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DTSTART;TZID=America/New_York:20230523T090000
DTEND;TZID=America/New_York:20230524T160000
DTSTAMP:20260415T163543
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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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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:20260415T163543
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
ATTACH;FMTTYPE=image/webp:https://njbda.org/wp-content/uploads/2022/09/seton-hall-cs_3.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T000000
DTEND;TZID=America/New_York:20220915T235959
DTSTAMP:20260415T163543
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
ATTACH;FMTTYPE=image/png:https://njbda.org/wp-content/uploads/2022/02/Screen-Shot-2022-08-08-at-10.03.19-AM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220807T235900
DTEND;TZID=America/New_York:20220807T235900
DTSTAMP:20260415T163543
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:20260415T163543
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220425T113000
DTEND;TZID=UTC:20220425T133000
DTSTAMP:20260415T163543
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220408T123000
DTEND;TZID=UTC:20220408T143000
DTSTAMP:20260415T163543
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220325T140000
DTEND;TZID=America/New_York:20220325T170000
DTSTAMP:20260415T163543
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220325T000000
DTEND;TZID=America/New_York:20220325T235959
DTSTAMP:20260415T163543
CREATED:20220119T195851Z
LAST-MODIFIED:20220204T164040Z
UID:1084-1648166400-1648252799@njbda.org
SUMMARY:2022 NJBDA Symposium call for abstracts
DESCRIPTION:The NJBDA Annual Symposium brings together academia\, government and industry from across the state and beyond\, to share information on the latest innovations\, research and future directions in Big Data. The concept for this year is: Education and Training of a Big Data Workforce: Building a Pipeline for a Data-Driven Economy. We invite faculty/researchers to submit abstracts of their research for presentation at the symposium. \n\n\n\nAbstracts should be a maximum of 650 words and submitted by March 25\, 2022. Indicate your name\, email\, department\, university affiliation\, title of presentation and track\, at the top of the abstract. This information does not count towards the 650-word limit. Notification of acceptance by April 15\, 2022.  \n\n\n\nSubmit Abstract to: https://easychair.org/conferences/?conf=9thannualnjbdasympos \n\n\n\nMore information: Call for Abstracts
URL:https://njbda.org/event/2022-njbda-symposium-abstract-submittal-deadline-march-25/
LOCATION:New Jersey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220311T140000
DTEND;TZID=America/New_York:20220311T170000
DTSTAMP:20260415T163543
CREATED:20220208T143910Z
LAST-MODIFIED:20220315T203001Z
UID:1129-1647007200-1647018000@njbda.org
SUMMARY:Data Science Workshop: Machine Learning with Python
DESCRIPTION:Watch the recording by clicking on the image above\n\n\n\nIn the last few years\, both industry and academia witnessed the rise of Machine Learning (ML) methods being applied in finance\, marketing\, retails\, science\, engineering\, healthcare\, and humanities. Learning how to apply ML methods to a domain specific application does not require a detailed knowledge about the inner machinery of these methods; however\, one needs to learn the best practices and recommendations followed by the community. \n\n\n\nIn this workshop\, after a brief overview on machine learning\, we will focus on doing the hands-on training in applying ML models on various data types including image\, text\, and time series. We will work through the use cases of classification and regression problems and discuss where to apply supervised or unsupervised methods. \n\n\n\nObjective of the workshop \n\n\n\nUnderstand supervised and unsupervised methodsChoose correct metrics and sampling methods for classification vs regression problemsFind out which features are important in a given datasetLearn to apply ML models such as Decision Trees\, Random Forest\, and Support Vector MachinesPerform clustering and dimensionality reductions (PCA\, t-SNE\, K-means\, etc.)Search the parameter space – 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-machine-learning-with-python-and-scikit-learn/
