Open Research: Rethinking Scientific Collaboration
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talks
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Collection NumberC18005
Displaying 25 - 36 of 916
Format results
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Data Mists, Blockchain Republics, and the Moon Shot
Simon DeDeo Indiana University
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Like penguins on an ice floe: The scary business of adopting open science practices
Benedikt Fecher Alexander von Humboldt-Stiftung
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Collaborative Knowledge Ratchets and Fermat's Library
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Jess Riedel NTT Research
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Luis Batalha Fermat's Library
PIRSA:18030101 -
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What’s not to like? Open science will fail unless it takes the costs seriously
Rosie Redfield University of British Columbia
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PSI 2016/2017 - Quantum Field Theory III (Gomis)
15 talks-Collection NumberC17004Talk
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PSI 2016/2017 - Quantum Field Theory III - Lecture 1
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 2
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 3
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 4
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 5
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 6
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 7
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Quantum Field Theory III - Lecture 8
Jaume Gomis Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Condensed Matter (Dalidovich)
5 talks-Collection NumberC16026Talk
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PSI 2016/2017 - Mathematica (Schnetter)
4 talks-Collection NumberC16025Talk
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PSI 2016/2017 - Mathematica - Lecture 1
Erik Schnetter Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Mathematica - Lecture 3
Erik Schnetter Perimeter Institute for Theoretical Physics
PIRSA:16090039 -
PSI 2016/2017 - Mathematica - Lecture 4
Erik Schnetter Perimeter Institute for Theoretical Physics
PIRSA:16090040
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PSI 2016/2017 - Functions, "Functions", etc. (Wohns)
7 talks-Collection NumberC16023Talk
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PSI 2016/2017 - Functions, "Functions", etc. - Lecture 1
Dan Wohns Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Complex Analysis (Ali)
4 talks-Collection NumberC16020Talk
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PSI 2016/2017 - Complex Analysis - Lecture 1
Tibra Ali Perimeter Institute for Theoretical Physics
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PSI 2016/2017 - Classical Mechanics (Kubiznak)
7 talks-Collection NumberC16021Talk
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PSI 2016/2017 - Classical Mechanics - Lecture 1
David Kubiznak Charles University
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Lecture - Scientific Machine Learning, PHYS 777
Mohammad Kohandel -
Decodable and Unlearnable Phases and Transitions
Timothy Hsieh Perimeter Institute for Theoretical Physics
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Lecture - Scientific Machine Learning, PHYS 777
Mohammad Kohandel -
A Brief Introduction to Gravitational-Wave Tests of GR
Sercan Hüsnügil Perimeter Institute
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Lecture - Scientific Machine Learning, PHYS 777
Mohammad Kohandel
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Open Research: Rethinking Scientific Collaboration
11 talks-Collection NumberC18005Scientific inquiry in the 21st century is beset with inefficiencies: a flood of papers not read theories not tested and experiments not repeated; a narrow research agenda driven by a handful of high-impact journals; a publishing industry that turns public funding into private profit; the exclusion of many scientists particularly in developing countries from cutting-edge research; and countless projects that are not completed for lack of skilled collaborators. These are all symptoms of a major communication bottleneck within the scientific community; the channels we rely on to share our ideas and findings especially peer-reviewed journal articles and conference proceedings are inadequate to the scale and scope of modern science. The practice of open research doing science on a public platform that facilitates collaboration feedback and the spread of ideas addresses these concerns. Open-source science lowers barriers to entry catalyzing new discoveries. It fosters the real-time sharing of ideas across the globe favoring cooperative endeavor and complementarity of thought rather than wasteful competition. It reduces the influence of publishing monopolies enabling a new credit attribution model based on contributions made rather than references accrued. Overall it democratizes science while creating a new standard of prestige: quality of work instead of quantity of output. This workshop will bring together a diverse group of researchers from fields as diverse as physics biology computer science and sociology committed to open-source science. Together we will review the lessons learnt from various pioneering initiatives such as the Polymath project and Data for Democracy. We will discuss the opportunity to build a new tool similar to the software development platform GitHub to enable online collaborative science. We will consider the challenges associated with the adoption of such a tool by our peers and discuss ways to overcome them. Finally we will sketch a roadmap for the actual development of that tool.
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PSI 2016/2017 - Quantum Field Theory III (Gomis)
15 talks-Collection NumberC17004PSI 2016/2017 - Quantum Field Theory III (Gomis) -
PSI 2016/2017 - Condensed Matter (Dalidovich)
5 talks-Collection NumberC16026PSI 2016/2017 - Condensed Matter (Dalidovich) -
PSI 2016/2017 - Mathematica (Schnetter)
4 talks-Collection NumberC16025PSI 2016/2017 - Mathematica (Schnetter) -
PSI 2016/2017 - Functions, "Functions", etc. (Wohns)
7 talks-Collection NumberC16023PSI 2016/2017 - Functions, "Functions", etc. (Wohns) -
PSI 2016/2017 - Complex Analysis (Ali)
4 talks-Collection NumberC16020PSI 2016/2017 - Complex Analysis (Ali) -
PSI 2016/2017 - Classical Mechanics (Kubiznak)
7 talks-Collection NumberC16021PSI 2016/2017 - Classical Mechanics (Kubiznak) -
Lecture - Scientific Machine Learning, PHYS 777
Mohammad Kohandel -
Decodable and Unlearnable Phases and Transitions
Timothy Hsieh Perimeter Institute for Theoretical Physics
Physics has been driven by the discovery of novel phases of matter, largely in materials. Recently, the advent of both quantum error correction and machine learning, viewed as physical phenomena, has compelled us to revisit the notion of a phase itself. I will show how decodable/undecodable regimes of codes constitute distinct phases in a precise sense, and they furnish machine unlearnable/learnable phases of data. I will demonstrate how conditional mutual information (CMI) serves as an essential quantity in characterizing the corresponding phases and transitions and thus provides a new diagnostic for both error correction thresholds and machine learnability of quantum and classical systems, including real-world data.
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Lecture - Scientific Machine Learning, PHYS 777
Mohammad Kohandel -
A Brief Introduction to Gravitational-Wave Tests of GR
Sercan Hüsnügil Perimeter Institute
In this broad-audience talk, I will discuss the basics of gravitational wave theory and the major achievements in the field following the direct observation of the first gravitational wave signal in 2015. Then, I will discuss how gravitational wave data are used to test the validity of general relativity and motivate my current research on the subject.
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Lecture - Scientific Machine Learning, PHYS 777
Mohammad Kohandel