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Fwd: [WI] CfP: WI2022 - Track “Human Computer Interaction and digital assistance systems”
by Gustaf Neumann 11 Jul '21

11 Jul '21

-------- Forwarded Message -------- Subject: [WI] CfP: WI2022 - Track “Human Computer Interaction and digital assistance systems” Date: Fri, 9 Jul 2021 16:16:57 +0200 From: Milad Mirbabaie <milad.mirbabaie(a)uni-paderborn.de> Reply-To: Milad Mirbabaie <milad.mirbabaie(a)uni-paderborn.de> To: wi(a)lists.kit.edu Sehr geehrte Kolleginnen und Kollegen, gerne möchten wir Sie auf den Call for Papers des Tracks „Human Computer Interaction and digital assistance systems“ im Rahmen der WI 2022 hinweisen. Wir freuen uns auf zahlreiche Beiträge aus der Community! Mit den besten Grüßen, Jella Pfeiffer, Ulrich Gnewuch, Milad Mirbabaie ________________ Call for Papers für den WI2022-Track „Human Computer Interaction and digital assistance systems“ 17. Internationale Tagung Wirtschaftsinformatik (WI2022), 21.-23. Februar 2022 an der Friedrich-Alexander-Universität Erlangen-Nürnberg (www.wi22.de <http://www.wi22.de>) Track Chairs Jella Pfeiffer, Justus-Liebig-Universität Gießen Ulrich Gnewuch, Karlsruher Institut für Technologie Milad Mirbabaie, Universität Paderborn Beschreibung Human Computer Interaction (HCI) ist ein interdisziplinäres Forschungsfeld, das sich mit der Analyse und Gestaltung der Interaktion von Menschen mit Informations- und Kommunikationstechnologien (IKT) befasst. Ziel ist es die Usability und User Experience positiv zu beeinflussen und dadurch Produktivität, Lebensqualität und das Wohlbefinden der Nutzer:innen zu steigern. Mit den sich rasch entwickelnden Potenzialen interaktiver Technologien, der Sensortechnologie, der intelligenten Echtzeit-Datenverarbeitung und der nahezu universellen Präsenz von IT in allen Lebensbereichen ergeben sich neue Herausforderungen und Möglichkeiten für die HCI-Forschung im Bereich der Wirtschaftsinformatik. Der Track „Human Computer Interaction und digitale Assistenzsysteme“ konzentriert sich auf Forschung, die dazu beiträgt, die Interaktion von Nutzer:innen mit digitalen Artefakten zu verstehen und erfolgreich zu gestalten. Gesucht werden Beiträge jeglicher methodischer Ausrichtung, die theoretisch und praktisch relevante Beiträge zum besseren Verständnis und zur Gestaltung der HCI von Informationssystemen leisten. Beispiele hierfür sind menschliche Interaktionen mit intelligenten Technologien wie der Künstlichen Intelligenz, neuartige (multimodale) Interface-Designs einschließlich Konzepten für Wearables und Augmented/Virtual Reality, laufende HCI-Praktiken zur Untersuchung und Gestaltung spezifischer interaktiver Systeme. Insbesondere laden wir innovative Ideen in Bezug auf die Entwicklung, Nutzung und Auswirkung von digitalen Assistenzsystemen ein. Der Track begrüßt Beiträge, die technisch rigorose wissenschaftliche Fortschritte auf dem Gebiet der HCI mit klaren Bezügen zur Wirtschaftsinformatik beschreiben. Mögliche Themenfelder * Methoden, Techniken und Tools für Usability und User Experience Engineering * Neuartige (multimodale) Interface-Designs einschließlich Konzepten für Wearables und Augmented/Virtual Reality * Menschliche Interaktionen mit intelligenten Technologien wie der Künstlichen Intelligenz * Psychologische, soziale, kulturelle und ethische Aspekte von HCI bei der Gestaltung von Informationssystemen * Interface-Designs in der Visualisierung zum Verständnis großer Datenmengen * Design, Einsatz und Interaktion spezifischer interaktiver Systeme, wie digitale Assistenzsysteme, Conversational Agents, Persuasive Systeme oder physio-adaptive Systeme * Nutzung von NeuroIS Methoden und Tools in der HCI * Partizipatives Design und Methoden in der HCI Associate Editors * Benedikt Brendel * Ann-Kristin Cordes * Sara D'Onofrio * Thomas Fischer * Maike Greve * Simon Hacks * Michael Knierim * Claudia Müller * René Riedl * Björn Ross * Martin Semmann * Dominik Siemon * Gunnar Stevens * Navid Tavanapour * Markus Weinmann Wichtige Termine Frist für die Ersteinreichung von Beiträgen: 01.09.2021 um 14:00 Uhr Fast and constructive AE Feedback: 10.09.2021 Bekanntgabe der Begutachtungsergebnisse: 31.10.2021 Frist für die Einreichung der überarbeiteten Beiträge: 15.11.2021 *Prof. Dr. Milad Mirbabaie* Professor (Junior) at /Paderborn University/ Teamleader at/ University of Duisburg-Essen/ Director of /Competence Center Connected Organization/ T (Mobile): +49 (0) 160 1037404 <applewebdata://D59BD3E5-178A-4C00-AB0E-E0202D07FEB0/+49%20(0)%20160%201037404> Address: Warburger Str. 100, (Q3.128), 33098 Paderborn, Germany Web 1: Paderborn University - Information Systems and Digital Society <https://wiwi.uni-paderborn.de/dep3/mirbabaie> Web 2: Competence Center Connected Organization <http://connected-organization.de/> Social Media: LinkedIn <https://www.linkedin.com/in/milad-mirbabaie-190174a7/>| XING <https://www.xing.com/profile/Milad_Mirbabaie?sc_o=navigation_profile&sc_o_P…> | Researchgate <https://www.researchgate.net/profile/Milad_Mirbabaie>| GoogleScholar <https://scholar.google.de/citations?user=H-WbCXIAAAAJ&hl=de&oi=ao> -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: [wkwi] CfP: WI2022 - Track “Human Computer Interaction and digital assistance systems”
by Gustaf Neumann 11 Jul '21

