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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240517T083000
DTEND;TZID=America/New_York:20240517T153000
DTSTAMP:20260415T045342
CREATED:20240129T180857Z
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SUMMARY:2024 NJBDA Annual Symposium
DESCRIPTION:Artificial Intelligence Impacts on Society & Higher Education\n\n\n\n\n\nThe New Jersey Big Data Alliance (NJBDA) is an alliance of leading higher education institutions\, government organizations and industry members that catalyzes research and collaboration in advanced computing and data analytics\, education\, technology and artificial intelligence (AI). NJBDA’s annual symposium is New Jersey’s premier conference for big data\, advanced computing and AI\, consistently attracting hundreds of attendees from industry\, government\, and academia. \n\n\n\nThe 2024 NJBDA Symposium will be hosted by Rutgers Bloustein School and other collaborators at Rutgers University\, on Friday\, the 17th of May 2024 from 8:30 am to 3:30 pm. \n\n\n\nThe theme for the 2024 NJBDA symposium is ‘AI Impacts on Society & Higher Education’. The symposium will be a collaborative forum for information sharing\, networking\, research and discovery of opportunities and challenges for AI in society and higher education i.e. how will AI transform higher ed teaching and learning\, how can university leaders effectively leverage and manage AI\, AI misuse\, the expanding digital divide\, data bias and ethical implications. \n\n\n\nThe NJBDA is accepting research presentation abstracts until March 22\, 2024. Learn more and submit an abstract. \n\n\n\nSymposium agenda will be posted shortly at the 2024 Symposium page. \n\n\n\n\nRegister now
URL:https://njbda.org/event/2024-njbda-annual-symposium/
LOCATION:Douglass Student Center\, Rutgers University\, 100 George St\, New Brunswick\, New Jersey\, 08901\, United States
CATEGORIES:Annual Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240327T160000
DTEND;TZID=America/New_York:20240327T180000
DTSTAMP:20260415T045342
CREATED:20240325T134338Z
LAST-MODIFIED:20240325T134341Z
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SUMMARY:Generative AI Reverse Pitch
DESCRIPTION:NJBDA / Startupgrind Reverse Pitch Event \n\n\n\n\n\nPlease join us for an AI event at 4PM on Wednesday\, March 27th in Jersey City to learn how generative AI chatbots can help your mission-based organization do more. \n\n\n\nStartup Grind Princeton is matching pro bono tech teams with non-profits and other mission-based organizations to help them improve their service delivery. This is a great way to see how to use AI for good. \n\n\n\nImagine a world where nonprofits harness cutting-edge technology to accelerate their impact. Ignite Change is a program tailored for nonprofits\, empowering them to develop innovative solutions using generative AI.
URL:https://njbda.org/event/generative-ai-reverse-pitch-2/
LOCATION:NJIT Institute for Data Science\, 101 Hudson Street\, Suite 3610\, Jersey City\, NJ\, 07302\, United States
CATEGORIES:pitch
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240320T180000
DTEND;TZID=America/New_York:20240320T183000
DTSTAMP:20260415T045342
CREATED:20240315T155707Z
LAST-MODIFIED:20240315T174122Z
UID:2416-1710957600-1710959400@njbda.org
SUMMARY:AI - Use\, Abuse & an Exciting Future!
DESCRIPTION:Rutgers Bloustein School MPI program will be hosting an interesting webinar on AI – Use\, Abuse & an Exciting Future!  \n\n\n\nJoin us for an interactive presentation on Wednesday 6 PM\, 3/20/2024 by Bloustein AI course participants Alexandra Behette\, Médora Benson\, Md. Nurul Hoque\, Prajwal Nagendra\, Sahar Sherwani\, Seongeun Cho\, Beauty Okunbor\, and Anish Gupta with faculty expert\, Professor Jim Samuel. \n\n\n\nSpecial thanks to Pawel M.\, AI Social Impact Lab for leading this initiative! \n\n\n\n\n\n\n\nLearn more about the event.  \n\n\n\nMPI Program info: https://informatics.rutgers.edu/
URL:https://njbda.org/event/ai-use-abuse-an-exciting-future/
LOCATION:Zoom
CATEGORIES:forum/panel discussion
ATTACH;FMTTYPE=image/jpeg:https://njbda.org/wp-content/uploads/2024/03/bloustein-ai.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240305T123000
DTEND;TZID=America/New_York:20240305T133000
DTSTAMP:20260415T045342
CREATED:20240209T141857Z
LAST-MODIFIED:20240209T142021Z
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SUMMARY:Amy Zhang – Sociotechnical Designs for Democratic and Pluralistic Governance of Social Media and AI
DESCRIPTION:In-person attendance is open to Princeton University faculty\, staff\, students and alumni. This talk is open to the public via Zoom.  \n\n\n\nDecisions about policies when using widely-deployed technologies\, including social media and more recently\, generative AI\, are often made in a centralized and top-down fashion. Yet these systems are used by millions of people\, with a diverse set of preferences and norms. Who gets to decide what are the rules\, and what should the procedures be for deciding them—and must we all abide by the same ones? This talk draws on theories and lessons from offline governance to reimagine how sociotechnical systems could be designed to provide greater agency and voice to everyday users and communities. This includes the design and development of: 1) personal moderation and curation controls that are usable and understandable to laypeople\, 2) tools for authoring and carrying out governance to suit a community’s needs and values\, and 3) decision-making workflows for large-scale democratic alignment that are legitimate and consistent. \n\n\n\nBio:\n\n\n\nAmy X. Zhang is an assistant professor at University of Washington’s Allen School of Computer Science and Engineering\, where she leads the Social Futures Lab\, dedicated to reimagining social and collaborative systems to empower people and improve society. Her work has received awards at ACM CHI and ACM CSCW\, and she has been a Google Research Scholar\, a Belfer Fellow at the ADL\, a Berkman Klein Fellow\, a Google PhD Fellow\, and an NSF CAREER recipient and Graduate Research Fellow. \n\n\n\nHer work has been profiled in BBC’s Click television program\, CBC radio\, and featured in articles by ABC News\, The Verge\, New Scientist\, and Poynter. Besides her work at UW\, she is also a research consultant at AI2 on the Semantic Scholar team\, and prior to UW\, she was a Stanford postdoctoral researcher after completing a Ph.D. at MIT CSAIL\, where she received the George Sprowls Best Thesis Award at MIT in computer science. She received an MPhil in Computer Science at the University of Cambridge on a Gates Fellowship and a BS in Computer Science at Rutgers University\, where she was captain of the Division I Women’s tennis team. \n\n\n\nThis talk will be recorded and posted to the CITP website\, YouTube channel and to Media Central. \n\n\n\nIf you need an accommodation for a disability please contact Jean Butcher at butcher@princeton.edu at least one week before the event.
