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<p>This OSF project website serves as a hub for disseminating material for the "Improving your science" professional development workshop series at the Annual Meeting of the Society for Neuroscience. </p> <p>This page has materials from the 2017 and 2018 workshops and for a brief presentation made at the 2019 meeeting. The 2020 workshop is now in development. If you have suggestions for speakers/topics, tweet them @TheNewStats.</p> <h3>2019 Presentation</h3> <p>The 2019 presentation was on the scourge of indadequate samples, given in a workshop PDW on reproducibile neuroscience.<br> <em> Slides are <a href="https://osf.io/skbwn/" rel="nofollow">here</a> </em> Remarks are <a href="https://osf.io/zsvnh/" rel="nofollow">here</a> * <strong>Wiki page with tons of resources on sample-size planning is <a href="https://osf.io/5awp4/wiki/Sample%20Size%20Planning%20for%20Neuroscientists/" rel="nofollow">here</a></strong></p> <h3>2018 Workshop</h3> <p>The 2018 workshop was held on November 3rd, 2018. </p> <p>Materials are posted to this website and linked below.</p> <p>Speakers/Topics include: <em> The estimation approach to data analysis, Bob Calin-Jageman.<br> * Slides are <a href="https://osf.io/e6kn8/" rel="nofollow">here</a> * Remarks are <a href="https://osf.io/ax97y/" rel="nofollow">here</a> * Wiki page with links is <a href="https://osf.io/5awp4/wiki/Estimation%20%28New%20Stats%29%20for%20Neuroscience/" rel="nofollow">here</a>. </em> Tools for reproducibile research, Brian Wandell. * Slides are <a href="https://osf.io/ma6wx/" rel="nofollow">here</a>. * Reporting for rigor and reproducibility with at <em>Journal of Neuroscience</em> (Marina Picciotto) * Slides from <em>JNeuro</em> are <a href="https://osf.io/kh7dt/" rel="nofollow">here</a>. * New initiatives for R&R at <em>eNeuro</em>, Christophe Bernard.<br> * Slides from <em>eNeuro</em> are <a href="https://osf.io/jpfq6/" rel="nofollow">here</a>.</p> <h4>2018 Presenters</h4> <ul> <li><a href="https://medicine.yale.edu/bbs/people/marina_picciotto.profile" rel="nofollow">Marina Picciotto</a> is the editor of the <em>Journal of Neuroscience</em>. She holds the Charles B. G. Murphy Chair in Psychiatry and appointments in Neuroscience and Pharmacology at Yale University. She is also the Deputy Director of the Kavli Institute for Neuroscience.</li> <li><a href="http://ins.univ-amu.fr/research-teams/team-member/c.bernard/" rel="nofollow">Christophe Bernard</a> is the editor of <em>eNeuro</em>. He is academic appointment is at the Institut de Neurosciences des Systèmes, Aix-Marseille Université.</li> <li><a href="https://web.stanford.edu/group/vista/cgi-bin/wandell/" rel="nofollow">Brian Wandell</a> is the “chief evangelist” for the Center for Reproducible Neuroscience at Stanford University. He helped found Flywheel (<a href="https://flywheel.io" rel="nofollow">https://flywheel.io</a>) which has developed a platform for a scalable and reproducible imaging-analysis workflow.</li> <li>Bob Calin-Jageman is a professor of psychology and neuroscience program director at <a href="http://www.dom.edu/" rel="nofollow">Dominican University</a>. </li> </ul> <h3>2017 Workshop</h3> <p>The first "Improving your science" workshop was offered at the <a href="http://www.sfn.org/annual-meeting/neuroscience-2017" rel="nofollow">2017 meeting of the Society for Neuroscience</a>. </p> <p>The goal of the workshop was to provide a crash-course in 3 best-practices for rigorous and reproducibile neuroscience research. </p> <p>The specific topics were: <em> <a href="https://osf.io/5awp4/wiki/Sample%20Size%20Planning%20for%20Neuroscientists/" rel="nofollow">Sample size planning</a> (<a href="http://www.dom.edu/departments/neuroscience/faculty/robert-calin-jageman" rel="nofollow">Bob Calin-Jageman</a>, Dominican University) * <a href="https://osf.io/37gek/" rel="nofollow">Talk</a> (link to recording <a href="http://bit.ly/sfnprereg" rel="nofollow">http://bit.ly/sfnprereg</a>) * <a href="https://osf.io/ufzax/" rel="nofollow">Remarks</a> * <a href="https://osf.io/5awp4/wiki/Sample%20Size%20Planning%20for%20Neuroscientists/" rel="nofollow">Wiki page and resources</a> </em> <a href="https://osf.io/5awp4/wiki/Pre-registration%20for%20Neuroscientists/" rel="nofollow">Pre-registration</a> (<a href="https://osf.io/qthsf" rel="nofollow">David Mellor</a>, Center for Open Science) * <a href="https://osf.io/uxstq/download" rel="nofollow">Talk</a> * <a href="https://osf.io/5awp4/wiki/Pre-registration%20for%20Neuroscientists/" rel="nofollow">Wiki page and resources</a> * Reproducible analyses (<a href="https://www.haverford.edu/users/rball" rel="nofollow">Richard Ball</a>, Haverford College) * <a href="https://osf.io/ncyf9/download" rel="nofollow">Talk</a></p> <h4>2017 Presenters</h4> <ul> <li>Bob Calin-Jageman is a professor of psychology and neuroscience program director at <a href="http://www.dom.edu/" rel="nofollow">Dominican Universit</a>y. He is the co-author of <em><a href="https://www.routledge.com/Introduction-to-the-New-Statistics-Estimation-Open-Science-and-Beyond/Cumming-Calin-Jageman/p/book/9781138825529" rel="nofollow">Introduction to the New Statistics</a></em>, an undergraduate statistics textbook that emphasizes estimation and Open Science. His blog is <a href="https://thenewstatistics.com/" rel="nofollow">thenewstatistics.org</a>. Bob's main research interest is in the neurobiology of learning and memory--his lab website it <a href="https://calin-jageman.net/" rel="nofollow">here</a>.</li> <li>David Mellor is a project manager at the <a href="https://cos.io" rel="nofollow">Center for Open Science</a> and works on <a href="https://cos.io/badges" rel="nofollow">incentive</a> programs and <a href="https://cos.io/top" rel="nofollow">policies for publishers and funders</a> to increase transparency and reproducibility in the process of science. He received his PhD in Ecology and Evolution from Rutgers University and has a background in behavioral ecology and citizen science. Find him on the <a href="https://osf.io/qthsf" rel="nofollow">OSF</a>. </li> <li><a href="https://www.haverford.edu/users/rball" rel="nofollow">Richard Ball</a> is a professor of economics at <a href="https://www.haverford.edu" rel="nofollow">Haverford College</a>. He is a co-founder of <a href="http://www.projecttier.org/" rel="nofollow">project TIER</a>, which provides tools for reproducible data analysis. </li> </ul>
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