What could be learnt about the world if you could read the news from over 100 local newspapers for a period of 150 years? This is what a team of Artificial Intelligence (AI) researchers from the University of Bristol have done, together with a social scientist and a historian, who had access to 150 years of British regional newspapers.
The patterns that emerged from the automated analysis of 35 million articles ranged from the detection of major events, to the subtle variations in gender bias across the decades. The study has investigated transitions such as the uptake of new technologies and even new political ideas, in a new way that is more like genomic studies than traditional historical investigation.
The team of academics, led by Professor Nello Cristianini, collaborated closely with the company findmypast, who is digitising historical newspapers from the British Library as part of their British Newspaper Archive project.
Imagine research librarians as equal partners in the research process, helping a researcher in any discipline to map existing knowledge gaps, identify emerging disciplinary crossovers before they even happen, and assist in the formulation and refinement of frontier research questions.
Imagine a librarian armed with the digital tools to automate literature reviews for any discipline, by reducing thousands of articles’ ideas into memes and then applying network analysis to visualise trends in emerging lines of research.
What if your research librarian could then dig deeper and use an ami-2word plug-in to map in which sections of articles your key research terms appear? Imagine the results confirmed that your favourite research term almost never appears in the results sections, but cluster only around introductions and perspectives.
La muerte de Zigmunt Bauman nos permite reflexionar con las muchas ideas que nos ha dejado a todos en herencia. En estos tiempos que vivimos no es muy normal encontrarse con personas que encarnen lucidez, inteligencia, visión y entendimiento.
Bauman era un referente en todas ellas. Nos ayudó a entender que hemos entrado en una fase de la historia mucho más rápida que nos obliga a una adaptación constante a un ritmo nunca visto. Se han roto las redes relacionales clásicas de la familia extensa, la comunidad, el barrio, la parroquia... nos hemos quedado solos ante el peligro. Jamás habíamos sido mas vulnerables y a la par más poderosos. Al estar solos podemos correr más deprisa. Sin embargo dependemos de todos los demás, de personas que no conocemos y cuyo vínculo por lo tanto no podemos sentir.
A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.
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