ICS Events

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 (Ballroom)
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 (Boardroom 1)
  • Immersive Technology (Boardroom 2)
  • Law and Policy in AI Research, Use, and Application (Assembly Room)

11:45–1:00: Lunch Buffet (Ballroom)
1:00–2:30: Poster Session (Faculty Staff Club)
2:30–4:00: Panel Discussions (Choose One):

  • Computational Materials Design & Machine Learning (Boardroom 1)
  • Security, Fairness, and Privacy of Machine Learning (Boardroom 2)
  • Social Good (Assembly Room)

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 and Maurie Kelly
Panel Chair: Eric Ford
Panel Members:
Mario Juric, 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.