Future Scholars Big Data Workshop
In partnership with Library Services, RDI2 participated in the Rutgers Future Scholars program by delivering a Big Data Workshop on the 31st of July.
Highlights included an Introduction to Data Science seminar, Tour of ACI facility that supports the NSF Ocean Observatory Initiative (OOI), a 3-D printing workshop by the Industrial Engineering Department, and a tour of Rutgers University engineering facility, Weeks Hall, and a demonstration on “Big Data and Urban Flooding” in the Civil and Environmental Engineering lab.
Through the Future Scholars Program, 11th grade students visit Rutgers for an intensive writing course followed by a one-week internship experience designed to inspire students, boost confidence, and help them explore careers and majors. RDI2 is pleased to contribute to this important program, which provides academic and social support for students living in New Jersey’s most impoverished areas with the goal of increasing high school and college retention and graduation rates.
Caliburn: Advanced Cyberinfrastructure Report
Congratulations to the Students Awardees of the 2019-2020 RDI2 Fellowship for Excellence in Computation and Data Science
The Rutgers Discovery Informatics Institute is pleased to announce the 2019-2020 student awardees of RDI2 Fellowship for Excellence in Computation and Data Science:
- James Kelley – Computational and Integrative Biology, Advisor: Andrey, Grigoriev, PhD,Research: Accelerated analysis of variants in multiple cancer genomes
- Joseph Lubin – Chemistry & Chemical Biology/IQB, Advisor: Sagar Khare, PhD, Research: Computational data-driven methodology for rapid, rational design of proteolytic enzymes that are specific to target substrates, for example disease-associated proteins
- Aidan Zabolo –Physics & Astronomy, Advisor: Jedediah Pixley, PhD, Research: Simulating Quantum Circuits using Extreme Scale Computing
Each fellowship appointment will be for one year and comes with $30,000 towards GA support, with potential for renewal. RDI2 also recognizes the following existing RDI2 Fellow with the renewal support for $5000 for 2019-2020:
- Humna Awan - Physics&Astronomy, Advisor: Eric Gawiser, Research: Big Data in Astrophysics: Clustering Analysis of Partial Galaxies
Through this award, the Rutgers Discovery Informatics Institute supports students working on multi-disciplinary collaborative computational and data-enabled research projects in science and engineering, with a specific research focus on Big Data and Extreme Scale computing.
The 2019-2020 Fellows will be formally recognized during the Rutgers Discovery Informatics Institute Open House event on October 25, 2019.
Knowledge Discovery and Data Driven Decisions Workshop for Undergraduate Students
In collaboration with Rutgers Center for Critical Intelligence, RDI2 presented workshops “Knowledge Discovery and Data Driven Decisions” as part of the Rutgers IC CAE Certificate in Intelligence and National Security-Critical Technology Studies, June 2019.
This workshop provided students with an introduction to the skills and knowledge to apply data science and technology skills in a national security context. The program participants included undergraduate students from the Rutgers IC CAE Consortium (Rutgers University, Borough of Manhattan Community College, City College of New York, and the New Jersey City University).
Two workshops were delivered, one for STEM students and one for non-STEM students using the data sets from ADL HEAT (Hate, Extremism, Anti-Semitism, Terrorism).
Spring 2019 Newsletter | Rutgers Discovery Informatics Institute
RDI2 continues to drive computational and data-enabled research across a broad range of disciplines, providing leadership in Big Data and Advanced Cyberinfrastructure at the university, state, and national levels. We provide expertise, research partnerships, services, and access to resources to the broader New Jersey academic community, with the overarching goal of driving discovery and innovation.
RDI2’s activities span foundational and translational research, advanced cyberinfrastructure services, and education and outreach. Education and community outreach are central components of RDI2’s mission. Our education and training programs aim to foster the next generation of data science researchers and professionals through classroom teaching and laboratory training. This Spring 2019 newsletter highlights our education and outreach activities during the year. This includes welcoming the 2019-2020 student awardees of the RDI2 Fellowship for Excellence in Computation and Data Science, presenting the achievement of our students and staff, and summarizing our many events and activities.
