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MemberJenny R. Kreiger

…te in Museum Studies, University of Michigan, 2013

BA in Classical Studies (summa cum laude), Randolph-Macon Woman’s College, 2008

I’ve also done a bunch of courses on DataCamp, and in August I’ll be starting the full-time Data Science Bootcamp at Flatiron School….

I’m an archaeologist moving into the world of data science. Areas of expertise: project management; collaborative scholarship; Roman archaeology and art history; Latin epigraphy; museums; grantmaking.

MemberSantiago Ortiz

…Historian – Pontificia Universidad Javeriana

Data Science Specialist – Microsoft / Datacamp

Master GIS – Universitat Politécnica de Valencia…

I´m a historian interested in Digital Humanities and focused in nineteenth century history of Colombia. My research encompasses the study of coleccionism and documental archives formed by intelectual elites in South America from a data science perspective that includes Natural Language Processing, Network analysis, Machine Learning, Spatial analysis and geocoding and deep neuralnetworks to automatically transcribe images of personal letters between collectors and contributors.

MemberChun-Kai Huang

Chun-Kai (Karl) Huang is Research Fellow at Curtin University and is a member of the Curtin Open Knowledge Initiative (COKI) project team. His current research focuses on developing and identifying models and methods for exploring differences, patterns and correlations in bibliometric variables and bibliographic data sources. In particular, he is interested in how innovative statistical methods and large scale data science can help map the open science landscape. Karl is a mathematical statistician by training and also has a track record of publications in probability, statistics and financial risk modelling. He was previously Lecturer at University of Cape Town and University of KwaZulu-Natal.

MemberMaria Antoniak

I’m a researcher and data scientist working in natural language processing. I’m interested in modeling how people express their subjective experiences through text, especially in the contexts of healthcare and the humanities, usually in the setting of online communities. I rely on unsupervised machine learning methods, and I re-explore the evaluation of these methods when applied to small, topic-focused datasets. My past work has examined how postpartum people frame their birth experiences, how people communicate their pain levels to physicians, and how the use of word embedding models require additional stability tests when used to measure biases. I’m currently a PhD candidate in Information Science at Cornell University, where I’m advised by David Mimno. I have a master’s degree in Computational Linguistics from the University of Washington and have worked as a data scientist and research intern at places like Microsoft Research, Facebook Core Data Science, and Pacific Northwest National Laboratory. Please check my personal website for more information!

MemberEnrico Pasini

Full professor, History of Philosophy, at the University of Turin, Dept. of Philosophy and Education Sciences. I jointly teach History of science. I am also faculty of the Modeling and Data Science Ph.D. Programme in Turin. I am currently on a 4-years leave from Turin as Director at the Istituto per il Lessico Intellettuale Europeo e la Storia delle Idee (ILIESI/CNR, Rome: http://www.iliesi.cnr.it). A fairly updated English-language CV can be found at http://www.fmod.it/unito/epasini. A longer, Italian-language CV can be found at https://www.dfe.unito.it/persone/epasini.

MemberCraig Eby

I’m the CTO for Cogniva Information Solutions. I’m currently responsible for ensuring the implementation of our vision for our flagship software product C3, along with our business modelling methodology. We have built a quality research network supporting this effort, including professors and graduate students from a number of disciplines, culminating in the creation of the Cogniva Information Research Institute (http://cognivaresearch.org).

My professional experience is a mix of pure research and the design and implementation of medium to large scale software solutions. My research has primarily dealt with integrating the mathematical representation of concepts and business processes to improve enterprise information management. I have a strong interest in a number of fields, including data science, text analytics, NLP, nonlinear dynamics, computational modelling, complex systems, graph theory and knowledge representation.

MemberMartijn Kleppe

Martijn Kleppe is Head of the Research Department of the National Library of the Netherlands (KB). Trained as historian, he wrote a dissertation on photographic iconic images by building and applying computational techniques. Before moving to the KB, he was a researcher in several European Digital Humanities research projects that focused on opening up (audio) visual and textual archives by using techniques from the National Language Processing Domain, speech recognition and computer vision. At the KB, he now leads the Research Department that covers topics such as digital preservation, copyright, public library research, Data Science, and improving the usability and discoverability of digital content by applying AI techniques. He actively sets up research projects and consortia to stimulate the use of the digital collections of the KB and to implement the results within the organization in order for the general public to get better, richer and more innovative access to the national cultural treasures.