URL:https://njbda.org/event/amy-zhang-sociotechnical-designs-for-democratic-and-pluralistic-governance-of-social-media-and-ai/
LOCATION:Zoom
CATEGORIES:lectures/talks
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240222T173000
DTEND;TZID=America/New_York:20240222T210000
DTSTAMP:20260415T045342
CREATED:20240209T153938Z
LAST-MODIFIED:20240209T153941Z
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SUMMARY:Meeting the Moment: BIPOC Tech Leader Voices
DESCRIPTION:“Meeting the Moment” is dedicated to uncovering how diverse perspectives drive social change in technology through storytelling. We will feature speakers who are pioneers in their fields\, ready to share their insights\, stimulate discussion\, and offer impactful takeaways. \n\n\n\nFeatured Speakers\n\n\n\n\nJerrel Peterson\, Director\, at Spotify\n\n\n\nSamuel Bradley\, Ph.D.\, M.S.W.\, Professor\, Macro Social Work\, Equity\, Justice\, and Inclusion\n\n\n\nMagdala Chery\, D.O.\, M.B.S.\, M.P.H.\, Physician and Health Equity Advocate\n\n\n\nNnemoma Chuwumerije\, M.S.W.\, Community Enablement Manager\, Lotic Ai\n\n\n\n\nProgram Highlights\n\n\n\nTechTalks: Enlightening talks by our speakers\, detailing their tech journey and insights. \n\n\n\nTechTable: A conversation on reimagining tech innovation at the crossroads of social work. \n\n\n\nPanel Discussion & Q&A: An interactive session with our speakers\, offering direct engagement and insights. \n\n\n\nNetworking Mix and Mingle Following the panel discussion\, we invite you to join us for a networking mix and mingle session. This will be an excellent opportunity to connect with the speakers\, fellow attendees\, and professionals over wine and cheese. It’s a perfect setting to build connections\, share ideas\, and foster collaborations in a relaxed and friendly environment. \n\n\n\nThis event is organized by the Master of Social Work and Master of Public Administration programs and sponsored by the College of Arts and Sciences. \n\n\n\nDon’t miss this opportunity to be part of a meaningful conversation on technology and social impact\, and to network with like-minded individuals passionate about making a difference. \n\n\n\nWe look forward to seeing you there for an evening of insightful discussions and enriching connections.
URL:https://njbda.org/event/meeting-the-moment-bipoc-tech-leader-voices/
LOCATION:Seton Hall University\, Bethany Hall\, Room A\, South Orange\, New Jersey\, ]07079\, United States
CATEGORIES:forum/panel discussion
ATTACH;FMTTYPE=image/webp:https://njbda.org/wp-content/uploads/2024/02/2293_Bethany_exterior_at_night.rev_.1692378236.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240216T093000
DTEND;TZID=America/New_York:20240216T133000
DTSTAMP:20260415T045342
CREATED:20240112T160105Z
LAST-MODIFIED:20240214T194420Z
UID:2236-1708075800-1708090200@njbda.org
SUMMARY:NJBDA Research Collaboration Forum
DESCRIPTION:The New Jersey Big Data Alliance is convening the NJBDA Research Forum which is open to all research professionals\, faculty\, research computing professionals\, students\, and other campus partners interested in shaping the Big Data and AI research collaboration landscape. Please feel free to share with your communities! \n\n\n\nOur keynote speaker is Dr. Stephen K. Burley\, Director of the RCSB Protein Data Bank.  \n\n\n\n Forum highlights: \n\n\n\n\nBig Data and AI Research Collaborations\n\n\n\nCommunities and Resources for Advancing Collaborations\n\n\n\nFunding Opportunities\n\n\n\nEstablish Contacts with the New Jersey Big Data & AI Research Community\n\n\n\n\nFor additional information\, contact research@njedge.net. \n\n\n\nAgenda\n\n\n\nPDF version \n\n\n\n9:30 AMRegistration & Light Refreshments10:00 AMWelcome and Opening Remarks (NJBDA and Saint Peter’s University host institution)Forough Ghahramani\, Vice President\, NJBDA Research Committee; Assistant Vice President\, Research & Innovation\, NJ EdgeSharath Kumar Jagannathan\, Ph.D.\, Assistant Professor;School of Business & Data Science Institute\, Saint Peter’s University10:05 AMNJBDA Updates: New Jersey Big Data Alliance Annual Symposium and The Journal of Big Data and Artificial IntelligenceForough Ghahramani\, Assistant Vice President\, Research & Innovation\, NJ Edge Hieu Nguyen\, Ph.D.\, Professor\, College of Science and Mathematics\, Rowan University10:15 AMResources and Communities for Advancing Research CollaborationsJudith Sheft\, Executive Director\, New Jersey Commission on Science\, Innovation and TechnologyForough Ghahramani\, Assistant Vice President\, Research & Innovation\, NJ Edge10:30 AMKeynote: “Protein Data Bank: From Two Epidemics to the Global Pandemic to mRNA Vaccines and Paxlovid“Stephen K. Burley\, M.D.\, D.Phil; University Professor and Henry Rutgers Chair; Founding Director\, Institute for Quantitative Biomedicine; Director\, RCSB Protein Data Bank; Co-Lead\, Cancer Pharmacology Research Program\, Cancer Institute of New Jersey; Rutgers\, The State University of New Jersey11:15 AMResearch collaboration opportunities – lightning presentations11:15-11:25 – “Blueberry Drone AI: Research collaboration between Rowan University and Camden County College” – Hieu Nguyen\, PhD\, Professor\, College of Science and Mathematics\, Rowan University  11:25– 11:35 – “Unleashing the Power of Ontologies: From Structuring Knowledge to Ethical AI” – Navya Martin\, Ph.D. Candidate\, Department of Computer Science\, New Jersey Institute of Technology  11:35 – 11:45 – “Application of Machine learning and Deep learning to diverse challenges in Bioinformatics and Computational Biology”- Iman Dehzang\, Ph.D. Assistant Professor\, Dept. of Computer Science\, Rutgers\, The State University of New Jersey 11:45 – 11:55 – “Learning Hyperbolic Brain Network Representations for Healthy Aging Trajectories and Cognitive Decline Prediction” – Mengjia Xu\, Ph.D.\, Assistant Professor\, Department of Data Science\, Ying Wu College of Computing\, New Jersey Institute of Technology 12:00 PMResearch funding opportunity and tips for writing successful grant proposalsGreg Monaco\, Ph.D.\, CEO\, Research Advisors12:30 PMWorking Lunch – Roundtable discussions by broad areas of research AI and Machine/Deep LearningCollaboration between 4-year and 2-year schoolsGenerative AI (ex: ChatGPT)Healthcare/MedicineCybersecurity\, Cyber infrastructure\, HPCPhysics\, Astro physicsSmart cities\, IoTSustainabilityOther areas of interest1:15 PMRoundtable Session Reports1:30 PMWorkshop Adjourns and Informal Networking\n\n\n\nParking\n\n\n\nParking is available at Armory Lot located at 686 Montgomery Street. \n\n\n\nAssistance with directions or have any questions about parking\, please contact one of our Team members: \n\n\n\nSupreeth Dandu: +1 571 456 9919Rohith Sanku: +1 551 344 8839 \n\n\n\nPlease share this PDF flyer with your networks!