The rest of the year promises to be exciting and eventful, as we at RDI2 continue to advance research, discovery and innovation, and transform society through computation and data. I hope you will join us in our journey.
Women in STEM: RU Sparks WiSTEM2D
On May 2nd, RDI2 participated in RU Sparks WiSTEM2D workshop for high school girls.
The workshop was a part of the Women in STEM program for middle school and high school students led by the Rutgers Institute for Women’s Leadership. The program included cross-disciplinary collaboration with Rutgers university departments and Johnson & Johnson corporation, who was the industry sponsor. Middle and high school students spent the day at Rutgers University with one goal in mind: to learn about educational opportunities and careers in STEM²D.
The objective of the program is to address under-representation of girls and women in STEM studies and careers by sparking excitement in schools and communities. In addition to exposing students to women in STEM leaders/innovators and STEM demos including VR/AR, Big Data Research (provided by RDI2), MedTech innovations, students work with a mentor to create a program in their communities for raising awareness to STEM fields.
Click on the following link for a short recap video of the event - https://youtu.be/ozj6qAMHKZE
RDI2 at Rutgers Day - Join Us
Rutgers Day is coming up this weekend, April 27, 2019. Join RDI2 in learning all about the wonders of Big Data and its real-life applications! Stop by our table to test your knowledge, enter a raffle, or play our bean bag toss game. All ages and disciplines are welcome.
RDI2 Featured in Science Node
We are in an era of Big Data and Extreme Computing! Computing and data have the potential for fundamentally transforming science and society, impacting every aspect of our lives and our environment. They are critical to understanding (and managing) natural, engineering, and human systems, from climate change to smart infrastructure, personalized healthcare, and social networks.
Consequently, it has become essential for an academic institution to have access to leading edge computing and data capabilities—and more importantly—the multidisciplinary research structures and expertise necessary to effectively leverage them to address grand challenges.
Our newest article in Science Node describes the conception of RDI2, and what we've been doing to accelerate discovery and drive innovation through advanced computing and data.
To read the full article, visit sciencenode.org/feature/RDI2.php
Call for Proposals - deadline extended to June 17, 2019
The Rutgers Discovery Informatics Institute (RDI2) invites applications for the allocation of computing resources on Caliburn. Caliburn, New Jersey's largest academic supercomputing facility, provides high-performance computing capabilities to academic researchers across the state to accelerate research programs that use or develop highly scalable computing applications.
The call for proposals for Caliburn allocations can be found here.
In addition to applications for awarded allocations, startup allocations are also welcome. Startup applications are provided as means to have full access with a limited time usage allocation; they can be converted into awarded allocations during the next call for proposal cycle. Applications from any academic/research institution in New Jersey are welcome.
The dates are provided below:
Proposals must be received no later than Monday, June 17, 2019
Notification of awards will be on June 26, 2019
Awarded allocations will run from July 1st - December 31st, 2019
For current awardees:
We would like to remind current awardees that current research awards will expire on June 30th, 2019. We request that if you are interested in renewing you allocation that you submit an updated proposal (you may use the one from the previous cycles with the new requested resources) with updated publications, presentations and grants awarded due to Caliburn-enabled research before the end of the six month allocation period.
Feel free to send us an email at firstname.lastname@example.org
RDI2 Distinguished Seminar: Magaret Martonosi, "What is the Role of Architecture and Software Researchers in Making Quantum Computing Practical?"
In the past 3-5 years, Quantum Computing (QC) has reached an interesting and important inflection point. For decades, quantum computing research was comprised of very abstract mathematical algorithms development “up high” that demonstrated some potential for future impact, and physics device demonstrations “down low” that were modest in size but that offered some hope for eventual implementations. However, with prominent QC algorithms like Shor’s factoring algorithm needing roughly a million times more physical quantum bits (qubits) than successful implementations currently provide, there has been a cavernous gap between algorithm and implementation. What is needed now are computer scientists to develop the crucial intermediate tool flows, abstraction layers, and programming languages that will help quantum computing scale through the current so-called NISQ (noisy, intermediate-scale quantum) era. Dr. Martonosi's talk will both (i) give details about our new approaches for optimal and near-optimal spatial-temporal placement of QC algorithms onto real systems, and (ii) more broadly advocate for the role that computer architecture, compiler and programming languages researchers must play in order for QC to reach its full potential.
