Talks


  • Joint Quantitative Brownbag (Joint QBB) Speaker Series, Sept 9, 2024.
  • AI-enabled Discovery: The Digital Scholarly Record.
  • 2024 US-UK Scientific Forum on science in the age of AI, June 12, 2024.
  • On Emergent Limits to Knowledge Or, How to Trust the Robot Researchers: A Pocket Guide.
  • Keynote, Learning from Authoritative Security Experiment Results (LASER) Workshop, December 5, 2023.
  • A Decade Later: Reproducibility & Reliability of Research Results.
  • Departmental Seminar, Alfred-Weber-Institut Für Wirtschaftswissenschaften, Heidelberg University, Germany, November 30, 2023.
  • Automating Assessment of Machine Learning Research: Revisiting Arrow’s Impossibility Theorem.
  • Digital Neurosurgery 2023, Regulating Digitization: Legal, IP, Privacy and Ethical Issues, October 14, 2023.
  • Is Neurosurgery a Creative Work? (and why do we care?).
  • Joint Statistical Meetings, Statistics and the Reproducibility Crisis, August 10, 2023.
  • Automating Assessment of Computational Reproducibility in Machine Learning Research.
  • REAL@USC-META CENTER First Anniversary Conference, October 31, 2022.
  • Automating Machine Learning Model Checking.
  • Building a Community Roadmap to Robust Science in High-Throughput Applications, SIAM Conference on Computational Science and Engineering (CSE21), March 2, 2021.
  • Advancing Computational Scientific Discovery by Enabling Reproducibility and Transparency: Policies and Practice
  • Scholarship for a Post-Pandemic World: A Conversation; Council of Graduate Schools 60th Annual Meeting, December 3, 2020.
  • Training and Scholarly Impact in a Digital World.
  • Epstein Institute Seminar, USC, September 1, 2020.
  • Two Projects for Advancing Scientific Reliability in Complex Computational and Human Systems.
  • Keynote, Applied Human Factors and Ergonomics Conference: The Human-Side of Service Engineering, July 18, 2020.
  • Toward a Computable Scholarly Record: Meta Science and Engineering Reproducibility in the Era of AI.
  • P-RECS'20 3rd International Workshop on Practical Reproducible Evaluation of Systems, June 24, 2020.
  • Beyond Open Data: A Model for Linking Digital Artifacts to Enable Reproducibility of Scientific Claims.
  • P-RECS'20 3rd International Workshop on Practical Reproducible Evaluation of Systems: Open Discussion, June 24, 2020.
  • ACM Reproducibility and Replication EIG.
  • CS IEEE Ad Hoc Committee on Reproducibility and Open Science, June 17, 2020.
  • "Reproducibility and Replication in Science” Report Recommendations.
  • Realizing Opportunities for Advanced and Automated Workflows in Scientific Research: Second Meeting, March 16, 2020.
  • Cyberinfrastructure Shapes Scientific Outcomes in Crucial and Largely Unrecognized Ways.
  • Lightning Talk, Vice Chancellor for Research and Innovation visit to the School of Information Sciences, University of Illinois at Urbana-Champaign, Feb 21, 2020.
  • Reproducibility for Computational and Data-Enabled Science.
  • AAAS Annual Meeting, Panel: The Reproducibility Revolution: Impacts on Science, Journalism, and Society, Feb 15, 2020.
  • Reproducibility Across Research Disciplines and Stakeholder Communities.
  • SIAM Conference on Parallel Processing for Scientific Computing (PP20), Feb 13, 2020.
  • Transparency and Reproducibility: Case Studies, Formalisms, and Structured Guidance in Computational Social Science Applications.
  • Project TIER Transparency and Reproducibility Speaker Series, Feb 7, 2020.
  • Community Efforts Advancing Reproducibility and Transparency in Data and Computationally-Enabled Research.
  • ISE Seminar, University of Southern California, Jan 29, 2020.
  • New Approaches to Reproducibility & Reliability of Research Results.
  • 2019

  • CS Distinguished Seminar, Northwestern University, Nov 20, 2019.
  • The Lifecycle of Data Science: A Framework for Advancing Computational and Data-enabled Research.
  • Center for Data and Computing Distinguished Speaker Series, University of Chicago, Nov 19, 2019.
  • Reproducibility is Not a Crisis. Now What? Next Steps for Advancing Computational and Data-enabled Science. Video
  • Datapalooza 2019, UVA, Nov 1, 2019.
  • Advancing Data Science as a Science: Paradigms, Practices, and Infrastructure
  • ASIS&T 82nd Annual Meetings, Oct 21, 2019.
  • Open Access to Research Artifacts: Implementing the Next Generation Data Management Plan
  • Cognitive Systems Institute Group Speaker Series, Sept 26, 2019.
  • Advancing Data-enabled Research via Reproducibility and Transparency
  • The National Academies of Science, Engineering, and Medicine, Reproducibility and Replicability in Science: Next Steps Symposium, Washington D.C., Sept 24, 2019.
  • Replicability: What It Means to Replicate a Study
  • Center for Informatics Research in Science and Scholarship Seminar, University of Illinois at Urbana-Champaign, Sept 13, 2019.
  • Advancing Data-enabled Discovery by Enabling Reproducibility and Transparency
  • Keynote: Parallel Computing 2019 Symposium Tools and Infrastructure for Reproducibility in Data-Intensive Applications, Prague, Czech Republic, Sept 10, 2019.
  • Advancing Reproducibility and Transparency in Data Inference Applications
  • Parallel Computing 2019 Symposium Tools and Infrastructure for Reproducibility in Data-Intensive Applications, Prague, Czech Republic, Sept 10, 2019.
  • Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
  • Trusted CI: The NSF Cybersecurity Center of Excellence, Indiana University, Aug 27, 2019.
  • Reproducibility and Replicability in Cyberinfrastructure Systems
  • Friday Lunch Talks, Innovative Computing Laboratory, University of Tennessee - Knoxville, Aug 23, 2019.
  • Advancing Reproducibility and Transparency via Cyberinfrastructure and Community Standards
  • Space Telescope Science Institute, Baltimore, MD, July 17 2019.
  • Reproducibility in Scientific Inference, Data Dissemination, and Computational Environments
  • Reproducible Problem Solving with CyberGIS and Geospatial Data Science, University of Illinois at Urbana-Champaign, July 9, 2019.
  • Reproducibility in Computational and Data-enabled Science
  • 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems (P-RECS19), Co-located with the 28th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2019), Phoenix, AZ, June 24, 2019.
  • Continuous Integration Strategies in the Scientific Software Context
  • 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems (P-RECS19), Co-located with the 28th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2019), Phoenix, AZ, June 24, 2019.
  • Implementing Computational Reproducibility in the Whole Tale Environment
  • Building Bridges Across the S&T Enterprise: A White House National Science and Technology Council (NSTC) Conference, Bethesda, MD, June 14, 2019.
  • Data Infrastructure, Cyberinfrastructure and Reproducibility
  • Workshop on Education and Training for Reproducible Research - An Infrastructure Perspective, NCSA, March 7, 2019.
  • Cyberinfrastructure in the Classroom: A Case Study Using Whole Tale
  • 2018

