaCATODA 2022 organizers, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp http://arakilab.media.eng.hokudai.ac.jp/~ptaszynski/ ========================================================== The Eighth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2022) (ACII 2022 Workshop) http://arakilab.media.eng.hokudai.ac.jp/ACII2022/ Venue: Nara, Japan & online (in conjunction with ACII, https://acii-conf.net/2022/) ========================================================== WHAT IS LaCATODA? A multidisciplinary workshop for researchers who develop dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically. We are interested in original papers on systems and ideas for systems that use common sense knowledge and reasoning, affective computing, cognitive methods, learning from broad sets of data and acquiring knowledge, or language and user preferences. ------------------------------------------------------------------ Important Dates: Paper submission: 20 July 2022 (11:59PM UTC-12:00, "anywhere on Earth") Notification of acceptance: 4 August 2022 Camera-Ready submission: 14 June 2022 LaCATODA 2022 Workshop: 17 October 2022 Submission: https://easychair.org/conferences/?conf=lacatoda2022 ------------------------------------------------------------------ Relevant Topics: - Affective computing - Agent-based information retrieval - Attention and focus in dialog processing - Artificial assistants - Artificial tutors - Common sense, knowledge and reasoning - Computational cognition - Conversational theories - Daily life dialog systems - Emotional intelligence simulations - Ethical reasoning - Humor processing - Language acquisition - Machine learning for / from dialogs - Text mining for / from dialogs - Philosophy of interaction / communication - Preference models - Unlimited question answering - User modeling - Wisdom of Crowds approaches - World knowledge acquisition - Systems and approaches combining above topics Organizers: Rafal Rzepka, Hokkaido University, Japan Jordi Vallverdú, Autonomous University of Barcelona, Spain Andre Wlodarczyk, Charles de Gaulle University, France Michal Ptaszynski, Kitami institute of Technology, Japan Pawel Dybala, Jagiellonian University, Poland

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[Corpora-List]Johns Hopkins University: Postdoc Positions
by Mark Dredze 17 Jun '22

17 Jun '22

The Center for Language and Speech Processing (CLSP) at Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record. Possible research topics include: - Explainable AI, natural language processing and medicine - Text generation and training large language models - Information extraction, retrieval, question answering, and human-in-the-loop learning Johns Hopkins University is a private university located in Baltimore, Maryland with easy access to a number of affordable and vibrant neighborhoods. CLSP is one of the world’s largest academic centers focused on speech and language with a dozen faculty members and over 80 graduate students. It has a history of placing students in top academic and industry positions. Applicants are not required to be US citizens or permanent residents. Details and application information: https://www.clsp.jhu.edu/employment-opportunities/

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[Corpora-List][CFP] 2nd Multilingual Representation Learning (MRL) Workshop at EMNLP 2022
by Gozde Gul 17 Jun '22

17 Jun '22

Dear all, It is our great pleasure to invite you to the second edition of multilingual representation learning that will be held at EMNLP 2022 (as a hybrid WS) on December 8, 2022. The details regarding the paper submission and the shared task are given below: ----------------------------- IMPORTANT DATES ----------------------------- *- Latest ARR deadline for paper submissions: September 1, 2022* - The last ARR commitment deadline: October 15, 2022 - Paper notifications: November 2, 2022 - Camera-Ready Papers due: November 9, 2022 - Main Conference: December 7-11, 2022 *- Workshop: December 8, 2022* (All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”)) --------------------------- AIMS AND SCOPE --------------------------- The 2nd MRL Workshop invites participants to share and discuss recent findings on multi-lingual representation learning methods and their application in different settings. The main objectives of the workshop will be: To construct and present a wide array of multi-lingual representation learning methods, including their theoretical formulation and analysis, practical aspects such as the application of current state-of-the-art approaches in transfer learning to different tasks or studies on adaptation into previously under-studied context; To provide a better understanding on how the language typology may impact the applicability of these methods and motivate the development of novel methods that are more generic or competitive in different languages; To promote collaborations in developing novel software libraries or benchmarks in implementing or evaluating multi-lingual models that would accelerate progress in the field. By allowing a communication means for research groups working on machine learning, linguistic typology, or real-life applications of NLP tasks in various languages, to share and discuss their recent findings, our ultimate goal is to support rapid development of NLP methods and tools that are applicable to a wider range of languages. ---------------------- SUBMISSIONS ---------------------- Research papers: We invite all potential participants to submit their novel research contributions in the related fields as long papers following the EMNLP 2021 long paper format (anonymized with 8 pages excluding the references, and an additional page for the camera-ready versions for the accepted papers). All accepted research papers will be published as part of our workshop proceedings and presented either as oral or poster presentations. Our research paper track only accepts submissions made to the ACL Rolling Review. Extended abstracts: Besides long paper submissions, we also invite previously published or ongoing and incomplete research contributions to our non-archival extended abstract track. All extended abstracts can use the same EMNLP template with a 2-page limit, excluding the bibliography. Extended abstracts can be submitted to the workshop submission system using the softconf link: https://softconf.com/emnlp2022/mrl-2022 <https://urldefense.proofpoint.com/v2/url?u=https-3A__softconf.com_emnlp2022…> . ---------------------- Shared Task ---------------------- MRL 2022 features a new shared task on Multilingual Clause-level Morphology, which aims to provide a new evaluation benchmark for assessing multilingual representation learning models in terms of linguistic and cross-lingual generalization capabilities. We invite all interested peers in getting in touch about participation following the website https://sigtyp.github.io/st2022-mrl.html and mailing list participants-mcmsharedtask-2022(a)googlegroups.com. We anticipate awarding a prize for the shared task winning team and a presentation devoted to them. ------------------------- Best Paper Award ------------------------- A Best Paper Award will be presented at the workshop. ------------------------- Invited Speakers ------------------------- Ev Fedorenko, Massachusetts Institute of Technology Kyunghyun Cho, New York University Razvan Pascanu, DeepMind ------------------------ *Contact * Email: mrlw2022(a)gmail.com Website: https://sigtyp.github.io/ws2022-mrl.html *Organizers: * Duygu Ataman Orhan Firat Hila Gonen Jamshidbek Mirzakhalov Kelechi Ogueji Sebastian Ruder Gözde Gül Şahin On behalf of the organization committee, --------------------------- Gözde Gül Şahin Assistant Professor Computer Engineering Department Koç University https://gozdesahin.github.io/