LOCATION:New Jersey
CATEGORIES:workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220218T140000
DTEND;TZID=America/New_York:20220218T170000
DTSTAMP:20260415T163543
CREATED:20220208T143724Z
LAST-MODIFIED:20220315T202710Z
UID:1127-1645192800-1645203600@njbda.org
SUMMARY:Data Science Workshop: Python for Big Data
DESCRIPTION:Watch the recording now by clicking on image above\n\n\n\n \n\n\n\nPython for Big Data Analytics\n\n\n\nIn recent years\, Python has become one of the top programming languages for doing data analysis due to its inherent advantages such as simplicity\, readability\, portability\, etc.\, However\, Python is slow compared to C or Fortran\, and it does not manage memory well. These limitations\, with speed and memory management\, may not be significant when analyzing small datasets\, but they become bottlenecks when analyzing big datasets. \n\n\n\nTo address the challenges associated with big data analytics\, the Python community developed and tested several techniques. In this workshop\, we will go through some of these techniques including vectorization\, parallelization\, just in time compilation\, and distributed task executions. We will do hands-on exercises to emphasize the following solutions. \n\n\n\nObjectives:\n\n\n\nHow to speed up the data analysis? \n\n\n\nWhat to do when the data set size exceeds the available physical memory? \n\n\n\nHow to distribute the workloads when doing machine learning for big data sets? \n\n\n\nWhat is needed? \n\n\n\nLaptop/Desktop with Internet connection \n\n\n\nDuration: \n\n\n\n3 hours \n\n\n\nProgramming Platform: \n\n\n\nOn-line resource or Laptop. Instructions for on-line resources will be given in the workshop. \n\n\n\nPrerequisite: \n\n\n\nBasic laptop usage. Basic knowledge of Python is helpful for doing the hands-on session. \n\n\n\nSlides and materials: \n\n\n\nWill be provided in the workshop \n\n\n\nRegistration: \n\n\n\nAfter registration\, the zoom link will appear on the registration page and as well as in your confirmation email. Register on Eventbrite now! \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-python-for-big-data/
LOCATION:New Jersey
CATEGORIES:workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220204T140000
DTEND;TZID=America/New_York:20220204T170000
DTSTAMP:20260415T163543
CREATED:20220201T200822Z
LAST-MODIFIED:20220315T202906Z
UID:1090-1643983200-1643994000@njbda.org
SUMMARY:Data Science Workshop Series: Introduction to Python
DESCRIPTION:Watch the recording now by clicking on the image above\n\n\n\nAre you interested in learning data science and modern computational tools for your research?  If so\, come join our Data Science Workshop Series on topics including Python Programming\, Machine Learning\, Distributed Machine Learning for Big Data\, and Deep Learning. \n\n\n\nThe workshop offers practical experience in learning Python\, especially for beginners. By the end of the workshop\, the participants will be able to write simple scripts\, understand Python modules\, and manage packages. \n\n\n\nThis is a virtual event\, and it is free. Register on Eventbrite: https://www.eventbrite.com/e/introduction-to-python-tickets-255576445027 \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-series-introduction-to-python/
LOCATION:New Jersey
CATEGORIES:workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211210T090000
DTEND;TZID=America/New_York:20211210T120000
DTSTAMP:20260415T163543
CREATED:20211111T142424Z
LAST-MODIFIED:20220328T010209Z
UID:992-1639126800-1639137600@njbda.org
