2022 NJBDA Symposium
2022-05-09 00:00 - 23:59 (America/New_York) | Campus Center, New Jersey Institute of Technology, Newark NJ, 150 Bleeker St, Newark, New Jersey, 07102, United States
Tickets are now available for the 9th Annual New Jersey Big Data Alliance Symposium, hosted by the New Jersey Institute of Technology.

The 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.

Our 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.

For questions, please contact David Bader. For sponsorship and exhibitor inquiries, please contact Selenny Fabre at info.datascience@njit.edu.

View the agenda and speaker bios at the 2022 Symposium page.

BUY TICKETS NOW

Deadline for NJBDA Externship applications
2022-08-07 23:59 | New Jersey
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.

Journal of Big Data Theory and Practice (JBDTP) Call for Manuscripts
2022-09-15 00:00 - 23:59 | New Jersey
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.

Authors are invited to submit novel, high quality work that has neither appeared in, nor is under consideration for publication elsewhere.

Areas of interest include the following (but not restricted to):

• 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

Submission Guidelines

Manuscripts (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.

Important Dates

Manuscript submission is on a rolling basis, and will remain open perpetually. The submission window for the next issue will close on March 15, 2022.

More information on the JBDTP site.

2022 New Jersey Cybersecurity Virtual Conference: Connect-Collaborate-Careers
2022-10-14 09:00 - 15:00 | Online
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.

Open 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.

The 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.

Celebrating National Cybersecurity Awareness Month, the event is sponsored by Seton Hall University and PSEG.

Susan 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.”

Conference 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.

Delivering 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).

Event 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.”

Through 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.

Panel 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.

Click here for more information and to register. And be sure to join the conversation: #NJCyberSecurity2022

Open Data for Society: Accelerating Solutions for Society’s Most Pressing Challenges
2022-10-19 19:00 - 20:30 | New Jersey
WATCH RECORDING

REGISTER

Intelligent Informatics @ Bloustein Workshop and Seminar Series

The 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).

This virtual workshop will consist of presentations followed by a hands-on demo, and end with Q&A.

We welcome our distinguished speakers Anthony Cintron Roman and Lucas A Meyer from the AI for Good Lab @ Microsoft!

Anthony 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.

Lucas 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.

Prof. 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.

10192022-IntelligentInformaticsEJBDownload

Intelligent Informatics @ Bloustein Workshop and Seminar Series - Nov 11 (Zoom/in-person)
2022-11-11 11:00 - 12:15 | Bloustein School – Room 112, 33 Livingston Avenue, New Brunswick, New Jersey, United States
Knowledge Graphs in Natural Language Processing: Overcome Domain Adaptation Challenges in Language Models

The 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.

Event presented by Vivek Kumar, Marie Sklodowska-Curie Scholar, University of Cagliari, Italy

Vivek 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;

PISG 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.

REGISTRATION REQUIRED

ZOOM: https://rutgers.zoom.us/webinar/register/WN_HUlNtxeWT4-V3lKbid4ODw

In 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

Download PDF flyer

In-Person November Technology & Innovation Collaborative Meeting (AM)
2022-11-16 09:30 - 13:00 | County College of Morris, 675 New Jersey 10, Randolph, New Jersey, 07869
Participate in the Center of Workforce Innovation for Data Science Report Out and Pathways Overviews

Please join us for the In-Person November NJ Pathways to Career Opportunities Technology & Innovation Collaborative Meeting.

Participate 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.

Meeting Details:

Wednesday, November 16, 2022 | 10 AM to 1 PM

Registration and Coffee Service begins at 9:30 AM

County College of Morris | Meeting Room TBD (214 Center Grove Rd. Randolph, NJ 07869)

Networking Lunch from 12 PM to 1 PM

Seating is limited so please register as soon as possible to reserve your spot.

New 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.

Call for Submissions for Special Issue of JBDTP
2022-12-01 00:00 - 23:59 | New Jersey
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.

Important DatesSubmissions Deadline: December 1, 2022Revision Due: March 1, 2023First Reviews Due: February 15, 2023Second Reviews Due: March 15, 2023

Please visit the JBDTP website for additional information about submissions.

42nd Annual Coriell Science Fair
2023-03-18 09:00 - 17:00 | New Jersey
From Coriell Institute for Medical Research:

2023 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.

