Big Data: Wrongs and Rights by Andrew Cormack (WAIS Seminar)

Abstract: Big Data has been characterised as a great economic opportunity and a massive threat to privacy. Both may be correct: the same technology can indeed be used in ways that are highly beneficial and those that are ethically intolerable, maybe even simultaneously. Using examples of how Big Data might be used in education - normally referred to as "learning analytics" - the seminar will discuss possible ethical and legal frameworks for Big Data, and how these might guide the development of technologies, processes and policies that can deliver the benefits of Big Data without the nightmares. Speaker Biography: Andrew Cormack is Chief Regulatory Adviser, Jisc Technologies. He joined the company in 1999 as head of the JANET-CERT and EuroCERT incident response teams. In his current role he concentrates on the security, policy and regulatory issues around the network and services that Janet provides to its customer universities and colleges. Previously he worked for Cardiff University running web and email services, and for NERC's Shipboard Computer Group. He has degrees in Mathematics, Humanities and Law.

Data Science Seminar: Generic Big Data Processing for Advancing Situation Awareness and Decision-Support

The generation of heterogeneous big data sources with ever increasing volumes, velocities and veracities over the he last few years has inspired the data science and research community to address the challenge of extracting knowledge form big data. Such a wealth of generated data across the board can be intelligently exploited to advance our knowledge about our environment, public health, critical infrastructure and security. In recent years we have developed generic approaches to process such big data at multiple levels for advancing decision-support. It specifically concerns data processing with semantic harmonisation, low level fusion, analytics, knowledge modelling with high level fusion and reasoning. Such approaches will be introduced and presented in context of the TRIDEC project results on critical oil and gas industry drilling operations and also the ongoing large eVacuate project on critical crowd behaviour detection in confined spaces.

Data Science Seminar: The data science revolution in Physics and Astronomy

Abstract Heading into the 2020s, Physics and Astronomy are undergoing experimental revolutions that will reshape our picture of the fabric of the Universe. The Large Hadron Collider (LHC), the largest particle physics project in the world, produces 30 petabytes of data annually that need to be sifted through, analysed, and modelled. In astrophysics, the Large Synoptic Survey Telescope (LSST) will be taking a high-resolution image of the full sky every 3 days, leading to data rates of 30 terabytes per night over ten years. These experiments endeavour to answer the question why 96% of the content of the universe currently elude our physical understanding. Both the LHC and LSST share the 5-dimensional nature of their data, with position, energy and time being the fundamental axes. This talk will present an overview of the experiments and data that is gathered, and outlines the challenges in extracting information. Common strategies employed are very similar to industrial data! Science problems (e.g., data filtering, machine learning, statistical interpretation) and provide a seed for exchange of knowledge between academia and industry. Speaker Biography Professor Mark Sullivan Mark Sullivan is a Professor of Astrophysics in the Department of Physics and Astronomy. Mark completed his PhD at Cambridge, and following postdoctoral study in Durham, Toronto and Oxford, now leads a research group at Southampton studying dark energy using exploding stars called "type Ia supernovae". Mark has many years' experience of research that involves repeatedly imaging the night sky to track the arrival of transient objects, involving significant challenges in data handling, processing, classification and analysis.

Create, Share & Collaborate

Research Seminar/Workshop related files and links

Intro to Video Podcasts

These links and resources are used in a LATEU seminar.

Videoconferencing for Teaching and Research intro

Powerpoints used for the above named seminar held at the UoS on 23rd March 2010.

The Curriculum Innovation Programme at the University of Southampton: Curriculum design for a post-Browne world

This is a narrated slide presentation of a seminar delivered by Dr. Peter Smith, Associate Dean (Education) Faculty of Law, Arts and Social Sciences/Associate Dean Education and Student Experience Faculty of Social and Human Sciences. The recording lasts around 25 minutes. The seminar was delivered on 30 November, 2010 to the University of Southampton Higher Education Research Group. The presentation reflects the position of the University's Curriculum Innovation Programme as of November 2010/January 2011.

Open Source Licenses in Academia

A Seminar about the advantages of using open source licenses as a complimentary strategy to the academic publish process.

Personal Learning Environments and Digital Literacies

This is a version of a seminar/keynote talk I have given a few times. It argues that VLEs are no longer fit for purpose and that students should learn to take responsibility for their own toolsets.

What's in a name? The Semantic Web's identity crisis

WAIS Seminar, presented 29 Mar 2012

On social networks and game theory, some research problems

Seminar given as part of social networking course, to give a brief overview of some applied examples game theory used in social network simulation

SUSSED Where we are, were we are going and how we might get there

I delivered this presentation at the CITE seminar on 5th of February 2013

Mining Events from Multimedia streams, Jon Hare

peaker(s): Jon Hare Organiser: Time: 25/06/2014 11:00-11:50 Location: B32/3077 Abstract The aggregation of items from social media streams, such as Flickr photos and Twitter tweets, into meaningful groups can help users contextualise and effectively consume the torrents of information on the social web. This task is challenging due to the scale of the streams and the inherently multimodal nature of the information being contextualised. In this talk I'll describe some of our recent work on trend and event detection in multimedia data streams. We focus on scalable streaming algorithms that can be applied to multimedia data streams from the web and the social web. The talk will cover two particular aspects of our work: mining Twitter for trending images by detecting near duplicates; and detecting social events in multimedia data with streaming clustering algorithms. I'll will describe in detail our techniques, and explore open questions and areas of potential future work, in both these tasks.

University and College Union

Unions and collective negotiation are essential in maintaining good working conditions for all staff, in particular those who are on Fixed Term Contracts (FTC) and are often starting out in their academic/research careers. The FTC group is particularly vulnerable to discrimination and the pressure to produce outputs and bring in funding to secure more secure employment. The very nature of being on a FTC greatly reduces the amount of funding sources that can be applied to.This talk provides an overview of the University and College Union (UCU), how it operates, what the benefits are, what we have achieved nationally and at a local level. Joe Viana, a FTC research er at the University, and the FTC rep of the Southampton UCU branch, will be on hand to answer questions and to provide feedback on local and national level activities.The talk should be of interest to all FTC staff, their supervisors and any postgrads considering a research career in higher education.