SUMMARY:The New Jersey Big Data Alliance Research 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 research collaboration landscape. Please feel free to share with your communities! \n\n\n\nAgenda\nThe New Jersey Big Data Alliance Research Collaboration Forum  \n\n\n\nDecember 10\, 2021\, 9:00 AM – 12:00 PM ET – Virtual Event \n\n\n\nAgenda \n\n\n\n09:00 AM Welcome and Opening Remarks \n\n\n\nForough Ghahramani\, EdD\, Associate Vice President for Research\, Innovation\, and Sponsored Programs\, Edge\, and Vice President Research Collaborations Committee\, NJBDA \n\n\n\n09:10 AM Resources and Communities for Advancing Research Collaborations \n\n\n\nIEEE DataPort  \n\n\n\nMelissa Handa\, Program Director Technical Activities\, IEEE DataPort™\, Senior Program Manager\, IEEE \n\n\n\nThe Eastern Regional Network  \n\n\n\nBarr von Oehsen\, PhD\, ERN Steering Committee and  Vice President for the Office of Research and Advanced Computing\, Rutgers University \n\n\n\nResearch with New Jersey \n\n\n\nJudith Sheft\, Executive Director \n\n\n\nNJ Commission on Science\, Innovation\, and Technology \n\n\n\n10:00 AM Multi-institutional  Collaborations   \n\n\n\nNew Jersey Build Back Better Regional Challenge Projects NJEDA Perspective \n\n\n\nPallavi Madakasira\, Director\, Clean Energy\, New Jersey Economic Development Authority (NJEDA) \n\n\n\nGreater Newark Smart Port Regional Growth Cluster \n\n\n\nAtam Dahwan\, PhD\,  Senior Vice Provost for Research\, Distinguished Professor of Electrical and Computer Engineering\, New Jersey Institute of Technology  \n\n\n\nSmart Aviation Growth Cluster  \n\n\n\nCarole M. Mattessich\, Esq.\, Director\, Smart Airports & Aviation Partnership\, National Institute of Aerospace \n\n\n\nClean Energy Resource\, Training\, and Innovation (CERTI) Cluster \n\n\n\nTabbetha Dobbins\, PdD\, Interim VP for Research and Dean of the Graduate School\, Dept. of Physics & Astronomy\, Rowan University \n\n\n\nCommunications\, Data\,and Intelligent Technologies (CoDIT) Regional Growth Cluster \n\n\n\nVictor Lawrence\, PhD\, Distinguished Research Professor and the Director of the Center for Intelligent Networked Systems\, Stevens Institute of Technology \n\n\n\nBuilding Inclusive Entrepreneurial Ecosystems in American Opportunity Zones \n\n\n\nAnne-Marie Maman\, Executive Director\, Princeton Entrepreneurship Council \n\n\n\n11:15 AM National Science Foundation Cyberinfrastructure Funding Opportunities  \n\n\n\nRick McMullen\, PhD\, Research Advisors Group \n\n\n\n11:45 AM Closing Remarks \n\n\n\n () if you have not yet registered. \n\n\n\n\nDownload agenda: PDF \n\n\n\nForum Highlights: \n\n\n\nBig Data Research CollaborationsCommunities and Resources for Advancing CollaborationsFunding OpportunitiesEstablish Contacts with the New Jersey Big Data Research Community \n\n\n\nJoin us for this unique opportunity to connect to the Big Data Research Community! \n\n\n\nFor additional information contact: research@njedge.net  \n\n\n\nRegister for the NJBDA Research Forum on December 10\, 2021 here:  \n\n\n\nDownload flyer: PDF | Word
URL:https://njbda.org/event/the-new-jersey-big-data-alliance-research-forum/
LOCATION:New Jersey
CATEGORIES:forum/panel discussion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211209T183000
DTEND;TZID=America/New_York:20211209T193000
DTSTAMP:20260415T163543
CREATED:20210720T012050Z
LAST-MODIFIED:20211203T145923Z
UID:941-1639074600-1639078200@njbda.org
SUMMARY:Distinguished Lecture Series in Business Analytics\, Seton Hall University
DESCRIPTION:Jeffrey S. Noto\, M.S.\, SVP and CFO\, Global Network and Technology\, Verizon  \n\n\n\nAnalytics from the CFO’s PerspectiveThe presentation will discuss analytical applications focused on improving the financial outcomes in a corporate environment\, including how improved operational data leads to advancements in financial outcomes – business volume insights\, investment analytics\, profitability insights\, financial forecasting and overall improved financial results. \n\n\n\nREGISTER NOW
URL:https://njbda.org/event/distinguished-lecture-series-in-business-analytics-seton-hall-university-4/
LOCATION:Virtual
CATEGORIES:lectures/talks
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211209T130000
DTEND;TZID=America/New_York:20211209T170000
DTSTAMP:20260415T163543
CREATED:20211124T170618Z
LAST-MODIFIED:20220202T194709Z
UID:1002-1639054800-1639069200@njbda.org
SUMMARY:Enabling Protein Structure Prediction with AI
DESCRIPTION:Artificial Intelligence/Machine Learning (AI/ML) methods are being used for de novo protein structure prediction. In addition to expert lectures\, this crash course will provide hands-on training on AlphaFold2 and RosettaFold. These methods made a big impact in the field of protein prediction by solving a 50-year-old grant challenge. Please check the registration page (https://iqb.rutgers.edu/node/245)  for more details.