NJBDA Smart Ports Workshop
2023-04-04 13:30 - 16:30 | New Jersey
NJBDA Smart Ports Workshop

with the support from the US Economic Development Administration

Join 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.

Hosted by:

New Jersey Institute of Technology Institute for Data Science

Moderated by: David Bader, Director, Institute for Data Science, NJIT

An 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

Confirmed Speakers:

Beth RooneyPort Director at The Port Authority of New York and New Jersey

Dennis MontsChief Operations Officer for Advent eModal

Anne Strauss-WiederDirector, Freight Planning, at North Jersey Transportation Planning Authority

Date: Tuesday, April 4th, 2023

Time: 1:30 PM – 4:30 PM ET

To Register: https://www.eventbrite.com/e/njbdaus-eda-smart-ports-workshop-tickets-565287709757

Workshop 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!

Download PDF flyer

Collaboration for Articulation Agreements
2023-04-18 10:00 - 13:00 | Middlesex College, Crabiel Hall, Brunswick Room, 2600 Woodbridge Avenue, Edison, New Jersey, 08818-3050, United States
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.

Learn 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.

Please register as soon as possible to reserve your seat.

Meeting Details:

Date: Tuesday, April 18, 2023

Time: 10:00 AM to 1:00 PM (lunch served)

Location: Middlesex College | Crabiel Hall, Brunswick Room

Seating is limited so please register as soon as possible to reserve your spot.

Registration begins at 9:30 AM. Networking lunch served at 12 PM.

Download flyer (PDF)

POSTPONED TO FALL 2023: GSODI Forum on Open Data and Artificial Intelligence
2023-04-21 11:00 - 13:30 | Gov. James J. Florio Special Events Forum, 33 Livingston Avenue, New Brunswick, New Jersey, 08901, United States
EVENT RESCHEDULED FOR FALL 2023

A discussion of the value creation potential of aligning open data with AI, especially generative AIs like ChatGPT and Bloom, with reflections on public policy

This 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).

The Open Data – AI panel includes eminent experts as guest speakers:

Poonam Soans, Chief Data Officer & Director of Application Development, State of New Jersey;

Rakesh (Teddy) Kumar, PhD., Vice President, ICS, Center for Vision Technology, SRI International,

Clint Andrews, PhD, Professor & Associate Dean, Bloustein School, Rutgers University, and

Rachel Rosenthal, Bloomberg, editorial board member

The discussion will be moderated by professor Jim Samuel, Executive Director, Bloustein School Informatics Program.

Registration required.

11:00 AM – Coffee and welcome

11:30 AM – 12:30 PM – Open Data Forum, panel of experts’ presentation and discussion

12:30 PM – 1:30 PM – Round-table lunch with guest speakers, students and faculty

Download flyer (PDF)

Advanced Manufacturing Efficiencies Through Technology
2023-04-28 10:00 - 11:30 | New Jersey
Outstanding speakers!

D﻿onald Coakley, Principal, Plant Automation Group

F﻿rank Catalana, Vice President of Operations, Cumberland Dairy

Nolan Lewin, Executive Director, The Food Innovation Center, Rutgers University (moderator)

Via Zoom.

Download flyer (PDF)

Event Sponsored by the US Economic Development Administration

Big Data for Small Business: Leveraging Data for Business Growth
2023-05-03 09:00 - 13:00 | Rider University, Lynch Adler Hall 202, 2083 Lawrenceville Road, Lawrenceville, New Jersey, 08648, United States
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.

S﻿essions include:

C﻿hallenges 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

Role 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

Panel moderators: Emre Yetgin, Director, Center for Business Analytics; Forough Ghahramani, Assistant VP, Research, Innovation & Sponsored Programs, Edge; Linda Lindner, Managing Editor, ROI-NJ.

Lunch and networking session to follow.

Download flyer (PDF)

2023 NJBDA Annual Symposium
2023-05-09 08:00 - 17:00 | Seton Hall University
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.

The 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.

Cyberinfrastructure for Research Data Management Workshop
2023-05-23 09:00 - 2023-05-24 16:00 | New Jersey
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.

The 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.

The content is intended for anyone supporting infrastructure and/or developing applications for research and education, and will be particularly useful to the following groups:

NSF Campus Cyberinfrastructure awardees (and those preparing for the next CC* solicitation)

Research computing administrators and technical staff

Campus enterprise storage infrastructure managers

Core facility (NGS, cryoEM, fMRI, etc.) IT staff

Outcomes: 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.

