city image; Lynchian elements; image processing; sentiment analysis; social media analytics; urban analytics; big data analytics; urban informatics; Colombo; Sri Lanka1. Introduction Cities are ever-changing environments with new urban elements being introduced into the built environment on a regular ...
Chaos Genius ML powered analytics engine for outlier/anomaly detection and root cause analysis Nimblebox A full-stack MLOps platform designed to help data scientists and machine learning practitioners around the world discover, create, and launch multi-cloud apps from their web browser. Towhee A Pyt...
social innovation is sometimes viewed as a social exchange process that integrates multiple promoting elements to address social needs and societal issues (Olszak,2014; Neumeier,2012). On the other hand, social innovation also focuses on the result of exploring products, services, and...
Social responsibility: “scientists should avoid causing harms to society and they should attempt to produce social benefits. Scientists should be responsible for the consequences of their research and they should inform the public about those consequences” (Resnik,2005, p. 57). As will be shown ...
How Sensors and Social Data Can Improve the Office MIT Technology Review - Augmenting Social Reality in the WorkplaceWaber, Ben
Big data analytics personnel capabilities refer to the technical, technology management, business, and relational capabilities of data scientists to perform specific tasks in a big data environment, which are widely considered to play an important role in fostering innovation (Akter et al.,2016). Big...
Big Data (BD) and Artificial Intelligence (AI) play a fundamental role in today’s economy that traditional economic models fail to capture. This paper presents a theoretical conceptualisation of the data economy and derives implications for digital gove
City Access Map- CityAccessMap was developed by urban scientists, for urban planners. It uses open data from OpenStreetMap and the Global Human Settlement Layer (GHSL), to quantify and visualize walking accessibility to a variety of services for any city in the world. ...
Software Development Resources for Data Scientists Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit ...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...