News and Events

ICS Events

ICS hosts a wide range of events, from training sessions on using our high-performance computing system to seminars about the latest topics in computational research. Here, you will find a list of upcoming ICS events, as well as other events that may be of interest to the cyberscience community. Sign up for our Events Digest to receive alerts about our events.

Want to learn what ICS researchers are working on? Check out our CyberScience Seminar series.

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ICS-ACI Training Series

Date: Wednesday, January 16–Monday, April 22

The ICS-ACI Training Series is designed to help users become acclimated to ICS-ACI while also teaching a few fundamental HPC skills. Registration is required. Sessions will be offered:   Seminar 1 – ICS-ACI System Basics

  • Wednesday, January 16, 2019, 1 p.m. – 2:30 p.m., 252 Erickson Food Science Building
  • Wednesday, February 6, 2019, 10 a.m. – 11:30 a.m., W306A Millenium Science Complex
  • Tuesday, March 19, 2019, 10 a.m. – 11:30 a.m., W203 Millenium Science Complex
Seminar 2 – Submitting your First Job
  • Wednesday, January 23, 2019, 1 p.m. – 2:30 p.m., Foster Auditorium
  • Monday, February 18, 2019, 1 p.m. – 2:30 p.m., 252 Erickson Food Science Building
  • Thursday, March 21, 2019, 3 p.m. – 4:30 p.m., 268 Willard Building
Seminar 3 – Intro to HPC Programming
  • Monday, March 11, 2019, 1 p.m. – 2:30 p.m., 252 Erickson Food Science Building
  • Wednesday, March 27, 2019, 10 a.m. – 11:30 a.m., W203 Millenium Science Complex
Seminar 4 – Intermediate HPC
  • Thursday, March 14, 2019, 1 p.m. – 2:30 p.m., 202 Ford Building
  • Tuesday, April 2, 2019, 3 p.m. – 4:30 p.m., 252 Erickson Food Science Building

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ICS Symposium 2019

Date: Monday, April 1

Time: 8:00 a.m.–5:00 p.m.

Location: Nittany Lion Inn

With advances in computational science, researchers are finding new solutions to major societal problems. This one-day conference, hosted by the Institute for CyberScience at Penn State, will focus on innovative computational research across a diverse set of disciplines. Come hear nationally renowned speakers and be part of the discussion. Faculty, students, industry, and representatives of funding agencies are welcome to attend. The symposium aims to connect researchers to potential industry partners, funding agencies, and collaborators. Registration for the ICS Symposium has closed.  Please contact Suzy Unger at sgm128@psu.edu if you have any questions about the ICS Symposium.

Agenda

7:30–8:15: Registration and Light Breakfast 8:15–9:00: Introductory Remarks 9:00–10:00: Keynote Presentation, "Towards a New Discipline of Data Science," by Dr. Michael Franklin, Liew Family Chair of Computer Science and Sr. Advisor to the Provost for Computation and Data Science, University of Chicago 10:15–11:45: Panel Discussions (Choose One):
  • Science Applications of Big Data & Machine Learning
  • Immersive Technology
  • Law, Policy, and Research in AI Research, Use, and Application
11:45–1:00: Lunch Buffet 1:00–2:30: Poster Session 2:30–4:00: Panel Discussions (Choose One):
  • Computational Materials Design & Machine Learning
  • Security, Fairness, and Privacy of Machine Learning
  • Social Good
4:00–5:00: Reception

Keynote Presentation

"Towards a New Discipline of Data Science"

The emergence of data science has led to a flourishing of initiatives, centers, degrees, programs, and organizational units at educational and research institutions around the world.  The demand for data science know-how from students, parents, scientists, and employers is strong and getting stronger.  However, the interdisciplinary nature of the topic and the lack of a consensus around its definition raise challenges for its implementation in the modern university setting. Many ongoing efforts treat data science as simply a combination of topics from existing fields.  While such an approach has obvious practical advantages, I believe that the challenges raised by data science imply that it should be more productively pursued as a new discipline in its own right. In this talk I will try to frame this larger question with a goal of initiating a discussion to identify the intellectual opportunities and research questions that could lie at the heart of a new discipline of data science. MICHAEL J. FRANKLIN is the Liew Family Chairman of Computer Science and Sr. Advisor to the Provost for Computation and Data Science at the University of Chicago where his research focuses on database systems, data analytics, human-in-the-loop computing, and distributed computing systems.  He previously was on the faculty at UC Berkeley for 17 years, where he was Chair of the CS Division and a founding Principal Investigator of the West Big Data Innovation Hub and the PI of an NSF CISE Expeditions Award focused on Big Data analytics.  This latter project developed a suite of well-known open source big data systems including Apache Spark, SparkSQL, GraphX, MLBase and KeystoneML.  Franklin is an ACM Fellow, two-time winner of the ACM SIGMOD Test of Time Award and was chosen as an “outstanding advisor” by the Berkeley CS Graduate Student Association. He currently serves as a Board Member of the Computing Research Association and on the NSF CISE Advisory Committee.

