Paul L. Laskowski

University of California at Berkeley
School of Information
102 South Hall, Berkeley CA 94720-4600

Education

  UC Berkeley, Information Management and Systems, Ph.D. 2009
     Dissertation title: Designing Networks for Innovation
     Committee: John Chuang (chair), Hal Varian, Scott Shenker
  Harvard University, Applied Mathematics, A.B. 2002

Publications and Presentations

N. Kohli and P. Laskowski. Differential Privacy for Black-Box Statistical Analyses. Workshop on the Theory and Practice of Differential Privacy (TPDP), 2021 [pdf]

J. Kroll, N. Kohli, and P. Laskowski. Privacy and policy in polystores: a data management research agenda. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. Springer, Cham, 2019. 68-81. [pdf]

Kohli, Nitin, and Paul Laskowski. Epsilon Voting: Mechanism Design for Parameter Selection in Differential Privacy. Proceedings of the IEEE Symposium on Privacy-Aware Computing (PAC), pp. 19-30. 2018. [pdf]

B. Johnson, P. Laskowski. Privacy, Polarization, and Passage of Divisive Laws. Proceedings of the IEEE Symposium on Privacy Aware Computing (PAC). 2018. [pdf]

P. Laskowski, S. Karayev, and M. Hearst. How Do Professors Format Exams? An Analysis of Question Variety at Scale. Proceedings of the Fifth ACM Conference on Learning @ Scale. 2018. [pdf]

M.A. Hearst, P. Laskowski, and L. Silva, Evaluating Information Visualization via the Interplay of Heuristic Evaluation and Question-Based Scoring. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI). May 2016. [pdf]

B. Johnson, P. Laskowski, T. Maillart, J. Chuang, and N. Christin. Caviar and Yachts: How your Purchase Data May come back to Haunt You. In Proceedings of the 14th Workshop on Economics of Information Security (WEIS). Delft, Netherlands. June 2015. [pdf]

P. Laskowski, B. Johnson, T. Maillart, and J. Chuang. Government Surveillance and Incentives to Abuse Power. In Proceedings of the 13th Workshop on Economics of Information Security (WEIS). State College, PA. June 2014. [pdf]

P. Laskowski, P. Ferreira. Analyzing the Graph Structure of Supply Chains. 2011 working paper. [pdf]

P. Laskowski, J. Chuang. The Economics of Virtualized Networks. 2011 working paper.

P. Laskowski, P. Ferreira. A General Supply Chain Framework with Application to the Network Neutrality Debate. Industry Studies Association Conference, May 2013. (Abstract reviewed)

P. Laskowski, J. Chuang. Innovations and Upgrades in Virtualized Network Architectures. In Proceedings of NetEcon, October 2010. [pdf]

P. Laskowski, J. Chuang. A Leap of Faith? From Large-Scale Testbed to the Global Internet. 37th Telecommunications Policy Research Conference, September 2009. (Abstract reviewed) [pdf]

P. Laskowski, J. Ubois, D. Marvit, J. Chuang. Discovering Digital Content in the Age of Peer-to-Peer. In Proceedings of NetEcon, July 2009. [pdf]

P. Laskowski, J. Chuang. Empowering Users to Break the Internet Impasse. Workshop on the Economics of Securing the Information Infrastructure, 2009. (By invitation)

P. Laskowski, B. Johnson, J. Chuang.  User-Directed Routing: From Theory, Towards Practice.  In Proceedings of NetEcon, August 2008. [pdf]

P. Laskowski, J. Chuang.  Network Monitors and Contracting Systems: Competition and Innovation.  In Proceedings of ACM SIGCOMM, September 2006. [pdf]

P. Laskowski, J. Chuang.  Antitrust Scrutiny of Price-Fixing Clauses in Patent Licenses.  2005 working paper. [pdf]

P. Dollar, P. Laskowski, and M. Van Alstyne.  Simulating Information Growth and Diffusion in Agent Societies.   In Proceedings of the Computational Analysis of Social and Organizational Systems Conference, 2002, Carnegie Mellon University, Day 2, pp. 97-103.

Extramural Support

Principal-Investigator, An Open Privacy Research Toolkit. Center for Long-Term Cybersecurity, Hewlett Foundation, $38,000, 2020.

Principal-Investigator, Statistical Foundations to Advance Provably Private Algorithms. Center for Long-Term Cybersecurity, Hewlett Foundation, $30,000, 2017.

Principal-Investigator, (Im)balances of Power in the Age of Personal Data. Center for Long-Term Cybersecurity, Hewlett Foundation, $10,000, 2016.

Teaching

INFO 206: Introduction to Programming for Information Management Applications, F18

INFO 290-007: Fundamentals of Data Analysis with Python, F18

DATASCI W271: Applied Regression and Time Series Analysis Online course development 2015, live instruction F15

DATASCI W200: Python Fundamentals for Data Science Online course development 2016, course lead Sp16-present

DATASCI W203: Statistics for Data Science Online course development 2013, 2016, live instruction Sp14, Su14, F14, F16, course lead Sp14-present

DATASCI 1B: Fundamentals of Data Structures and Algorithms Online course development, 2014, course lead, Su14-present

INFO 271B: Quantitative Research Methods, F13

INFO 155: Introduction to High-Level Programming, Su13

INFO 231: Economics of Information, Sp13

INFO 90: Programming for Computing Applications, F12

University Service

Member, Master of Information and Data Science Curriculum Committee, 2016-present

Member, Master of Information and Data Science Admissions Committee, 2016-present

Professional Activities

Review Committee, Center for Long Term Cybersecurity 2016-2017

Session Organizer, 2009 Workshop on the Economics of Securing the Information Infrastructure (WESII 2009)

Other Experience

Java Developer, University of Michigan, 2001–2003

Founding Board Member, National Association of Intercollegiate Gymnastics Clubs, 2006–2007

Honors

Pamela Samuelson Fellowship, 2003-2005
Harvard College Scholarship, 1999-2002
Member of U.S. Physics Olympiad Team, 1997
U.S. Math Olympiad Summer Camp (one of 30 students to qualify), 1996