URL:https://njbda.org/event/njbda-research-collaboration-forum/
LOCATION:Saint Peter’s University – Jersey City Campus\, 2641 John F. Kennedy Blvd\, Dinneen Hall\, 1st Floor\, McIntyre Room\, Jersey City\, NJ\, 07306\, United States
CATEGORIES:forum/panel discussion
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240212T110000
DTEND;TZID=America/New_York:20240212T115000
DTSTAMP:20260415T045342
CREATED:20240209T141031Z
LAST-MODIFIED:20240209T142439Z
UID:2332-1707735600-1707738600@njbda.org
SUMMARY:Performance Engineering for Scalable AI
DESCRIPTION:Speaker: Xuhao Chen\, Research Scientist\, MIT CSAIL\n\n\n\nHosted by Stevens Institute of Technology \n\n\n\nLocation: Gateway North 303 (with virtual option)\n\n\n\nABSTRACT\n\n\n\nDue to massive size\, complex algorithms and irregular data structures\, AI applications are expensive and hard to scale\, which poses great challenges in computing system design. \n\n\n\nIn this talk\, I will discuss my approach called cross-stack performance engineering\, to address this challenge. I will describe software and hardware system design principles\, optimization techniques and automation methodologies\, across different layers of the system stack. I will show promising results to demonstrate that this cross-stack approach is effective to make AI scalable. \n\n\n\nBIOGRAPHY\n\n\n\nXuhao Chen is a Research Scientist at MIT CSAIL. Dr. Chen is broadly interested in parallel systems and architectures\, with a focus on AI and big-data applications. His recent work aims to make AI scalable by designing efficient algorithms\, software systems and hardware accelerators. His work has been published in OSDI\, ISCA\, MICRO\, VLDB\, ICS\, etc. \n\n\n\nZoom link: https://stevens.zoom.us/j/91365277622
URL:https://njbda.org/event/performance-engineering-for-scalable-ai/
LOCATION:Gateway Academic Center\, 6th Street Lot\, 601 Hudson St\, Hoboken\, New Jersey\, 07030\, United States
CATEGORIES:lectures/talks
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240206T143000
DTEND;TZID=America/New_York:20240206T153000
DTSTAMP:20260415T045342
CREATED:20240202T165810Z
LAST-MODIFIED:20240202T170109Z
UID:2317-1707229800-1707233400@njbda.org
SUMMARY:NJIT Data Science Seminar Series
DESCRIPTION:Data Science Seminar Series in collaboration with the Department of Data Science \n\n\n\n“Structure-Enhanced Text Mining for Understanding and Augmenting Scientific Discovery” \n\n\n\nYu Zhang University of Illinois Urbana-Champaign \n\n\n\nLocation: Guttenberg Information Technologies Center (GITC) Building\, Room 4402 (4th floor lecture hall) (Coffee served at 2:15 PM)  \n\n\n\nZoom Meeting Link \n\n\n\nHosted by Shuai Zhang  \n\n\n\nLanguage models pre-trained on large-scale text corpora have achieved remarkable success in building text mining systems. Meanwhile\, text is usually accompanied by various types of structural signals\, such as document metadata\, concept ontologies\, and citation networks\, that can potentially benefit the understanding of text. To enhance the effectiveness of text mining methods\, my research focuses on teaching language models to exploit structural information for both fundamental tasks and advanced domain-specific applications\, with an emphasis on understanding and augmenting scientific discovery. In the first part of the talk\, I will present structure-aware classification algorithms that can predict relevant categories of a scientific paper from hundreds of thousands of candidate classes. These methods have been adapted into the Microsoft Academic Graph production pipeline. The second part of the talk will introduce seed-guided topic mining approaches that find category-indicative entities and structural signals. In the third part\, I will discuss how to leverage multi-task language model pre-training techniques to facilitate advanced applications in the scientific domain\, such as patient-to-article retrieval and paper-reviewer matching. Finally\, I will outline future research directions\, including structure-aware usage of large language models\, flexible translation between different types of scientific data\, and data mining for accelerating science and innovation.  \n\n\n\nYu Zhang is a Ph.D. candidate in the Department of Computer Science at the University of Illinois Urbana-Champaign\, advised by Prof. Jiawei Han. Prior to UIUC\, he received his B.Sc. degree in Computer Science from Peking University. Yu’s research focuses on structure-enhanced text mining and its applications in scientific literature understanding. His first-authored papers have been published in top-tier venues in the fields of data mining\, natural language processing\, and information retrieval. Yu has been awarded the UIUC Dissertation Completion Fellowship and the Yunni & Maxine Pao Memorial Fellowship.
URL:https://njbda.org/event/njit-data-science-seminar-series/
LOCATION:Guttenberg Information Technologies Center (GITC)\, 218 Central Ave\, Newark\, New Jersey\, 07102\, United States
CATEGORIES:lectures/talks
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231117T120000
DTEND;TZID=America/New_York:20231117T130000
DTSTAMP:20260415T045342
CREATED:20231012T153725Z
LAST-MODIFIED:20231110T141403Z
UID:2183-1700222400-1700226000@njbda.org
SUMMARY:Rutgers Informatics Forum: Open Data & Artificial Intelligence
DESCRIPTION:Rutgers Informatics Forum: Open Data & Artificial Intelligence \n\n\n\nThe Open Data – AI panel: \n\n\n\n\nPoonam Soans\, CDO & Director of App Development\, State of New Jersey\n\n\n\nRakesh Kumar\, PhD\, Vice President\, ICS\, CVT\, SRI International\n\n\n\nClint Andrews\, PhD\, Professor\, Bloustein\, Rutgers University\n\n\n\nRachel Rosenthal\, Bloomberg\, Editorial board member\n\n\n\nJim Samuel\, PhD\, Bloustein\, Rutgers University (moderator)\n\n\n\n\nPart of the Intelligent Informatics @ Bloustein webinar series
URL:https://njbda.org/event/rutgers-informatics-forum-open-data-artificial-intelligence/
LOCATION:Zoom
CATEGORIES:forum/panel discussion
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231106T133000
DTEND;TZID=America/New_York:20231106T170000
DTSTAMP:20260415T045342
CREATED:20231012T150451Z
LAST-MODIFIED:20231012T150739Z
UID:2170-1699277400-1699290000@njbda.org
SUMMARY:NJIT Data Science Summit
DESCRIPTION:The NJIT and Data Science community is invited to join the Institute for Data Science in an open summit with key industry professionals and NJIT research faculty with topics on Data Science and its implementation. \n\n\n\nSpeakers: \n\n\n\n\nXiaojing Wang\, Distinguished Engineer\, ADP\n\n\n\nUsman Roshan\, Associate Professor\, NJIT\n\n\n\nMengjia Xu\, Assistant Professor\, NJIT\n\n\n\nErez Agmoni\, Global Head of Innovation (Logistics & Services)\, Maersk\n\n\n\nMegnan Du\, Assistant Professor\, NJIT\n\n\n\nSherry Marcus\, Director\, Titan Labs AWS
URL:https://njbda.org/event/njit-data-science-summit/
LOCATION:NJIT@Jersey City\, 101 Hudson St\, Suite 3610\, Jersey City\, New Jersey\, United States
CATEGORIES:symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T090000
DTEND;TZID=America/New_York:20230922T143000
DTSTAMP:20260415T045342
CREATED:20230922T135239Z
LAST-MODIFIED:20230922T135350Z
UID:2153-1695373200-1695393000@njbda.org
SUMMARY:NJBDA Annual In-Person Meeting
DESCRIPTION:
URL:https://njbda.org/event/njbda-annual-in-person-meeting/
LOCATION:Princeton Innovation Center Biolabs\, 303A College Road East\, Princeton\, New Jersey
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230523T090000
DTEND;TZID=America/New_York:20230524T160000
DTSTAMP:20260415T045342
CREATED:20230215T142532Z
LAST-MODIFIED:20230922T143428Z
UID:1749-1684832400-1684944000@njbda.org
SUMMARY:Cyberinfrastructure for Research Data Management Workshop
DESCRIPTION:Princeton University\, Edge\, Globus\, and EPOC (TACC and ESnet\, partners of EPOC) are hosting the Cyberinfrastructure for Research Data Management workshop on the Princeton University campus this coming May 23-24\, 2023 starting daily at 9 a.m. The in-person workshop is designed to help research computing professionals deploy next-gen cyberinfrastructure that can effectively support data-intensive science. \n\n\n\nThe workshop will consist of two days of presentation material that focus on the concepts of the Science DMZ\, Data Management using Globus\, perfSONAR network measurement\, and other affiliated Research & Education best common practices that are designed to operate modern research and education networks to support data intensive science.  \n\n\n\nThe content is intended for anyone supporting infrastructure and/or developing applications for research and education\, and will be particularly useful to the following groups: \n\n\n\n\nNSF Campus Cyberinfrastructure awardees (and those preparing for the next CC* solicitation)\n\n\n\nResearch computing administrators and technical staff\n\n\n\nCampus enterprise storage infrastructure managers\n\n\n\nCore facility (NGS\, cryoEM\, fMRI\, etc.) IT staff\n\n\n\n\nOutcomes: By the end of the event\, attendees will have a better understanding of the requirements for supporting scientific use of the network\, architectural strategies that can simplify these interactions\, and tools that can transform and automate data management for researchers. \n\n\n\nEvent Details: \n\n\n\n\nDay 1: May 23\, 9 a.m. to 4 p.m.\n\n\n\nDay 2: May 24\, 9 a.m. to 4 p.m.\n\n\n\nCost: $49.00/person\n\n\n\nSpeakers and Full Agenda: Draft agenda and speaker list is now available online.\n\n\n\n\nPlease contact Forough Ghahramani at research@njedge.net if you need additional information.