  • HPC in Cloud or Cloud in HPC: Myths, Misconceptions and Misinformation, Supercomputing18, Dallas, TX, Nov 13, 2018.
  • Scientific Reproducibility in the Cloud: Opportunities and Gaps
  • Computational Reproducibility at Exascale 2018 (CRE2018), Supercomputing18, Dallas, TX, Nov 11, 2018.
  • Reproducibility in Computational and Data-enabled Science
  • The 1st Workshop on Reproducible, Customizable and Portable Workflows for HPC, Supercomputing18, Dallas, TX, Nov 11, 2018.
  • Assessing Reproducibility: An Astrophysical Example of Computational Uncertainty in the HPC Context
  • Plenary: Ethics, law, and transparency. "Institute for the Secure Sharing of Online Data" (ISSOD) Workshop, Boston, MA, Nov 8, 2018.
  • A Future of Research Transparency: Enabling Reproducibility in Repository Design
  • EPFL Symposium, Lausanne, Switzerland, Oct 25, 2018.
  • Enabling Reproducibility in Computational and Data-enabled Science
  • Workshop II: HPC and Data Science for Scientific Discovery. Part of the Long Program "Science at Extreme Scales: Where Big Data Meets Large-Scale Computing", Institute for Pure and Applied Mathematics, UCLA, Oct 19, 2018.
  • Enabling Reproducibility in Computational and Data-enabled Science
  • CMU Open Science Symposium, Oct 18, 2018.
  • Open Data, Code, and Computational Reproducibility
  • ProSem Seminar, iSchool, University of Illinois at Urbana-Champaign, Oct 12, 2018.
  • How Open Licensing Can Support Reproducibility in Computational Science
  • Law and Data Science Summit, University of Illinois at Urbana-Champaign, Oct 5, 2018.
  • Legal Considerations in Data Science
  • Environmental Health Sciences Seminar, Yale School of Public Health, CT, Oct 3, 2018.
  • Transparency and Reproducibility in Evidence-based Policy Making
  • Biostatistics Seminar, Northwestern University, IL, Oct 2, 2018.
  • Infrastructure for Enabling Reproducibility in Computational and Data-enabled Science
  • Second Annual Junior Faculty Forum for Law and STEM, Northwestern University School of Law, Chicago, Sept 28-29, 2018.
  • Discussant: Scientific Knowledge Fraud
  • Whole Tale Workshop on Tools and Approaches for Publishing Reproducible Research, Chicago, IL, Sept 13-14, 2018.
  • Keynote, R / Medicine, Yale University, Sept 8, 2018.
  • Computational Reproducibility in Medical Research: Toward Open Code and Data
  • Legal and Policy Issues Posed by Artificial Intelligence Advances, Berkeley, CA, Sept 6, 2018.
  • The Value of Computational Transparency
  • Rice University ECE Seminar, Houston, TX, Sept 4, 2018.
  • Advancing Data Science through a Lifecycle Approach
  • Joint Statistical Meetings, Big Data: Professional and Ethical Challenges from the Perspective of Actuaries, Statisticians and Data Scientists, Vancouver, BC, August 2, 2018.
  • Two Key Ethical Challenges in Data Science
  • Joint Statistical Meetings, Introductory Overview Lecture: Reproducibility, Efficient Workflows, and Rich Environments, Vancouver, BC, July 31, 2018.
  • How Computational Environments Can (Unexpectedly) Influence Statistical Findings
  • Joint Statistical Meetings, Transparency, Reproducibility and Replicability in Work with Social and Economic Data, Vancouver, BC, July 29, 2018.
  • Framing Reproducibility Issues in Computationally- and Data-Enabled Research
  • SciFOO Lightning Talk, Google X, June 23, 2018.
  • The Reproducibility Debate
  • Research Reproducibility 2018: Building Research Integrity Through Reproducibility, University of Utah, June 15, 2018.
  • Computational Reproducibility
  • Keynote, The 27th International Symposium on High-Performance Parallel and Distributed Computing, Arizona State University, June 13, 2018.
  • Reproducibility in Computational and Data-enabled Science
  • First International Workshop on Practical Reproducible Evaluation of Computer Systems, Arizona State University, June 11, 2018.
  • Enabling the Verification of Computational Results: An Empirical Evaluation of Computational Reproducibility, and the Lightning Talk and our poster.
  • Keynote, IEEE Data Science Workshop, June 6, 2018.
  • Reproducibility and Generalizability in Data-enabled Discovery, and our poster.
  • Symposium on Data Science and Statistics, May 18, 2018.
  • Defining the AIM: An Abstraction for Improving Machine Learning Prediction
  • Publishing Summit 2018, Pacific Northwest National Labs, May 8, 2018.
  • Reproducibility at Scale
  • Rice University, April 25, 2018.
  • Paradigms for Data Science: Reproducibility, Transparency, and Generalizability
  • Reproducibility Symposium, School of Public Health, Yale University, April 16, 2018.
  • Computational Reproducibility
  • IEEE Panel of Editors Meeting: Research Reproducibility, April 13, 2018.
  • Stakeholder Roles in Enabling Reproducibility in Computational Research
  • Keynote, Northwestern Computational Research Day, April 10, 2018.
  • Reproducibility in Computational Research: Code, Data, Statistics, and Implementation
  • Computer & Information Sciences Distinguished Speaker Lecture, University of Delaware, April 6, 2018.
  • The Science of Computational Reproducibility
  • SOS-22 Workshop: HPC and Data Science, Waikoloa, Hawaii, March 28, 2018.
  • Reproducibility at Exascale
  • Roundtable on Data Science Postsecondary Education, Berkeley, CA, March 23, 2018.
  • Data Science as a Science: Methods and Tools at the Intersection of Data Science and Reproducibility
  • Guest Lecture, UC Berkeley, CA, March 22, 2018.
  • Knowledge and Information vs Data
  • Towards New Principles for Enhanced Access to Public Data for Science, Technology and Innovation; OECD Committee for Scientific and Technological Policy Workshop, Paris, March 13, 2018.
  • Enabling Access to Research Data: Key Steps Forward
  • Barnard College at Columbia University, NYC, Feb 8, 2018.
  • Computational Knowledge and the Scholarly Record
  • Social Science Foo Camp Lightning Talk, Facebook, Menlo Park, CA, Feb 3, 2018.
  • What's a Finding?
  • Research Panel Presentation, Learning from the Science of Cognition and Perception for Decision-making: A Workshop, Decadal Survey of Social and Behavioral Sciences for Applications to National Security, (or here), Washington DC, Jan 24, 2018
  • Trust in Research Findings
  • Invited Public Seminar, Department of Statistical Sciences and the iSchool, University of Toronto, Jan 18, 2018
  • The Meaning of Evidence in Computational and Data-Driven Science
  • 2017