URL:https://njbda.org/event/enabling-protein-structure-prediction-with-ai/
LOCATION:New Jersey
CATEGORIES:lectures/talks,workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211112T120000
DTEND;TZID=America/New_York:20211112T130000
DTSTAMP:20260415T163543
CREATED:20211001T154242Z
LAST-MODIFIED:20220202T194826Z
UID:977-1636718400-1636722000@njbda.org
SUMMARY:Analytics\, Data Science & Artificial Intelligence Workshop & Seminar Series @ Rutgers University: Intelligent Informatics @ Bloustein
DESCRIPTION:Analytics\, Data Science & Artificial Intelligence Workshop & Seminar Series @ Rutgers University: Intelligent Informatics @ Bloustein    \n\n\n\n11/12/2021: Public Informatics for a Better Future: Textual Analytics with R and Social Media Data by Dr. Jim Samuel\, Executive Director- Informatics\, EJ Bloustein School of Planning & Public Policy\, Rutgers\, The State University of New Jersey.   \n\n\n\nOpen/ free\, registration link:    https://rutgers.zoom.us/webinar/register/WN_9mvOSO4uRgyiwWvZ2nd0bg
URL:https://njbda.org/event/public-informatics-for-a-better-future-textual-analytics-with-r-and-social-media-data/
LOCATION:New Jersey
CATEGORIES:workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211111T183000
DTEND;TZID=America/New_York:20211111T193000
DTSTAMP:20260415T163543
CREATED:20210720T011856Z
LAST-MODIFIED:20210720T011903Z
UID:939-1636655400-1636659000@njbda.org
SUMMARY:Distinguished Lecture Series in Business Analytics\, Seton Hall University
DESCRIPTION:Kimya Lee\, Ph.D.\, Executive Director\, Strategic Workforce Planning & Analysis\, Office of the Chief Human Capital Officer\, U.S. Department of Homeland Security \n\n\n\nThe People Part of Analytics (or When Data Isn’t Enough)Exploring the intersections among data\, analytics\, personnel & HR policy. What to do when your data model isn’t enough. The discussion will focus on the complexities of data analytics\, how it affects policymaking\, and the importance of storytelling with data. \n\n\n\nREGISTER NOW
URL:https://njbda.org/event/distinguished-lecture-series-in-business-analytics-seton-hall-university-3/
LOCATION:Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211021T183000
DTEND;TZID=America/New_York:20211021T193000
DTSTAMP:20260415T163543
CREATED:20210720T011626Z
LAST-MODIFIED:20210720T011631Z
UID:937-1634841000-1634844600@njbda.org
SUMMARY:Distinguished Lecture Series in Business Analytics\, Seton Hall University
DESCRIPTION:Patrick McCreesh\, Ph.D.\, Managing Partner\, Simatree \n\n\n\nWhen People Feel Stuck: How to Get People to Use Your Analytical ToolsMany people struggle to adopt new analytical tools compared to using the experience-based approach they have always used.  This session will explain why people get Stuck on their old ways and how we can help them change their ways to use new tools and techniques.  When we get people to include data-driven tools in their decision-making process\, everybody wins! \n\n\n\nREGISTER NOW
URL:https://njbda.org/event/distinguished-lecture-series-in-business-analytics-seton-hall-university-2/
LOCATION:Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211015T090000
DTEND;TZID=America/New_York:20211015T150000
DTSTAMP:20260415T163543
CREATED:20211007T113507Z
LAST-MODIFIED:20211007T113751Z
UID:985-1634288400-1634310000@njbda.org
SUMMARY:NJ Cybersecurity Conference 2021: Connect-Collaborate-Careers
