The data and methodologies available to social scientists have exploded with the emergence of vast archives of passive data collection, large scale online experimentation, and innovative uses of simulation.
This is the third in a series of three symposia that discuss societal challenges in computational social sciences. In 2019, the focus will be on Polarization and Radicalization.
Taking place in Berlin, the third summer school of this series will focus on methods for analyzing multimedia data.
IC2S2 brings together researchers in computational science, complexity, and social science, and provides a platform for new work in the field of computational social science.
This talk will present and demonstrate the potential for a new type of digital tool powered by AI - creativity support to augment your imagination.
Jonathan Schwabish, senior fellow in the Income and Benefits Policy Center at the Urban Institute, presents observations about current approaches to animating data, and how analysts and researchers can use these approaches in their own work.
The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media.
Data for Policy is a premier global forum for interdisciplinary and cross-sector discussions around the impact and potentials of the digital revolution in the government sector.
The conference is multi-disciplinary and focuses on methodological innovation in a wide range of fields including sociology, economics, criminology, health and geography.
Hear from Chanuki Illushka Seresinhe, a data science researcher at the Alan Turing Institute and Lead Data Scientist at Popsa, as she discusses her research utilizing online data and applying machine learning and artificial intelligence techniques to images of urban locations in order to explore which visual features of the environment might impact the wellbeing of city residents.
Preconferences for ICA's 2019 Annual Conference will be held from Thursday, 23 May to Friday, 24 May 2019.
How did automatic speech recognition lay the ground for contemporary computational knowledge practices? Xiaochang Li presents a public talk at KCL’s Department of Digital Humanities.
This training event will introduce a mix of methodologies and provide an overview of free-to-use and commercial software for the analysis of social media data.
Data Science for Everyone - Big Data and 'R': opportunities and challenges for social science research
Join SAGE Ocean at the Institute of Coding at Northumbria University for an introductory session on data science, big data and programming with R.
Women in Social Science brings together academics from across the social sciences to consider the challenges women have faced over the past five decades and to celebrate their achievements. Convened by Academy of Social Sciences/Campaign for Social Science and NatCen, speakers include both ‘senior’ women whose careers span much of this period and ‘early career’ academics.
Turing lecture: Tackling the challenges of Intelligence analysis with workplace productivity software
This presentation will discuss a new type of productivity app which gathers data about an intelligence employee’s computer usage.
Dr. Andreea Moldovan, Research Fellow at the University of Exeter, will introduce you to the wonderful world of R and its benefits for social science research.
In the past several years, we have witnessed the birth and rapid spread of social media, smart phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable. In this talk, I’ll describe how survey research fits into this new data landscape. Further, I’ll use specific examples to illustrate how survey researchers can harness the tools of the digital age to collect data in new ways. Throughout the talk I will emphasize ways that big data sources and surveys can serve as compliments rather than substitutes.
Join the Center for Data Innovation for a conversation about how the public and private sectors can work together to accelerate the use of AI to combat fake news.
Join to hear presentations from the finalists for the NYU Coleridge Initiative’s Rich Context Competition. The competition challenged computer scientists to find ways of automating the discovery of research datasets, fields and methods used in social science research publications.
What is at stake with data politics beyond privacy, security and efficiency? How do data systems reflect broader systems of injustice – and what might this mean for advancing social justice in an age of datafication? Join us for a public talk with Lina Dencik (Cardiff University) on her research about data justice and her work with the Data Justice Lab.
The University of Manchester has announced a new 2-day introductory training course for social scientists seeking to increase their skills in data management, particularly in dealing with new forms of complex and unstructured data
Massive digital datasets provide the opportunity to study language use and behavior on a very large scale. However, to fully leverage their potential for research in the social sciences and humanities, new computational approaches are needed