METASCIENCE AS a SCIENTIFIC SOCIAL MOVEMENT David Peterson Aaron Panofsky UCLA
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Arxiv:2102.03380V2 [Cs.AI] 29 Jun 2021
Reproducibility in Evolutionary Computation MANUEL LÓPEZ-IBÁÑEZ, University of Málaga, Spain JUERGEN BRANKE, University of Warwick, UK LUÍS PAQUETE, University of Coimbra, CISUC, Department of Informatics Engineering, Portugal Experimental studies are prevalent in Evolutionary Computation (EC), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields. In this article, we discuss, within the context of EC, the different types of reproducibility and suggest a classification that refines the badge system of the Association of Computing Machinery (ACM) adopted by ACM Transactions on Evolutionary Learning and Optimization (https://dlnext.acm.org/journal/telo). We identify cultural and technical obstacles to reproducibility in the EC field. Finally, we provide guidelines and suggest tools that may help to overcome some of these reproducibility obstacles. Additional Key Words and Phrases: Evolutionary Computation, Reproducibility, Empirical study, Benchmarking 1 INTRODUCTION As in many other fields of Computer Science, most of the published research in Evolutionary Computation (EC) relies on experiments to justify their conclusions. The ability of reaching similar conclusions by repeating an experiment performed by other researchers is the only way a research community can reach a consensus on an empirical claim until a mathematical proof is discovered. From an engineering perspective, the assumption that experimental findings hold under similar conditions is essential for making sound decisions and predicting their outcomes when tackling a real-world problem. The “reproducibility crisis” refers to the realisation that many experimental findings described in peer-reviewed scientific publications cannot be reproduced, because e.g. they lack the necessary data, they lack enough details to repeat the experiment or repeating the experiment leads to different conclusions. -
Scientometrics1
Scientometrics1 Loet Leydesdorff a and Staša Milojević b a Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, 1012 CX Amsterdam, The Netherlands; [email protected] b School of Informatics and Computing, Indiana University, Bloomington 47405-1901, United States; [email protected]. Abstract The paper provides an overview of the field of scientometrics, that is: the study of science, technology, and innovation from a quantitative perspective. We cover major historical milestones in the development of this specialism from the 1960s to today and discuss its relationship with the sociology of scientific knowledge, the library and information sciences, and science policy issues such as indicator development. The disciplinary organization of scientometrics is analyzed both conceptually and empirically. A state-of-the-art review of five major research threads is provided. Keywords: scientometrics, bibliometrics, citation, indicator, impact, library, science policy, research management, sociology of science, science studies, mapping, visualization Cross References: Communication: Electronic Networks and Publications; History of Science; Libraries; Networks, Social; Merton, Robert K.; Peer Review and Quality Control; Science and Technology, Social Study of: Computers and Information Technology; Science and Technology Studies: Experts and Expertise; Social network algorithms and software; Statistical Models for Social Networks, Overview; 1 Forthcoming in: Micheal Lynch (Editor), International -
Oecd Work on S&T Indicators and the Interest In
OECD WORK ON S&T INDICATORS AND THE INTEREST IN SCIENTOMETRICS OECD – Experts dialogue, 25 March 2014 Fernando Galindo-Rueda Economic Analysis and Statistics Division OECD Directorate for Science, Technology and Industry The OECD context • International organisation. – “Better policies for better lives”. – 34 member countries, broader engagement – Secretary General, Council of Ambassadors, Secretariat and thematic Committees and working parties which oversee work • Types of outputs – Policy recommendations – Standards, rules, … – Policy relevant evidence and statistics, often co- produced with countries’ authorities – Policy analysis, qualitative and quantitative Background on S&T indicator work • Work on S&T indicators dating back to 1960s – Formalisation of guidelines on measuring R&D efforts (expenditure and personnel): • The Frascati Manual, 1963 – being revised for 6th time • Collection and dissemination of data: – Extended to work on human resources for S&T, technology balance of payments, innovation in firms, patents, … • Measurement work at OECD focused on data sources “controlled” by public authorities participating in OECD fora – Brief interest in mid 1990s in bibliometrics – “methods” working paper but no guidelines. Scientometrics at OECD • Since 2010, increasing use of bibliometric indicators in OECD flagship publications on S&T – For example, see hyperlinks in agenda. • Microdata-based approach promoted in 2010 OECD Innovation Strategy. – Promotion of microdata use and linking within countries. Approach of cross-country co-ordinated analyses. – In-house use of microdata under license (Elsevier) within OECD Micro-Data Lab. • As part of building a broader, linked microdata infrastructure. • OECD MDL brings together different administrative and public data sources. • Collaborations with external organisations – NISTEP, Scimago, MCT-Brazil and JSTA. -