  • Assessing the Availability of Source Code in Computational Physics, SC17, Nov 14-16, 2017
  • Assessing the Availability of Source Code in Computational Physics
  • Reproducibility and Uncertainty in High Performance Computing, SC17, Nov 14, 2017
  • Reproducibility and Uncertainty in High Performance Computing
  • Seminar in the Department of Statistical Science, Cornell University, Nov 1, 2017
  • Structuring Machine Learning in Data Driven Science
  • Seminar in the Department of Statistical Science, University of Toronto, Oct 26, 2017
  • Structuring Research for Reproducibility in Data Science Investigation
  • Statistics Department Seminar, Northwestern University, Oct 18, 2017
  • CompareML: Structuring Machine Learning Research in Data Driven Science
  • Epidemiology Seminar, Stanford University School of Medicine, Oct 17, 2017
  • Reproducibility in the Biomedical Sciences: Progress, Policy, and Prognosis
  • Guest Lecture, Stanford University Stats Department, Oct 16, 2017
  • Reproducibility in Computational Science (video to come)
  • Open Science Evening Talks 2017, EPFL, Lausanne, CH, Sept 28, 2017
  • A Computable Scholarly Record (video here)
  • Open Science in Practice, EPFL, Lausanne, CH, Sept 28, 2017
  • Software and Scientific Reproducibility
  • Featured Speaker, Code Ocean Workshop: Effective Practices in Computational Reproducibility, Columbia University, NYC, Sept 19, 2017
  • What You Need to Know About Reproducibility
  • Keynote, Research Data Management Implementations (RDMI) Workshop, Arlington, VA, Sept 14, 2017
  • Research Data Management Implementations: Towards the Reproducibility of Science
  • Keynote, Chameleon User Meeting, Argonne National Lab, Lemont, IL, Sept 13, 2017
  • The Role of Cyberinfrastructure in Reproducible Science
  • European Alpbach Forum, Technology Symposium, Alpbach, Austria, August 25, 2017
  • Knowledge and Understanding in the Age of Data
  • National Science Foundation, Workshop on Reproducibility Taxonomies for Computing and Computational Science, Arlington VA, July 25, 2017
  • Reproducibility Background: A Historical Perspective
  • National Academies of Science, Engineering and Medicine, Toward an Open Science Enterprise, Washington DC, July 20, 2017
  • Enhancing Reproducibility for Computational Methods
  • Math+Stats+X A Conference on the Occasion of Dave Donoho's 60th Birthday, Stanford University, June 25, 2017
  • 25 Years of Reproducibility
  • Dataverse Community Meeting 2017, Harvard University, June 16, 2017
  • Toward a Reproducible Scholarly Record
  • Summer@Census Seminar, Census Bureau, Suitland, MD, June 5, 2017
  • Implementing Reproducible Computational Research: Policy and Practice
  • METRICS Seminar, Stanford, CA, May 15, 2017
  • Reproducibility in Computationally-Enabled Research: Integrating Tools and Skills
  • Data Science @ HEP, Fermilab, Batavia, IL, May 9, 2017
  • MLCompare: A Facilitating Framework for Machine Learning Research
  • AERA Annual Meeting, Data Sharing and Research Transparency at the Stage of Journal Publishing, San Antonio, TX, April 30, 2017
  • Publishing Computational Findings
  • AERA Annual Meeting, Using Big Data: The Ethics, Dilemmas, and Possibilities for Educational Opportunity, San Antonio, TX, April 28, 2017
  • Law & Ethics of Big Data Research Dissemination
  • The Judith Resnik Year of Women in ECE Seminar, Carnegie Mellon University, Pittsburgh, PA, April 6, 2017
  • Reproducibility in Computationally-enabled Research
  • National Academy of Sciences, Arthur M. Sackler Colloquia, Reproducibility of Research: Issues and Proposed Remedies, Washington D.C., March 9, 2017
  • Data Sharing and Reproducibility
  • National Academy of Sciences, Arthur M. Sackler Colloquia, Reproducibility of Research: Issues and Proposed Remedies, Washington D.C., March 8, 2017
  • Framing the Issues: Reproducibility in Many Forms
  • Institute for Advanced Computational Science, Stony Brook University, March 2, 2017
  • Implementing Reproducible Computationally-Enabled Science
  • Heidelberg Institute for Theoretical Studies (HITS) Colloquium, Heidelberg, Germany, February 20, 2017
  • Implementing Reproducibility in Computational Science
  • USGS, Community for Data Integration monthly meeting, Washington DC, February 8, 2017
  • Facilitating Reproducibility of Scientific Findings through Access to Data, Code, and Research Objects
  • IST Lunch Bunch, Caltech, January 10, 2017
  • Enabling Reproducibility in Computational Science
  • Envisioning the Scientific Paper of the Future, Caltech, January 9, 2017
  • Imagining a Reproducible Scholarly Record
  • 2016

  • AGU Fall Meeting, Reproducible Research in Geosciences with Emphasis on Provenance of Information as an Essential Component I, San Francisco, Dec 15, 2016
  • Introducing the Whole Tale Project: Merging Science and Cyberinfrastructure Pathways
  • A University Symposium: Promoting Credibility, Reproducibility, and Integrity in Research, Columbia University, NYC, Dec 9, 2016
  • Deconstructing Reproducibility
  • IC Colloquium, Ecole polytechnique fédérale de Lausanne, Switzerland, Nov 17, 2016
  • Imagining a Reproducible Scholarly Record
  • Seance de reflexion of the Swiss National Research Council on "2050: A Science Odyssey," Interlaken, Switzerland, Nov 16, 2016
  • Science: Set the Default to Open
  • IEEE Workshop on The Future of Research Curation and Research Reproducibility, Washington, DC, Nov 6, 2016
  • Economics of Reproducibility
  • Center for Research Computing Seminar, Notredame University, Oct 24, 2016
  • Reproducibility in Computational Science: A Computable Scholarly Record (video)
  • Invited Presentation, NSF GEO Directorate Advisory Committee Meeting, Washington, DC., Oct 19, 2016
  • Reproducibility in Computational Science: Framing and Steps Forward
  • RDI2 Workshop: Reproducibility in Experimental and Computational Science Research - A Rutgers 250 Event, Rutgers University, Oct 10, 2016
  • Toward Really Reproducible Research: Policies and Practices
  • Bringing Rigor and Reproducibility to Research: A Symposium for the Health Sciences, University of Pittsburgh, Sept 22, 2016
  • Rethinking the Scholarly Record: Facilitating Reproducibility of Computational Results
  • RDA 8th Plenary Joint meeting: IG Active Data Management Plans, IG Preservation e-Infrastructure and IG Reproducibility, Denver CO, Sept 17, 2016
  • Supporting Public Access to Supplemental Scholarly Products Generated from Grant Funded Research
  • IG Reproducibility RDA 8th Plenary meeting, Denver CO, Sept 16, 2016
  • Reproducibility Interest Group
  • International Data Forum, Data for the Public Good: Responsibilities, Opportunities and Dangers in a Data-Aware Society, International Data Week, Denver CO, Sept 14, 2016
  • Scientific Transparency, Integrity, and Reproducibility
  • Colloquium on Future Cyberinfrastructure for Scientific Discovery, Computer Science and Telecommunications Board, The National Academies of Sciences, Engineering, and Medicine, Washington DC, Sept 8, 2016
  • Achieving Reproducibility in Computationally Enabled Research
  • CIRSS Seminar, University of Illinois at Urbana-Champaign, Sept 2, 2016
  • Introducing the Whole Tale Project
  • Workshop on the Growth of Computer Science Undergraduate Enrollments, NAS, Washington DC, August 15, 2016
  • Dimensions of Computing: A Data Science Perspective
  • Intellectual Property Scholars Conference, Stanford Law School, CA, August 11, 2016
  • Disclosing Data Enabled Research: Intellectual Property Policy for Publishers, Technology Transfer Offices, and Librarians
  • Keynote Talk, NSF Workshop on Geospatial Data Science, NCSA, IL, July 25, 2016
  • Reproducibility in Geospatial Sciences and Technologies
  • Invited Talk, SIAM Annual Meeting, Boston, MA, July 14, 2016
  • Implementing Reproducibility in Computational Science (video)
  • Keynote, María de Maeztu Annual Event: Data-driven Knowledge Extraction Workshop, Universitat Pompeu Fabra, Barcelona, June 29, 2016
  • Reproducibility in Computational Research (video)
  • AGU DMM Advisory Board Meeting, Washington DC, May 26, 2016
  • Software and Reproducible Research
  • 2nd ACM Workshop on Data, Software, and Reproducibility in Publication, New York City, NY, May 4, 2016
  • Legal Issues in Reproducible Research
  • Keynote, Coalition for Networked Information Annual Meeting, San Antonio, TX, April 4, 2016
  • Defining the Scholarly Record for Computational Research (video)
  • Learning Tools to Promote Reproducible Research and Open Science, Chicago Chapter of the American Statistical Association, Northwestern University, Mar 31, 2016
  • A CyberInfrastructure Wish List for Statistical and Data Driven Discovery
  • Data Summit, University of Illinois at Urbana-Champaign, Feb 5, 2016
  • Reliable Inference in Data Science: Why Should We Care?
  • 2015

  • Social and Decision Analytics Laboratory Seminar, Virginia Tech, Arlington, VA, Dec 2, 2015
  • The Importance of Scientific Reproducibility in Evidence-based Rulemaking.
  • Cyberinfrastructure (CI) for NSF Large Facilities Workshop, Arlington, VA, Dec 1, 2015
  • Data Access and Ownership.
  • Invited talk, METRICS Conference, Stanford University, CA, Nov 19, 2015
  • Reproducibility in Computational Science.
  • Invited Plenary, SC15, Austin, TX, Nov 18, 2015
  • Reproducibility in High Performance Computing (video here).
  • Closing Remarks, Data Science @ LHC 2015 Workshop, Open Data & Roundtable on Data Access, CERN, Geneva, Nov 13, 2015
  • Open data and scientific reproducibility. (poster)
  • Seminar, Department of Statistics, University of Illinois at Urbana-Champaign, Nov 12, 2015
  • Reproducibility in Science: Reliability in Statistical and Data Driven Discovery.
  • Seminar, Department of Statistics, Carnegie Mellon University, Nov 9, 2015
  • Reproducibility and Reliability in Statistical and Data Driven Research.
  • Keynote, Open Access Week, VirginiaTech, Oct 22, 2015
  • Scholarly Communication in the Era of Big Data and Big Computation.
  • e-research Roundtable, University of Illinois at Urbana-Champaign, Oct 14, 2015
  • Reproducibility: Breakin' it Down.
  • Colloquium, Department of Computer Science and College of Law, University of Arizona, Oct 8, 2015
  • Resolving Reproducibility in Computational Science: Tools, Policy, and Culture.
  • Biostatistics Seminar, Memorial Sloan Kettering Cancer Center, New York City, NY, Sept 16, 2015
  • Credibility in Computational Science: Responding to the Reproducibility Crisis.
  • CLIR PostDoctoral Fellow Bootcamp, Bryn Mawr College, Bryn Mawr, PA, July 29, 2015
  • Scholarly Communication in Computational Research.
  • Harvard Purdue Data Management Symposium, Harvard University, Cambridge, MA, June 17, 2015
  • Reconceptualizing Scholarly Communication in the Era of Big Computation (video here).
  • NIH NLM Advisory Committee Meeting, Bethesda, MD, June 9, 2015
  • Policy Update on Digital Scholarly Objects.
  • Opening Governance Workshop, Center for Advanced Study in the Behavioral Sciences, Stanford University, May 27, 2015
  • Discussant: Federalism as a Mechanism of Collective Problem Solving by Jenna Bednar.
  • Center for Informatics Research in Science and Scholarship, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, April 10, 2015
  • Elements of Scholarly Discourse in a Digital World.
  • National Academies Workshop on Statistical Challenges in Assessing and Fostering the Reproducibility of Scientific Results, Washington, DC, Feb 26-27, 2015
  • Opening Comments, video here, and video from the panel on Data sharing I chaired here.
  • Center for Information Technology Policy Speaker Series, Princeton, NJ, Feb 24, 2015
  • Basing Rules on Empirical Evidence: Transparency in Lawmaking, video here.
  • AAAS Annual Meeting, San Jose, CA, Feb 13, 2015
  • Integrity, Reproducibility, and the Changing Technological Environment for Research
  • Workshop on the Science of Cyber-Security, 67th Meeting of IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance, Bristol, UK, Jan 23, 2015
  • Reliability and Reproducibility in Cyber Security Research
  • FORCE2015, Oxford University, UK, January 12, 2015.
  • 3 Types of Scientific Reproducibility
  • Replicability and Reproducibility of Discoveries in Animal Phenotyping, Tel Aviv University, Israel, January 6, 2015.
  • Computational and Statistical Reproducibility, (video here).
  • 2014

  • Testified for National Academies committee Future Directions for NSF Advanced Computing Infrastructure to support US Science in 2017-2020, Mountain View, CA, Dec 15, 2014.
  • Comments
  • Keynote, 2014 Berkeley Initiative for Transparency in the Social Sciences Conference, University of California at Berkeley, Dec 11, 2014.
  • Framing Transparency in Research: Issues and Opportunities, video and the panel discussion.
  • NCSA Colloquium, University of Illinois at Urbana-Champaign, Dec 5, 2014.
  • Toward Reliable and Reproducible Inference in Big Data (video).
  • Keynote, OpenCon 2014, American University Washington College of Law, Washington, DC, Nov 15, 2014.
  • Open Data and Reproducibility in Research, video
  • National Science Foundation Advisory Committee for Education and Human Resources, Washington, DC, Nov 6, 2014.
  • Big Data and the Credibility Crisis
  • National Science Foundation Advisory Committee for CyberInfrastructure, Washington, DC, Oct 29, 2014.
  • The Credibility Crisis
  • Seminar, Elon University School of Law, Greensboro, NC, Oct 27, 2014.
  • Do Software Patents Slow Scientific Discovery?
  • Mathematical Association of America Distinguished Lecture, on Reproducing Statistical Results, Washington, DC, Oct 23, 2014.
  • slides, video, also see a writeup here.
  • Invited Talk, Learning from Authoritative Security Experiment Results (LASER) Workshop, Washington, DC, Oct 15, 2014.
  • Why Does Reproducibility in Computation Science Deserve Our Attention? (video)
  • The HUBzero Conference, Indianapolis, IN, Sept 30, 2014.
  • CyberInfrastructure for Computational Science, video
  • Research Data Alliance 4th Plenary Meeting, Reproducibility Interest Group, Chairs' Meeting Amsterdam, Sept 21, 2014.
  • Reproducibility Interest Group
  • Invited Special Presentation: Privacy and Big Data at the Joint Statistical Meetings, Boston, MA, August 6, 2014.
  • Privacy, Big Data, and the Public Good: Frameworks for Engagement (I was told this talk would be made available online, turns out to be password protected access only which I was not informed about before speaking)
  • Keynote address at "reproducibility@XSEDE: An XSEDE14 Workshop." Atlanta, GA, July 13, 2014.
  • Reproducibility in Computational Science: Why? What? and How?
  • Book Preview: Privacy, Big Data, And The Public Good: Frameworks For Engagement. NYU, June 16, 2014.
  • Law, Ethics, & Economics of Big Data (book website, video of my talk, and the panel video)
  • Reproducibility Issues in Research with Animals and Animal Models: A Workshop The missing 'R': Reproducibility in a Changing Research Landscape. National Academy of Sciences, June 5, 2014.
  • Reproducibility and Publishing. (video, and here at 43:40)
  • Keynote, Information, Interaction, and Influence: Digital Science Workshop on Research Information Technologies and their Role in Advancing Science. Computation Institute, University of Chicago, May 19, 2014.
  • How Science is Different: Digitizing for Discovery
  • Relevance of Population Neuroscience for Understanding Human Development, University of Michigan, Ann Arbor, May 16, 2014.
  • Open Science and Neuroscience
  • DataEDGE, UC Berkeley, May 9, 2014.
  • Relying on Data Science: Reproducible Research and the Role of Policy (video).
  • Data, Society, and Inference Seminar, UC Berkeley, April 14, 2014.
  • When Should We Trust the Results of Data Science? (video)
  • UC Berkeley I School (announcement), April 9, 2014.
  • Toward Reproducible Computational Science: Reliability, Re-use, and Readability. (video)
  • SIAM Conference on Uncertainty Quantification, Panel Organizer and Participant, The Reliability of Computational Research Findings: Reproducible Research, Uncertainty Quantification, and Verification & Validation, Savannah, GA, April 1, 2014.
  • Verification, Validation & Error Quantification, and Reproducible Computational Science: An Outline of a New Methodological Approach (video).
  • SIAM Conference on Uncertainty Quantification, Minitutorial on VV&EQ and Reproducible Computational Science, Savannah, GA, April 1, 2014.
  • An Overview of Reproducible Research, Uncertainty Quantification and Verification & Validation (video).
  • The University of Newcastle, Newcastle, Australia, March 28, 2014.
  • Reproducibility in Experimental Mathematics.
  • Royal Melbourne Institute of Technology, Melbourne, Australia, March 27, 2014.
  • Reproducibility in Computational Science.
  • Keynote, Computational and Simulation Sciences and eResearch, Annual Conference, Melbourne, Australia, March 26, 2014.
  • Reproducibility in Computational Science: Opportunities and Challenges.
  • CSIRO, North Ryde, Sydney, Australia, March 24, 2014.
  • Reproducibility in Bioinformatics: Sharing High-dimensional Data and Workflows.
  • Statistics and Genomics Seminar, UC Berkeley, March 13, 2014.
  • Data and Code Sharing in Bioinformatics: From Bermuda to Toronto to Your Laptop (video).
  • Berkeley Statistics Annual Research Symposium (BSTARS), UC Berkeley, March 10, 2014.
  • Integrating Real World Applications in the Classroom: Experiences from the Master's Capstone Course.
  • UC Berkeley, Department of Statistics Seminar, Feb 26, 2014.
  • Reproducibility in Science: Reliability in Statistical and Data Driven Research (video).
  • GSLIS, UIUC, Feb 17, 2014.
  • Toward Reproducible Computational Science: Big Data, Big Computation, and Reliable Discovery.
  • Publish or perish? The future of scholarly publishing and careers, UC Davis, Feb 13, 2014.
  • Reproducibility in Science: Why all the Fuss? (video here, the "Innovations in Peer Review" section).
  • The Center for Law and the Bioscences Workshop Series, Stanford Law School, Feb 4, 2014.
  • Do Software Patents Slow Scientific Discovery?
  • Reproducibility in Image and Signal Processing, Telecom ParisTech, Paris, Jan 16, 2014.
  • What is Reproducibility?
  • 2013

  • 2013 Annual PAPOR Conference (Pacific Chapter of the American Association for Public Opinion Research (AAPOR)), Marines’ Memorial Club & Hotel, San Francisco, Dec 12, 2013.
  • Plenary: Privacy, Confidentiality, and the Use of Data.
  • Open Science: Driving Forces and Practical Realities, Library of Congress, DC, Nov 12, 2013.
  • What Does Open Science Mean Today?
  • Open Access Seminar, Purdue University, Oct 25, 2013.
  • Scientific Reproducibility: Opportunities and Challenges for Open Data and Code.
  • Open Access Seminar, University of Illinois at Urbana-Champaign, Oct 24, 2013.
  • Opportunities and Challenges for Open Data and Code: Facilitating Reproducibility.
  • Statistics Department Seminar, University of Minnesota, Oct 10, 2013.
  • Reproducibility in Computational Science.
  • Open Knowledge Conference, From Open Data to Open Science: Policy, Literacy and Citizen Engagement, Geneva, Sep 17, 2013.
  • Why Science is an Open Endeavor (video here).
  • Session on "Sharing data, code and publications - Making research reproducible," 59th International Statistics Institute World Congress, Hong Kong, Aug 30, 2013.
  • The Reproducible Research Movement in Statistics.
  • Intellectual Property Scholars Conference, Cardozo School of Law, New York, NY, Aug 9, 2013.
  • Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole.
  • " Workshop on Reproducible Research in Signal, Image and Geometric Processing," Les Treilles, Var, France, July 22-27, 2013. See our picture here.
  • Reproducible Research.
  • Workshop on " The Emerging Intersection between the Physical Sciences and Oncology," Cold Spring Harbor Laboratory, New York, July 15, 2013.
  • Big Data and Legal Barriers to Scientific Discovery: Patient & Data Owner Interactions.
  • Keynote, Open Repositories 2013, Charlottetown, Prince Edward Island, Canada, July 9, 2013.
  • Re-use and Reproducibility: Opportunities and Challenges.
  • Keynote, Galaxy Community Conference, Oslo, Norway, July 1, 2013.
  • Computational Reproducibility is Crucial for Scientific Software Platforms.
  • Future of Scientific Publishing: Open Access to Manuscripts and Big Data, Stanford University, June 27, 2013.
  • Open Access to Data: Policy Mandate and Scientific Imperative.
  • Council on Governmental Relations Open Access Panel, Washington DC, June 6, 2013.
  • Public Access Policy: Data, Code, and the Research Narrative.
  • Workshop on Software Infrastructure for Reproducibility in Science, NYU, May 30, 2013.
  • CyberInfrastructure for Scientific Integrity.
  • National Academies Public Comment Meeting concerning Public Access to Federally Supported R&D Data, Washington D.C., May 16, 2013.
  • Why Public Access to Data is So Important. Video available here.
  • Moderator, Columbia University Libraries, The Challenge of Communicating Computational Research, Columbia University, NYC, April 4, 2013.
  • video here.
  • University of Washington eScience Symposium, Seattle, WA, March 15, 2013.
  • Open Data, Open Methods, and the Promise of Large Scale Validation.
  • Testimony submitted to the House Committee on Science, Space and Technology for the March 5, 2013 hearing on Scientific Integrity & Transparency. (Summary document here) Video on the hearing website or here (~600MB), and snippets of the questions here and here.
    Reproducibility and Computationally Intensive, Data-driven Research session at SIAM Computational Science and Engineering, Boston, MA, Feb 28, 2013.
  • Disseminating Reproducible Computational Research: Tools, Innovations, and Best Practices.
  • Works In Progress Intellectual Property (WIPIP), Seton Hall University School of Law, New Jersey, Feb 13, 2013.
  • Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole.
  • Open Access Day at the University of Wisconsin - Milwaukee, Feb 8, 2013.
  • Digital Scholarship in Scientific Research: Open Questions in Reproducibility and Curation.
  • Scholarly Communication Workshop, University of Pittsburgh, Jan 14, 2013.
  • Technology and the Scientific Method: The Credibility Crisis in Computational Science.
  • 2012

    Panel Discussion, Open Economics International Workshop, University of Cambridge, Dec 17, 2012.
  • Facilitating Reproducibility: Open Data and Code in Economics.
  • Invited Session, ICERM Workshop on "Reproducibility in Computational and Experimental Mathematics," Brown University, Dec 10, 2012.
  • A Brief History of the Reproducibility Movement.
  • Seminar, School of Information, University of Michigan, Dec 6, 2012.
  • Scientific Knowledge in a Computational World: Facilitating Reproducibility and Transparency.
  • Biostatistics Seminar, University of Wisconsin-Madison, Nov 16, 2012.
  • Transparency in Computational Science.
  • "From Data to Solutions" IGERT Seminar, Columbia University, Nov 13, 2012.
  • Data-Intensive Science: Methods for Reproducibility and Dissemination.
  • Conference on Empirical Legal Studies, Stanford Law School, Stanford, CA, Nov 10, 2012.
  • Software Patents as a Barrier to Scientific Transparency: An Unexpected Consequence of Bayh-Dole.
  • Conference on Empirical Legal Studies , Stanford Law School, Stanford, CA, Nov 10, 2012.
  • Discussant Notes: Pornography and Divorce.
  • Centre mathématiques et leurs applications (CMLA), Ecole normale supérieure de Cachan, Cachan, France, Nov 7, 2012.
  • Disseminating Numerically Reproducible Research.
  • Université Orléans, Orleans, France, Nov 6, 2012.
  • The Reproducible Research Movement: Crisis and Solutions.
  • Analyzing and Improving Collaborative eScience with Social Networks (eSoN 12), Workshop held in conjunction with IEEE e-Science 2012, Chicago, Oct 8, 2012.
  • RunMyCode.org: a Novel Dissemination and Collaboration Platform for Executing Published Computational Results.
  • The 4th EMBO Meeting, Nice, France, Sept 24, 2012.
  • Towards Reproducible Science: Policy and a Path Forward
  • The 1st Global Thematic IASC Conference on the Knowledge Commons, Louvain-la-Neuve, Belgium, Sept 12, 2012.
  • Journal Policy and Reproducible Computational Research
  • Council on Library and Information Resources Summer Seminar on Data Curation, Bryn Mawr College, PA, August 2, 2012.
  • Digitization in Science: The Vital Role of Archiving
  • "How to Share Research Data: Views from Practitioners - Invited Panel", Joint Statistical Meetings, San Diego, CA, July 30, 2012.
  • Empowering the Observed: Policies to Facilitate Data Sharing
  • Numerical Cosmology 2012, DAMPT, Cambridge, UK, July 18, 2012.
  • Open Methodology and Reproducibility in Computational Science
  • Keynote, PDE Software Frameworks, Muenster, Germany, June 20, 2012.
  • Reproducible Results: Challenges for Computational Science and the Scientific Method,
  • AALS Workshop on When Technology Disrupts Law: How do IP, Internet and Bio Law Adapt?, Berkeley CA, June 12, 2012.
  • Big Data and Reproducing Scientific Results,
  • Keynote, 74th EAGE Conference & Exhibition: Open-source E+P Software - Six Years Later, Copenhagen, Denmark, June 8, 2012.
  • The Central Role of Geophysics in the Reproducible Research Movement,
  • The Future World Heritage Digital Mathematics Library: Plans and Prospects, National Academies of Science, Washington, DC, June 2, 2012.
  • Copyright and MetaData in the World Heritage Digital Mathematical Library,
  • Gruter Institute for Law and the Behavioral Research, Lake Tahoe, CA, May 22, 2012.
  • Intellectual Property and Innovation in Computational Science: Dissemination of Ideas and Methodology,
  • School of Information Seminar, UC Berkeley, Berkeley, CA, April 27, 2012.
  • Building the Reproducible Computational Science Movement: Catalysing Action through Policy, Software Tools, and Ideas,
  • Neyman Seminar, Department of Statistics, UC Berkeley, Berkeley, CA, April 25, 2012.
  • The Reproducible Computational Science Movement: Tools, Policy, and Results,
  • Dean's Lecture, UC Berkeley School of Information, Berkeley, CA, Feb 1, 2012.
  • The Credibility Crisis in Computational Science: An Information Issue, (mp3 audio recording),
  • Friday Seminar: NASA Goddard Institute for Space Studies, New York City, NY, Jan 27, 2012.
  • Reproducibility in Computational Science: Standards and Expectations,
  • 2011

    7th International Digital Curation Conference, University of Bath, Bristol, UK, Dec 6, 2011.
  • Reproducible Research: A Digital Curation Agenda, (video: vimeo),
  • Plenary Keynote, CyberInfrastructure Days, University of Michigan, Dec 1, 2011.
  • The Credibility Crisis in Computational Science: A Call to Action, (video: youtube),
  • National Science Foundation, Advisory Committee on CyberInfrastructure, Washington D.C., Nov 29, 2011.
  • Preliminary Report on Journal Policy and Reproducible Computational Research,
  • Discussant, Conference on Empirical Legal Studies, Northwestern Law School, Nov 5, 2011.
  • Comments on "Measuring Racial Profiling",
  • NYU Stern, Statistics Research Seminar, Oct 28, 2011.
  • Reproducible Research in Computational Science: Strategies for Innovation,
  • The Future of Data: Open Access and Reproducibility, University of Arizona, Tucson, AZ, Oct 25, 2011.
  • Framing Science Policy: Reproducible Research, not Open Data,
  • Keynote, Open Science Summit, Computer History Museum, Mountain View, CA, Oct 22, 2011.
  • Transparency in Scientific Discovery: Innovation and Knowledge Dissemination, (video: fora.tv, youtube),
  • Sustaining the Digital Research Enterprise, National Institutes for Health, Oct 18, 2011.
  • Open Challenges to Open Science,
  • Expert Panel on Data Management and Federal Funding, Columbia University, Sept 27, 2011.
  • Data Management and Sharing Policies in the NSF and the NIH, (YouTube video),
  • NYSPI Biostatistics Seminar, Columbia University, Sept 20, 2011.
  • The Credibility Crisis in Computational Science: Accountability and Public Health, (YouTube video),
  • FQXi Setting Time Aright, Session on "Truth," Copenhagen, Sept 1, 2011.
  • Establishing Scientific Facts (YouTube video),
  • ICIAM 2011: Reproducible Research in Computational Science: What, What and How, Vancouver, British Columbia, July 20, 2011.
  • What is Reproducible Research? The Practice of Science Today and the Scientific Method,
  • Community Forum on Reproducible Research Policies, Vancouver, British Columbia, July 16, 2011.
  • Funding Agency Policy and the Credibility Crisis in Computational Science,
  • AMP 2011, Reproducible Research: Tools and Strategies for Scientific Computing, Vancouver, British Columbia, July 15, 2011.
  • Scientific Practice Today and the Scientific Method: Responding to the Credibility Crisis, (YouTube video),
  • AMP 2011, Reproducible Research: Tools and Strategies for Scientific Computing, Vancouver, British Columbia, July 15, 2011.
  • Basics of Intellectual Property for Computational Scientists,
  • ICSA 2011 Applied Statistics Symposium, Law and Statistics, June 27, 2011.
  • How Technology is (Rapidly) Expanding the Scope of the Law in Statistics,
  • University of California at Riverside, Computer Science and Engineering Colloquia, May 16, 2011.
  • Tools for Academic Research: Resolving the Credibility Crisis in Computational Science,
  • Caltech Physics, Mathematics, and Astronomy's Physics Research Conference Series, May 12, 2011.
  • Technology and the Scientific Method: Tools and Policies for Addressing the Credibility Crisis in Computational Science,
  • Harvard University's Digital Scholarship Summit, May 5, 2011.
  • Framing Ideas for the Digital Future of Science,
  • National Science Board Expert Panel Discussion on Data Policy, Washington, DC, Mar 28, 2011.
  • Scientific Reproducibility: First Steps and Guiding Questions,
  • National Academies workshop on "The Future of Scientific Knowledge Discovery in Open Networked Environments," Washington, DC, Mar 10, 2011.
  • Facilitating Scientific Discovery in the Digital Age, (the transcript of the talk appears here)
  • SIAM Conference on Computational Science and Engineering, Mini-symposium on "Verifiable, Reproducible Research and Computational Science," Reno, NV, March 4, 2011.
  • Intellectual Contributions to Digitized Science: Implementing the Scientific Method,
  • AAAS Symposium "The Digitization of Science: Reproducibility and Interdisciplinary Knowledge Transfer," Washington, DC, February 19, 2011.
  • Policies for Scientific Integrity and Reproducibility: Data and Code Sharing,
  • UCLA Department of Statistics Seminar Series, January 25, 2011.
  • Intellectual Property and Computational Science,
  • Guest lecture in UCLA Department of Information Sciences, January 25, 2011.
  • Reproducibility in Computational Science: Framing the Concept,
  • 2010

    Princeton University, "Big Data: Public Policy and the Exploding Digital Corpus," November 30, 2010.
  • The Coming Dark Ages: Preserving our Scientific Knowledge, (video of my talk, starts at 49:10 to 1:16:34)
  • National Science Foundation Workshop "Changing the Conduct of Science in the Information Age," November 12, 2010.
  • Data Access: Digital Technology and Multiple Scientific Communities,
  • Remarks presented before The National Academies Committee on The Impact of Copyright Policy on Innovation in the Digital Era, Washington DC, Oct 15, 2010.
  • Remarks
  • IP Scholars Conference, UC Berkeley, CA, August 2010.
  • Why Copyleft isn't Right for Scientific Code, (audio of the talk - 12mins)
  • SciFOO, Google, Mountain View, CA, July 2010.
  • How Technology is Changing the Scientific Method
  • Open Science Summit, UC Berkeley, CA, July 2010.
  • Two Ideas for Open Science (forget Open Data!), (video of opening panel, video of my talk)
  • Colloquium at CERN, Geneva, Switzerland, July 2010.
  • Massive Data, the Digitization of Science, and Reproducibility of Results, (video or here),
  • ICML Workshop on Machine Learning Open Source Software, Keynote, Haifa, Israel, June 2010.
  • Reproducible Research in Computational Science: Problems and Solutions For Data and Code Sharing, (video)
  • Workshop on Algorithms for Modern Massive Datasets, Stanford University, Poster, June 2010.
  • The Scientific Method and Massive Data: Reproducibility of Results,
  • IASSIST 2010: Social Data and Social Networking, Cornell University, June 2010.
  • Reproducibility of Computational Results: Opening Code and Data,
  • Gov 2.0 Expo, Washington DC, May 2010
  • Opening Government Funded Knowledge Creation: Increasing Transparency and Scientific Integrity,
  • UC Berkeley School of Information Dean's Lecture, May 2010
  • The Digitization of Science and the Degradation of the Scientific Method (audio here),
  • UC Berkeley School of Information Guest Lecture, April 2010
  • Open Licensing and Scientific Reproducibility,
  • New England Statistics Symposium, Harvard University, April 2010
  • Chaired Session on Reproducibility: Scientific Integrity and Reproducibility: Data and Code Sharing,
  • The New Biology: Pathways to Convergence in the Life Sciences, MIT/Kauffman Seminar for Senior Congressional and Executive Branch Staff, April 2010.
  • Innovation and Openness in Science and the Exceptional Role of the Biological Sciences,
  • Columbia Statistics Departmental Seminar, March 2010.
  • Massive Computation and Statistics: Underdetermined Systems and Reproducibility,
  • Yale Statistics Departmental Seminar, March 2010.
  • Computational Research and the Scientific Method: A Third Branch?,
  • Acesso Livre a Informacao Cientifica, Creative Commons Portugal, February 2010.
  • Applying the Creative Commons Philosophy to Scientific Innovation,
  • Institute for Computational Engineering and the Sciences Seminar Series, UT Austin, February 2010.
  • Scientific Reproducibility and Software,
  • ScienceOnline2010, Research Triangle Park, North Carolina, January 16, 2010.
  • Intellectual Property Issues in Publishing, Sharing, and Blogging Science,
  • 2009