Panel Sessions

Security, Fairness, and Privacy of Machine Learning, coordinated by Patrick McDaniel Panel Chair: Patrick McDaniel, Penn State Panel Members: David Evans, Professor of Computer Science, University of Virginia Srikanth Krishnamurthy, Professor of Computer Science and Engineering, University of California, Riverside Zhiyun Qian, Associate Professor of Computer Science and Engineering, University of California, Riverside Science Applications of Big Data & Machine Learning, coordinated by Eric Ford Panel Chair: TBD Panel Members: Mario Juic, Associate Professor & Senior Data Science Fellow, University of Washington Derek Fox, Associate Professor, Penn State Daniel Kifer, Associate Professor of Computer Science and Engineering, Penn State Chaopeng Shen, Assistant Professor of Civil and Environmental Engineering, Penn State Christelle Wauthier, Assistant Professor of Geosciences, Penn State Law and Policy in AI Research, Use, and Application, coordinated by Anne Toomey McKenna Panel Chair: Anne Toomey McKenna Panel Members: Casey Unwin, Attorney, CIPP/US, Office of General Counsel, Central Intelligence Agency Claire T. Gartland, Facebook Privacy & Public Policy Manager Piyush Pandey, Deloitte & Touche LLP, Managing Director, Advisory Services Samantha Weirman, Ph.D. Candidate, Information Sciences and Technology, Penn State Immersive Technology, coordinated by Ping Li Panel Chair: Ping Li, Penn State University Panel Members: Alex Klippel, Professor of Geography, Penn State Conrad Tucker, Associate Professor in Engineering Design and Industrial and Manufacturing Engineering, Penn State Brad Wyble, Associate Professor of Psychology, Penn State Timothy Brick, Assistant Professor of Human Development and Family Studies, Penn State Computational Materials Design & Machine Learning, coordinated by Susan Sinnott Panel Chair: John Mauro, Penn State Panel Members: Ismaila Dabo, Assistant Professor of Materials Science and Engineering, Penn State Elizabeth Holm, Professor of Materials Science and Engineering, Carnegie Mellon Adama Tandia, Corning Krishna Rajan, Empire Innovation Professor, University of Buffalo Social Good, coordinated by Vasant Honavar Panel Chair: Vasant Honavar Panel Members: Vijay Narayanan, A. Robert Noll Chair and Distinguished Professor of Electrical Engineering and Computer Science, Penn State Orfeu Buxton, Professor of Biobehavioral Health, Penn State Nicholas Mattei, Assistant Professor of Computer Science, Tulane University Amulya Yadav, Assistant Professor of Information Science and Technology, Penn State

Poster Session

ICS is excited to help showcase posters that focus on different aspects of data- or simulation-enabled research. All accepted posters received prior to March 13 will be printed free of charge on fabric, and students can keep their poster at the end of the event. Awards Two students will receive prizes of $750 in travel funds to a top-tier conference of choice where the students will present their work. Eligibility The poster session is open to students or faculty. If a faculty member wins, he or she can elect a student to receive the award. Format
  • Posters: must be 48" x 36" (either orientation) and be uploaded as a PDF file.
  • Abstracts: must use this format and be uploaded as a PDF file.
Please name your files according to this convention: Last name-Poster Title-[Abstract or Poster], e.g., Wang-Using Machine Learning to Identify Software Vulnerabilities-Abstract.pdf Deadline Monday, March 11 If you have any questions, please contact Suzy Unger at sgm128@psu.edu.

