WORKSHOP: New Frontiers for Data Analytics in Economic and Business History Research | GloCoBank Annual Workshop (2)
Early-Career Researcher Workshop: New Frontiers for Data Analytics in Economic and Business History Research
A GloCoBank Project Event | 25-26 May 2023 | St Hilda's College | University of Oxford
Read workshop report
The ERC-funded 'Global Correspondent Banking 1870-2000' (GloCoBank) project at the University of Oxford will host a workshop for early-career researchers to explore novel approaches to data creation and data analytics in economic, financial and business history.
The workshop aims to explore the crossroads between data scientists, economic historians and geographers, and business researchers in the fields of international economic, business, and financial relations. The workshop is also open to multi-disciplinary applications of large-scale data analytics.
Recent advances in data analytics open up new opportunities for business and economic research. Archival sources can now be digitalised at a larger scale and over longer time spans, for both structured and unstructured data. New analytical techniques can unlock comparative analysis of cross-border financial flows at multiple levels and reconstruct strategic behaviour of actors within complex financial networks.
This workshop will connect early-career researchers endeavouring to advance the frontiers of future research within their core disciplines and set a new vision for data analytics in historical research. We look forward to building a research community to inspire collaboration between disciplines.
Programme
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Day 1: Thursday, May 25 |
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09:00 - 09:20 |
Arrival and registration |
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09:20 - 09:30 |
Welcoming address |
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Session 1: Digitalisation, automated georeferencing, and big data workflows |
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09:30 - 11:00 |
Josef Lilljegren (University of Groningen) Zir - A GUI software for supervised, structured OCR of printed source material. |
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Giovanni Maria Pala (University of Oxford) |
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11:00 - 11:30 |
Tea & coffee break |
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11:30 - 13:00 |
Giulia Occhini (University of Bristol), Emmanouil Tranos (The Alan Turing Institute), and Rui Zhou (University of Bristol) Unlocking the Common Crawl to learn about innovative economic activities over space and time. |
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Michael Hödl (University of Vienna) |
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13:00 - 14:00 |
Lunch |
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Session 2: Text-mining and machine learning for economic and banking time-series |
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14:00 - 15:30 |
Jules H. van Binsbergen (Wharton and NBER), Svetlana Bryzgalova (London Business School and CEPR), Mayukh Mukhopadhyay (London Business School), and Varun Sharma (Nanyang Business School) |
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Petr Sterba (Prague University of Economics and Business) Media image of correspondent banking in the US (1990-2022): An NLP-based analysis. |
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15:30 - 16:00 |
Tea & coffee break |
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16:00 - 17:30 |
Ricardo Salas Diaz (University of Massachusetts) |
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Jerry Jiang (UC Berkeley), Jacob P. Weber (UC Berkeley) |
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18:30 |
Workshop Dinner (by invitation) - networking and continuing discussion of workshop and project research themes, future directions and opportunities for collaboration |
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Day 2: Friday, May 26 |
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Session 3: Merging databases for financial modelling |
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09:30 - 11:00 |
Brecht Rogissart (European University Institute) |
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Johan Poukens (University of Antwerp and State Archives of Belgium) |
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11:00 - 11:30 |
Tea & coffee break |
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Session 4: Visualising social networks for large-scale digitised sources |
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11:30 - 13:00 |
Sebastian Lowe (University of Oxford) |
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Brian Tsz Ho Wong (University of Edinburgh) |
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13:00 - 13:30 |
Closing remarks & discussions |
Organiser contact: Alena Pivavarava at alena.pivavarava@history.ox.ac.uk