The Challenges and Prospects of the Intersection of Humanities and Data Science: a White Paper from the Alan Turing Institute the Alan Turing Institute
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On Becoming a Pragmatic Researcher: the Importance of Combining Quantitative and Qualitative Research Methodologies
DOCUMENT RESUME ED 482 462 TM 035 389 AUTHOR Onwuegbuzie, Anthony J.; Leech, Nancy L. TITLE On Becoming a Pragmatic Researcher: The Importance of Combining Quantitative and Qualitative Research Methodologies. PUB DATE 2003-11-00 NOTE 25p.; Paper presented at the Annual Meeting of the Mid-South Educational Research Association (Biloxi, MS, November 5-7, 2003). PUB TYPE Reports Descriptive (141) Speeches/Meeting Papers (150) EDRS PRICE EDRS Price MF01/PCO2 Plus Postage. DESCRIPTORS *Pragmatics; *Qualitative Research; *Research Methodology; *Researchers ABSTRACT The last 100 years have witnessed a fervent debate in the United States about quantitative and qualitative research paradigms. Unfortunately, this has led to a great divide between quantitative and qualitative researchers, who often view themselves in competition with each other. Clearly, this polarization has promoted purists, i.e., researchers who restrict themselves exclusively to either quantitative or qualitative research methods. Mono-method research is the biggest threat to the advancement of the social sciences. As long as researchers stay polarized in research they cannot expect stakeholders who rely on their research findings to take their work seriously. The purpose of this paper is to explore how the debate between quantitative and qualitative is divisive, and thus counterproductive for advancing the social and behavioral science field. This paper advocates that all graduate students learn to use and appreciate both quantitative and qualitative research. In so doing, students will develop into what is termed "pragmatic researchers." (Contains 41 references.) (Author/SLD) Reproductions supplied by EDRS are the best that can be made from the original document. On Becoming a Pragmatic Researcher 1 Running head: ON BECOMING A PRAGMATIC RESEARCHER U.S. -
Annual Report 2018–19
Annual report 2018–19 2018 –19 Annual Report 2018–19 Part 1 Our year 3 Part 2 Trustees’ and strategic report 74 Part 3 Financial statements 84 Our year 1.1 Chair’s foreword 1.2 Institute Director and Chief Executive’s foreword 1 1.3 Outputs, impact and equalities 1.4 Turing trends and statistics 1.5 Research mapping: Linking research, people and activities 3 Creating real world impact We have had yet another year of rapid growth Since 2016, researchers at the Institute have produced and remarkable progress. over 200 publications in leading journals and demonstrated early impacts with great potential. Some of the impacts The Alan Turing Institute is a multidisciplinary institute are captured in this annual report and we are excited to formed through partnerships with some of the UK’s see the translation of our data science and AI research leading universities. This innovative approach gives us into a real-world context. access to expertise and skills in data science and AI that is unparalleled outside of a handful of large tech platforms. We are witnessing a massive growth of data science Our substantial convening power enables us to work and AI. We are also seeing important challenges and across the economy: with large corporations, the public breakthroughs in many areas including safe and ethical sector including government departments, charitable AI, quantum computing, urban transport, defence, foundations and small businesses. These collaborations manufacturing, health and financial services. Across cut across disciplines and break through institutional the Institute we are leading the public conversation in boundaries. -
Introduction