Event Details:

Day 1: May 23, 9 a.m. to 4 p.m.

Day 2: May 24, 9 a.m. to 4 p.m.

Cost: $49.00/person

Speakers and Full Agenda: Draft agenda and speaker list is now available online.

Please contact Forough Ghahramani at research@njedge.net if you need additional information.

NJBDA Annual In-Person Meeting
2023-09-22 09:00 - 14:30 | Princeton Innovation Center Biolabs, 303A College Road East, Princeton, New Jersey

NJIT Data Science Summit
2023-11-06 13:30 - 17:00 | NJIT@Jersey City, 101 Hudson St, Suite 3610, Jersey City, New Jersey, United States
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.

Speakers:

Xiaojing Wang, Distinguished Engineer, ADP

Usman Roshan, Associate Professor, NJIT

Mengjia Xu, Assistant Professor, NJIT

Erez Agmoni, Global Head of Innovation (Logistics & Services), Maersk

Megnan Du, Assistant Professor, NJIT

Sherry Marcus, Director, Titan Labs AWS

Rutgers Informatics Forum: Open Data & Artificial Intelligence
2023-11-17 12:00 - 13:00 | Zoom
Rutgers Informatics Forum: Open Data & Artificial Intelligence

The Open Data – AI panel:

Poonam Soans, CDO & Director of App Development, State of New Jersey

Rakesh Kumar, PhD, Vice President, ICS, CVT, SRI International

Clint Andrews, PhD, Professor, Bloustein, Rutgers University

Rachel Rosenthal, Bloomberg, Editorial board member

Jim Samuel, PhD, Bloustein, Rutgers University (moderator)

Part of the Intelligent Informatics @ Bloustein webinar series

NJIT Data Science Seminar Series
2024-02-06 14:30 - 15:30 | Guttenberg Information Technologies Center (GITC), 218 Central Ave, Newark, New Jersey, 07102, United States
Data Science Seminar Series in collaboration with the Department of Data Science

“Structure-Enhanced Text Mining for Understanding and Augmenting Scientific Discovery”

Yu Zhang University of Illinois Urbana-Champaign

Location: Guttenberg Information Technologies Center (GITC) Building, Room 4402 (4th floor lecture hall) (Coffee served at 2:15 PM)

Zoom Meeting Link

Hosted by Shuai Zhang

Language 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.

Yu 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.

Performance Engineering for Scalable AI
2024-02-12 11:00 - 11:50 | Gateway Academic Center, 6th Street Lot, 601 Hudson St, Hoboken, New Jersey, 07030, United States
Speaker: Xuhao Chen, Research Scientist, MIT CSAIL

Hosted by Stevens Institute of Technology

Location: Gateway North 303 (with virtual option)

ABSTRACT

Due 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.

In 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.

BIOGRAPHY

Xuhao 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.

Zoom link: https://stevens.zoom.us/j/91365277622

NJBDA Research Collaboration Forum
2024-02-16 09:30 - 13:30 | Saint Peter’s University – Jersey City Campus, 2641 John F. Kennedy Blvd, Dinneen Hall, 1st Floor, McIntyre Room, Jersey City, NJ, 07306, United States
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!

Our keynote speaker is Dr. Stephen K. Burley, Director of the RCSB Protein Data Bank.

Forum highlights:

Big Data and AI Research Collaborations

Communities and Resources for Advancing Collaborations

Funding Opportunities

Establish Contacts with the New Jersey Big Data & AI Research Community

For additional information, contact research@njedge.net.

Agenda

PDF version

9:30 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

Parking

Parking is available at Armory Lot located at 686 Montgomery Street.

Assistance with directions or have any questions about parking, please contact one of our Team members:

Supreeth Dandu: +1 571 456 9919Rohith Sanku: +1 551 344 8839

Please share this PDF flyer with your networks!

Meeting the Moment: BIPOC Tech Leader Voices
2024-02-22 17:30 - 21:00 | Seton Hall University, Bethany Hall, Room A, South Orange, New Jersey, ]07079, United States
“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.

Featured Speakers

Jerrel Peterson, Director, at Spotify

Samuel Bradley, Ph.D., M.S.W., Professor, Macro Social Work, Equity, Justice, and Inclusion

Magdala Chery, D.O., M.B.S., M.P.H., Physician and Health Equity Advocate

Nnemoma Chuwumerije, M.S.W., Community Enablement Manager, Lotic Ai

Program Highlights

TechTalks: Enlightening talks by our speakers, detailing their tech journey and insights.