Margaret Martonosi is the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University, where she has been on the faculty since 1994. She is also Director of Princeton University's Keller Center for Innovation in Engineering Education. Martonosi's research interests are in computer architecture and mobile computing. Her work has included the development of the Wattch power modeling tool and the Princeton ZebraNet mobile sensor network project for the design and real-world deployment of zebra tracking collars in Kenya. Her current research focuses on hardware-software interface approaches in both classical and quantum computing systems. Martonosi is a Fellow of both IEEE and ACM. Notable awards include the 2018 IEEE Technical Achievement Award, the 2010 Princeton University Graduate Mentoring Award, and the 2013 Anita Borg Institute Technical Leadership Award. Her research has earned four recent Test-of-Time Paper Awards: the 2015 ISCA Long-Term Influential Paper Award, 2017 ACM SIGMOBILE Test-of-Time Award, 2017 ACM SenSys Test-of-Time Paper award, and 2018 (Inaugural) HPCA Test-of-Time Paper award.
Friday, March 1, 2019
10:30 am—12:00 pm
Busch Campus Student Center, Center Hall
604 Bartholomew Road, Piscataway, NJ
Refreshments will be provided
Join RDI2 and Gustavo Portella for "Statistical and Utility-Based Analysis of Cloud Transient Pricing and Availability"
RDI2 welcomes you to attend a talk given by Gustavo Portella, "Statistical and Utility-Based Analysis of Cloud Transient Pricing and Availability." The goal of this talk is to present and discuss strategies to help cloud users to better hire IaaS spot instances, depending on costs constraints and application requirements.
Abstract: Public IaaS cloud computing has evolved with the emergence of dynamic pricing policies and transient resource allocation constraints. In this talk, I will present two analysis of Amazon EC2 Spot pricing model. The first one is a statistical analysis that uses a time-smoothed moving average considering 12-hour periods, aiming to provide price-availability tradeoff to the user. Our experiments with spot price history data, from September to November 2016, show that the user's bid can be set at 30% of the on-demand price, with an availability above of 90%, depending on instance type and purpose. The second one is a utility-based analysis that consists of a predefined strategy, so that user conflicting objectives related to the reduction of costs and the increase of resources availability are considered. Thus, the model provides bid/cost estimation values and expected availability rates of virtualized computing assets. The model also provides recommendations for the best moment to hire the service, i.e. now or a specific weekday.
Date: January 23, 2019 | 2 p.m.-3 p.m.
Location: CoRE Building room 631, Busch Campus - 96 Frelinghuysen Rd, Piscataway Township
RDI2 Associate Director Forough Ghahramani Presents at EdgeCon2019: "Transformative Tools for Advancing Collaborative Research in New Jersey"
Forough Ghahramani, Associate Director for the Rutgers Discovery Informatics Institute, presented “Transformative Tools for Advancing Collaborative Research in New Jersey” at NJEdge's EdgeCon2019 on January 11th.
NJEdge is a member-driven, non-profit technology consortium of academic and research institutions in New Jersey which aims to deliver and sustain a healthy, vibrant, and thriving technology ecosystem that is purpose-built for the communities it serves. The theme of this year's EdgeCon, NJEdge's annual conference, was Digital Transformation: From Strategy to Practice.
Dr. Ghahramani's session focused on digital transformation in New Jersey's research landscape. As high performance networking and computing capabilities have matured in New Jersey, coupled with availability of cutting edge computation technologies and the promise of big data, the landscape for collaborative and innovative research has changed for domain scientists, accelerating scientific discovery and allowing for highly productive collaborations among scientists throughout the region.
This session featured two recent additions to the portfolio of capabilities serving advanced research in New Jersey – Caliburn, the most powerful high performance computing system in the state, and the Virtual Data Collaboratory, an NSF funded initiative that is designed to drive data-intensive, interdisciplinary and collaborative research, and enable data-driven science and engineering discoveries.