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Our Methods Fellows share their expertise in methods or practices relevant to DH research. They design and deliver a series of (currently online) workshop sessions and are active in the growing CDH community.


Learning Methods Fellows

Thomas Cowhitt

Before completing a PhD with the Faculty of Education at the University of Cambridge, Thomas was a secondary school teacher in the United States. He has always been interested in understanding large and complex human systems. Mixed Methods Social Network Analysis (MMSNA) provides him with a strategy for exploring intra- and inter-organizational structures in educational systems. Some of Thomas's published work has contributed to new methods for searching and analyzing large collections of literature. These new digital methods are especially relevant for individuals attempting to conduct systematic literature reviews. He also uses MMSNA to understand how collaborative improvement structures can facilitate or frustrate innovation expression originating with school-based practitioners.

Email: Thomas.Cowhitt@glasgow.ac.uk
Twitter: @SNAConnect
Website: www.EdNetResearch.com


Isabelle Higgins

Isabelle is a PhD candidate in the Sociology Department at the University of Cambridge. She holds an undergraduate degree in Sociology and Social Anthropology from the University of Cambridge, as well as an MPhil in the Sociology of Marginality and Exclusion from the Department of Sociology, University of Cambridge. Her current research, which she began as an undergraduate, focuses on the digital mediation of transnational and transracial adoption in the USA – with a specific focus on examining the ways in which intersectional inequalities are reproduced in digital environments. Prior to beginning her academic studies, Isabelle worked in the campaigns and policy sector with a number of national and international organisations. She focused on campaigns against intersectional inequalities experienced by children and young people, as well as holding roles that sought to challenge internal institutional inequality within organisations. She continues this commitment at the University of Cambridge in her teaching and facilitation work. Isabelle has received a number of academic awards, and in 2022 she will take up a research fellowship at the Kluge Center, Library of Congress, Washington DC.

Email: irth2@cam.ac.uk


Spencer Johnston

Spencer Johnston received a BA in Philosophy and Religious Studies from Tyndale University College (Toronto, Canada), an MSc in Logic from Universiteit van Amsterdam, and a PhD in Philosophy from the University of St Andrews. He was an Associate Lecturer in the Department of Philosophy at the University of York and then held a British Academy Postdoctoral Fellowship in the Faculty of Philosophy at the University of Cambridge. He is currently a College Teaching Associate and Director of Studies for Philosophy at Sidney Sussex College. 

Email: scj43@cam.ac.uk


Carleigh Morgan

Carleigh Morgan is a Trinity College Research Scholar, Fulbright Scholar (2013-2014) and first-generation PhD candidate in Film and Screen Studies at the University of Cambridge. Her doctoral thesis explores the relationship between cinematic labour and cinematic materiality through the lens of animated filmmaking, owing to its propensity for self-reflexive mediation—across a range of genres, mediums, and historical periods, animated films have often screened the labour of their own animation. Last year she organised an interdisciplinary reading group on reproductive justice with several of her postgraduate colleagues. In this second research life and as an advocate for social justice, she reflects on how neoliberal imaginaries frame popular debates around bodily autonomy: namely, by inscribing reproductive freedom within a set of proprietary relations that align personal agency with ownership of one’s body. She recently received Associate Fellow accreditation from the UK Higher Education Academy, having taught extensively at the university level both in the UK and abroad. 

Email: cnm32@cam.ac.uk


Susan Qu

Susan is a PhD student in Urban Studies, whose research interests lie in human–environment relationships. She has several years’ research and practice experience in urban planning/design, resilient/sustainable cities and health studies.

Her focus this year has been on digital tool development for education and learning, the potential of digital data and coding in research and exploring how to demonstrate data and results of studies more efficiently. 


Gabriel Recchia

Gabriel Recchia is a Research Associate at the University of Cambridge's Winton Centre for Risk and Evidence Communication, where he works on how to communicate information in ways that support comprehension and informed decision-making. He has also spent much of his career involved in research investigating the capabilities, properties, and applications of distributional models trained on large volumes of text, and has continued this while at the Winton Centre to explore their applications in characterizing how risk is communicated and perceived. Previously, he was at the Centre for Research in the Arts, Social Sciences and Humanities, where he developed distributional models for the analysis of large corpora of historical texts, and investigated conceptual change by attending to shifting statistical associations between words over time.

