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 firstname.lastname@example.org if you have any questions about the ICS Symposium.
Registration and Light Breakfast
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
Panel Discussions (Choose One):
- Science Applications of Big Data & Machine Learning
- Immersive Technology
- Law, Policy, and Research in AI Research, Use, and Application
Panel Discussions (Choose One):
- Computational Materials Design & Machine Learning
- Security, Fairness, and Privacy of Machine Learning
- Social Good
"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.
Security, Fairness, and Privacy of Machine Learning
, coordinated by Patrick McDaniel
: Patrick McDaniel, Penn State
, Professor of Computer Science, University of Virginia
, Professor of Computer Science and Engineering, University of California, Riverside
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
, Associate Professor & Senior Data Science Fellow, University of Washington
, Associate Professor, Penn State
Associate Professor of Computer Science and Engineering, Penn State
, Assistant Professor of Civil and Environmental Engineering, Penn State
, Assistant Professor of Geosciences, Penn State
Law and Policy in AI Research, Use, and Application
, coordinated by Anne Toomey McKenna
Anne Toomey McKenna
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
, Ph.D. Candidate, Information Sciences and Technology, Penn State
coordinated by Ping Li
: Ping Li, Penn State University
, Professor of Geography, Penn State
, Associate Professor in Engineering Design and Industrial and Manufacturing Engineering, Penn State
, Associate Professor of Psychology, Penn State
, Assistant Professor of Human Development and Family Studies, Penn State
Computational Materials Design & Machine Learning
, coordinated by Susan Sinnott
: John Mauro, Penn State
, Assistant Professor of Materials Science and Engineering, Penn State
, Professor of Materials Science and Engineering, Carnegie Mellon
Adama Tandia, Corning
, Empire Innovation Professor, University of Buffalo
, coordinated by Vasant Honavar
Panel Chair: Vasant Honavar
, A. Robert Noll Chair and Distinguished Professor of Electrical Engineering and Computer Science, Penn State
, Professor of Biobehavioral Health, Penn State
, Assistant Professor of Computer Science, Tulane University
, Assistant Professor of Information Science and Technology, Penn State
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.
Two students will receive prizes of $750 in travel funds to a top-tier conference of choice where the students will present their work.
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.
- 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
Monday, March 11
If you have any questions, please contact Suzy Unger at email@example.com
- 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.
Google Maps Directions to the Nittany Lion Inn
Map of the Penn State Campus
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.