URL:https://njbda.org/event/cyberinfrastructure-for-research-data-management/
LOCATION:New Jersey
CATEGORIES:workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230509T080000
DTEND;TZID=America/New_York:20230509T170000
DTSTAMP:20260415T045342
CREATED:20221201T142821Z
LAST-MODIFIED:20240412T143256Z
UID:1697-1683619200-1683651600@njbda.org
SUMMARY:2023 NJBDA Annual Symposium
DESCRIPTION:The New Jersey Big Data Alliance (NJBDA) is an alliance of 18 higher education institutions\, as well as industry and government members\, that catalyzes collaboration in advanced computing and data analytics research\, education and technology. \n\n\n\nThe NJBDA’s annual symposium is New Jersey’s premier conference for big data & advanced computing\, consistently attracting 200+attendees from industry\, government\, and academia. View 2023 Symposium agenda and register.
URL:https://njbda.org/event/njbda-annual-symposium/
LOCATION:Seton Hall University
CATEGORIES:Annual Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230503T090000
DTEND;TZID=America/New_York:20230503T130000
DTSTAMP:20260415T045342
CREATED:20230310T200316Z
LAST-MODIFIED:20230314T125807Z
UID:1796-1683104400-1683118800@njbda.org
SUMMARY:Big Data for Small Business: Leveraging Data for Business Growth
DESCRIPTION:The New Jersey Big Data Alliance\, US Economic Development Administration\, Edge and the Center for Business Analytics at Rider University’s Norm Brodsky College of Business invite you to learn how your small business can leverage big data. Join us for two informative panels and a networking lunch. \n\n\n\nSessions include: \n\n\n\n\nChallenges and opportunities in the adoption of technology and use of data by small businesses. Panelists: Laura Glotzbach\, LGS Marketing Services; Joe Hudicka\, Neurored; Ramesh Gudalur\, Cognitive Operations; Stuart Altschuler\, Trenton Health Team\n\n\n\nRole of ecosystem stakeholders in helping small businesses leverage big data and related technologies. Panelists: Elayne McClaine\, NJ Small Business Development Center – Rutgers\, New Brunswick; Jeffrey A. Robinson\, PhD\, Rutgers University; Judith Sheft\, NJ Commission on Science\, Innovation and Technology; Jasmine Ward\, TechUnited\n\n\n\n\nPanel moderators: Emre Yetgin\, Director\, Center for Business Analytics; Forough Ghahramani\, Assistant VP\, Research\, Innovation & Sponsored Programs\, Edge; Linda Lindner\, Managing Editor\, ROI-NJ. \n\n\n\nLunch and networking session to follow. \n\n\n\nDownload flyer (PDF)
URL:https://njbda.org/event/big-data-for-small-business-leveraging-data-for-business-growth/
LOCATION:Rider University\, Lynch Adler Hall 202\, 2083 Lawrenceville Road\, Lawrenceville\, New Jersey\, 08648\, United States
CATEGORIES:forum/panel discussion
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230428T100000
DTEND;TZID=America/New_York:20230428T113000
DTSTAMP:20260415T045342
CREATED:20230317T202208Z
LAST-MODIFIED:20230922T143533Z
UID:1850-1682676000-1682681400@njbda.org
SUMMARY:Advanced Manufacturing Efficiencies Through Technology
DESCRIPTION:Outstanding speakers! \n\n\n\n\nDonald Coakley\, Principal\, Plant Automation Group\n\n\n\nFrank Catalana\, Vice President of Operations\, Cumberland Dairy\n\n\n\nNolan Lewin\, Executive Director\, The Food Innovation Center\, Rutgers University (moderator)\n\n\n\n\nVia Zoom. \n\n\n\nDownload flyer (PDF) \n\n\n\nEvent Sponsored by the US Economic Development Administration
URL:https://njbda.org/event/advanced-manufacturing-efficiencies-through-technology/
LOCATION:New Jersey
CATEGORIES:workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230421T110000
DTEND;TZID=America/New_York:20230421T133000
DTSTAMP:20260415T045342
CREATED:20230310T203109Z
LAST-MODIFIED:20230421T133922Z
UID:1811-1682074800-1682083800@njbda.org
SUMMARY:POSTPONED TO FALL 2023: GSODI Forum on Open Data and Artificial Intelligence
DESCRIPTION:EVENT RESCHEDULED FOR FALL 2023 \n\n\n\nA discussion of the value creation potential of aligning open data with AI\, especially generative AIs like ChatGPT and Bloom\, with reflections on public policy\n\n\n\nThis Open Data Forum will consist of a panel of eminent experts from the government\, academia\, business and media\, and will present leading ideas on topics of growing importance related to open data and artificial intelligence (AI) with a focus on the impacts of aligning open data initiatives with artificial intelligence (AI)\, and the benefits and challenges of using applications such as Bloom\, Stable Diffusion and CodeWhisperer: How will this impact the open data movement? Can ChatGPT output be treated as open data and what are the implications of treating the output from generative AIs as open data? This discussion was inspired by research on the Garden State Open Data Index (GSODI). \n\n\n\nThe Open Data – AI panel includes eminent experts as guest speakers: \n\n\n\n\nPoonam Soans\, Chief Data Officer & Director of Application Development\, State of New Jersey;\n\n\n\nRakesh (Teddy) Kumar\, PhD.\, Vice President\, ICS\, Center for Vision Technology\, SRI International\,\n\n\n\nClint Andrews\, PhD\, Professor & Associate Dean\, Bloustein School\, Rutgers University\, and\n\n\n\nRachel Rosenthal\, Bloomberg\, editorial board member\n\n\n\n\nThe discussion will be moderated by professor Jim Samuel\, Executive Director\, Bloustein School Informatics Program. \n\n\n\nRegistration required. \n\n\n\n\n11:00 AM – Coffee and welcome\n\n\n\n11:30 AM – 12:30 PM – Open Data Forum\, panel of experts’ presentation and discussion\n\n\n\n12:30 PM – 1:30 PM – Round-table lunch with guest speakers\, students and faculty\n\n\n\n\nDownload flyer (PDF)
URL:https://njbda.org/event/gsodi-forum-on-open-data-and-artificial-intelligence-2/
LOCATION:Gov. James J. Florio Special Events Forum\, 33 Livingston Avenue\, New Brunswick\, New Jersey\, 08901\, United States