11 Jul '21

-------- Forwarded Message -------- Subject: [wkwi] CfP: WI2022 - Track “Human Computer Interaction and digital assistance systems” Date: Fri, 9 Jul 2021 16:17:43 +0200 From: Milad Mirbabaie <milad.mirbabaie(a)uni-paderborn.de> Reply-To: Milad Mirbabaie <milad.mirbabaie(a)uni-paderborn.de> To: wkwi(a)listserv.dfn.de Sehr geehrte Kolleginnen und Kollegen, gerne möchten wir Sie auf den Call for Papers des Tracks „Human Computer Interaction and digital assistance systems“ im Rahmen der WI 2022 hinweisen. Wir freuen uns auf zahlreiche Beiträge aus der Community! Mit den besten Grüßen, Jella Pfeiffer, Ulrich Gnewuch, Milad Mirbabaie ________________ Call for Papers für den WI2022-Track „Human Computer Interaction and digital assistance systems“ 17. Internationale Tagung Wirtschaftsinformatik (WI2022), 21.-23. Februar 2022 an der Friedrich-Alexander-Universität Erlangen-Nürnberg (www.wi22.de <http://www.wi22.de>) Track Chairs Jella Pfeiffer, Justus-Liebig-Universität Gießen Ulrich Gnewuch, Karlsruher Institut für Technologie Milad Mirbabaie, Universität Paderborn Beschreibung Human Computer Interaction (HCI) ist ein interdisziplinäres Forschungsfeld, das sich mit der Analyse und Gestaltung der Interaktion von Menschen mit Informations- und Kommunikationstechnologien (IKT) befasst. Ziel ist es die Usability und User Experience positiv zu beeinflussen und dadurch Produktivität, Lebensqualität und das Wohlbefinden der Nutzer:innen zu steigern. Mit den sich rasch entwickelnden Potenzialen interaktiver Technologien, der Sensortechnologie, der intelligenten Echtzeit-Datenverarbeitung und der nahezu universellen Präsenz von IT in allen Lebensbereichen ergeben sich neue Herausforderungen und Möglichkeiten für die HCI-Forschung im Bereich der Wirtschaftsinformatik. Der Track „Human Computer Interaction und digitale Assistenzsysteme“ konzentriert sich auf Forschung, die dazu beiträgt, die Interaktion von Nutzer:innen mit digitalen Artefakten zu verstehen und erfolgreich zu gestalten. Gesucht werden Beiträge jeglicher methodischer Ausrichtung, die theoretisch und praktisch relevante Beiträge zum besseren Verständnis und zur Gestaltung der HCI von Informationssystemen leisten. Beispiele hierfür sind menschliche Interaktionen mit intelligenten Technologien wie der Künstlichen Intelligenz, neuartige (multimodale) Interface-Designs einschließlich Konzepten für Wearables und Augmented/Virtual Reality, laufende HCI-Praktiken zur Untersuchung und Gestaltung spezifischer interaktiver Systeme. Insbesondere laden wir innovative Ideen in Bezug auf die Entwicklung, Nutzung und Auswirkung von digitalen Assistenzsystemen ein. Der Track begrüßt Beiträge, die technisch rigorose wissenschaftliche Fortschritte auf dem Gebiet der HCI mit klaren Bezügen zur Wirtschaftsinformatik beschreiben. Mögliche Themenfelder * Methoden, Techniken und Tools für Usability und User Experience Engineering * Neuartige (multimodale) Interface-Designs einschließlich Konzepten für Wearables und Augmented/Virtual Reality * Menschliche Interaktionen mit intelligenten Technologien wie der Künstlichen Intelligenz * Psychologische, soziale, kulturelle und ethische Aspekte von HCI bei der Gestaltung von Informationssystemen * Interface-Designs in der Visualisierung zum Verständnis großer Datenmengen * Design, Einsatz und Interaktion spezifischer interaktiver Systeme, wie digitale Assistenzsysteme, Conversational Agents, Persuasive Systeme oder physio-adaptive Systeme * Nutzung von NeuroIS Methoden und Tools in der HCI * Partizipatives Design und Methoden in der HCI Associate Editors * Benedikt Brendel * Ann-Kristin Cordes * Sara D'Onofrio * Thomas Fischer * Maike Greve * Simon Hacks * Michael Knierim * Claudia Müller * René Riedl * Björn Ross * Martin Semmann * Dominik Siemon * Gunnar Stevens * Navid Tavanapour * Markus Weinmann Wichtige Termine Frist für die Ersteinreichung von Beiträgen: 01.09.2021 um 14:00 Uhr Fast and constructive AE Feedback: 10.09.2021 Bekanntgabe der Begutachtungsergebnisse: 31.10.2021 Frist für die Einreichung der überarbeiteten Beiträge: 15.11.2021 *Prof. Dr. Milad Mirbabaie* Professor (Junior) at /Paderborn University/ Teamleader at/ University of Duisburg-Essen/ Director of /Competence Center Connected Organization/ T (Mobile): +49 (0) 160 1037404 <applewebdata://D59BD3E5-178A-4C00-AB0E-E0202D07FEB0/+49%20(0)%20160%201037404> Address: Warburger Str. 100, (Q3.128), 33098 Paderborn, Germany Web 1: Paderborn University - Information Systems and Digital Society <https://wiwi.uni-paderborn.de/dep3/mirbabaie> Web 2: Competence Center Connected Organization <http://connected-organization.de/> Social Media: LinkedIn <https://www.linkedin.com/in/milad-mirbabaie-190174a7/>| XING <https://www.xing.com/profile/Milad_Mirbabaie?sc_o=navigation_profile&sc_o_P…> | Researchgate <https://www.researchgate.net/profile/Milad_Mirbabaie>| GoogleScholar <https://scholar.google.de/citations?user=H-WbCXIAAAAJ&hl=de&oi=ao>

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Fwd: ACM TechNews, Friday, July 9, 2021
by Gustaf Neumann 11 Jul '21