Scientometric Analysis of Research in Energy Efficiency and Citizen
sustainability Article Scientometric Analysis of Research in Energy Efficiency and Citizen Science through Projects and Publications Daniela De Filippo 1,2,* , María Luisa Lascurain 1,2, Andres Pandiella-Dominique 1 and Elias Sanz-Casado 1,2 1 INAECU Research Institute for Higher Education and Science (UC3M-UAM), Calle Madrid 126, 28903 Getafe, Spain; [email protected] (M.L.L.); [email protected] (A.P.-D.); [email protected] (E.S.-C.) 2 Department of Library and Information Sciences, Carlos III University of Madrid, Calle Madrid 126, 28903 Getafe, Spain * Correspondence: dfi[email protected] Received: 20 March 2020; Accepted: 23 June 2020; Published: 24 June 2020 Abstract: Energy efficiency is part of the commitment to environmental sustainability made by the organizations that promote and finance research and by the researchers that make this field their subject of study. Although there is growing interest in the subject, it is worth asking whether the research has been approached considering citizens’ needs or citizens’ participation. The main objective of this study is to analyse whether energy efficiency research has adopted a citizen science perspective. Using scientometric methods, the SCOPUS and CORDIS databases were consulted and a document search strategy was developed to gather information on publications and projects. The analysis revealed that, out of 265 projects under the Seventh Framework Programme on Energy Efficiency, only seven (3%) were related to citizen science. Although there is a large volume of publications on energy efficiency (over 200,000) and a considerable number of publications on citizen science (>30,000 articles), only 336 documents were identified that deal with both topics. -
An Analysis of Citizen Science Based Research: Usage and Publication Patterns
RESEARCH ARTICLE An Analysis of Citizen Science Based Research: Usage and Publication Patterns Ria Follett*, Vladimir Strezov Department of Environmental Sciences, Macquarie University, North Ryde, NSW, Australia * [email protected] Abstract The use of citizen science for scientific discovery relies on the acceptance of this method by the scientific community. Using the Web of Science and Scopus as the source of peer reviewed articles, an analysis of all published articles on “citizen science” confirmed its growth, and found that significant research on methodology and validation techniques pre- ceded the rapid rise of the publications on research outcomes based on citizen science methods. Of considerable interest is the growing number of studies relying on the re-use of collected datasets from past citizen science research projects, which used data from either individual or multiple citizen science projects for new discoveries, such as for climate change research. The extent to which citizen science has been used in scientific discovery OPEN ACCESS demonstrates its importance as a research approach. This broad analysis of peer reviewed Citation: Follett R, Strezov V (2015) An Analysis of papers on citizen science, that included not only citizen science projects, but the theory and Citizen Science Based Research: Usage and methods developed to underpin the research, highlights the breadth and depth of the citizen Publication Patterns. PLoS ONE 10(11): e0143687. science approach and encourages cross-fertilization between the different disciplines. doi:10.1371/journal.pone.0143687 Editor: Stefano Goffredo, University of Bologna, ITALY Received: March 5, 2015 Introduction Accepted: November 9, 2015 Public involvement in scientific discovery can be tracked through recorded history [1] with the Published: November 23, 2015 earliest records dating back 1,910 years for locust outbreaks in China [2]. -
PDF Download Starting with Science Strategies for Introducing Young Children to Inquiry 1St Edition Ebook
STARTING WITH SCIENCE STRATEGIES FOR INTRODUCING YOUNG CHILDREN TO INQUIRY 1ST EDITION PDF, EPUB, EBOOK Marcia Talhelm Edson | 9781571108074 | | | | | Starting with Science Strategies for Introducing Young Children to Inquiry 1st edition PDF Book The presentation of the material is as good as the material utilizing star trek analogies, ancient wisdom and literature and so much more. Using Multivariate Statistics. Michael Gramling examines the impact of policy on practice in early childhood education. Part of a series on. Schauble and colleagues , for example, found that fifth grade students designed better experiments after instruction about the purpose of experimentation. For example, some suggest that learning about NoS enables children to understand the tentative and developmental NoS and science as a human activity, which makes science more interesting for children to learn Abd-El-Khalick a ; Driver et al. Research on teaching and learning of nature of science. The authors begin with theory in a cultural context as a foundation. What makes professional development effective? Frequently, the term NoS is utilised when considering matters about science. This book is a documentary account of a young intern who worked in the Reggio system in Italy and how she brought this pedagogy home to her school in St. Taking Science to School answers such questions as:. The content of the inquiries in science in the professional development programme was based on the different strands of the primary science curriculum, namely Living Things, Energy and Forces, Materials and Environmental Awareness and Care DES Exit interview. Begin to address the necessity of understanding other usually peer positions before they can discuss or comment on those positions. -