DESCRIPTION:For every college student who dreams of a career in cybersecurity and connecting with cybersecurity business leaders\, Seton Hall University is proud to announce the 2021 New Jersey Cybersecurity Conference. The second annual New Jersey Cybersecurityconference will connect students and university faculty and administrators with cybersecurity business leaders. Registration is now open for the free virtual conference\, scheduled for October 15\, from 9 a.m. to 3 p.m. ET. \n\n\n\nCelebrating National Cybersecurity Awareness Month\, the event is sponsored by Seton Hall University\, PSEG and the New Jersey Economic Development Authority (NJEDA)\, in partnership with UPITCHNJ\, a statewide collegiate entrepreneurship organization and Edge\, the region’s nonprofit technology partner. \n\n\n\nThis conference is designed to raise awareness of cybersecurity career opportunities for higher education students and new college graduates\, conveying the appeal of cybersecurity careers among students and business leaders of university cybersecurity programs and potential candidates for these positions. Open to New Jersey’s higher education communities and cybersecurity industries\, the conference is free\, but registration is required. \n\n\n\nConference highlights include a keynote address by Gurdeep Kaur\, Chief Information Security Officer\, PSEG as well as welcome remarks from Brian Bridges\, Ph.D.\, Education Secretary\, NJ Department of Higher Education\, and Katia Passerini\, Seton Hall University Provost. \n\n\n\nGurdeep Kaur\, PSEG Chief Information Security Officer and keynote speaker\, noted that the conference provides a forum to raise student awareness about the array of well-paying entry-level cybersecurity jobs\, which are interesting\, challenging and vitally important to our national security. “Cybersecurity is a profession with purpose\, impact and coolness factor\, and money as well\,” she said. \n\n\n\nWorkshops and Topics \n\n\n\nAttendees can virtually register and participate in four workshops featuring more than 20 cybersecurity experts from industry\, government\, and academia\, including: \n\n\n\nTraining the Next Generation of Cybersecurity ResearchersThe Cybersecurity Job Market: Cybersecurity Employers Speak About the Array of Jobs Available and the Qualities They Seek in New HiresKeeping New Jersey Safe from Cybersecurity ThreatsDiversity Employment in Cybersecurity: Opportunities for Women and MinoritiesRead more about the agenda.\n\n\n\nNew this year\, the conference will include three afternoon workshops that will teach students widely used skills and technology for various background levels (introductory Python coding\, application of Splunk software suite\, computational privacy). \n\n\n\nConference Speakers and Cybersecurity Experts \n\n\n\nSeton Hall UniversityPSEGNew Jersey Economic Development AuthorityFederal Bureau of InvestigationState of New JerseyNew Jersey State PoliceCybereasonLeapYear TechnologiesNew Jersey Institute of TechnologyStevens Institute of TechnologyRutgers UniversitySHI International CorpOld Mutual InsuranceiQ4Take-Two Interactive\n\n\n\nQ&A Session \n\n\n\nA key feature of the program is a question and answer networking session\, “Day in a Life\, What’s it like to work in cybersecurity?” from 12:30 to 1:20 p.m.\, providing actual guidance to students and recent graduates who want to enter this field. They will be able to question their peers who now work in cybersecurity about their positions\, their companies\, and how they got their start in cybersecurity. \n\n\n\nJoin the conversation: #njcybersecurity2021
URL:https://njbda.org/event/nj-cybersecurity-conference-2021-connect-collaborate-careers/
LOCATION:New Jersey
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END:VCALENDAR