11 Jul '21

-------- Forwarded Message -------- Subject: ACM TechNews, Friday, July 9, 2021 Date: Fri, 9 Jul 2021 12:12:23 -0400 (EDT) From: ACM TechNews <technews-editor(a)acm.org> To: Gustaf Neumann <neumann(a)WU-WIEN.AC.AT> ACM TechNews Click here <https://technews.acm.org/archives.cfm?fo=2021-07-jul/jul-09-2021.html> to view this online ACM TechNews <https://technews.acm.org/> MEMBERNET <https://www.acm.org/membership/acm-membernet-archive> ARCHIVES <https://technews.acm.org/archives.cfm> CAREERNEWS <https://www.acm.org/articles/careernews> CONTACT US <mailto:technews@hq.acm.org> Welcome to the July 9, 2021 edition of ACM TechNews, providing timely information for IT professionals three times a week. ACM TechNews mobile apps are available for Android phones and tablets (click here <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x3acd6x0680…>) and for iPhones (click here <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x314332x068…>) and iPads (click here <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x314333x068…>). To view "Headlines At A Glance," hit the link labeled "Click here to view this online" found at the top of the page in the html version. The online version now has a button at the top labeled "Show Headlines." The ACM Student Research Competition logo. *2021 ACM Student Research Competition Winners Announced* /*ACM* July 8, 2021/ ACM has announced the winners of the 2021 Grand Finals of its Student Research Competition (SRC), which involved 296 computer science students presenting projects at 21 ACM conferences. The University of Texas at Austin's Jiaqi Gu took first place in the graduate category for developing a method of tapping optical neural networks to facilitate efficient neuromorphic computing. Thomas B. McHugh of Northwestern University was ranked first in the undergraduate category for his project, “Constructing Agency and Usability Through Community-Driven Assistive Technology Design.” Microsoft Research's Evelyne Viegas said, "The ACM Student Research Competition prepares students for the future contributions they will make. As active participants in the global research community, SRC students are given access to the world's top computing conferences that empower them to engage in dialogue and share their ideas before experts and peers." *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c40ax068…> * A skull and crossbones binary computer screen. *Microsoft's Emergency Patch Fails to Fix Critical 'PrintNightmare' Vulnerability* /*Ars Technica* Dan Goodin July 7, 2021/ Researchers warn a software patch Microsoft issued this week did not fully correct a flaw in all supported versions of the Windows operating system that allows hackers to commandeer infected networks. The PrintNightmare vulnerability is rooted in bugs in the Windows print spooler, which supports printing functionality in local networks, and which attackers can exploit remotely when print capabilities are exposed online. Hackers also can use the flaw to escalate system privileges once they have infiltrated a vulnerable network via another bug, hijacking the domain controller. Benjamin Delpy, a developer of the hacking and network utility Mimikatz, tweeted that exploits could circumvent Microsoft's out-of-band update, which fails to fix vulnerable systems that employ certain settings for the point and print feature. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c40bx068…> * *Facebook, Twitter, Google Threaten to Quit Hong Kong Over Proposed Data Laws* /*The Wall Street Journal* Newley Purnell July 5, 2021/ Facebook, Twitter, and Google have privately threatened to halt service to Hong Kong if the city's government revises data-protection ordinances that could make the companies liable for doxing, or malicious online sharing of individuals' information. The Singapore-based Asia Internet Coalition, which the Internet firms are members of, expressed concern the proposed rules' vague language could subject their employees to criminal investigations or prosecution for doxing by their users. "The only way to avoid these sanctions for technology companies would be to refrain from investing and offering the services in Hong Kong," states a letter from the Coalition. The letter further said the proposed revisions could curtail free expression and outlaw even "innocent acts of sharing information online." *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c40cx068…> * *May Require Paid Registration Illustration representing the future Quantum Internet. *Untappable Communication Becomes Practical with MDI-QKD System in Future Quantum Internet* /*TU Delft (Netherlands)* July 6, 2021/ Engineers at the QuTech institute created by the Delft University of Technology (TU Delft) and the Netherlands Organization for Applied Scientific Research have devised a cost-scalable system for untappable communication. TU Delft's Joshua Slater said the measurement-device independent quantum key distribution (MDI-QKD) system enables the connection of multiple users through a central node that functions like a switchboard operator. Said Slater, "The entire system is designed such that hacking attacks against the central node cannot break the security of the protocol." He also said QuTech researchers have facilitated a proof-of-principle demonstration of MDI-QKD, as well as demonstrations of its capabilities over deployed optical fibers and commercially available hardware. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c40dx068…> * The three-dimensional cat display. *Giant 3D Cat Takes Over One of Tokyo's Biggest Billboards* /*CNN* Megan C. Hills July 7, 2021/ One of the largest billboards in Tokyo is displaying a hyper-realistic three-dimensional (3D) cat in 4K resolution. The gigantic feline is projected moving around on a 1,664-sq.-ft. (155-square-meter) curved light-emitting diode (LED) screen overlooking a railway station in the city’s Shinjuku district. The Shinjuku cat, airing between 7 a.m. and 1 a.m., is a test broadcast for a display that officially opens July 12. The Cross Shinjuku Vision billboard's owners said the 3D effect of the display can diminish depending on the viewing angle. One of the companies that organized the display, Cross Space, has begun livestreaming a view of the billboard on online video service YouTube. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c40ex068…> * The European Robotic Arm. *Europe to Launch 2-Handed Robotic Arm to the International Space Station* /*Space.com* Tereza Pultarova July 6, 2021/ The European Robotic Arm, developed by Airbus for the European Space Agency, is scheduled to be flown to the International Space Station on July 15 with the new Russian Multipurpose Laboratory Module. The autonomous robotic arm features dexterous hands attached to two symmetrical arms, each just over 16 feet (just under 5 meters) long. Made of lightweight aluminum and carbon fiber, the arm can install components weighing up to 17,600 pounds, reach targets with 5-millimeter precision, and transport astronauts from one work site to another during spacewalks. It also is equipped with an infrared camera that can be used to inspect the exterior of the space station and stream video to the astronauts inside. The arm can be controlled by the astronauts in real time, or autonomously perform pre-programmed tasks. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c40fx068…> * *The Tech Cold War's 'Most Complicated Machine' That's Out of China's Reach* /*The New York Times* Don Clark July 4, 2021/ A Dutch company's computer-chip manufacturing system has become a point of leverage in the U.S.-Chinese competition for global dominance in the computer industry. ASML Holding's $150-million-plus system defines ultrasmall circuitry on leading-edge chips with extreme ultraviolet light to boost performance. ASML's machine also requires development and assembly across three continents, making any country's ambitions to build a totally self-sufficient semiconductor supply chain unrealistic. The system uses mirrors made by Germany’s Zeiss optics firm and other hardware by San Diego-based Cymer; Japanese companies provide critical chemicals and photomasks. The Biden administration appears likely to uphold the previous administration's embargo on selling ASML equipment to China. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c410x068…> * *May Require Paid Registration A numerical simulation of aerosol dispersion. *Simulation of Air Flow After Coughing, Sneezing to Study the Transmission of Diseases Such as COVID-19* /*Universitat Rovira i Virgili (Spain)* June 30, 2021/ Researchers at Spain's Universitat Rovira i Virgili (URV) simulated air flow from coughing and sneezing using high-performance computation systems to better understand the airborne spread of diseases like COVID-19. The researchers found the air plume generated by a cough or sneeze carries particles smaller than 32 microns higher than the height of emission, producing a cloud that can remain suspended and dispersed by air currents over long distances. The researchers used the results of the simulations to develop a map of the concentration of viral particles around an infected person following a cough or sneeze. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c411x068…> * *Data Security Rules Instituted for U.S. Payment Processing System* /*ZDNet* Jonathan Greig June 30, 2021/ New data security rules governing the payment system that facilitates direct deposits and direct payments for nearly all U.S. bank and credit union accounts are now in effect. The National Automated Clearinghouse Association (NACHA) stipulates that an account number used for any Automated Clearinghouse (ACH) payment must be rendered indecipherable while stored electronically. This mandate is applicable to any facility where account numbers related to ACH entries are stored. NACHA has instructed ACH originators and third parties that process over 6 million ACH transactions annually to render deposit account data unreadable when stored electronically, recommending measures that include encryption, truncation, tokenization, and destruction. The regulator said access controls like passwords are unacceptable, but disk encryption is permitted, provided additional and prescribed physical safeguards are implemented. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c412x068…> * The Zuchongzhi quantum computer. *China Beats Google to Claim the World's Most Powerful Quantum Computer* /*New Scientist* Matthew Sparkes July 5, 2021/ Chinese researchers have demonstrated the world's most powerful quantum computer, displacing Google's Sycamore processor as the holder of quantum supremacy. The 54-quantum-bit (qubit) Sycamore solved the benchmark problem of simulating a quantum circuit and sampling random numbers from its output in three minutes 20 seconds; the Google team said the most powerful classical supercomputer would have taken 10,000 years to crack the problem. The Chinese team’s Zuchongzhi processor featured 66 qubits, although the team reportedly used just 56 to solve the same challenge in about 70 minutes. Peter Knight at the U.K.'s Imperial College London said, "What this has done is really demonstrate what we've always thought we knew, but didn't have proved experimentally, that you can always beat a classical machine by adding a few more qubits." *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c413x068…> * Technion AI researchers Ofra Amir, Liat Levontin, and Zohar Gilad. *Technion Study Finds Warmth of AI Systems More Important Than Capability* /*The Jerusalem Post* June 30, 2021/ A study by researchers at the Technion – Israel Institute of Technology found that potential users of artificial intelligence (AI) systems consider such systems’ “warmth” more important than capability and competence. The study of more than 1,600 participants defined warmth as related to traits indicating the AI system's perceived intent, such as friendliness, helpfulness, sincerity, trustworthiness, and morality. The researchers found participants preferred “warm” AI systems built for the consumer that use algorithms trained on less data over systems built for the producer that use state-of-the-art artificial neural network algorithms. The researchers looked at navigation apps, search engines, and recommender systems, in contrast to prior research that focused on virtual agents or robots. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c414x068…> * An individual with Cobot Designer. *Web-Based Design Tool for Better Job Safety* /*Fraunhofer-Gesellschaft (Germany)* July 1, 2021/ A free Web-based tool developed by Germany's Fraunhofer Institute for Factory Operation and Automation IFF aims to help companies design cobots, or robots that work alongside humans, to reduce the risk of accidents and increase employee safety. The Cobot Designer, which runs on all browsers, can be used by companies before purchasing a robot to determine whether its speed will allow a task to be performed productively and safely. Users enter the robot's parameters, the hazard, and the tool to be used, and the Cobot Designer will calculate the effect of contact between a human and the robot, and the robot's maximum permissible speed. Fraunhofer's Roland Behrens said, "The goal is to use computer simulation, as the Cobot Designer does, to dispense with measurements entirely in the future." *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c415x068…> * *ML Algorithm Predicts How Genes Are Regulated in Individual Cells* /*UIC Today* June 30, 2021/ A software tool designed by University of Illinois Chicago (UIC) scientists uses a machine learning algorithm to help researchers more efficiently identify genetic regulators. The Bayesian Inference Transcription Factor Activity Model (BITFAM) predicts the transcription factors most likely to be active in individual cells. BITFAM integrates new gene expression profile data collected from single-cell RNA sequencing with current biological data on transcription factor target genes, then runs computer-based models to find the best match and forecast the activity of each transcription factor in the cell. The team tested BITFAM in cells from lung, heart, and brain tissue, and UIC's Shang Gao said the algorithm yields not only significant activities, but also insights into underpinning regulatory mechanisms. *Full Article <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c416x068…> * ACM Collective Intelligence <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c417x068…> ACM Queue Case Studies <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-2bd17x32c418x068…> <https://www.facebook.com/pages/ACM-Association-for-Computing-Machinery/1792…> <http://www.linkedin.com/groups?gid=36836> <http://twitter.com/TheOfficialACM> <http://rss.acm.org/technews/technews.xml> *Association for Computing Machinery* 1601 Broadway, 10th Floor New York, NY 10019-7434 1-800-342-6626 (U.S./Canada) ------------------------------------------------------------------------ *ACM Media Sales* If you are interested in advertising in ACM TechNews or other ACM publications, please contact ACM Media Sales <mailto:acmmediasales@acm.org> or (212) 626-0686, or visit _ACM Media_ <http://www.acm-media.org> for more information. To submit feedback about ACM TechNews, contact: technews(a)hq.acm.org Unsubscribe <https://optout.acm.org/unsubscribe.cfm?rm=rDLvsSu10EFB1004B5582A167F4379A27…>

