Recording Plan: 

Curated Track: 

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Call For Participation
For this session we seek paper abstracts that illustrate interesting and useful data and methods for exposing and responding to pressing research questions and challenges from any area in quantitative human geography.

A non-exhaustive list of the sorts of topics we're especially interested in seeing:

- Linked data for better estimating impacts and outcomes
- Satellite and street-view imagery for studying neighbourhood change, poverty, and wellbeing
- Historical data to understand today's spatial inequalities
- Uses or evaluations of commercial data providers (referenceUSA, DataAxle)
- New ways of measuring the effects of neighbourhood context
- Novel uses of Census and administrative data
- Using text to understand space and place
- Cell phone or other human mobility sources (except for micro mobility)
- Data product development
- "Smart" or "digital footprints" data for better understanding behaviours, preferences, and mobilities
- Impactful and useful applications of AI and geographic data science
- Enhancements of any of the above

Co-Organizers: Dani Arribas-Bel, Elizabeth Delmelle, Rachel Franklin, Isabelle Nilsson
Abstracts and questions: Rachel Franklin (rachel.franklin@newcastle.ac.uk)
Deadline: October 31 or whichever final date the AAG eventually settles on

Description:

We live in amazing times for spatial data and methods. Geographers and geographic data scientists are constantly discovering (and borrowing) new and interesting ways to extract useful information from both novel and longstanding types of data, including from mobile phones, imagery, text, historical maps, "smart" data, and linked data. Data fuels methodological innovation and, together, data and methods lend themselves to compelling and impactful applications that highlight the utility of spatial approaches and perspectives and also, hopefully, improve our understanding of the world around us and help us contribute to its improvement.

In other words, data novelty is interesting but it's also important. New spatial data and methods offer creative and insightful ways to observe the world and illuminate hidden relationships, structures, patterns and inequalities. Building on, and working alongside, traditional data and approaches, these novel applications offer the potential to both identify and help redress big spatial inequality challenges across the entire geography landscape, including housing, transportation, mobility, and health.

Non-Presenting Participants