"A work of this magnitude and high quality will obviously be indispensable to anyone studying the history of Indianapolis and its region." -- The Journal of American History "... absorbing and accurate... Although it is a monument to Indianapolis, do not be fooled into thinking this tome is impersonal or boring. It's not. It's about people: interesting people. The Encyclopedia of Indianapolis is as engaging as a biography." -- Arts Indiana "... comprehensive and detailed... might well become the model for other such efforts." -- Library Journal With more than 1,600 separate entries and 300 illustrations, The Encyclopedia of Indianapolis is a model of what a modern city encyclopedia should be. From the city's inception through its remarkable transformation into a leading urban center, the history and people of Indianapolis are detailed in factual and intepretive articles on major topics including business, education, religion, social services, politics, ethnicity, sports, and culture.

Considering the interactions between developments in open data and data journalism, Data for Journalism: Between Transparency and Accountability offers an interdisciplinary account of this complex and uncertain relationship in a context of tightening the control over data and weighing transparency against privacy. As data has brought both promise and disruptive changes to societies, the relationship between transparency and accountability has become complicated, and data journalism is practised alongside the contradictory needs of opening up and protecting data. In addition to exploring the benefits of data for journalism, this book addresses the uncertain nature of data and the obstacles preventing data from being fluently accessed and properly used for data reporting. Because of these obstacles, it argues individual data journalists play a decisive role in using data for journalism and facilitating the circulation of data. Frictions in data access, newsrooms’ resources and cultures and data journalists’ skill and data literacy levels determine the degree to which journalism can benefit from data, and these factors potentially exacerbate digital inequalities between newsrooms in different countries and with different resources. As such, the author takes an international perspective, drawing on empirical research and cases from around the world, including countries such as the UK, the US, Germany, Sweden, Australia, India, China and Japan. Introducing a new dimension to the study of developments in journalism and the role of journalism in society, Data for Journalism will be of interest to academics and researchers in the fields of journalism and the sociology of (big and open) data.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have had a global impact, leading to a set of public health and social measures (PHSMs). These measures—such as hand hygiene, mask wearing, and social distancing—have affected people’s behavior and thus led to change in the transmission of infectious diseases. Studies of the impact of the opportunistic implementation of PHSMs on infectious diseases including respiratory virus infections during the Coronavirus Disease 2019 (COVID-19) pandemic have been reported. For example, seasonal influenza epidemics, sexual transmitted infections, and pediatric infectious diseases decreased significantly during the COVID-19 pandemic.