1 Introduction he field of public health has never been as widely known or popular as T in recent years. On a global scale, the spread of HIV/AIDS beginning in the 1980s gave public health enormous impetus and visibility. Much like infectious diseases from earlier eras, HIV/AIDS was deeply enmeshed in environmental and behavioral contexts. If left unaddressed, the disease promised to engulf large portions of the world’s population. Yet today’s most enduring and pervasive public health problems are far more mundane, e.g., poor sanitation and water quality, malnutrition, and the everyday violence of grinding poverty. The 20th-century reign of the germ theory of disease etiology, with its emphasis on curing over preven- tion and laboratories over communities, has been tempered by these real- ities and by the vast increase in chronic diseases such as hypertension, diabetes, and cancer. Similarly, the dominance of quantification, in which ever-more sophisticated measures and statistics are expected to capture the full range of human experience, has given way to a more nuanced and thoughtful matching of methods with the problem at hand as well as with the people and places experiencing it (Baum, 1996; Rapkin & Trickett, 2005). Enter Qualitative Methods A colleague once astutely remarked that virtually anyone can read and appreciate qualitative research—its narrative reporting style makes it appear easy to carry out. By comparison, a quantitative study relies on complicated 1 2 QUALITATIVE AND MIXED METHODS IN PUBLIC HEALTH statistical analyses that require prior knowledge to decode their meaning. Yet the appealing end product of a qualitative study represents the culmi- nation of intense involvement and intellectual labor. -
STEM Education Centre E-Bulletin: March 2014
STEM Education Centre E-bulletin: March 2014 Welcome to the March e-bulletin from the University of Birmingham’s STEM Education Centre. It is designed to provide you with information about STEM-related events, resources, news and updates that may be of interest to you and your colleagues. STEM Policy and Practice News Budget 2014: Alan Turing Institute to lead big data research A £42m Alan Turing Institute is to be founded to ensure that Britain leads the way in big data and algorithm research, George Osborne has announced. Drawing on the name of the British mathematician who led code-breaking work at Bletchley Park during the World War II, the institute is intended to help British companies by bringing together expertise and experience in tackling problems requiring huge computational power. Turing’s work led to the cracking of the German "Enigma" codes, which used highly compl ex encryption, is believed to have saved hundreds or even thousands of lives. He later formed a number of theories that underpin modern computing, and formalised the idea of algorithms – sequences of instructions – for a computer. This announcement marks further official rehabilitation of a scientist who many see as having been treated badly by the British government after his work during the war. Turing, who was gay, was convicted of indecency in March 1952, and lost his security clearance with GCHQ, the successor to Bletchley Park. He killed himself in June 1954. Only after a series of public campaigns was he given an official pardon by the UK government in December 2013. Public Attitudes to Science (PAS) 2014 Public Attitudes to Science (PAS) 2014 is the fifth in a series of studies looking at attitudes to science, scientists and science policy among the UK public. -
The Role of Qualitative Research in Science Education
Eurasia Journal of Mathematics, Science & Technology Education, 2010, 6(1), 77-84 The Role of Qualitative Research in Science Education Iztok Devetak, Saša A. Glažar and Janez Vogrinc University of Ljubljana, Ljubljana, SLOVENIA Received 22 October 2008; accepted 21 January 2009 In the paper the qualitative research in which the researcher has been directly involved, and has himself been examining the research phenomenon in the studied environment, is presented. The aim of this qualitative study is to gather data in the form of rich content– based descriptions of people, events, and situations by using different, especially non– structural, techniques to discover the stakeholders’ views and similar, to orally analyze the gathered data, and finally to interpret the findings in the form of a concept or contextually dependent grounded theory. The main purpose of the paper is to identify research approaches used by authors who have published in respected international science education journals in the last three years. It can be concluded from the results that authors have been using qualitative and mixed research approaches in more than half of the published papers in the last three years in order to address the research questions in their studies. Keywords: Qualitative research, Science education, Document analysis, Journal analysis. INTRODUCTION should also give some clear answers or - in other words - should have a clear »take home« message (Bunce, Authors who publish papers in respected science 2008). education research journals always try to make some Research problems and research questions provide efforts to bridge the gap between science education an important guideline for the researcher in selecting the research results and conclusions and their applications appropriate research methodology or methods designs: in the educational process at all levels of education. -
