Dr Valentin Danchev

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Email
valentin.danchev@essex.ac.uk -
Telephone
+44 (0) 1206 873440
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Location
6.352, Colchester Campus
Profile
Biography
Valentin is a Lecturer in Computational Social Science in the Department of Sociology at the University of Essex. His research leverages large datasets and methods from computational social science, social data science, and network analysis to study diverse social phenomena such as transparency and reproducibility of scientific research, human mobility, global migration, inequality, and digital-health interventions. Valentin's background is interdisciplinary and has involved collaborations across sciences. He completed his DPhil in Development Studies at the University of Oxford where he studied global migration and network science, and was also affiliated with the networks research group at the Mathematical Institute. Prior to joining Essex in 2020, he held postdoctoral positions at the Stanford University School of Medicine and, before that, at the University of Chicago. He is a strong supporter of open and reproducible research practices. He has a special interest in designing data-sharing interventions and socio-technological infrastructures to incentivise open research and data-driven discovery at scale. As a social data science educator, Valentin strives to enable open, inclusive, and collaborative learning, and to bring ethics, computing, machine learning, causal inference, and data to bear on critical societal issues.
Qualifications
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DPhil Development Studies University of Oxford, (2015)
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MA Sociological Research University of Essex, (2010)
Appointments
University of Essex
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Lecturer, Department of Sociology, University of Essex (1/7/2020 - present)
Research and professional activities
Research interests
Social Data Science
Computational Social Science
Social Networks
Open and Reproducible Science
Data and Society
Human Mobility
Global Migration
Social Inequality
Digital Health Interventions
Open Data
Conferences and presentations
Building Responsible Data Science Workflows: Transparency, Reproducibility, and Ethics by Design
PyData Global 2021, 28/10/2021
Teaching and supervision
Current teaching responsibilities
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Researching Social Life I (SC101)
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Social Data Science: Code, Text and Networks (SC207)
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Models and Measurement in Quantitative Sociology (SC385)
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Quantitative Research Project (SC830)
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Research Project: Sociology (SC831)
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Research Project: Anthropology (SC832)
Publications
Journal articles (6)
Danchev, V., Min, Y., Borghi, J., Baiocchi, M. and Ioannidis, JPA., (2021). Evaluation of Data Sharing After Implementation of the International Committee of Medical Journal Editors Data Sharing Statement Requirement.. Jama Network Open. 4 (1), e2033972-e2033972
Naudet, F., Siebert, M., Pellen, C., Gaba, J., Axfors, C., Cristea, I., Danchev, V., Mansmann, U., Ohmann, C., Wallach, JD., Moher, D. and Ioannidis, JPA., (2021). Medical journal requirements for clinical trial data sharing: Ripe for improvement. PLOS Medicine. 18 (10), e1003844-e1003844
Hardwicke, TE., Serghiou, S., Janiaud, P., Danchev, V., Crüwell, S., Goodman, SN. and Ioannidis, JPA., (2020). Calibrating the Scientific Ecosystem Through Meta-Research. Annual Review of Statistics and Its Application. 7 (1), 11-37
Janiaud, P., Axfors, C., van't Hooft, J., Saccilotto, R., Agarwal, A., Appenzeller-Herzog, C., Contopoulos-Ioannidis, DG., Danchev, V., Dirnagl, U., Ewald, H., Gartlehner, G., Goodman, SN., Haber, NA., Ioannidis, AD., Ioannidis, JPA., Lythgoe, MP., Ma, W., Macleod, M., Malički, M., Meerpohl, JJ., Min, Y., Moher, D., Nagavci, B., Naudet, F., Pauli-Magnus, C., O'Sullivan, JW., Riedel, N., Roth, JA., Sauermann, M., Schandelmaier, S., Schmitt, AM., Speich, B., Williamson, PR. and Hemkens, LG., (2020). The worldwide clinical trial research response to the COVID-19 pandemic - the first 100 days. F1000Research. 9, 1193-1193
Danchev, V., Rzhetsky, A. and Evans, JA., (2019). Centralized scientific communities are less likely to generate replicable results. eLife. 8
Danchev, V. and Porter, MA., (2018). Neither global nor local: Heterogeneous connectivity in spatial network structures of world migration. Social Networks. 53, 4-19
Book chapters (1)
Danchev, V. and Porter, M., (2021). Migration networks: applications of network analysis to macroscale migration patterns. In: Research Handbook on International Migration and Digital Technology. Editors: McAuliffe, M., . Edward Elgar Publishing. 1839100605. 9781839100604
Contact
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