1 Psychology As a Robust Science Dr Amy Orben Lent Term 2020 When
Psychology as a Robust Science Dr Amy Orben Lent Term 2020 When: Lent Term 2020; Wednesdays 2-4pm (Weeks 0-6; 15.1.2020 – 26.2.2020), Mondays 2-4pm (Week 7; 2.3.2020) Where: Lecture Theatre, Experimental Psychology Department, Downing Site Summary: Is psychology a robust science? To answer such a question, this course will encourage you to think critically about how psychological research is conducted and how conclusions are drawn. To enable you to truly understand how psychology functions as a science, however, this course will also need to discuss how psychologists are incentivised, how they publish and how their beliefs influence the inferences they make. By engaging with such issues, this course will probe and challenge the basic features and functions of our discipline. We will uncover multiple methodological, statistical and systematic issues that could impair the robustness of scientific claims we encounter every day. We will discuss the controversy around psychology and the replicability of its results, while learning about new initiatives that are currently reinventing the basic foundations of our field. The course will equip you with some of the basic tools necessary to conduct robust psychological research fit for the 21st century. The course will be based on a mix of set readings, class discussions and lectures. Readings will include a diverse range of journal articles, reviews, editorials, blog posts, newspaper articles, commentaries, podcasts, videos, and tweets. No exams or papers will be set; but come along with a critical eye and a willingness to discuss some difficult and controversial issues. Core readings • Chris Chambers (2017). -
Ois Laruelle
Frans;ois Laruelle --- and collaborators --- Dictio nary of Non-Philosophy -- translated by Taylor Adkins I Univocal -- Fran\:ois Laruelle ------ and collaborators ----- To ny Brachet. Gilbert Kieffer, Laurent Leroy, Da niel Nicolet, Anne-Fran�oise Schmid, Serge Valdinoci Dictio nary of Non-Philosophy translated by Taylor Adkins I Univocal ---- DJCT!ONNAIREDE LA NON-PHILOSOPH!Eby Fran�ois Laruelle ©Editions Kime, 1998 Translated by Taylor Adkins as Dictionary ofNon-Philosophy First Edition Minneapolis©2013, Univocal Publishing Published by Univocal 123 North 3rd Street, #202 Minneapolis, MN 55401 No part of this book may be reproduced or transmitted in any form or by any means, electronic or mechanical, including phorocopying, recording or any other information storage or retrieval system, without prior permission in writing from the publisher. Thanks to John David Ebert and Ben Woodard Designed & Printed by Jason Wagner Distributed by the University of Minnesota Press ISBN 9781937561130 Library of Congress Control Number 2013939530 TA BLE OF CONTENTS Translator's Introduction .......................................... .....................9 Preface to the English Language Edition...................... ................. 15 Preface .........................................................................................19 Theory of the Non-Philosophical Dictionary....................... .......23 Auto-position .......................... .....................................................39 Being-in-One (Being-according-to-the-One)............................... -
Promoting an Open Research Culture
Promoting an open research culture Brian Nosek University of Virginia -- Center for Open Science http://briannosek.com/ -- http://cos.io/ The McGurk Effect Ba Ba? Da Da? Ga Ga? McGurk & MacDonald, 1976, Nature Adelson, 1995 Adelson, 1995 Norms Counternorms Communality Secrecy Open sharing Closed Norms Counternorms Communality Secrecy Open sharing Closed Universalism Particularlism Evaluate research on own merit Evaluate research by reputation Norms Counternorms Communality Secrecy Open sharing Closed Universalism Particularlism Evaluate research on own merit Evaluate research by reputation Disinterestedness Self-interestedness Motivated by knowledge and discovery Treat science as a competition Norms Counternorms Communality Secrecy Open sharing Closed Universalism Particularlism Evaluate research on own merit Evaluate research by reputation Disinterestedness Self-interestedness Motivated by knowledge and discovery Treat science as a competition Organized skepticism Organized dogmatism Consider all new evidence, even Invest career promoting one’s own against one’s prior work theories, findings Norms Counternorms Communality Secrecy Open sharing Closed Universalism Particularlism Evaluate research on own merit Evaluate research by reputation Disinterestedness Self-interestedness Motivated by knowledge and discovery Treat science as a competition Organized skepticism Organized dogmatism Consider all new evidence, even Invest career promoting one’s own against one’s prior work theories, findings Quality Quantity Anderson, Martinson, & DeVries, -
Empiricism, Stances, and the Problem of Voluntarism