A Decade in Digital Humanities
Journal of Siberian Federal University. Humanities & Social Sciences 7 (2016 9) 1637-1650 ~ ~ ~ УДК 009:004.9 A Decade in Digital Humanities Melissa Terras* University College London London, UK Received 15.02.2016, received in revised form 07.05.2016, accepted 09.06.2016 The paper reviews the meaning and development of digital humanities giving the ex-amples of work published in various DH areas. The paper discusses what using these technologies means for the humanities, giving recommendations that can be useful across the sector. Keywords: digital humanities, UCL Centre for Digital Humanities, Innovation Curve. DOI: 10.17516/1997-1370-2016-9-7-1637-1650. Research area: culture studies. I decided to call my paper “A Decade in paper gives me a rare chance to pause and look Digital Humanities” for three reasons: behind me to see what the body of work built up 1. The term Digital Humanities has been over this time represents. commonly used to describe the application 3. You’ll have to wait for later in the paper to of computational methods in the arts and see the third reason... humanities for 10 years, since the publication, in Who here would be comfortable defining 2004, of the Companion to Digital Humanities1. what is meant by the term Digital Humanities3? “Digital Humanities” was quickly picked up by This paper is also related to the week of UCL the academic community as a catch-all, big tent2 Festival of the Arts, celebrating all things to name for a range of activities in computing, the do with the Arts and Humanities at my home arts, and culture. -
Automating Data Science: Prospects and Challenges
Final m/s version of paper accepted (April 2021) for publication in Communications of the ACM. Please cite the journal version when it is published; this will contain the final version of the figures. Automating Data Science: Prospects and Challenges Tijl De Bie Luc De Raedt IDLab – Dept. of Electronics and Information Systems Dept. of Computer Science AASS Ghent University KU Leuven Örebro University Belgium Belgium Sweden José Hernández-Orallo Holger H. Hoos vrAIn LIACS Universitat Politècnica de València Universiteit Leiden Spain The Netherlands Padhraic Smyth Christopher K. I. Williams Department of Computer Science School of Informatics Alan Turing Institute University of California, Irvine University of Edinburgh London USA United Kingdom United Kingdom May 13, 2021 Given the complexity of typical data science projects and the associated demand for human expertise, automation has the potential to transform the data science process. Key insights arXiv:2105.05699v1 [cs.DB] 12 May 2021 • Automation in data science aims to facilitate and transform the work of data scientists, not to replace them. • Important parts of data science are already being automated, especially in the modeling stages, where techniques such as automated machine learning (Au- toML) are gaining traction. • Other aspects are harder to automate, not only because of technological chal- lenges, but because open-ended and context-dependent tasks require human in- teraction. 1 Introduction Data science covers the full spectrum of deriving insight from data, from initial data gathering and interpretation, via processing and engineering of data, and exploration and modeling, to eventually producing novel insights and decision support systems. Data science can be viewed as overlapping or broader in scope than other data-analytic methodological disciplines, such as statistics, machine learning, databases, or visualization [10]. -
Alan Turing Institute Symposium on Reproducibility for Data-Intensive Research – FINAL REPORT Page | 1 Lucie C
