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An evaluation of U.S. cities’ efforts to further distributive justice in climate adaptation planning Open
Cities are increasingly pursuing sustainability efforts to create inclusive, safe, and climate resilient places. However, there is evidence that emerging climate adaptation actions in cities—whether intentionally or unintentionally—are con…
Broadening diversity, equity, accessibility, and inclusion in the process and development of climate assessments Open
Comprehensive assessments of scientific knowledge are essential to inform efforts to mitigate greenhouse gas emissions and adapt to climate change impacts. The Fifth National Climate Assessment (NCA5), released in late 2023, adopted clear …
Parents' online school reviews reflect several racial and socioeconomic disparities in K-12 education Open
The files included on this page contain a description of the datasets that were used for this project, along with information about how access can be requested. They also contain the code repositories used to collect, prepare, and analyze …
Institutional Designs for Procedural Justice and Inclusion in Urban Climate Change Adaptation Open
Although there is broad consensus that more inclusive approaches are needed in climate adaptation planning, it is unclear how cities should redesign rules, institutions, and decision-making processes to produce more equitable forms of part…
Governing intersectional climate justice: Tactics and lessons from Barcelona Open
Cities and local governments are important actors in the global governance of climate change; however, the specific governance principles and arrangements that enable urban climate plans and policies to realize commitments to social equity…
Seeking refuge? The potential of urban climate shelters to address intersecting vulnerabilities Open
Climate shelters are critical urban infrastructures to support adaptation to extreme weather. They offer spaces – e.g., parks, libraries, and civic centers – where residents can take refuge during episodes of extreme temperatures. With ove…
View article: PaLM 2 Technical Report
PaLM 2 Technical Report Open
We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is a Transformer-based model trained using a mixture of obje…
Language Models Trained on Media Diets Can Predict Public Opinion Open
Public opinion reflects and shapes societal behavior, but the traditional survey-based tools to measure it are limited. We introduce a novel approach to probe media diet models -- language models adapted to online news, TV broadcast, or ra…
Translating and embedding equity-thinking into climate adaptation: an analysis of US cities Open
Cities increasingly recognize the importance of furthering social equity in their climate adaptation planning. Such efforts are often in response to grassroots mobilizations, yet it is not clear to what extent they translate into urban coa…
Socio-spatial legibility, discipline, and gentrification through favela upgrading in Rio de Janeiro Open
Urbanization in the global South is often characterized by spatial fragmentation and the unequal distribution and allocation of urban infrastructure, public spaces, and environmental amenities. This chapter contributes to the epistemology …
Urban Climate Justice in India Open
Indian cities are especially vulnerable to climate change due to their rapid population growth, high levels of socioeconomic inequality, and the general inability of infrastructure and public services to adapt to projected impacts (Revi 20…
Conclusion: Pathways to Policies and Praxis of Climate Justice in India Open
Anil Agarwal and Sunita Narain published a remarkable report in 1991 in which they differentiated between ‘survival emissions’ and ‘luxury emissions’. It would not be an exaggeration to say that no other report has had a comparable impact …
View article: Ten new insights in climate science 2022
Ten new insights in climate science 2022 Open
Non-technical summary We summarize what we assess as the past year's most important findings within climate change research: limits to adaptation, vulnerability hotspots, new threats coming from the climate–health nexus, climate (im)mobili…
Evolving Evocative 2D Views of Generated 3D Objects Open
We present a method for jointly generating 3D models of objects and 2D renders at different viewing angles, with the process guided by ImageNet and CLIP -based models. Our results indicate that it can generate anamorphic objects, with rend…
The Democratic Foundations of the Just City Open
Key Insights From a European Comparative Study.
View article: A climate resilience research renewal agenda: learning lessons from the COVID-19 pandemic for urban climate resilience
A climate resilience research renewal agenda: learning lessons from the COVID-19 pandemic for urban climate resilience Open
Learning lessons from the COVID-19 pandemic opens an opportunity for enhanced research and action on inclusive urban resilience to climate change. Lessons and their implications are used to describe a climate resilience research renewal ag…
Tracking and Reporting Finance for Locally Led Adaptation to Climate Change Open
This working paper discusses how governments can use practical, flexible approaches to determine if and how finance is supporting locally led adaptation (LLA) to climate change. As national governments invest in building resilience to clim…
Parents’ Online School Reviews Reflect Several Racial and Socioeconomic Disparities in K–12 Education Open
Parents often select schools by relying on subjective assessments of quality made by other parents, which are increasingly becoming available through written reviews on school ratings websites. To identify relationships between review cont…
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop\n Prediction Open
We present a randomized controlled trial for a model-in-the-loop regression\ntask, with the goal of measuring the extent to which (1) good explanations of\nmodel predictions increase human accuracy, and (2) faulty explanations decrease\nhu…
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction Open
We present a randomized controlled trial for a model-in-the-loop regression task, with the goal of measuring the extent to which (1) good explanations of model predictions increase human accuracy, and (2) faulty explanations decrease human…
Games for Fairness and Interpretability Open
As Machine Learning (ML) systems becomes more ubiquitous, ensuring the fair and equitable application of their underlying algorithms is of paramount importance. We argue that one way to achieve this is to proactively cultivate public press…
Games for Fairness and Interpretability Open
As Machine Learning (ML) systems becomes more ubiquitous, ensuring the fair and equitable application of their underlying algorithms is of paramount importance. We argue that one way to achieve this is to proactively cultivate public press…