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Fwd: [AISWorld] The 9th International Conference. Springer Publication. Scopus, WoS Indexation | Deadline for papers submission-August 11, 2021.
by Gustaf Neumann 11 Jul '21

11 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] The 9th International Conference. Springer Publication. Scopus, WoS Indexation | Deadline for papers submission-August 11, 2021. Date: Sun, 11 Jul 2021 13:04:27 +0500 From: Sergey Orlov <s.orlov4860(a)gmail.com> To: aisworld(a)lists.aisnet.org *Dear Author, * *You are cordially invited to submit your full paper of 6 - 12 pages.* *The 2021 International Conference on Digital Science* (DSIC 2021) will be held in Luxembourg, Luxembourg, on October 15 – 17, 2021. Conference website is https://ics.events/dsic-2021/. Early submissions are greatly appreciated. A single attending author may present a maximum of two papers onsite/online. The presentation, award submission and proceedings submission for a paper must all be in English. You may submit your paper via DSIC 2021 Submission Form on https://ics.events/dsic-2021/. Submitted papers (until 12-page limit; including figures and references) must comply with the requested format *Template* <https://ics.events/wp-content/uploads/2021/03/Template.docx>, be written in English, must not have been published before, not be under review for any other conference or publication. All submissions will be twice «blind» reviewed based on relevance, timeliness, originality, importance and clarity of expression with convincing argumentative. Besides globally relevant meetings with internationally representative program/scientific committees guaranteeing a strict peer-reviewing and paper selection process. In case your paper’s acceptance you will receive a notification letter. This letter will contain your paper ID that you should include in all further correspondences. *Publication and Indexation* Accepted, registered, and oral/virtual presented Papers will be published in the 2021 International Conference on Digital Science Proceeding *by Springer in a book series "Lecture Notes in Networks and Systems" (SJR 0,17; Q4 according to https://www.scimagojr.com/journalrank.php <https://www.scimagojr.com/journalrank.php>, 2020) *and then will be submitted to *SCOPUS, WoS, Google Scholar and other* indexations. Due to the restrictions caused this year by COVID-19 Pandemic, corresponding authors with ICCS2021 registration will have a discount of 50 USD in the DSIC 2021 registration. *Important Deadlines:* Submission: August 11, 2021 Notification: September 17, 2020 Registration: September 23, 2021 Event Dates: October 15 – 17, 2021 Convener DSIC 2021. https://ics.events. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] 9th International Conference. Springer Publication. Scopus, WoS Indexation | Deadline for papers submission-August 11, 2021.
by Gustaf Neumann 09 Jul '21