CATEGORIES:forum/panel discussion
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230418T100000
DTEND;TZID=America/New_York:20230418T130000
DTSTAMP:20260415T045342
CREATED:20230311T150608Z
LAST-MODIFIED:20230406T132409Z
UID:1825-1681812000-1681822800@njbda.org
SUMMARY:Collaboration for Articulation Agreements
DESCRIPTION:The NJ Pathways to Career Opportunities Initiative and New Jersey’s Big Data Alliance are partnering to bring together New Jersey’s Community Colleges and 4-Year Colleges and Universities to expand articulation agreements. This convening will be an opportunity for the institutions of higher education to develop more collaborative relationships and increase the number of articulation agreements between them. \n\n\n\nLearn about the NJ Pathways Initiative and its emphasis on Data Science\, and learn how articulation agreements in Data Science have worked between other New Jersey institutions. \n\n\n\nPlease register as soon as possible to reserve your seat.  \n\n\n\nMeeting Details: \n\n\n\n\nDate: Tuesday\, April 18\, 2023\n\n\n\nTime: 10:00 AM to 1:00 PM (lunch served)\n\n\n\nLocation: Middlesex College | Crabiel Hall\, Brunswick Room\n\n\n\n\nSeating is limited so please register as soon as possible to reserve your spot. \n\n\n\nRegistration begins at 9:30 AM. Networking lunch served at 12 PM.  \n\n\n\nDownload flyer (PDF)
URL:https://njbda.org/event/collaboration-for-articulation-agreements/
LOCATION:Middlesex College\, Crabiel Hall\, Brunswick Room\, 2600 Woodbridge Avenue\, Edison\, New Jersey\, 08818-3050\, United States
CATEGORIES:forum/panel discussion,meeting
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230404T133000
DTEND;TZID=America/New_York:20230404T163000
DTSTAMP:20260415T045342
CREATED:20230228T141216Z
LAST-MODIFIED:20230519T201925Z
UID:1768-1680615000-1680625800@njbda.org
SUMMARY:NJBDA Smart Ports Workshop
DESCRIPTION:NJBDA Smart Ports Workshop \n\n\n\nwith the support from the US Economic Development Administration \n\n\n\nJoin us for the New Jersey Big Data Alliance (NJBDA) Smart Ports Virtual Workshop on April 4th  to discover the benefits and opportunities for innovations in port systems. Members of government\, faculty\, students\, port-related businesses and the general public are invited to attend this event. \n\n\n\n \n\n\n\nHosted by:  \n\n\n\nNew Jersey Institute of Technology Institute for Data Science \n\n\n\nModerated by: David Bader\, Director\, Institute for Data Science\, NJIT  \n\n\n\nAn Introduction by: Peggy Brennan-Tonetta\, NJBDA Co-Founder and Past-President\, and Director\, Resource and Economic Development\, Rutgers New Jersey Agricultural Experiment Station\, Rutgers University  \n\n\n\nConfirmed Speakers:  \n\n\n\nBeth RooneyPort Director at The Port Authority of New York and New Jersey \n\n\n\nDennis MontsChief Operations Officer for Advent eModal  \n\n\n\nAnne Strauss-WiederDirector\, Freight Planning\, at North Jersey Transportation Planning Authority \n\n\n\nDate: Tuesday\, April 4th\, 2023  \n\n\n\nTime: 1:30 PM – 4:30 PM ET \n\n\n\nTo Register: https://www.eventbrite.com/e/njbdaus-eda-smart-ports-workshop-tickets-565287709757 \n\n\n\n \n\n\n\nWorkshop Overview: Three-hour virtual event via Zoom. Each talk is estimated to be 30-45 minutes\, with time for questions and discussion. There will be no monetary cost to attend this event. Additional updates and workshop details will be provided soon. Please contact the event organizers if you have any questions. Thank You! \n\n\n\nDownload PDF flyer
URL:https://njbda.org/event/njbda-smart-ports-workshop/
LOCATION:New Jersey
CATEGORIES:workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230318T090000
DTEND;TZID=America/New_York:20230318T170000
DTSTAMP:20260415T045342
CREATED:20230210T185153Z
LAST-MODIFIED:20230210T191155Z
UID:1740-1679130000-1679158800@njbda.org
SUMMARY:42nd Annual Coriell Science Fair
DESCRIPTION:From Coriell Institute for Medical Research: \n\n\n\n2023 marks the 42nd year the Coriell Institute for Medical Research has hosted its annual Science Fair. We are proud to be able to showcase the very best of South Jersey’s science programs. Bright young students from Burlington\, Camden\, and Gloucester counties in grades 6 through 12 demonstrate their passion for science in exceptional projects that span the sciences\, including biochemistry\, botany\, computer science\, mathematics\, medicine and health\, physics\, and zoology. In addition to category awards\, special awards are also distributed. The special awards vary year to year depending on sponsorships; previous awards include the Lewis L. Coriell Best of Fair Award\, Best of Life Sciences award\, and even community college scholarships! Coriell Science Fair winners advance to the Delaware Valley Regional Science Fair (DVSF). DVSF winners can advance to the highly-acclaimed Regeneron International Science and Engineering Fair.
URL:https://njbda.org/event/42nd-annual-coriell-science-fair/
LOCATION:New Jersey
CATEGORIES:science fair
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221201T000000
DTEND;TZID=America/New_York:20221201T235959
DTSTAMP:20260415T045342
CREATED:20220808T140152Z
LAST-MODIFIED:20220808T174040Z
UID:1610-1669852800-1669939199@njbda.org
SUMMARY:Call for Submissions for Special Issue of JBDTP
DESCRIPTION:It is our great pleasure to announce the call for manuscripts for the Journal of Big Data Theory and Practice (JBDTP) special issue – Enabling Technologies in Intelligent Healthcare: From the Internet of Things (IoT)\, To Artificial Intelligence\, Big Data\, and Blockchain. \n\n\n\nImportant DatesSubmissions Deadline: December 1\, 2022Revision Due: March 1\, 2023First Reviews Due: February 15\, 2023Second Reviews Due: March 15\, 2023 \n\n\n\nPlease visit the JBDTP website for additional information about submissions.