Swarthmore College Works Philosophy Faculty Works Philosophy 1-1-2011 Empiricism, Stances, And The Problem Of Voluntarism Peter Baumann Swarthmore College, [email protected] Follow this and additional works at: https://works.swarthmore.edu/fac-philosophy Part of the Philosophy Commons Let us know how access to these works benefits ouy Recommended Citation Peter Baumann. (2011). "Empiricism, Stances, And The Problem Of Voluntarism". Synthese. Volume 178, Issue 1. 27-36. DOI: 10.1007/s11229-009-9519-7 https://works.swarthmore.edu/fac-philosophy/13 This work is brought to you for free by Swarthmore College Libraries' Works. It has been accepted for inclusion in Philosophy Faculty Works by an authorized administrator of Works. For more information, please contact [email protected]. Empiricism, Stances and the Problem of Voluntarism Peter Baumann Synthese 178, 2011, 207-224 Empiricism can be very roughly characterized as the view that our knowledge about the world is based on sensory experience. Our knowledge about the world is "based" on sensory experience in the sense that we could not know what we know without relying on sense experience. This leaves open the possibility that sense experience is only necessary but not sufficient for the knowledge based upon it1-as long as the non-empirical elements are not themselves sufficient for the relevant piece of knowledge.2 The basing relation is not just a genetic one but also a justificatory one: Sense experience does not only lead to beliefs which happen to count as knowledge but also qualifies them as knowledge. In his important book The Empirical Stance Bas van Fraassen characterizes traditional empiricism at one point in a more negative way-as involving the rejection of "metaphysical" explanations which proceed by postulating the existence of something not 1 "But although all our cognition commences with experience, yet it does not on that account all arise from experience." (Kant, CpR, B1). -
Reply by Jean Bricmont and Alan Sokal
Reply to Turnbull Krips Dusek and Fuller For Metascience Jean Bricmont Institut de Physique Theorique Universite Catholique de Louvain chemin du Cyclotron B LouvainlaNeuve BELGIUM Internet BRICMONTFYMAUCLACBE Telephone Fax Alan Sokal Department of Physics New York University Washington Place New York NY USA Internet SOKALNYUEDU Telephone Fax February Biographical Note Jean Bricmont is professor of theoretical physics at the University of Louvain Belgium Alan Sokal is professor of physics at New York University Introduction 1 In the preface to the second edition of Intel lectual Impostures we wrote that the criticisms of our b o ok can b e divided roughly into four types A very few reviewers discuss what we wrote and try to refute it Other commentators raise ob jections often p erfectly valid ones to ideas that are not in fact ours and that we may have expressly rejected in the b o ok while attributing them to us implicitly or explicitly Yet a third group of critics pretend to discuss our b o ok while actually doing something completely dierent for example attacking our p ersonalities our alleged motivations for writing the b o ok or the failings of scientists in general And nally some reviewers agree with us but think that we do not go far enough I I p xv The comments by Turnbull and Dusek fall squarely into the second and third cat egories apart from o ccasional brief excursions into category while Krips and Fuller oer a mixture of the rst and second categories It would b e a hop eless task to address al l the issues -
Hop://Cos.Io/ Brian Nosek University of Virginia Hop://Briannosek.Com
hp://cos.io/ Brian Nosek University of Virginia h"p://briannosek.com/ General Article Psychological Science XX(X) 1 –8 False-Positive Psychology: Undisclosed © The Author(s) 2011 Reprints and permission: sagepub.com/journalsPermissions.nav Flexibility in Data Collection and Analysis DOI: 10.1177/0956797611417632 Allows Presenting Anything as Significant http://pss.sagepub.com Joseph P. Simmons1, Leif D. Nelson2, and Uri Simonsohn1 1The Wharton School, University of Pennsylvania, and 2Haas School of Business, University of California, Berkeley Abstract In this article, we accomplish two things. First, we show that despite empirical psychologists’ nominal endorsement of a low rate of false-positive findings (≤ .05), flexibility in data collection, analysis, and reporting dramatically increases actual false-positive rates. In many cases, a researcher is more likely to falsely find evidence that an effect exists than to correctly find evidence that it does not. We present computer simulations and a pair of actual experiments that demonstrate how unacceptably easy it is to accumulate (and report) statistically significant evidence for a false hypothesis. Second, we suggest a simple, low-cost, and straightforwardly effective disclosure-based solution to this problem. The solution involves six concrete requirements for authors and four guidelines for reviewers, all of which impose a minimal burden on the publication process. Keywords methodology, motivated reasoning, publication, disclosure Received 3/17/11; Revision accepted 5/23/11 Our job as scientists is to discover truths about the world. We Which control variables should be considered? Should spe- generate hypotheses, collect data, and examine whether or not cific measures be combined or transformed or both? the data are consistent with those hypotheses.