Exploratory: Demography, Economy and Finance 2.0
Could data revolution help the measurement of peacefulness? Data Scientists for Social Good and Social Good organisations, such as the United Nations (UN), highlight the importance of harnessing the data revolution [1] to put the best available tools and methods to work for the well-being and its dimensions [2] or in achieving the Sustainable Development Goals [3], such as peacefulness.
Iknoor Singh, UIET, Panjab University, India | iknoor.ai@gmail.com
TransNational Access @ GATE - University of Sheffield
Exploratory: Sports Data Science
Exploratory: Social Impact of AI and Explainable ML
Exploratory: migration studies
Exploratory: Migration Studies
Online hate speech deserves special academic attention because of its social implications, as it can be an important predictor of hate crimes towards vulnerable individuals or groups. In Europe, it has not stopped rising in recent years, while these types of crimes are also increasing. Müller & Schwarz, (2018) explain that there is a correlation between hate speech online and hate crimes, so it is essential to study these types of messages that are transmitted on social networks in order to prevent and counteract their effects.
Recently, there was a case that brought up - once again - the issue of bias in machine learning algorithms.
This is not a new issue per se, as in 2015 a black software developer tweeted about Google’s Photo service labelling him and a friend as “gorillas”. In 2018, a WIRED story highlighted that Google was still struggling to fix the issue with its software, and had resolved to removing the term “gorilla” and other primates from its image labelling lexicon.
Exploratory: Demography, Economy and Finance 2.0
Have you ever imagined a global database of society easily accessible and open for real time research? The Global Dataset of Events Location and Tone, or simply called GDELT (https://www.gdeltproject.org/) promises to be such a database, and it is supported by Google Jigsaw.