Email: glr29@cam.ac.uk


Itamar Shatz

Itamar Shatz is a PhD student at Cambridge's Linguistics department. His research examines the development and use of large-scale language datasets, and uses such datasets to investigate language learning and communication. Itamar also teaches a graduate course on quantitative methods for analysing language data. Itamar's interest is in how researchers in the digital humanities and computational social sciences can use large-scale language datasets and comprehensive statistical models to explore new directions in research and conduct analyses that are broader, more robust and more generalizable.

Outside of his research, Itamar engages in science communication, primarily via two websites: Effectiviology, where he writes about psychology and philosophy, and Solving Procrastination, where he writes about procrastination and how to overcome it.

Email: is442@cam.ac.uk

Website: https://itamarshatz.me/


Siddharth Soni

Siddharth Soni is the Isaac Newton Trust Research Fellow at CDH, and his work is largely within comparative literature and comparative cultural studies. He is currently writing a monograph on the anti-colonial Indian short story alongside working on the DH project World Short Story Index. His research and teaching within DH covers critical archive studies, literature as an archive, medium theory, and Indigenous and postcolonial digital humanities. He is the convenor of the ‘Digital Afterlives’ research network at CDH.

Email: ss2388@cam.ac.uk


Arild Stenberg

Arild's background combines experience as a composer and conductor with a more recent focus on research in music psychology and music cognition.  As a composer, he was always interested in the effect of notational choices on performance and had already started to explore how the design of a musical text affected practice and rehearsal.  After completing an MPhil in Musical Composition at the Faculty of Music (where he looked at recurrences and 'semantic' conventions in Handel's writing), and a PhD on the Legibility of Musical Scores, Arild is now collaborating with the Unité de Recherche en Neurosciences Cognitives, Université Lbre de Bruxelles, in a project that is implementing eye-tracking tests, and looking for neurophysiological and cognitive parallels between language reading and music reading.

Email: as446@cam.ac.uk


Data School Methods Fellows

Meng Liu

Meng Liu is a CSC-funded PhD student in Second Language Education at the Faculty of Education. Her substantive research interest lies at the intersection of Applied Linguistics and Educational Psychology. Specifically, her PhD project aims to understand Chinese students’ motivation to learn multiple foreign languages concurrently. She is the Chief Editor of Cambridge Educational Research e-Journal (2020/21), an open-access student-led journal attached to the Faculty of Education. Besides her PhD, Meng is also interested in research methods and is working towards a master’s degree in Social Science Data Analysis. She has received specialised training in a variety of methods ranging from Structural Equation Modelling to quantitative text analysis. She is also an advocate of open scholarship and a Data Champion at the University of Cambridge.

Email: ml858@cam.ac.uk


Tobias Lunde

Tobias Lunde is a PhD student in Economic History and a member of the Cambridge Group for the History of Population and Social Structure, and Fitzwilliam College. Before his PhD, Tobias studied for an MA and MSc in economics at the Heriot-Watt University and the University of Edinburgh respectively, focusing on economic history, econometrics and epistemological issues relating to how we study and understand society and the economy.

His thesis project is the first country-wide statistical study of the Scottish agricultural and industrial revolutions. It combines data from a wide range of quantitative and qualitative sources and introduces novel approaches to quantitative history to study the transformation of Scotland. This involves using a range of digital and statistical methods, from search indexing and extracting information from large text corpuses and digital cartography, to non/semi-parametric and spatial multivariate statistics and the systematic description and visualisation of large, complex datasets using geometric data analysis.

Email: tl452@cam.ac.uk


Research Software Engineer (RSE) Methods Fellow

Mahmoud Abdelrazek

Mahmoud is the database developer at Mapping Africa's Endangered Archaeological Sites and Monuments (MAEASaM) project and a data champion at the University of Cambridge Research Data Management. He holds a master’s degree from UCL in spatiotemporal analytics and big data mining. Mahmoud's work experience covers data analytics in the fields of social media, traffic, urban development, health, asset management and computer vision amongst others. He is also an active member of the future leaders connect network. 

Email: mma77@cam.ac.uk

GitHub, ORCID, twitter  
 


 

Past CDH Methods Fellows

2020/21

 

2019/20