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[Corpora-List]Webminar by Mikel Artetxe (FAIR (Meta AI))
by HiTZ zentroa 16 Jun '22

16 Jun '22

Dear colleague, The last post concerning the upcoming HiTZ webinar included incorrect information about the summary. This email contains the correct information. Apologies for the mix up! We are happy to announce an additional webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). Instead of the usual afternoon hour, it will take place at 10:00am CET (June 24). Next webinar: Speaker: Mikel Artetxe (FAIR (Meta AI)) Title: Is scale all you need? Date: Jun 24, 2022, 10:00 CET Summary: Every once in a while, a new language model with gazillion parameters makes a big splash in Twitter, smashing the previous SOTA in some benchmarks or showing some impressive emerging capabilities. While some may argue that scaling will eventually solve NLP, others are skeptical about the scientific value of this trend. In this talk, I will argue that scaling is not just engineering, but also comes with exciting research questions. I will present some of our recent work in the topic, and discuss our efforts to make large language models more accessible for the community. Bio:Mikel Artetxe is a Research Scientist at FAIR (Meta AI). His primary area of research is multilingual NLP. Mikel was one the pioneers of unsupervised machine translation, and has done extensive work on cross-lingual representation learning. More recently, he has also been working on natural language generation, few-shot learning, and large-scale language models. Prior to joining FAIR, Mikel did his PhD at the IXA group at the University of the Basque Country, and interned at DeepMind, FAIR and Google. Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa Unsuscribe: If you do not wish to receive further emails from us, please feel free to contact us

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[Corpora-List]Webminar by Mikel Artetxe (FAIR (Meta AI))
by HiTZ zentroa 16 Jun '22

16 Jun '22

*** We apologize for the multiple copies of this email. In case y Dear colleague, We are happy to announce an additional webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). Instead of the usual afternoon hour, it will take place at 10:00am CET (June 24). Next webinar: Speaker: Mikel Artetxe (FAIR (Meta AI)) Title: Is scale all you need? Date: Jun 24, 2022, 10:00 CET Summary: The development of advanced spoken language technologies based on automatic speech recognition (ASR) and text-to-speech synthesis (TTS) has enabled computers to either learn how to listen or speak. Many applications and services are now available but still support fewer than 100 languages. Nearly 7000 living languages that are spoken by 350 million people remain uncovered. This is because the construction is commonly done based on machine learning trained in a supervised fashion where a large amount of paired speech and corresponding transcription is required. In this talk, we will introduce a semi-supervised learning mechanism based on a machine speech chain framework. First, we describe the primary machine speech chain architecture that learns not only to listen or speak but also to listen while speaking. The framework enables ASR and TTS to teach each other given unpaired data. After that, we describe the use of machine speech chain for code-switching and cross-lingual ASR and TTS of several languages, including low-resourced ethnic languages. Finally, we describe the recent multimodal machine chain that mimics overall human communication to listen while speaking and visualizing. With the support of image captioning and production models, the framework enables ASR and TTS to improve their performance using an image-only dataset. Summary: Every once in a while, a new language model with gazillion parameters makes a big splash in Twitter, smashing the previous SOTA in some benchmarks or showing some impressive emerging capabilities. While some may argue that scaling will eventually solve NLP, others are skeptical about the scientific value of this trend. In this talk, I will argue that scaling is not just engineering, but also comes with exciting research questions. I will present some of our recent work in the topic, and discuss our efforts to make large language models more accessible for the community. Bio:Mikel Artetxe is a Research Scientist at FAIR (Meta AI). His primary area of research is multilingual NLP. Mikel was one the pioneers of unsupervised machine translation, and has done extensive work on cross-lingual representation learning. More recently, he has also been working on natural language generation, few-shot learning, and large-scale language models. Prior to joining FAIR, Mikel did his PhD at the IXA group at the University of the Basque Country, and interned at DeepMind, FAIR and Google. Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa Unsuscribe: If you do not wish to receive further emails from us, please feel free to contact us