Cost

  • Free for Penn State faculty, staff, and students who register and attend
    • Budget information will be collected for Faculty and Staff. Charges will only occur if the registrant does not show up or cancel their registration.
  • $75 for all other attendees

Location and Lodging

The Nittany Lion Inn 200 W Park Ave State College, PA 16803 The State College/University Park Airport (SCE) is located less than 15 minutes from the hotel, and a free shuttle is available to be scheduled for hotel guests.

Directions

Google Maps Directions to the Nittany Lion Inn Map of the Penn State Campus

Parking

Parking is available in the Nittany Parking Deck for non-overnight guests. See the front desk to have your parking validated on your way out.

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extreme science and engineering discovery workshop series at psu ics

Big Data Workshop on XSEDE

Date: Tuesday, April 2–Wednesday, April 3

Time: 11:00 a.m.–5:00 p.m.

Location: 223 Computer Building

Learn how to conduct big data analyses on the XSEDE platform. The two-day workshop will include sessions on Spark, Hadoop, Machine Learning, Deep Learning, and Bridges. This session is being presented by the Pittsburgh Supercomputing Center, and is being broadcast to the University Park campus using the Wide Area Classroom (WAC) training platform. Registration Deadline: March 29 at 3:00 p.m. ET

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CSRE Symposium: Security and the Autonomous Future

Date: Thursday, April 4–Friday, April 5

Join Penn State faculty and other invited national experts to explore how autonomous systems will affect personal, national, and global security. This event is free and open to the public, and includes a continental breakfast, full lunch, keynote address by Paul Scharre, and access to expert panels on emerging technology, ethics of conflict, international norms, domestic security, and how autonomous systems affect the meaning of humanity. Six CLE credits are available (five hours of substantive and one hour of ethics). Attendees registering for CLE credits will be charged a $25 fee. Registration deadline: March 29

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AI Immersion Day

Date: Monday, April 15

Time: 5:00 p.m.–9:00 p.m.

Location: Nittany Lion Inn

During the AI Immersion Day, Nittany AI Challenge participating companies will be providing an opportunity for the Penn State community to interact with their AI tools and learn about their capabilities.

Agenda

Time Session

5:00–5:20 p.m.

Welcome & Oracle Overview

Nittany Lion Inn Ballroom A, B, C, University Park, PA 16802 The Art of the Possible—Creating Tomorrow’s Campus Today Learn how Oracle technology and applications can foster student success and lifelong engagement in support of “One Penn State 2025.”

5:30–6:15 p.m.

Concurrent Sessions

  • Amazon – Getting Started with Amazon Web Services 
  • Google – Bring Google’s AI to your Applications Learn how Google is offering best-in-class services for any type of data and for different users, from data science to pure app developers.
  • Microsoft – Azure AI Overview, From API to Custom Models Understand the AI capabilities of Azure, from the APIs of Cognitive Services to the several techniques to build and deploy your own models.
  • Oracle – The Art of the Possible: Oracle Product Management, Blockchain, AI, and Chatbots Take a deeper dive on topics covered in the welcome address.

6:25–7:40 p.m.

Concurrent Workshops

  • Amazon – The AWS Machine Learning Stack
  • Google – Bring your Chatbot to Life Build a Dialogflow agent and create your own free Google Cloud account. Understand how the power of Google search and language understanding come together in conversations along with cloud functions.
  • Microsoft – Azure AI: Getting Started and Diving Deep Get started with Azure AI services, from setting up your first Azure notebook, to spinning up an Azure data science virtual machine, and beyond.
  • Oracle – Hands-on Lab: AI, Chatbots, and Blockchain  Understand Oracle’s chatbot development platform and Hyperledger-based blockchain platform, building an understanding of the Blockchain cloud service architecture to enhance a sample application.

7:50–9:00 p.m.

Concurrent Workshops

  • Amazon – Building a Machine Learning/AI Application on AWS
  • Google – Codelab: Build Actions on Google Assistant with your Chatbot Understand how the power of Google search and language understanding come together in conversations along with cloud functions, while you’re building your bot.
  • Microsoft – Azure AI: Getting Started and Diving Deep Get started with Azure AI services, from setting up your first Azure notebook, to spinning up an Azure data science virtual machine, and beyond.
  • Oracle – Hands-on Lab: AI, Chatbots, and Blockchain  Understand Oracle’s chatbot development platform and Hyperledger-based blockchain platform, building an understanding of the Blockchain cloud service architecture to enhance a sample application.

You can register for the event here.

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