Alan Turing Institute Symposium on Reproducibility for Data-Intensive Research – FINAL REPORT Page | 1 Lucie C. Burgess, David Crotty, David de Roure, Jeremy Gibbons, Carole Goble, Paolo Missier, Richard Mortier, 21 July 2016 Thomas E. Nichols, Richard O’Beirne Dickson Poon China Centre, St. Hugh’s College, University of Oxford, 6th and 7th April 2016 ALAN TURING INSTITUTE SYMPOSIUM ON REPRODUCIBILITY FOR DATA-INTENSIVE RESEARCH – FINAL REPORT AUTHORS Lucie C. Burgess1, David Crotty2, David de Roure1, Jeremy Gibbons1, Carole Goble3, Paolo Missier4, Richard Mortier5, Thomas E. Nichols6, Richard O’Beirne2 1. University of Oxford 2. Oxford University Press 3. University of Manchester 4. Newcastle University 5. University of Cambridge 6. University of Warwick TABLE OF CONTENTS 1. Symposium overview – p.2 1.1 Objectives 1.2 Citing this report 1.3 Organising committee 1.4 Format 1.5 Delegates 1.6 Funding 2. Executive summary – p.4 2.1 What is reproducibility and why is it important? 2.2 Summary of recommendations 3. Data provenance to support reproducibility – p.7 4. Computational models and simulations – p.10 5. Reproducibility for real-time big data – p.13 6. Publication of data-intensive research – p.16 7. Novel architectures and infrastructure to support reproducibility – p.19 8. References - p.22 Annex A – Symposium programme and biographies for the organising committee and speakers Annex B – Delegate list ACKNOWLEDGEMENTS The Organising Committee would like to thanks the speakers, session chairs and delegates to the symposium, and in particular all those who wrote notes during the sessions and provided feedback on the report. This report is available online at: https://osf.io/bcef5/ (report and supplementary materials) https://dx.doi.org/10.6084/m9.figshare.3487382 (report only) Alan Turing Institute Symposium on Reproducibility for Data-Intensive Research – FINAL REPORT Page | 2 Lucie C. -
Book of Abstracts
The Association for Literary and Lingustic Computing The Association for Computers and the Humanities Society for Digital Humanities — Société pour l’étude des médias interactifs Digital Humanities 2008 The 20th Joint International Conference of the Association for Literary and Linguistic Computing, and the Association for Computers and the Humanities and The 1st Joint International Conference of the Association for Literary and Linguistic Computing, the Association for Computers and the Humanities, and the Society for Digital Humanities — Société pour l’étude des médias interactifs University of Oulu, Finland 24 – 29 June, 2008 Conference Abstracts International Programme Committee • Espen Ore, National Library of Norway, Chair • Jean Anderson, University of Glasgow, UK • John Nerbonne, University of Groningen, The Netherlands • Stephen Ramsay, University of Nebraska, USA • Thomas Rommel, International Univ. Bremen, Germany • Susan Schreibman, University of Maryland, USA • Paul Spence, King’s College London, UK • Melissa Terras, University College London, UK • Claire Warwick, University College London, UK, Vice Chair Local organizers • Lisa Lena Opas-Hänninen, English Philology • Riikka Mikkola, English Philology • Mikko Jokelainen, English Philology • Ilkka Juuso, Electrical and Information Engineering • Toni Saranpää, English Philology • Tapio Seppänen, Electrical and Information Engineering • Raili Saarela, Congress Services Edited by • Lisa Lena Opas-Hänninen • Mikko Jokelainen • Ilkka Juuso • Tapio Seppänen ISBN: 978-951-42-8838-8 Published by English Philology University of Oulu Cover design: Ilkka Juuso, University of Oulu © 2008 University of Oulu and the authors. _____________________________________________________________________________Digital Humanities 2008 Introduction On behalf of the local organizers I am delighted to welcome you to the 25th Joint International Conference of the Association for Literary and Linguistic Computing (ALLC) and the Association for Computers and the Humanities (ACH) at the University of Oulu. -
The Stuff We Forget: Digital Humanities, Digital Data, and the Academic Cycle
The Stuff we Forget: Digital Humanities, Digital Data, and the Academic Cycle Professor Melissa Terras Director, UCL Centre for Digital Humanities [email protected], @melissaterras Vindolanda Texts • Roman Fort on Hadrian’s Wall, England • Texts from AD 92 onwards • Two types – ink texts • Carbon ink on wood. 300 texts survive – stylus tablets • recessed centre filled with wax. 100 texts Close up - Tablet 1563 .Complex incisions .Woodgrain .Surface discolouration .Warping .Cracking .Noisy image .Palimpsest .Long process Image processing: illumination correction Original image After illumination correction Image processing: woodgrain removal -1 Original image After woodgrain removal With thanks to Dr Segolene Tarte, eSAD project, OeRC 1996 - 2008 http://www.collective.co.uk/thrones/htm/index.htm http://wwwcdn.actian.com/wp-content/uploads/2014/02/data_icon1.png