Free DataRobot AI course
Looking to get kids interested in AI ? Varsity Tutors are offering a free 2-day course for kids covering technical and ethics aspects
Find out more below…
https://www.varsitytutors.com/classes/star/datarobot-ai
Looking to get kids interested in AI ? Varsity Tutors are offering a free 2-day course for kids covering technical and ethics aspects
Find out more below…
https://www.varsitytutors.com/classes/star/datarobot-ai
Gender inequality in STEM (Science, Technology, Engineering and Maths) roles has been well documented and the following article, contributed by the University of Maryville, seeks to broach and investigate this topic in detail.
The article discusses the history and importance of women in STEM and the numbers/history behind gender inequality covering each component of STEM individually. It discusses various pressures/issues commonly reported by women in STEM roles and looks further at the challenges minority women’s groups within STEM.
The article closes with potential solutions and a list of resources for the reader.
Click here to read the full article and find additional resources for anyone interested in Women in STEM fields.
Summer School participants with their completion certificates.
This years’ Web Science Summer School – organised by the Web Science Trust and two Russian universities (HSE and ITMO) – was a great success, and plans are in progress for next years’ event at the L3S Research Center in Germany. The School was held from 1 to 8 Julyat St. Petersburg, and during the week we held keynotes, tutorials and project work. Subjects included: Introduction to Web Science, Multimedia analysis, Digital health and online interventions, Risky content detection online, Online gaming, Cities online and, Online experiments for psychology and wider social science.
Our MD, Professor Dame Wendy Hall with Olessia Koltsova, Associate Professor in Internet Studies at HSE, St Petersburg
As promotion of interdisciplinary communication and collaboration is a key goal of the school, teams were formed of students from different disciplines. Participants worked on specific tasks linked to the datasets provided, and were mentored by local instructors. All teams presented the results of their work on the last day of the school.
Participants also presented posters about their current work. As well as poster submission, participation in the School was also conditional upon delivering a successful team work presentation.
The School also included cultural and social activities, and a final day keynote lecture from a leading Russian Internet industry speaker.
Next years’ Summer School will be hosted by the L3S Research Center in Hannover, Germany. We hope to see you there!
WWSSS’17 poster session
The 3rd running of the Web Science MOOC is now open for registration to start on the 6th October:
Web Science free MOOC – how the Web is changing the world.
In the Web Science MOOC we examine the origins and evolution of the Web, and considered key questions of Security, Democracy, Networks and Economy from both computational and social science perspectives.
Topics included: making the 21st century Web, introduction to Network Analytics, cybercrime, Open Government Data and employability in a digital age. Visit the FutureLearn website to find out more.
Location: National University of Singapore
Dates: 8 – 15 December 2014
UPDATE – Registration and Summer school website are now live
Click here for the Summer School website
Click here for the Registration Site
The deadline for Registration is 22nd November (Student) and 30th November (General Participants/Non-Student).
Abstract:
The Web increasingly provides a vehicle for diverse elements of modern society ranging from gaming to business, government to education and from crime to policing. The data generated grows not only in volume but also in variety and velocity. These key traits create big data – both ON the Web and big data ABOUT the Web. This is an unprecedented opportunity to gain insight into the ways in which the Web drives new social models which are changing the way we publish and consume information, how we behave online and what it means to have privacy.
With this opportunity comes the challenge of distributed big data analytics, trust and provenance and building systems which can interoperate across technical, legal and cultural borders. Web Science brings a strong interdisciplinary approach to understanding the technical and social elements of an evolving Web Eco-system and has proposed tools such as the
Web Observatory to gather, analyse and curate web data individually but also forming part of a growing global collective network of observatories through which new insights and new approaches to analytics are being developed.
This workshop continues our program of best practice in Web Science and Big Data Analytics. We are delighted to welcome a program of speakers who will complement our hands-on work with Web Observatories during the event with insights into emerging trends and the future direction of Web Science.
Who should attend:
This event welcomes academic staff, MSc and PhD students, industry and government employees who want to learn about big data analytics on and about the Web.
Programme chairs:
Speakers include:
Tutors:
There is no charge for attendance at the Summer School but attendees will be expected to cover their own travel, accommodation and subsistence expenses. Student accommodation has been reserved at NUS for Summer School participants on a first come, first served basis
Workshop sponsors:
Additional opportunities for sponsorship are available – please contact program chairs for details.