URL:https://njbda.org/event/call-for-submissions-for-special-issue-of-jbdtp/
LOCATION:New Jersey
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221116T093000
DTEND;TZID=America/New_York:20221116T130000
DTSTAMP:20260415T045342
CREATED:20221110T042715Z
LAST-MODIFIED:20221110T042718Z
UID:1658-1668591000-1668603600@njbda.org
SUMMARY:In-Person November Technology & Innovation Collaborative Meeting (AM)
DESCRIPTION:Participate in the Center of Workforce Innovation for Data Science Report Out and Pathways Overviews \n\n\n\nPlease join us for the In-Person November NJ Pathways to Career Opportunities Technology & Innovation Collaborative Meeting. \n\n\n\nParticipate in the Center of Workforce Innovation for Data Science Report Out\, recieve information on Data Science programs at County College of Morris and Camden County College\, and engage with industry expects during a Data Science Industry Panel.   \n\n\n\nMeeting Details: \n\n\n\n\nWednesday\, November 16\, 2022 | 10 AM to 1 PM\n\n\n\nRegistration and Coffee Service begins at 9:30 AM\n\n\n\nCounty College of Morris | Meeting Room TBD (214 Center Grove Rd. Randolph\, NJ 07869)\n\n\n\nNetworking Lunch from 12 PM to 1 PM\n\n\n\n\nSeating is limited so please register as soon as possible to reserve your spot. \n\n\n\nNew Jersey’s Community Colleges and the New Jersey Business and Industry Association have joined together for this unprecedented statewide Pathways initiative with employers\, industry associations\, chambers of commerce\, labor unions\, education institutions\, and workforce development partners. 
URL:https://njbda.org/event/in-person-november-technology-innovation-collaborative-meeting-am/
LOCATION:County College of Morris\, 675 New Jersey 10\, Randolph\, New Jersey\, 07869
CATEGORIES:meeting
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T110000
DTEND;TZID=America/New_York:20221111T121500
DTSTAMP:20260415T045342
CREATED:20221102T185309Z
LAST-MODIFIED:20221102T190325Z
UID:1645-1668164400-1668168900@njbda.org
SUMMARY:Intelligent Informatics @ Bloustein Workshop and Seminar Series - Nov 11 (Zoom/in-person)
DESCRIPTION:Knowledge Graphs in Natural Language Processing: Overcome Domain Adaptation Challenges in Language Models \n\n\n\nThe event is hosted by the PISG\, the MPI program and the Rutgers Urban & Civic Informatics (RUCI) Lab\, the Bloustein Student Services and BGSA in collaboration with our partners at Rutgers University and our external collaborators. \n\n\n\nEvent presented by Vivek Kumar\, Marie Sklodowska-Curie Scholar\, University of Cagliari\, Italy \n\n\n\nVivek Kumar is an NLP Enthusiast. He is presently working as a Marie Sklodowska-Curie Researcher with the University of Cagliari\, Italy and Philips Research\, Netherlands for PhilHumans (European Commission\, Horizon 2020\, ITN project). Prior to this\, he worked as a Research Engineer for the project “Search for Hidden Particle” (SHiP) of the European Commission of Nuclear Research (CERN) at NUST-MiSiS. He received his MS degree from NUST-MiSiS in Computer Science. In his career so far\, he has authored several publications with Journals\, Book Series and Conferences of International repute. He is also the reviewer / editor for several Journals and International Conferences of IEEE\, Springer\, ACM\, etc; \n\n\n\nPISG Student leaders will present their experiences with studying informatics and analytics at the Bloustein School. Prof. Jim Samuel\, Director of the Master of Public Informatics (MPI) program\, will provide closing comments on the potential for using NLP in AI for public good initiatives. \n\n\n\nREGISTRATION REQUIRED \n\n\n\nZOOM: https://rutgers.zoom.us/webinar/register/WN_HUlNtxeWT4-V3lKbid4ODw \n\n\n\nIn person: RSVP to rucilab@ejb.rutgers.eduRoom 112\, Bloustein School\, 33 Livingston Avenue\, New Brunswick\, NJPizza and drinks will be available for in-person attendees!Informatics ‘Listening Session’ will start @ 12:15 PM \n\n\n\nDownload PDF flyer
URL:https://njbda.org/event/intelligent-informatics-bloustein-workshop-and-seminar-series-nov-11-zoom-in-person/
LOCATION:Bloustein School – Room 112\, 33 Livingston Avenue\, New Brunswick\, New Jersey\, United States
CATEGORIES:workshops
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T190000
DTEND;TZID=America/New_York:20221019T203000
DTSTAMP:20260415T045342
CREATED:20220926T212038Z
LAST-MODIFIED:20221102T184339Z
UID:1622-1666206000-1666211400@njbda.org
SUMMARY:Open Data for Society: Accelerating Solutions for Society’s Most Pressing Challenges
DESCRIPTION:WATCH RECORDING \n\n\n\nREGISTER \n\n\n\nIntelligent Informatics @ Bloustein Workshop and Seminar Series \n\n\n\nThe event is hosted by the Rutgers Urban & Civic Informatics (RUCI) Lab\, in collaboration with our partners\, New Jersey State Policy Lab\, OARC – Rutgers University\, the Ecosystem for Research Networking (ERN)\, the Northeast Big Data Innovation Hub – NSDC\, and the New Jersey Big Data Alliance (NJBDA). \n\n\n\nThis virtual workshop will consist of presentations followed by a hands-on demo\, and end with Q&A.  \n\n\n\nWe welcome our distinguished speakers Anthony Cintron Roman and Lucas A Meyer from the AI for Good Lab @ Microsoft! \n\n\n\nAnthony Cintron Roman is currently the Director of Data Architecture & Strategy with the AI for Good Lab at Microsoft\, where he works with a team of data engineers\, data scientists and researchers in Machine Learning and data science-based projects across Microsoft AI for Good efforts. He specializes in cloud solution architecture and open innovation and has a B.S in computer science and an M.B.A with a specialty in the management of information systems. \n\n\n\nLucas A. Meyer is the Principal Data Scientist with the AI for Good Lab at Microsoft\, and he specializes in models to promote economic development and detect financial misconduct. Lucas also worked in fraud detection at Amazon\, and has an M.Sc. and an MBA from the University of Washington. \n\n\n\nProf. Jim Samuel\, Director of the Master of Public Informatics (MPI) program at Bloustein\, will provide closing comments on the potential societal implications of combining artificial intelligence and open data. \n\n\n\n10192022-IntelligentInformaticsEJBDownload
URL:https://njbda.org/event/open-data-for-society-accelerating-solutions-for-societys-most-pressing-challenges/
LOCATION:New Jersey
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221014T090000
DTEND;TZID=America/New_York:20221014T150000
DTSTAMP:20260415T045342
CREATED:20220929T153147Z
LAST-MODIFIED:20220929T153150Z
UID:1632-1665738000-1665759600@njbda.org
SUMMARY:2022 New Jersey Cybersecurity Virtual Conference: Connect-Collaborate-Careers