Jeremy Bentham (1748-1832) •Jurist, philosopher, and legal and social reformer •Leading theorist in Anglo-American philosophy of law •Influenced the development of welfarism •Advocated utilitarianism •Animal rights, •Work on the “panopticon” •Not founder of UCL, but... •60,000 folios in UCL Sp. Collections •40,000 untranscribed •Auto-icon Baked apple pudding 61/2 per peck. Apples 1 peck 3d peasemeal 12lb 1/2d malt dust 1/2 3/4d milk 1 quart 2d water - D0 - treacle — — — 1 2 eggs — — 1 labour - 1 91/4 Boil & mash the apples stir in the malt dust & treacle, press the mass into a pan; boil the meal, milk & water together till thick, add the eggs and the remainder of JB/107/110/002: -
The Problem of Moral Statements in Historical Writing
Montclair State University Montclair State University Digital Commons Theses, Dissertations and Culminating Projects 5-2012 The rP oblem of Moral Statements in Historical Writing Alexandra Katherine Perry Montclair State University Follow this and additional works at: https://digitalcommons.montclair.edu/etd Part of the Education Commons, and the History Commons Recommended Citation Perry, Alexandra Katherine, "The rP oblem of Moral Statements in Historical Writing" (2012). Theses, Dissertations and Culminating Projects. 20. https://digitalcommons.montclair.edu/etd/20 This Dissertation is brought to you for free and open access by Montclair State University Digital Commons. It has been accepted for inclusion in Theses, Dissertations and Culminating Projects by an authorized administrator of Montclair State University Digital Commons. For more information, please contact [email protected]. THE PROBLEM OF MORAL STATEMENTS IN HISTORICAL WRITING A DISSERTATION Submitted to the Faculty of Montclair State University in partial fulfillment of the requirements for the degree of Doctor of Education by ALEXANDRA KATHERINE PERRY Montclair State University Upper Montclair, NJ 2012 Dissertation Chair: Dr. Jaime Grinberg Copyright © 2012 by Alexandra Katherine Perry. All rights reserved. ABSTRACT THE PROBLEM OF MORAL STATEMENTS IN HISTORICAL WRITING by Alexandra Katherine Perry Bernard Williams (1985) begins his skeptical look at the history of ethical theory with a reminder of where it began, with Socrates’ question, "how should one live?" (pg. 1). This question is relevant to historians, who ask a similar question, “how did people live?” in their own work, To wonder “how one should live” or to make statements about the ways in which people have lived is to rely on the work of historians. -
CV Adilet Otemissov
CV Adilet Otemissov RESEARCH INTERESTS Global Optimization; Stochastic Methods for Optimisation; Random Matrices EDUCATION DPhil (PhD) in Mathematics 2016{2021 University of Oxford The Alan Turing Institute, the UK's national institute for data science and AI - Thesis title: Dimensionality reduction techniques for global optimization (supervised by Dr Coralia Cartis) MSc in Applied Mathematics with Industrial Modelling 2015{2016 University of Manchester - Thesis title: Matrix Completion and Euclidean Distance Matrices (supervised by Dr Martin Lotz) BSc in Mathematics 2011{2015 Nazarbayev University AWARDS & ACHIEVEMENTS - SEDA Professional Development Framework Supporting Learning award for successfully completing Developing Learning and Teaching course; more details can be found on https://www.seda.ac.uk/supporting-learning, 2020 - The Alan Turing Doctoral Studentship: highly competitive full PhD funding, providing also a vibrant interdisciplinary research environment at the Institute in London, as well as extensive training in the state-of-the-art data science subjects from world's leading researchers, 2016{2020 - NAG MSc student prize in Applied Mathematics with Industrial Modelling for achieving the highest overall mark in the numerical analysis course units in my cohort at the University of Manchester, 2016 PUBLICATIONS - C. Cartis, E. Massart, and A. Otemissov. Applications of conic integral geometry in global optimization. 2021. Research completed, in preparation - C. Cartis, E. Massart, and A. Otemissov. Constrained global optimization of functions with low effective dimensionality using multiple random embeddings. ArXiv e-prints, page arXiv:2009.10446, 2020. Manuscript (41 pages) submitted for publication in Mathematical Programming. Got back from the first round of reviewing - C. Cartis and A. Otemissov. A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality.