|
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
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