DESCRIPTION:For all the college students who dream of a career in cybersecurity\, Seton Hall University is proud to announce the 2022 New Jersey Cybersecurity Virtual Conference: Connect-Collaborate-Careers. The third annual statewide cybersecurity conference will connect students\, university faculty and administrators with cybersecurity business leaders. Registration is now open for the free virtual conference\, scheduled for October 14 from 9 a.m. to 3 p.m. ET. \n\n\n\nOpen to all of New Jersey’s higher education communities and cybersecurity industries\, this conference is designed to raise awareness of cybersecurity career opportunities for higher education students and new college graduates to convey the appeal of cybersecurity careers. Business leaders and university experts will speak about resources available to students seeking a cybersecurity career\, as well as discuss the qualities ideal job candidates possess. \n\n\n\nThe conference is also open to college students and new graduates outside of New Jersey. All attendees will receive a certificate of participation. For more information on the conference\, speakers and detailed agenda\, preview the conference website. \n\n\n\nCelebrating National Cybersecurity Awareness Month\, the event is sponsored by Seton Hall University and PSEG. \n\n\n\nSusan Scherreik\, director of the Center of Innovation and Entrepreneurship at Seton Hall’s Stillman School of Business\, is serving as co-chair of the event. “There is an explosion of highly-paid jobs and new career paths in cybersecurity. Average salaries begin at more than $70\,000 and experienced professionals can earn $200\,000 or more in this industry\,” said Scherreik. “There are not enough candidates to fill this growing field with jobs available to students in a wide range of academic disciplines. In New Jersey alone there are more than 15\,000 cybersecurity positions available and more than 700\,000 open nationwide.” \n\n\n\nConference highlights include a keynote address by Sam Curry\, Chief Security Officer for Cybereason. A visiting fellow at the National Security Institute\, he has more than 25 patents for his time as a security architect. He led two successful startups and served on the board of the Cybersecurity Coalition of SSH Communications and of Sequitur Labs (in the IoT security space) in addition to several advisorships across the security spectrum. \n\n\n\nDelivering the conference welcome speech is New Jersey’s Secretary of Higher Education Brian K. Bridges\, Ph.D.\, who is responsible for policy development and coordination of higher education activities for the state. He also coordinates initiatives to improve college affordability in New Jersey through the State Plan for Higher Education and enhance postsecondary opportunities while promoting equity and access for all through programs such as the state’s Community College Opportunity Grant (CCOG). \n\n\n\nEvent co-chair Manfred Minimair\, Ph.D. is a professor in the department of mathematics and computer science and directs Seton Hall’s academic cybersecurity efforts. “This conference uniquely connects students with employers and academics working in Cybersecurity\,” he said. “It is a great opportunity for students to learn about careers\, get more information about skills needed for Cybersecurity and network with professionals.” \n\n\n\nThrough the Whova event and conference app\, attendees can virtually register and participate in four panel discussions\, which will feature cybersecurity experts from Seton Hall University\, PSEG\, Verizon\, RWJ Barnabas Health\, Mandiant\, JP Morgan Chase\, Eastern Bank\, OceanFirst Bank\, SDG Corporation and Novacoast. \n\n\n\nPanel 1: Preparing for a Career in CybersecurityThis panel will discuss what are the skills\, experiences and practical knowledge employers are looking for when hiring into cybersecurity positions\, especially entry level positions.Panel 2: Diversity Employment in Cybersecurity: Opportunities for Women and MinoritiesWomen and minorities comprise only about 20% of the cybersecurity workforce\, but now has never been a better time for women and minorities to pursue a cybersecurity career. Our panel of executives will speak about their own career paths and provide advice to new graduates seeking internships and jobs in cybersecurity.Panel 3: Day in a LifeAttendees will be able to question recent graduates working in cybersecurity about their positions\, their companies\, and how they got their start.Panel 4: Student PresentationsHear from four talented undergraduates on their early contributions to the cybersecurity industry.\n\n\n\nClick here for more information and to register. And be sure to join the conversation: #NJCyberSecurity2022 
URL:https://njbda.org/event/2022-new-jersey-cybersecurity-virtual-conference-connect-collaborate-careers/
LOCATION:Online
CATEGORIES:conference
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T000000
DTEND;TZID=America/New_York:20220915T235959
DTSTAMP:20260415T045342
CREATED:20220204T155956Z
LAST-MODIFIED:20220808T140411Z
UID:1110-1663200000-1663286399@njbda.org
SUMMARY:Journal of Big Data Theory and Practice (JBDTP) Call for Manuscripts
DESCRIPTION:It is our great pleasure to announce the call for papers for the Journal of Big Data: Theory and Practice (JBDTP). JBDTP is an open access peer-reviewed journal which is devoted to the publication of high-quality papers on the theoretical and practical aspects of big data\, AI\, applications and machine learning. \n\n\n\nAuthors are invited to submit novel\, high quality work that has neither appeared in\, nor is under consideration for publication elsewhere. \n\n\n\nAreas of interest include the following (but not restricted to):  \n\n\n\n• Theory and Foundational Issues• Data Mining Methods• Machine Learning Algorithms• Knowledge Discovery Processes• Application Issues and Case Studies• Ethical\, policy and economic aspects of big data\, machine learning and AI • Big data analytics and decision-making• Human interaction with AI \n\n\n\nSubmission Guidelines\n\n\n\nManuscripts (MS Word or PDF format)\, formatted in a single column\, with double spacing\, 12 pt. font and numbered pages. An abstract of 250 words or fewer should be included. Author names and identification information must be restricted to the initial Title page (Title\, author names\, affiliation\, contact details and brief 3 to 4 sentence bios.)\, to facilitate blind peer review. Other than these\, there are no style restrictions (e.g. APA\, IEEE etc.) for the initial submission. All papers will undergo the journal’s rigorous peer review process which can be found on the JBDTP journal website. Manuscripts must be submitted here. The editorial team aims to provide an initial decision within 3 months of acceptance for review. Final paper needs to be no more than 10 pages in length\, please refer to author guidelines. \n\n\n\nImportant Dates\n\n\n\nManuscript submission is on a rolling basis\, and will remain open perpetually. The submission window for the next issue will close on March 15\, 2022. \n\n\n\nMore information on the JBDTP site.
URL:https://njbda.org/event/jbdtp-call-for-manuscripts-deadline/
LOCATION:New Jersey
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220807T235900
DTEND;TZID=America/New_York:20220807T235900
DTSTAMP:20260415T045342
CREATED:20220711T130424Z
LAST-MODIFIED:20220711T130427Z
UID:1599-1659916740-1659916740@njbda.org
SUMMARY:Deadline for NJBDA Externship applications
DESCRIPTION:Externships through this partner program are provided by the Rutgers Masters of Business and Science (MBS) Externship Exchange Program and the NJBDA via a grant from the US Economic Development Administration (US-EDA). Upon successful completion\, students are eligible for a $2\,000 fellowship. More details on the NJBDA Externship page.