TechTable: A conversation on reimagining tech innovation at the crossroads of social work.

Panel Discussion & Q&A: An interactive session with our speakers, offering direct engagement and insights.

Networking 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.

This event is organized by the Master of Social Work and Master of Public Administration programs and sponsored by the College of Arts and Sciences.

Don’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.

We look forward to seeing you there for an evening of insightful discussions and enriching connections.

Amy Zhang – Sociotechnical Designs for Democratic and Pluralistic Governance of Social Media and AI
2024-03-05 12:30 - 13:30 | Zoom
In-person attendance is open to Princeton University faculty, staff, students and alumni. This talk is open to the public via Zoom.

Decisions 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.

Bio:

Amy 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.

Her 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.

This talk will be recorded and posted to the CITP website, YouTube channel and to Media Central.

If you need an accommodation for a disability please contact Jean Butcher at butcher@princeton.edu at least one week before the event.

AI - Use, Abuse & an Exciting Future!
2024-03-20 18:00 - 18:30 | Zoom
Rutgers Bloustein School MPI program will be hosting an interesting webinar on AI – Use, Abuse & an Exciting Future!

Join 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.

Special thanks to Pawel M., AI Social Impact Lab for leading this initiative!

Learn more about the event.

MPI Program info: https://informatics.rutgers.edu/

Generative AI Reverse Pitch
2024-03-27 16:00 - 18:00 | NJIT Institute for Data Science, 101 Hudson Street, Suite 3610, Jersey City, NJ, 07302, United States
NJBDA / Startupgrind Reverse Pitch Event

Please 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.

Startup 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.

Imagine 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.

2024 NJBDA Annual Symposium
2024-05-17 08:30 - 15:30 | Douglass Student Center, Rutgers University, 100 George St, New Brunswick, New Jersey, 08901, United States
Artificial Intelligence Impacts on Society & Higher Education

The 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.

The 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.

The 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.

The NJBDA is accepting research presentation abstracts until March 22, 2024. Learn more and submit an abstract.

Symposium agenda will be posted shortly at the 2024 Symposium page.

Register now

AI Teaching & Learning Symposium
2024-06-11 08:00 - 17:00 | Seton Hall University
Join Edge and Seton Hall University for the inaugural “AI Teaching & Learning Symposium”. The symposium will consider the impact of AI on teaching, learning, and the student experience. Located in the quaint town of South Orange, New Jersey, the 58-acre main campus is only 14 miles from Manhattan.

Controlling the Chaos: Best Practices for Managing & Protecting Research Data
2024-06-25 10:00 - 11:00 | Zoom
Research data in Higher Ed institutions is unique and valuable and must be managed and shared appropriately. NIH requires researchers to outline how they will manage and share their data. Research data can be highly sensitive, and developing appropriate data protection plans is crucial to a successful program. This session will teach you how to implement good data management practices, including how to prioritize and safe keep the most important data sets. You will also learn how to shift from manual processes to automatically identify the classification, age, and usefulness of your data, and how to recover faster from any type of breach.

NJBDA-Commvault-Event-2Download

Winning Strategies: Mastering Hackathons and Data Science Competitions
2024-10-04 09:30 - 13:00 | Rowan University – Business Hall, 201 Mullica Hill Rd, Glassboro, New Jersey, 08028, United States
Jumpstart your hackathon success with our intensive half-day workshop! Designed for aspiring innovators, this session equips you with essential strategies and skills to excel in hackathons. Sponsored by the New Jersey Big Data Alliance.

What You’ll Gain:

Hackathon Basics: Learn what it takes to compete and succeed.

Teamwork & Planning: Discover how to select a winning idea and execute it efficiently.

Tech & Design Insights: Get quick tutorials on popular hackathon tools and design principles.

Pitch Perfect: Enhance your presentation skills to impress judges.

Workshop Highlights:

Expert-led interactive lectures and hands-on challenges.

Insightful panel discussions with past winners.

A toolkit of resources for continued learning and preparation.

Who Should Attend: Undergraduate students of all disciplines looking to boost their hackathon performance and network with like-minded peers.

Reserve Your Spot: Transform Your Innovative Ideas into Winning Projects!

Check out the agenda:

Agenda for Hackathon Success Workshop (3)Download
