Prof. Richard Laing (RGU Visualisation Research Group @rguvis ) reports on Smart Cities In Focus event in China this month. Work in Yinchuan has many overlaps with aspects of work in Aberdeen which is part of the EU H2020 funded Civitas PORTIS deal. Check out more information on the RGU Visualisation blog here.
Call for papers: Crime Surveys User Conference 2017.
Submissions are now open for the Crime Surveys User Conference 2017. The annual Crime Surveys User Conference, organised by the UK Data Service, will be held on Friday 8 December. The event is free to attend and will be held at the Royal Statistical Society in London. The programme will contain a mixture of presentations from data producers, including the Office for National Statistics (ONS), and researchers who use crime-related data. We would like to invite offers of presentations based on analysis of the UK crime surveys, such as the Crime Survey for England and Wales, the Commercial Victimisation Survey, and the Scottish Crime and Justice Survey. Presenters will have approximately 20 minutes for their talk followed by 10 minutes for questions. Please send offers of a paper, including a 200-word abstract, to firstname.lastname@example.org by Monday 25 September. We will evaluate all abstracts and notify authors after the selection process. A detailed programme of presentations will be provided prior to the conference. See details of previous user conferences: Crime Surveys User Conference 2016 and Crime Surveys User Conference 2015.
Follow the event on Twitter: #UKDSCrime17
The Farr Institute’s latest news includes their participation in the Edinburgh Fringe with Dr Data: The Answer to Cancer, produced in cooperation with the Cancer Innovation Challenge and the Beltane Network, and part of the Cabaret of Dangerous Ideas, a well-established series of research-related performances. The latest news release also covers cyber security, collaborations between Scottish Government the NHS and the Data Lab, and also a call for submissions to the e-journal “The International Journal of Population Data Science”.
A new search engine has been developed by Cohort & Longitudinal Studies Enhancement Resources (CLOSER) to enable researchers to explore, search and browse the rich data collected from eight leading UK longitudinal studies. This will provide opportunities to learn about structuring longitudinal studies and their potential for new research.
- The original question on which the variables are based
- Where the questions appeared in the survey, including complete routing
- The source of derived variables
- An overview of each variable, including valid and invalid cases, maximum, minimum and mean values
- Similarities and relationships of variables and data across the different studies
- How to access the data from each study
Future cities face many challenges as urban populations increase. Physical resources – such as energy and water – along with healthcare, traffic, public transport and other logistics need careful management in order to meet the needs of citizens, maintain economic growth and ensure sustainability. The effective use of data and new technology solutions are providing new tools and opportunities that can help overcome these challenges.
Standards support the widespread adoption of common approaches to the implementation of products and services in future cities. A range of standards are required to help the smart city meet its potential and to help address issues at different levels, from the decision-making at the city level to the interoperability of particular devices. This event aims to bring together local authorities, researchers and innovators to identify the challenges facing cities, discuss potential solutions to common problems and look at the role and future of smart city standards.
This free event will take place on 19 May 2017 in the Still Room at the IET Glasgow: Teacher Building – a landmark venue in the heart of Glasgow city centre.
The programme details and timings are still to be confirmed – Each session will be approximately 60 minutes in length including a Q&A. There are no specific pre-requisites for attending but the event is likely to be of most interest to standards professionals and urban planners from the academic, consultancy and public sectors. Registration for this free event is available via Eventbrite and is necessary due to limited space and for catering arrangements.
Workshop: Collecting and storing data from Internet based sources. Tuesday 9 May 2017, 10.00 – 13.00 Williamson Building, University of Manchester.
Many websites allow researchers and developers to download data from them using their Application Programming Interface (API). This data is often in formats that social scientists are unfamiliar with (e.g. JSON). Downloaded data can be processed immediately or stored in a database for later processing in a package like R or Stata. Data can be collected at regular intervals over a period of time, using the built-in functionality of the Windows or Linux operating systems. This free introductory workshop, organised by the UK Data Service, is aimed at anyone interested in collecting data from the internet via APIs. Some previous knowledge of programming may assist in understanding the examples.
- Level: Introductory
- Experience/knowledge required: Some previous knowledge of programming
- Target audience: Anyone interested in collecting data from the internet via APIs
The UK Data Service has web pages to aid researchers looking specifically for data on particular themes:
Ageing Crime Economics Education Environment and energy Ethnicity Food and food security Health and health behaviour Housing and the local environment Information and communication Labour market Politics Poverty and social exclusion
A free webinar, organised by the UK Data Service, provides an introduction to using mapping libraries in R to create simple geographical visualisations of your data. The data can be represented on the map in a variety of ways, using pop-ups or colour shading. However before you can do this you need to be able to create the map with appropriate geographical boundaries and to be able to associate your data with the available geographical information of the map. We will look at different data formats such as using longitude and latitude values as well as using shape files. We will use R libraries which generate static maps (essentially an image file) such as ggmap and those which produce more dynamic maps which can be displayed in a web browser such as leaflet. This webinar is intended for researchers who are familiar with using statistics packages like R or Stata and who would like an introduction to mapping data containing geographical information using the packages available in R. Date: 4 April 2017, 15.00 – 16.00 Level: Introductory. Experience/knowledge required: Familiar with using statistics packages like R or Stata. Target audience: Researchers interested in mapping data
Check out this new resource for researchers who want to be more productive and achieve real-world impacts from their research.