09 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] 9th International Conference. Springer Publication. Scopus, WoS Indexation | Deadline for papers submission-August 11, 2021. Date: Fri, 09 Jul 2021 11:16:43 +0300 From: John Dreamer <smart(a)digscience.org> Organization: ICS To: aisworld(a)lists.aisnet.org Dear Author, You are cordially invited to submit your full paper of 6 - 12 pages. The 2021 International Conference on Digital Science (DSIC 2021) will be held in Luxembourg, Luxembourg, on October 15 – 17, 2021. Conference website is https://ics.events/dsic-2021/. Early submissions are greatly appreciated. A single attending author may present a maximum of two papers onsite/online. The presentation, award submission and proceedings submission for a paper must all be in English. You may submit your paper via DSIC 2021 Submission Form on https://ics.events/dsic-2021/. Submitted papers (until 12-page limit; including figures and references) must comply with the requested format Template, be written in English, must not have been published before, not be under review for any other conference or publication. All submissions will be twice «blind» reviewed based on relevance, timeliness, originality, importance and clarity of expression with convincing argumentative. Besides globally relevant meetings with internationally representative program/scientific committees guaranteeing a strict peer-reviewing and paper selection process. In case your paper’s acceptance you will receive a notification letter. This letter will contain your paper ID that you should include in all further correspondences. Publication and Indexation Accepted, registered, and oral/virtual presented Papers will be published in the 2021 International Conference on Digital Science Proceeding by Springer in a book series "Lecture Notes in Networks and Systems" (SJR 0,17; Q4 according to https://www.scimagojr.com/journalrank.php, 2020) and then will be submitted to SCOPUS, WoS, Google Scholar and other indexations. Due to the restrictions caused this year by COVID-19 Pandemic, corresponding authors with ICCS2021 registration will have a discount of 50 USD in the DSIC 2021 registration. Important Deadlines: Submission: August 11, 2021 Notification: September 17, 2020 Registration: September 23, 2021 Event Dates: October 15 – 17, 2021 Convener DSIC 2021. https://ics.events. -- Best Regards, John Dreamer. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call For Book Chapter: Handbook of Research on Foundations and Applications of Intelligent Business Analytics
by Gustaf Neumann 09 Jul '21