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[Corpora-List]Permanent position as Associate Professor in NLP
by Marco Kuhlmann 15 Jun '22

15 Jun '22

[Final reminder; deadline 2022-06-22] The Natural Language Processing Group at Linköping University is announcing a permanent, full-time position as Associate Professor in Natural Language Processing For more information about this position and how to apply, see https://www.ida.liu.se/divisions/aiics/nlp/associate-professor.html Please do not hesitate to contact me for details and discussion. Best regards Marco Kuhlmann Professor Department of Computer and Information Science Linköping University

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[Corpora-List]Call for internships in Semantic Change detection
by Nina Tahmasebi 15 Jun '22

15 Jun '22

Dear Colleagues, The Change is Key! Programme (https://changeiskey.org/) and the Towards Computational Lexical Semantic Change Detection project (https://languagechange.org/) are offering up to three internships for PhD students and postdocs working on computational models for semantic change. Internship dates: between 2022/10/01 until 2023/06/30 Duration: between 3 and 6 months Location: University of Gothenburg (Sweden) or Queen Mary University London (UK) or IMS Stuttgart (Germany) These are unpaid internships. Travel and accommodation are provided by the host universities You can find more about the internships here: https://www.changeiskey.org/post/22-06-13-call-for-internships/ We look forward to your application! -- Nina N. Tahmasebi, Associate Professor Språkbanken • Change is Key! +46 (0) 31 786 6953 nina.tahmasebi(a)gu.se<mailto:nina.tahmasebi@gu.se> http://spraakbanken.gu.se/eng/personal/nina https://changeiskey.org/ https://languagechange.org/ http://tahmasebi.se/ https://gu-se.zoom.us/my/ninatahmasebi “If at first, the idea is not absurd, then there is no hope for it” -Albert Einstein.

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[Corpora-List]Research software engineer in the area of corpus linguistics / Deadline extension to 2022-07-01
by Marc Kupietz 15 Jun '22

15 Jun '22

Job advertisement(see original version here) The Leibniz Institute for the German Language (IDS) in Mannheim, founded in 1964, is the leading international scientific centre for the documentation and research of the German language and its use in the present and recent history. The IDS has an annual budget of around 13.6 million Euro and currently employs 220 staff. Together with 96 other non-university research and infrastructure institutions, it belongs to the Leibniz Association. The IDS has a vacancy for the following full-time (39.5 hours per week) or part-time (at least 65%) position in the Department of Digital Linguistics: Research Associate Research Software Engineer (RSE): Development & Operation in the field of corpus linguistics / text mining (Reference number 19/2022) The employment relationship is limited to up to 2 years, depending on personal requirements. Remuneration is dependent on your qualifications and experience up to pay group 13 TV-L. The position is located in the program area of corpus linguistics, which, among other things, develops the German Reference Corpus (DeReKo), an electronic research data basis for German linguistics, and the methods and research tools necessary for its linguistic use. Your area of responsibility essentially includes * Further development and operation of research software for the linguistic analysis of very large text corpora * Collaboration on scientific publications * Development of software tests for scientific quality management * Development and operation of DevOps workflows * Collaboration in the administration and maintenance of CentOS/Rocky Linux servers (especially Apache HTTP Server, Gerrit Code Review, systemd) * Continuous security and dependency updates Requirements * A completed university degree or doctorate in linguistics, computational linguistics, digital humanities or a comparable degree * Experience in research software development and big data analysis and processing * Programming experience, ideally with Java, C and Perl * Experience in Unix system administration * Experience with the version management system git * Very good language skills in German or English Knowledge in several of the following areas is also desirable: * Knowledge of IT security, AAI, OAuth * Knowledge in the area of DevOps * Experience with CI workflows (github or gitlab) * Experience in the area of container virtualization (Docker, Podman, …) We offerWorking in a committed FOSS-RSE team and the opportunity to productively use the latest and innovative RSE technologies. An interesting scientific field of work in a large research institute, in which there are many opportunities for cooperation both within and across projects. We support our employees in gaining further academic qualifications. We also offer an attractive pension scheme, cost subsidies for childcare and performance-related remuneration in accordance with the collective agreement of the Länder. IDS pursues the goal of professional equality between women and men and strives to increase the proportion of women in those areas in which they are underrepresented. Applications from women are therefore expressly welcome. The compatibility of work and family is particularly promoted by the IDS. IDS welcomes applications from severely disabled persons. Please send your convincing written application (letter of motivation, curriculum vitae, references, if applicable list of publications) summarised in a PDF document (max. 5 MB) by 10 June 1 July 2022 by e- mail to: Leibniz Institute for the German Language (IDS) Staff position E-mail: [bewerbungen(at)ids-mannheim.de] The interviews are expected to take place via online video conference. For further information, please contact Dr Marc Kupietz by e-mail at [kupietz(at)ids-mannheim.de.]