    Gerstein Lab Journal Club, Yale Bioinformatics, December 10, 2009.
  • From Bermuda to Toronto to New Haven: Data and Code Sharing in Bioinformatics,
  • Data and Code Sharing Roundtable, Yale Law School, November 21, 2009.
  • Data and Code Sharing in Computational Science,
  • Panel Discussant, Engaging Data Conference, MIT Senseable Lab, October 2009.
  • Video,
  • FOO Camp, Sebastopol, CA, August 2009 (I spoke from the slides, but never delivered them during the discussion)
  • Tools for Facilitating Code and Data Release in Scientific Research,
  • Ignite Talk @FOO Camp, Sebastopol, CA, August 2009 (5 minute talk, 20 slides that move forward automatically every 15 seconds)
  • Coding for Massive Computation in Science,
  • Intellectual Property Scholars Conference, Cardozo School of Law, New York City, August 2009
  • Legal Attribution and Academic Citation: Congruence of Licensing in Academic Research
  • Science 2.0, Software Carpentry, University of Toronto, July 2009:
  • How Computational Science is Changing the Scientific Method,
  • Video from Toronto talk (scroll down) (or download the .flv file directly here).
  • SciFOO 2009, GooglePlex, CA, July 2009
  • Reproducibility and Computational Science: The Real Story of Code and Data Sharing,
  • General video explaining SciFOO.
  • Communia Conference 2009: Global Science & Economics of Knowledge-Sharing Institutions, Torino, Italy, June 2009
  • The Reproducible Research Standard: Reducing Legal Barriers to Scientific Knowledge and Innovation,
  • Creative Commons Technology Summit, Torino, Italy, June 2009
  • Legal Attribution and Academic Citation: The Promise of Facilitated CC License Compliance,
  • International Open and User Innovation Workshop, Hamburg, Germany, June 2009
  • Opening the Black Box: Sharing in the 'Republic of Science',
  • International Communications Association (ICA), Chicago, May 2009
  • Openness and the Internet Explosion in Iran,
  • Scientific Software Days (Keynote), Texas Advanced Computing Center, University of Texas at Austin, May 2009
  • The Impact of Computational Science on the Scientific Method,
  • Workshop on Intellectual Property Law and Open and User Innovation, MIT, May 2009
  • Free Revealing in Computational Science,
  • 3rd IEEE/ACM International Conference on Information and Communication Technologies and Development, Doha, Qatar, April 2009
  • Global Information and Communication Technology and Democratic Tendency (ICTD09 scholarship recipient and nominated for best paper),
  • Press: Qatar Tribune
  • Berkman Luncheon Series, March 2009
  • The Future of Computational Science: Information Sharing and Reproducibility,
  • video
  • Neyman Seminar, Department of Statistics, UC Berkeley, February 2009
  • The Reproducible Research Standard: Legal Barriers to Practicing the Scientific Method in Computational Research,
  • Yale Information Society Project Lunch Series, Yale Law School, February 2009
  • The Reproducible Research Standard: Copyright and the Scientific Method,
  • 2008

    MIT Free Culture, MIT, October 2008
  • "Science" in the Computational Sciences,
  • MIT User and Open Innovation Workshop, MIT, August 2008
  • The Commons and Computational Science,
  • Impromptu Talk on Open Science and Licensing, SciFOO 2008, GooglePlex, CA, August 2008
  • Open Source Science-Open Source Licensing (video),
  • Berkman Center for Internet and Society, Internet and Democracy Conference, Budapest, June 2008
  • Internet Penetration and Measures of Democracy,
  • Microsoft Research Asia, Beijing, May 2008
  • Model Selection with Many More Variables than Observations,
  • Harvard-MIT-Yale Cyberscholars Working Group, Yale Law School, April 2008
  • Licensing in the Computational Sciences,
  • 2007

    Berkman Center for Internet and Society, Harvard Law School, December 2007
  • The Internet and Democracy: Problems and Ideas,
  • 2006

    IEEE International Joint Conference on Neural Networks at the World Congress on Computational Intelligence, July 2006
  • Breakdown Point of Model Selection when the Number of Variables Exceeds the Number of Observations,
  • Stanford Statistics Department Industrial Affiliates Conference, May 2006
  • Model Selection when the Number of Variables Exceeds the Number of Observations,
  • 2005

    Stanford Statistics Department Oral Exam Slides, August 2005
  • Sparsity in Underdetermined Systems,
  • 2004

    Stanford Center for Teaching and Learning, May 2004
  • The Midquarter Evaluation System in the Stanford Statistics Department,
  • 2003

    NIPS, Whistler, BC, Canada, December 2003
  • talk slides,
  • Poster,
  • Workshop Presentation.
  • Multidisciplinary University Research Initiative (MURI), Stanford University, January 2003
  • Multiresolution Representation of SO(3) Valued Data via Midpoint-Interpolating Refinement.
  • 2002

    Curves and Surfaces IV, Saint Malo, France, June 2002
  • Multiscale Representation of Symmetric Space Valued Data via Midpoint Interpolating Refinement.
  • Stanford Statistics Department Industrial Affiliates Conference, April 2002:
  • Interpolation and Multiresolution Analysis of Symmetric-Space Valued Data Indexed by a Euclidean Parameter.
  • 2001

    Joint IDR-IMA Workshop Ideal Data Representation, University of Minnesota, April 9-13, 2001.
  • Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter.