Computational Demography Working Group

TBD

The accelerated proliferation of GIS, especially in the last decade, has greatly expanded the connotation of GIS technology from primarily a diverse suite of digital objects, representations, and devices that create or make use of geographical information to a mediated means with which we humans experience, explore, or make sense of the world. In this talk, the presenter will introduce a newly proposed research perspective Humanistic GIS (Zhao, 2022) that can better encompass the expanded category of GIS technology as well as the accompanying opportunities and challenges. Deeply rooted in humanistic geography, humanistic GIS offers a systematic framework that situates GIS in its mediation of human experience and further categorizes GIS through its embodiment, hermeneutic, autonomous, and background relations with the involved human and place. Humanistic GIS represents a shift from those earlier waves of making or doing GIS, when GIS was more primarily a technology of research and representation – not also as immediately mediating everyday emplaced human life as it is today. To better present the main ideas and merits of humanistic GIS, the presenter will demonstrate a few empirical studies in which he has participated during the past three years, such as using human mobility data to understand the impact of the COVID-19 pandemic on black-owned restaurants, Crypto Place on Blockchain (Zhao and Huang, 2020), Deepfake Geography (Zhao et. al., 2021), Cyber Protest at #Standing Rock (Zhang et. al., 2021). By this talk, the presenter would like to think with the audience on a humanistic pathway for the next chapter of GIS.

Anna Maguire (they / them) is a Senior Research Scientist at Amazon. Anna earned their PhD in Sociology at Vanderbilt 2017. Their research interests are focused on good and bad jobs, work’s impact on health, and the labor movement. They were previously Assistant Prof at Arizona for a very short stint. Anna does not miss academia; they enjoy having weekends, and they happily still manage to publish peer review research.

Chance for everyone to meet and chat.

Discuss plans for next quarter.

Population projections provide predictions of future population sizes in a given area. Most population projections are produced using deterministic approaches. Although different proposed growth scenarios can be used to produce a range of potential values of future population totals, they involve predetermined, potentially unrealistic assumptions about how populations may change. Moreover, they do not provide any statistical uncertainty around expected population change. In this project, we build on previous research on probabilistic projections of fertility and mortality at the subnational level (Ševčíková et al. 2018; Ševčíková and Raftery 2021), as well as prior work on probabilistic projections of migration (Azose and Raftery 2015; Azose et al. 2016), to produce fully probabilistic population projections at the subnational level. We illustrate our approach using publicly available vital statistics and population estimates for Washington State to produce probabilistic population projections for counties in Washington State from 2020 to 2050.

Zoom: https://washington.zoom.us/meeting/register/tJMrdeGqpz4qEt3nymYDdQyVi-X9NeZS28yS

Emily is a former CSDE trainee and completed her PhD in Biological Anthropology at the University of Washington in the summer of 2021 Her dissertation focused on demographic effects on dynamic network model simulations as well as the pros and cons of expedited partner treatment as a prevention method for chlamydia transmission among young adults. Emily is currently a fellow in the Prevention Effectiveness Fellowship’s inaugural Public Health Analytics & Modeling track at the CDC, working in the Division of STD Prevention. She works on modeling projects related to a variety of disease dynamics to support and evaluate diagnostic and prevention activities. Emily is excited to come back and talk with her extended CSDE family!

https://washington.zoom.us/meeting/register/tJMrdeGqpz4qEt3nymYDdQyVi-X9NeZS28yS