09 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] Call For Book Chapter: Handbook of Research on Foundations and Applications of Intelligent Business Analytics Date: Fri, 9 Jul 2021 08:37:29 +1000 From: Zhaohao Sun <zhaohao.sun(a)gmail.com> To: aisworld(a)lists.aisnet.org 3rd CALL FOR BOOK CHAPTERS BOOK: Handbook of Research on Foundations and Applications of Intelligent Business Analytics EDITED BY PROF. DR. ZHAOHAO SUN AND PROF. DR. ZHIYOU WU TO BE PUBLISHED BY IGI Global, USA Please also see https://www.igi-global.com/publish/call-for-papers/call-details/5211 or http://wikicfp.com/cfp/servlet/event.showcfp?eventid=128907&copyownerid=494… *Introduction* We are living in the age of big data, analytics, and artificial intelligence (AI). Intelligent business analytics as the integration of big data, analytics, and artificial intelligence for business has drawn increasing attention in academia and industries. Intelligent business analytics mainly includes intelligent business analytics systems, intelligent business analytics platform, intelligent business analytics services, intelligent business process analytics, intelligent human resource analytics, intelligent marketing analytics, business analytics intelligence, intelligent business analytics tools, advanced intelligent business analytics, intelligent customer analytics, intelligent traffic analytics, intelligent data analytics, intelligent health analytics, intelligent big data analytics and more. Intelligent business analytics is still an emerging discipline in academia although artificial intelligence (AI) and business analytics have become a hotspot in academia and industries. The following are still big research issues for developing intelligent business analytics based on our preliminary analysis: What is intelligent business analytics? What is the fundamental of intelligent business analytics? How can incorporate the latest intelligent techniques into business analytics applications? What are the applications of intelligent business analytics? What are the impacts of intelligent business analytics on intelligent business and business decision making? *The objective of the book* This book addresses the above-mentioned research issues by investigating the foundations, technologies, and applications of intelligent business analytics. This book is the first book on "Intelligent business analytics" that focuses on intelligent business, intelligent business analytics, intelligent analytics including intelligent big data analytics in the age of big data, analytics, and artificial intelligence. This book is the first book to reveal the cutting-edge theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way. This is also the first book demonstrating that intelligent business analytics is at the center of intelligent business, intelligent decision making, intelligent management, digital transformation, governance, and services in the digital age. *Target audience* This book?s primary aim is to convey the theoretical foundations, technologies, thoughts, and methods of intelligent business analytics with applications to scientists, engineers, educators and university students, business, service, and management professionals, policy-makers, decision-makers, and others who have an interest in big data, intelligent business, intelligent management, intelligent business analytics, AI, digital transformation, SMACS (service, mobile, analytics, cloud, social) business and intelligence, service, and data science. Primary audiences for this book are undergraduate, postgraduate students, and a variety of professionals in the fields of big data, analytics, intelligent business and management, data science, information science and technology, knowledge technology and engineering, intelligence science, AI, ICT, computing, commerce, business, services, management, and government. The variety of readers in the fields of government, consulting, marketing, business, and trade, as well as the readers from all the social strata, can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies, and applications of intelligent business analytics in the digital age. *Recommended topics *include, but are not limited to, the following We seek book chapters with original research that promotes theoretical and technical research as well as emerging applications of intelligent business analytics. Submissions that cross multiple disciplines such as management, service, business, AI, intelligent systems, computer science, data science, optimization, statistics, information systems, decision sciences, and industries to develop theory and provide technologies and applications that could move theory and practice forward in intelligent business analytics, are especially encouraged. *Topics of Interest* Topics of contributions to this book include four parts: foundations, technologies, applications and emerging technologies and applications of intelligent business analytics. Part I. Foundations of intelligent analytics Topics: fundamental concepts and theories, models/architectures, frameworks/mechanisms or foundations for developing, operating, evaluating, managing, and regulating intelligent analytics and intelligent business analytics. The following topics might include, but not limited to. 1. Intelligent business analytics as a science 2. A unified theoretical foundation of intelligent business analytics 3. Frameworks and mechanisms for intelligent business analytics 4. Business Intelligence, big data intelligence 5. Business analytics intelligence 6. Intelligent business analytics for big data, information, knowledge, intelligence, and wisdom processing 7. Intelligent business analytics ecosystems 8. Intelligent business analytics for automated decision making. 9. Intelligent business analytics and intelligent analytics 10. Computational foundations of intelligent business analytics 11. New computational models for big data analytics 12. Mathematical fundamentals of intelligent business analytics 13. Mathematical theory of intelligent analytics 14. Fuzzy logic approach to intelligent business analytics 15. ICT fundamentals for analytics 16. Business models for intelligent analytics 17. Real-time algorithms for intelligent business analytics 18. Intelligent business analytics thinking 19. Computing thinking for intelligent analytics 20. Business processes flow-oriented intelligent analytics 21. Big data science 22. Data preparation and data visualization 23. Machine learning and deep learning for intelligent business analytics 24. Data and text mining for intelligent business analytics 25. Intelligent warehouses, intelligent mining, intelligent statistical modelling 26. Data visualization for intelligent business analytics 27. Intelligent visualization of data, models, and insights 28. Statistical modelling for intelligent business analytics 29. Intelligent reporting 30. Optimization for big data, information, knowledge, intelligence, and wisdom 31. AI, Ethic AI, Explainable AI, and responsible AI for business analytics process Part II. Technologies for intelligent analytics Topics: Tools and technologies for developing, operating, evaluating, managing, and regulating intelligent analytics and intelligent business analytics might include the following topics of interest, but not limited to. 1. Intelligent business analytics as a technology 2. Intelligent technology, computational technology, web technology, Internet technology, social networking technology, cloud technology, big data technology, IoT, and IoE (the Internet of everything) technology for business analytics 3. Intelligent business analytics systems 4. Intelligent business analytics services 5. Intelligent business analytics management 6. Intelligent enterprise analytics 7. Intelligent services analytics 8. Intelligent data visualization techniques for business analytics 9. Intelligent techniques for enterprise analytics and services analytics. 10. Business processes flow-oriented intelligent analytics 11. Rule-based systems 12. Neural networks 13. Fuzzy logic 14. Expert systems 15. Intelligent agents and multi-agent systems 16. Cased-based reasoning 17. Genetic algorithms 18. Data mining algorithms 19. Intelligent user interfaces 20. Knowledge management 21. Intelligent big data/information/knowledge technologies 22. Intelligent service technologies 23. Social networking technologies 24. Intelligent decision technologies 25. Cloud computing, IoT, and IoE 26. Intelligent business and management technologies 27. Intelligent analytics for Micro, Small & Medium Enterprises (MSMEs) 28. Optimization techniques for intelligent business analytics 29. Machine-to-machine communication. Part III. Applications of intelligent analytics Topics: Real-world applications and case studies for using foundations and technologies in Part I, II in various domains such as digital transformation, blockchain, 5G systems, SMACS business and services, intelligent drones, healthcare, smart cities, financial services, legal services, healthcare services, educational services, and military services taking into account intelligent descriptive, diagnostic, predictive and prescriptive analytics. The following topics might include, but not limited to. 1. Intelligent business analytics-based innovation and entrepreneurship 2. Intelligent analytics in business ecosystems 3. Intelligent business analytics with public and open data 4. Intelligent business analytics for market innovation 5. Intelligent business analytics for e-business 6. Intelligent business analytics for cloud computing 7. Intelligent business analytics for IoT and IoE 8. Intelligent business analytics for blockchain 9. Intelligent business analytics for 5G applications 10. Intelligent business analytics for business decision making 11. Intelligent healthcare analytics 12. Analytic flow-oriented business solutions 13. Intelligent business analytics for business model innovation 14. Big data analytics economics and business analytics economics 15. Intelligent business analytics for location intelligence 16. Big data management and intelligent business analytics 17. Marketing analytics, healthcare analytics, management analytics, and HR analytics 18. Intelligent analytics in banking industry 19. Intelligent analytics in social networking services 20. Intelligent analytics for big data, information, knowledge, and wisdom 21. Cybersecurity and privacy in intelligent business analytics. 22. Intelligent analytics for management 23. Intelligent analytics for risk management 24. Organization analytics 25. Intelligent analytics-driven decision making 26. Analytics centric business and enterprise innovations 27. SME oriented intelligent business analytics 28. Academic analytics, teaching analytics, and learning analytics 29. Smart AI, intelligent business analytics adoption studies 30. Ethical issues related to intelligent business analytics 31. Risks in adoption and deployment of business analytics and enterprise analytics. 32. Challenges, trends, and controversies of intelligent analytics and business analytics Part IV. Emerging technologies and applications for intelligent business analytics Topics: Emerging cutting-edge technologies, methodologies, and applications for intelligent business analytics. The following topics of interest might also include, but not limited to. 1. Next-generation big data analytics 2. Next generation of intelligent business analytics 3. Intelligent business analytics for enhancing organization intelligence and market intelligence. 4. Emergent intelligent business analytics technologies 5. Emergent technologies for business analytics intelligence 6. Challenges, opportunities, and implications of intelligent big data analytics 7. Challenges, opportunities, and implications of intelligent enterprise analytics and market analytics 8. Challenges and opportunities for intelligent big information analytics 9. Challenges and opportunities for intelligent big knowledge analytics 10. Challenges and opportunities for intelligent analytics research 11. Challenges, opportunities, and dark-side of intelligent analytics applications 12. Ethic AI, explainable AI, and responsible AI for business analytics 13. Challenges and opportunities for intelligent analytics tools, platforms , and systems 14. Organisational and business innovation from AI and intelligent business analytics 15. Automated analytics process integration. *Submission Procedure* Researchers and practitioners are invited to submit on or before July 21, 2021, a chapter proposal (Abstract) of 150 to 200 word/s clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 26, 2021, about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by August 19, 2021, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Foundations and Applications of Intelligent Business Analytics. All manuscripts are accepted based on a double-blind peer review editorial process. All proposals should be submitted through the eEditorial Discovery? online submission manager through clicking "Propose a chapter" at https://www.igi-global.com/publish/call-for-papers/call-details/5211. *Submission Format and Evaluation* Every book chapter submission should consist of 8,000-12,000 words, and be structured into sections including Abstract, Introduction, background (or related work), main sections, future research directions, conclusion, and references. Every book chapter must be submitted in Microsoft Word and be typewritten in English in APA style based on the "manage source" and "insert citation" function. Every book chapter submission is original. Only ORIGINAL articles will be accepted for publication by IGI-Global. Upon acceptance of your book chapter, you will be required to sign a warranty that your book chapter is original and has NOT been submitted for publication or published elsewhere. All chapter submissions undergo a double-blind peer-review using the eEditorial Discovery? online submission manager. Conditioned accepted chapters will have an additional opportunity for being improved and evaluated. In the second evaluation, a definitive editorial decision among accepted or rejected will be reported. All of the accepted chapters must be submitted according to the Editorial publishing format rules timely. Instructions for authors can be downloaded at: http://www.igi-global.com/Files/AuthorEditor/guidelinessubmission.pdf. The final chapters are copy edited/proofed by the authors prior to submission, following the IGI Global chapter formatting and submission guidelines. Important Dates - July 21, 2021: 1st proposal submission deadline to the editor (if you submitted, please ignore this part), - August 19, 2021: Submission deadline of the full chapters. - Oct 17, 2021: Review results due to authors - Nov 14, 2021: Revisions due from authors - Nov 28, 2021: Final acceptance/rejection notification due to authors - Dec 12, 2021: All final accepted materials due from authors. Prof. Dr. Zhaohao Sun, Ph.D. & Prof. Dr. Zhiyou Wu, Ph.D. Editor of Handbook of Research on Foundations and Applications Intelligent Business Analytics Research Centre of Big Data Analytics and Intelligent Systems (BAIS) Department of Business Studies PNG University of Technology Morobe 411, PNG zhaohao.sun(a)gmail.com & School of Mathematical Sciences Chongqing Normal University, China zywu(a)cqnu.edu.cn _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers - Information Systems Journal: Special Issue on Information Systems and Sustainable Development
by Gustaf Neumann 09 Jul '21

