Web Science and Digital Libraries Research Group

Data, Data Everywhere   Data is all around us and comes in many forms. Statistical, descriptive, discrete, encoded, decoded, geocoded, qualitative, quantitative, quantum 🤯! Wow, there's a lot! Data, often statistical, forms the bedrock for informed decision making within scientific, political, academic, and economic fields to name a few. Public figures and publications have even gone so far as to coin data as "the new oil". The wellspring of data being generated and mined during the COVID-19 pandemic further espouses this idea of data as oil. During the Coronavirus pandemic we saw an explosion in interest and data generated from policy makers in government, scientists across the world, and even citizen scientists using tools such as Folding@Home . The National Institute for Health alone lists 36 different COVID-19 related datasets with a further 28 listed on the World Bank's website . Fig 1. World Health Organization: Coronavirus dashboard   From China...

The 2019 Artificial Intelligence for Data Discovery and Reuse conference , supported by the National Science Foundation , was held in Carnegie Mellon University , Pittsburg, PA, between May 13 and May 15, 2019. It is called a conference, but it is more like a workshop. There are only plenary meetings (and a small session of posters) and the presentations are not all about frontiers of research. Many of them are research reviews and the speakers are trying to connect them with "data reuse". The presenters are in various domains, from text mining to computer vision, from medical imaging to self-driving cars, etc. Another difference from regular CS conferences in that the accepted presenter list is made only based on the abstracts they submitted. The full papers are submitted later.  Because CiteSeerX collects a lot of data from the Web, our group does a lot of work on information extraction, classification, and reuses a lot of data for training AI models, Dr. Lee Giles re...