DataCivil’s lead discusses Disaster Risk Reduction
.svg)
.svg)
On 25 March 2024, DataCivil’s principal investigator, Philipp Ulbrich was invited to participate in a panel discussion for the launch of the Municipal Plan for Disaster Risk Reduction in Niterói, Rio de Janeiro state.
The event was hosted by Niterói's mayor and co-presented by Brazil’s National Secretary for the Peripheries, the municipal secretary for civil defence, and the Vice-Chancellor of the Universidade Federal Fluminense.
During his talk, Philipp emphasised the importance of creating multi-level synergies between the global 2030 Agenda, Brazil's government’s drive to enhance data on Favelas, and Niterói’s plan to create a participatory strategy for disaster risk reduction in the city.
Following the public event, the DataCivil team hosted a project inception workshop with community civil defence volunteers and city officials to co-identify data needs and outline a joint vision of a training module for risk data generation for future civil defence volunteers.
Files
Latest news
Turning Geospatial Data into Planning Decisions: Evaluating a Participatory Accessibility Model for Urban Drinking Water
Urban planning increasingly uses geospatial data and spatial models to map services, estimate travel time, and identify underserved populations. However, mapped proximity does not necessarily reflect real access. In rapidly urbanising Sub-Saharan African cities, true accessibility to services such as water depends not only on location, but also on functionality, quality, affordability, waiting time, and seasonal reliability. UBDC's Oluwatimilehin Adenike Shonowo has been conducting research into these multidimensional access challenges.
%201.svg){kind=icon}
Brainstorming Data Dive promotes innovative social research
Researchers gathered in Glasgow for an innovative Data Dive, organised by the Urban Big Data Centre in collaboration with ESRC Smart Data Research UK. The aim of the event was to provide researchers with first-hand experience using smart data curated by UBDC and brainstorm new approaches and analyses.
Introducing the Adzuna teaching dataset
UBDC are excited to announce the launch of ‘Adzuna Teaching’, a small and random subset of our main Adzuna dataset. Adzuna Teaching makes Adzuna accessible to a wider audience, specifically students undertaking research projects and lecturers interested in employment or Smart Data. It will also be of interest to researchers thinking of applying for the full Adzuna dataset. Adzuna Teaching preserves the structure, and contains all variables, of our main Adzuna dataset. It therefore includes detailed information on salary, occupation, sector, seniority, skills, location, and job descriptions. See our Adzuna metadata for all variables included. The dataset represents a random 20,000 subsample of all (deduplicated) UK adverts posted on Adzuna.co.uk in the month of September 2021.
Jointly funded by
%20copy.png){kind=logo}
.png){kind=logo}