09 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - Information Systems Journal: Special Issue on Information Systems and Sustainable Development Date: Fri, 9 Jul 2021 00:07:06 +0000 From: Barney Tan <barney.tan(a)sydney.edu.au> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> CC: Robert M Davison <isrobert(a)cityu.edu.hk>, Petter Nielsen <pnielsen(a)ifi.uio.no> Information Systems Journal Special Issue Call for Papers Information Systems and Sustainable Development Manuscript Deadline: Jan 31, 2022 Special Issue Guest Editors Barney Tan, The University of Sydney Petter Nielsen, University of Oslo Special Issue Advisor Rick Watson, University of Georgia The Information Systems Journal (impact factor: 7.453) is inviting submissions that will advance our understanding of the role of information systems (IS) in sustainable development. We especially welcome completed empirical studies that contribute to the attainment of the United Nations’ Sustainable Development Goals (SDGs), including, but not limited to, those investigating interventions to mitigate climate change, advance sustainable business models, and encourage the adoption of behaviors that reduce environmental impact. The CFP is now available at https://onlinelibrary.wiley.com/pb-assets/assets/13652575/ISJ_Information%2… Examples of topics that would be appropriate include, but are not limited to, the following: * The influence of IS on the SDGs (e.g., environmental sustainability, poverty alleviation, improving health and education, etc.) * The relationships between the SDGs and the process and nature of systems innovation * Organizational strategies for leveraging IS toward environmental, economic and social sustainability * Theories and concepts related to IS-enabled forms of sustainable development that have been applied successfully * The role of the SDGs on Information and Communications Technologies for Development (ICT4D) research and practice * The formation of digital ecosystems for sustainable development * The design of sustainable information systems and information services * The development of smart cities and their implications for sustainable development * The role of social media and digital channels in promoting the awareness and adoption of SDGs and sustainability lifestyles * Applications of emerging technologies (e.g., artificial intelligence, Internet-of-Things, etc.) in sustainable development * New ICT-enabled or platform-based business models that contribute toward sustainability * Critical perspectives on the SDGs and the role of IS toward achieving them The formal submission deadline is Jan 31, 2022 and will not be extended. All manuscript submissions will go through an initial round of screening by the special issue editorial board to ensure that they fit the objectives of the special issue and the Information Systems Journal, and can be reasonably improved during the stipulated time frame. For formatting criteria, authors should refer to the Information Systems Journal website (https://onlinelibrary.wiley.com/page/journal/13652575/homepage/ForAuthors.h…<https://protect-au.mimecast.com/s/mQPKCP7LAXfKN5RWru0grrU?domain=onlinelibr…>). Manuscripts that pass initial screening will go through the Information Systems Journal review process. It is expected that a manuscript will go through a maximum of three rounds of revision. Warmest Regards, BARNEY TAN | Deputy Head of Discipline and Associate Professor Business Information Systems | The University of Sydney Business School THE UNIVERSITY OF SYDNEY Rm 4074, Abercrombie Building H70 | The University of Sydney | NSW | 2006 | Australia T +61 2 9351 2983 | F +61 2 9351 7294 E barney.tan(a)sydney.edu.au<mailto:barney.tan@sydney.edu.au> | W http://sydney.edu.au/business/staff/barneyt CRICOS 00026A This email plus any attachments to it are confidential. Any unauthorised use is strictly prohibited. If you receive this email in error, please delete it and any attachments. Please think of our environment and only print this e-mail if necessary. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers: FREE OF CHARGE - JISEBI Vol 7, No 2 (2021) October
by Gustaf Neumann 09 Jul '21

09 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers: FREE OF CHARGE - JISEBI Vol 7, No 2 (2021) October Date: Fri, 9 Jul 2021 11:30:11 +0700 From: Indra Kharisma Raharjana <indra.kharisma(a)fst.unair.ac.id> To: aisworld(a)lists.aisnet.org Journal of Information Systems Engineering and Business Intelligence (JISEBI) accepts manuscripts to be published in Vol 7, No 2 (2021): October. JISEBI is indexed/abstracted in Crossref, Google Scholar, ROAD (Directory of Open Access scholarly Resources), SINTA (Science and Technology Index), Bielefeld Academic Search Engine (BASE), Indonesia OneSearch, Microsoft Academic, and Norwegian Centre for Research Data. Journal of Information Systems Engineering and Business Intelligence (JISEBI) aims to promote high-quality Information Systems (IS) research among academics and practitioners alike, including computer scientists, IS professionals, business managers, and other stakeholders in the industry. The journal publishes research articles and systematic reviews in the areas of Information System Engineering and Business Intelligence. The former refers to a multidisciplinary approach to all activities in the development and management of information systems aiming to achieve organizational goals; whereas the latter focuses on techniques to transfer raw data into meaningful information for business analysis purposes to achieve sustainable competitive advantage. Areas of interest in Information System Engineering and Business Intelligence include, but are not limited to, the following topics: Management of Information Systems, IT Organizational Governance, Information Systems Theory and Practices, Data Analysis, Artificial Intelligence, Decision Support System, Computer Science, and Software Engineering *Important Dates* Paper Submission: August 1, 2021 Publication date: October 28, 2021 *Benefits of Publishing with JISEBI* - No Publication Fee (FREE OF CHARGE). - Included language editing service upon acceptance. - Offer open access license (CC-BY); authors retain the copyright. Best regards, Editorial Office, Journal of Information Systems Engineering and Business Intelligence *Indra Kharisma Raharjana, S.Kom, M.T.* *Editor-in-Chief Journal of Information Systems Engineering and Business Intelligence * *Lecturer of Information Systems, Faculty of Science and Technology, Universitas Airlangga* *Doctoral Student in Computer Science, Institut Teknologi Sepuluh November* *Email: indra.kharisma(a)fst.unair.ac.id <indra.kharisma(a)fst.unair.ac.id>, indra.kharisma(a)gmail.com <indra.kharisma(a)gmail.com>* _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers - WSensig @ LADC 2021
by Gustaf Neumann 09 Jul '21