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[Corpora-List]June 2022 Newsletter - LDC
by Penn LDC 15 Jun '22

15 Jun '22

In this newsletter: LDC at LREC 2022 LDC data and commercial technology development 30th Anniversary Highlight: TIMIT New publication: Second DIHARD Challenge Evaluation - Eleven Sources<https://catalog.ldc.upenn.edu/LDC2022S06> ________________________________ LDC at LREC 2022 LDC will attend the 13th Language Resource Evaluation Conference (LREC2022<https://lrec2022.lrec-conf.org/en/>), hosted by ELRA, the European Language Resource Association, in Marseille, France June 20-25, 2022. Several LDC staff members will be presenting current work on topics including WeCanTalk: A New Multi-language, Multi-modal Resource for Speaker Recognition; Reflections on 30 Years of Language Resource Development and Sharing; A Study in Contradiction: Data and Annotation for AIDA Focusing on Informational Conflict in Russia-Ukraine Relations; Data Protection, Privacy and US Regulation; BeSt: The Belief and Sentiment Corpus; and more. Stay tuned for specific announcements on LDC's social media pages regarding presentation times and locations. Following the conference, LDC's presented papers and posters will be available on the Papers Page.<https://www.ldc.upenn.edu/language-resources/papers/ldc-papers> LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. 30th Anniversary Highlight: TIMIT The TIMIT Acoustic-Phonetic Continuous Speech Corpus is another of the classic releases in LDC's Catalog. Designed for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems, it contains recordings of 630 American English speakers each reading 10 phonetically rich sentences, for a total of 6300 utterances comprising 2342 distinct sentences. Data collection and annotation were a joint effort by Texas Instruments, the Massachusetts Institute of Technology, and SRI International, and the data release was prepared by NIST (National Institute of Standards and Technology). TIMIT was among the first publications that appeared with the launch of LDC's catalog in 1993. It remains one of the Consortium's top ten distributed corpora and may be the single most widely-used speech database. Despite its age and small size relative to modern data sets, TIMIT's wide range of phonetically-representative inputs, its time-aligned lexical and phonemic transcripts, and its easy availability through the LDC Catalog have contributed to its widespread use and continued popularity. Thousands of researchers remember its famous first sentence: "she had your dark suit in greasy wash water all year". LDC continues the TIMIT series with its Global TIMIT project which aims to create a series of corpora in a variety of languages with TIMIT-like features. (Chanchaochai et al., 2018). Data sets published from that project include: Global TIMIT Learner Treebank English, Global TIMIT Learner Simple English, Global TIMIT Mandarin Chinese - Guanzhong Dialect, and Global TIMIT Mandarin Chinese. The LDC Catalog features over 900 holdings in more than 90 languages and more data is added each year. All TIMIT corpora are available for licensing by Consortium members and non-members. Visit Obtaining Data<https://www.ldc.upenn.edu/language-resources/data/obtaining> for more information. ________________________________ New publication: Second DIHARD Challenge Evaluation - Eleven Sources<https://catalog.ldc.upenn.edu/LDC2022S06> was developed by LDC and contains approximately 20 hours of English and Chinese speech data along with corresponding annotations used in support of the Second DIHARD Challenge<https://dihardchallenge.github.io/dihard2>. The DIHARD second development and evaluation sets were drawn from diverse sources including monologues, map task dialogues, broadcast interviews, sociolinguistic interviews, meeting speech, speech in restaurants, clinical recordings, extended child language acquisition recordings, and web videos. Annotations include diarization and segmentation. Second DIHARD Challenge Evaluation - Eleven Sources is distributed via web download. 2022 Subscription Members will automatically receive copies of this corpus. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options; or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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[Corpora-List][CfP] METRICS 2022: ASIS&T VIRTUAL WORKSHOP ON INFORMETRICS AND SCIENTOMETRICS RESEARCH
by Tirthankar Ghosal 15 Jun '22

15 Jun '22

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 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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