URL:https://njbda.org/event/deadline-for-njbda-externship-applications/
LOCATION:New Jersey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220509T000000
DTEND;TZID=America/New_York:20220509T235959
DTSTAMP:20260415T045342
CREATED:20211220T185741Z
LAST-MODIFIED:20240412T143513Z
UID:1021-1652054400-1652140799@njbda.org
SUMMARY:2022 NJBDA Symposium
DESCRIPTION:Tickets are now available for the 9th Annual New Jersey Big Data Alliance Symposium\, hosted by the New Jersey Institute of Technology. \n\n\n\nThe theme for the 9th Annual Symposium is “Building the Workforce Pipeline for a Data-Driven Economy” and will include keynotes\, a panel discussion\, and workshops. This year’s symposium will be held in person at the New Jersey Institute of Technology. \n\n\n\nOur keynote speakers are Stephen Ezell\, Vice President\, Global Innovation Policy\, Information Technology and Innovation Foundation and Florence Hudson\, Executive Director\, Co-Principal Investigator\, Northeast Big Data Innovation Hub. Visit the 2022 Symposium page for more information. \n\n\n\nFor questions\, please contact David Bader. For sponsorship and exhibitor inquiries\, please contact Selenny Fabre at info.datascience@njit.edu. \n\n\n\nView the agenda and speaker bios at the 2022 Symposium page. \n\n\n\nBUY TICKETS NOW
URL:https://njbda.org/event/2022-njbda-symposium/
LOCATION:Campus Center\, New Jersey Institute of Technology\, Newark NJ\, 150 Bleeker St\, Newark\, New Jersey\, 07102\, United States
CATEGORIES:Annual Symposium
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DTSTART;TZID=UTC:20220425T113000
DTEND;TZID=UTC:20220425T133000
DTSTAMP:20260415T045342
CREATED:20220327T203850Z
LAST-MODIFIED:20220328T005717Z
UID:1245-1650886200-1650893400@njbda.org
SUMMARY:Grow Your Profits with Data from Digital Technology: A Seminar for Restaurant and Foodservice Professionals
DESCRIPTION:New Jersey Big Data Alliance Workshop Series \n\n\n\nIn collaboration with Montclair State University’s New Jersey Policy Think Tank for the Food Industry and Restaurants \n\n\n\n \n\n\n\n\n\nJoin our panel of technology and marketing experts\, restaurateurs and food service professionals to discuss digital technologies\, including payment tools\, customer reservation\, and social media marketing tools to create value and grow your profits! \n\n\n\nOutstanding Panelists!● Rutgers Food Innovation Center● Urvashi Ghosh – Software as a Service (SaaS) and strategist for food industry● Fred Klashman – Publisher of Total Food Service● Emily Apple – NJEDA Food Insecurity Program● Amy Russo – Toast City Diner\, Montclair● Lulu Safi and Sadat Safi – Maya Halal Taqueria\, Oakland\, Calif.● Raoul Momo – TerraMomo\, Princeton \n\n\n\nLearn more about the New Jersey Policy Think Tank at Montclair State University. \n\n\n\nDownload the event flyer (PDF). \n\n\n\nEvent Sponsored by the US Economic Development Administration \n\n\n\nThe New Jersey Big Data Alliance Advances Computing Innovation and Education in New Jersey
URL:https://njbda.org/event/grow-your-profits-with-data-from-digital-technology-a-seminar-for-restaurant-and-foodservice-professionals/
LOCATION:New Jersey
CATEGORIES:workshops
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BEGIN:VEVENT
DTSTART;TZID=UTC:20220408T123000
DTEND;TZID=UTC:20220408T143000
DTSTAMP:20260415T045342
CREATED:20220315T203432Z
LAST-MODIFIED:20220315T203524Z
UID:1234-1649421000-1649428200@njbda.org
SUMMARY:Intelligent Informatics @ Bloustein Workshop and Seminar Series
DESCRIPTION:Data Visualization with Python Jupyter Notebooks – A Hands-on Introduction \n\n\n\nREGISTER NOW \n\n\n\nThe session will consist of brief presentations\, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks\, and end with Q&A. Participants will learn to create data visualizations and can opt to either access Rutgers University’s high-performance computing (HPC) platform/cloud* or to run the code locally on their own computers. \n\n\n\nDr. Bala Desinghu\, Senior Scientist from OARC\, Rutgers University will provide an interactive introduction to data visualization with insights on the use of high-performance computing.Dr. Abhishek Tripathi\, Associate Professor\, School of Business\, TCNJ\, will introduce the use of Python libraries such as Seaborn\, Plotly and Cufflinks for creating advanced and interactive data visualizations.Dr. Jim Samuel\, Associate Professor\, Rutgers Bloustein School\, will conclude the session with insights on the use of Artificial Intelligence for visualizations and language data visualizations.\n\n\n\n*Note to participants: If you want to use Rutgers high-performance computing (HPC) platform you do not have an active computing account on the Amarel cluster\, please follow these instructions. \n\n\n\nRequest an account by filling out this form:   https://oarc.rutgers.edu/amarel-cluster-access-request/You will need to establish a VPN (Virtual Private Network) to access the Amarel cluster when connecting outside the campus network. You can find more information here https://soc.rutgers.edu/vpn/Registration deadline to establish Amaral HPC account is Thursday\, April 7\, 10 AM EST.\n\n\n\nThis workshop is hosted by the Rutgers Urban and Civic Informatics Lab (RUCI Lab) at the Bloustein School and the Rutgers Office of Advanced Research Computing and sponsored by the Bloustein School Master of Public Informatics program. It is organized by Dr. Bala Desinghu and Dr. Jim Samuel in collaboration with our partners\, the Eastern Regional Network (ERN)\, the Northeast Big Data Innovation Hub (NEBDI Hub)\, and the New Jersey Big Data Alliance (NJBDA). \n\n\n\n 
URL:https://njbda.org/event/intelligent-informatics-bloustein-workshop-and-seminar-series/
LOCATION:New Jersey
CATEGORIES:workshops
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220325T140000
DTEND;TZID=America/New_York:20220325T170000
DTSTAMP:20260415T045342
CREATED:20220208T144021Z
LAST-MODIFIED:20220327T230527Z
UID:1131-1648216800-1648227600@njbda.org
SUMMARY:Data Science Workshop: Deep Learning with Python
DESCRIPTION:Watch the recording by clicking on the image above\n\n\n\nDeep Learning (DL) outperforms Machine Learning (ML) in many of the applications related to the Computer Vision (CV) and Natural Language Processing (NLP). One of the biggest advantages of DL over ML is that they can automatically extract the important features from the data. With sufficient data and compute power\, DL methods\, in particular the supervised learning methods\, can achieve the prediction accuracies that were not seen before with any other statistical methods in applications related to CV and NLP. \n\n\n\nIn this workshop\, we will go through the basics of artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, and Recurrent Neural Networks (RNN)\, and do hands-on training with these DL models to build predictive analytics for image and text data. \n\n\n\nObjective of the workshop \n\n\n\nUnderstand the basics of Artificial Neural Networks (ANN)Prepare image and text data suitable for the neural networksLearn how to apply various DL models such as ANN\, CNN\, and RNNImprove the accuracy of the model with Hyperparameter Optimization\n\n\n\nWhat is needed? Laptop/Desktop with Internet connection \n\n\n\nDuration: 3 hours \n\n\n\nLevel: Intermediate \n\n\n\nProgramming Platform: On-line resource or Laptop. Instructions for on-line resources will be given in the workshop. \n\n\n\nPrerequisite: Basic laptop usage. Basic knowledge of Python is helpful for doing the hands-on session. \n\n\n\nSlides and materials: Will be provided in the workshop \n\n\n\nThis workshop is hosted by the Office of Advanced Research Computing (OARC)\, Rutgers University\, organized by Bala Desinghu in collaboration with the Eastern Regional Network (ERN) and the New Jersey Big Data Alliance (NJBDA). \n\n\n\nParticipants are encouraged to attend with campus partners representing a variety of stakeholders for campus research and research computing (e.g.\, researchers\, research computing professionals\, students\, staff\, faculty\, and practitioners\, etc.). \n\n\n\nFor additional information\, feel free to contact bala.desinghu@rutgers.edu\, forough.ghahramani@njedge.net\, or gavirapp@kean.edu.
URL:https://njbda.org/event/data-science-workshop-deep-learning-with-python-and-keras/
LOCATION:New Jersey
CATEGORIES:workshops
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