09 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - WSensig @ LADC 2021 Date: Thu, 8 Jul 2021 18:43:32 +0000 From: Naercio Magaia <ndmagaia(a)fc.ul.pt> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> 1st Workshop on Security, Privacy and Reliability on Wireless Sensing Networks www.inf.unioeste.br/eventos/wsensing21 The Workshop will be placed with the 10h Latin-American Symposium on Dependable Computing (LADC) that will be held in Florianópolis, Brazil, from 22-26 November. * Contribution submissions Current wireless sensing networks are widely used in a range of applications, such as agriculture, healthcare, and smart cities. The evolution of new physical and virtual wireless networks brings new challenges with the emergence of Cyber Physical Systems (CPS) and Cyber Human Systems (CHS), especially in the context of the industry 4.0 leverage, including environmental, power and motion monitoring. Such solutions generate massive amounts of data through the sensing provided by the various systems, which need to be transmitted over the networks, many of which support real-time decisions under dense environments. In this context, these systems need to be reliable and provide security and privacy in their services. The WSensing workshop aims to bring together leading researchers and practitioners from academia and industry, to advance the state-of-the-art and to identify open challenges on Security, Privacy and Reliability in the range of the Wireless Sensing Networks. Papers must be original and unpublished, and must not be submitted for publication elsewhere concurrently. Accepted contributions will be published by IEEE digital library. Topics of interest include, but are not limited to: Wireless Networks: -Wireless Sensor Networks (WSN) -Internet of Things (IoT) -Vehicular Ad Hoc Networks (VANET) -Unmanned Aerial Vehicle (UAV) -Mobile Networks -Opportunistic Networks -Mobile Edge Computing -5G e B5G Networks and Services Technicals/Approaches/Methods: -Security/Privacy Policies -Blockchain and Distributed Ledgers -Automated Driving Systems (ADS) -Distributed Machine Learning -Resilient Systems -Threat Detection and Protection -Trusted Execution Environments -Low-energy Protocols Applications: -Smart Cities -Smart Grids -Industrial communication -Habitat monitoring -Health care -Cybersecurity environments -Integrated networks environment * Important Dates -Contribution submission: September 5th, 2021. -Author notification: September 24th, 2021. -Camera Ready: October 5th, 2021. * Submission Guidelines Papers must be original and unpublished, and must not be submitted for publication elsewhere concurrently. All paper submissions should follow the IEEE 8.5″ x 11″ Two-Column Format. -Full papers: up to 6 pages (including references), with consistent results; -Short papers: up to 4 pages (including references), presenting work in progress. Accepted contributions will be published by IEEE digital library. *Chairs Aldri Luiz dos Santos, UFMG, Brazil - aldri [AT] dcc.ufmg.br Luiz Antonio Rodrigues, UNIOESTE, Brazil - luiz.rodrigues [AT] unioeste.br _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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Fwd: [AISWorld] Call for Papers - DIDL 2021 : Fifth Workshop on Distributed Infrastructures for Deep Learning
by Gustaf Neumann 08 Jul '21

08 Jul '21

-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers - DIDL 2021 : Fifth Workshop on Distributed Infrastructures for Deep Learning Date: Thu, 8 Jul 2021 10:57:11 -0400 From: Vatche Ishakian <vatchei(a)gmail.com> To: aisworld(a)lists.aisnet.org ----------------------------------------------------------------------------------------------- Please accept our apologies if you receive multiple copies of this CFP ----------------------------------------------------------------------------------------------- DIDL 2021 : Fifth Workshop on Distributed Infrastructures for Deep Learning Deep learning is a rapidly growing field of machine learning, and has proven successful in many domains, including computer vision, language translation, and speech recognition. The training of deep neural networks is resource intensive, requiring compute accelerators such as GPUs, as well as large amounts of storage and memory, and network bandwidth. Additionally, getting the training data ready requires a lot of tooling for data cleansing, data merging, ambiguity resolution, etc. Sophisticated middleware abstractions are needed to schedule resources, manage the distributed training job as well as visualize how well the training is progressing. Likewise, serving the large neural network models with low latency constraints can require middleware to manage model caching, selection, and refinement. All the major cloud providers, including Amazon, Google, IBM, and Microsoft have started to offer cloud services in the last year or so with services to train and/or serve deep neural network models. In addition, there is a lot of activity in open source middleware for deep learning, including Tensorflow, Theano, Caffe2, PyTorch, and MXNet. There are also efforts to extend existing platforms such as Spark for deep learning workloads. This workshop focuses on the tools, frameworks, and algorithms to support executing deep learning algorithms in a distributed environment. As new hardware and accelerators become available, the middleware and systems need to be able exploit their capabilities and ensure they are utilized efficiently. Authors are invited to submit research papers, experience papers, demonstrations, or position papers Topics ---------- This workshop solicits papers from both academia and industry on the state of practice and state of the art in deep learning infrastructures. Topics of interest include but are not limited to: Resource scheduling algorithms for deep learning workloads Advances in deep learning frameworks Programming abstractions for deep learning models Middleware support for hardware accelerators Novel distribution techniques for training large neural networks Case studies of deep learning middleware Optimization techniques for Inferencing Novel debugging and logging techniques Data cleansing, data disambiguation tools for deep learning Data visualization tools for deep learning Federated Learning Neural architecture search Deep Learning at the edge Dates and location --------------------------- Paper submissions: September 14, 2021 Notification to authors: October 12, 2021 Camera-ready copy due: October 16, 2021 Papers and Submissions ----------------------------------- We are looking for the following types of submissions: Research and industry papers (up to 8 pages): Reports on original results including novel techniques, significant case studies or surveys. Authors may include extra material beyond the six pages as a clearly marked appendix, which reviewers are not obliged to read but could read. Position papers (up to 4 pages): Reports identifying unaddressed problems and research challenges. Abstracts (up to 1 page): An extended abstract on a preliminary or ongoing work. Papers must be written in English and submitted in PDF format. All papers should follow ACM formatting instructions, specifically the ACM SIG Proceedings Standard Style. The author kit containing the templates for the required style can be found at http://www.acm.org/publications/proceedings-template. Submissions should not be blinded for review. Please submit your papers via the submission site: https://didl21.hotcrp.com/ All accepted papers will appear in the Middleware 2021 companion proceedings, available in the ACM Digital Library. All accepted papers will also be presented at the workshop, and at least one author of each paper must register for the workshop. Workshop Co-chairs ------------------------------- Bishwaranjan Bhattacharjee, IBM Research Vatche Isahagian, IBM Research Vinod Muthusamy, IBM Research Program Committee (Tentative) -------------------------------------------- Parag Chandakkar, Walmart Labs Ian Foster, Argonne National Laboratory and the University of Chicago Matthew Hill, Dataminr Mayoore Jaiswal, Nvidia Gauri Joshi, Carnegie Mellon University Jayaram K. R., IBM Research Ruben Mayer, Technical University of Munich Pietro Michiardi, Eurecom Phuong Nguyen, eBay Peter Pietzuch, Imperial College Chuan Wu, University of Hong Kong _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

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