IEEE SSIT: Who we are, what we care about, and our history within the IEEE organization.
The nuclear anxiety of the Cold War now seems quaint. While speculative writers of the late 20th-early 21st centuries have largely relegated nukes to the past, the situation at San Onofre reminds us of our sins — of assuming the future would take care of the future. The U.S. Nuclear Regulatory Commission enabled this consensual hallucination. Did it take climate change into consideration?
When we see a built world, we tend to take its permanence and stability for granted. For those who have chosen coastal homes, that built world goes back at least 50 years, with few residents ever realizing that oceans, lakes, and rivers are living entities constantly in motion. The average person relies upon experts such as architects and civil engineers, and supposed guardrails such as state building codes and homeowner associations, to assess safety when purchasing property. But the 21st-century assumption that the built world is stable is a risky bet. Especially in “business-friendly” states.
Arizona continues to build, build, build, and instead of requiring new residents to adapt to the climate, city governments and developers market the very bad idea that the desert can be made green, and thus more desirable.
The public’s faith in science and technology has never been higher. Computer “apps” that explore things such as the frequency of, and point of origin of, COVID-related Google search terms, and Twitter posts, are being used to trace the progress of the virus and to predict the sites of further outbreaks. The United States has been roiled by the death, at the hands of the police, of George Floyd. Floyd’s killing was captured by an app that has been circulating throughout the globe that has acquired the near iconic power of the crucifixion. With the majority of the American people equipped to make audio–visual recording of police brutality and post them on social media, we expect that crimes such as this will certainly diminish.
https://21stcenturywiener.org/ 22-25 July 2021, Chennai, INDIA N R Narayana Murthy to present Opening Speech on 22 July 2021. Infosys co-founder… Read More
There is huge potential for artificial intelligence (AI) to bring massive benefits to under-served populations, advancing equal access to public services such as health, education, social assistance, or public transportation, AI can also drive inequality, concentrating wealth, resources, and decision-making power in the hands of a few countries, companies, or citizens. Artificial intelligence for equity (AI4Eq) calls upon academics, AI developers, civil society, and government policy-makers to work collaboratively toward a technological transformation that increases the benefits to society, reduces inequality, and aims to leave no one behind.
Public Interest Technology (PIT) is defined as “technology practitioners who focus on social justice, the common good, and/or the public… Read More
Albright’s book focuses on a group of Americans who live a life of digital hyper-connectivity. Mostly under age 50, this would include what are called Generation X (born between 1965 and 1979), Millennials (born between 1980 and 1999), and their offspring — some, as we have seen, still infants.
It is “seeing” that is most compelling when analyzing the relationship between architecture and race, especially, for example, when reexamined in literary works such as F. Scott Fitzgerald’s The Great Gatsby. Adrienne Brown, a professor who specializes in American and African American cultural production at the University of Chicago, takes her readers on a journey that recounts seeing racial characteristics in the early period of American skyscraper construction.
The issue of air pollution is a “wicked problem” — complicated by incomplete knowledge, both within the scientific community and among various stakeholders.
Will We Make Our Numbers? The year 2020 has a majority of the planet asking the simple question: “How do we stay alive? Competition is not working for the long-term sustainability of human and environmental well-being.
As we work to decouple carbon emissions and economic growth on the path to net zero emissions — so-called “clean growth” — we must also meaningfully deliver sustainable, inclusive growth with emerging technologies.
While many of us hear about the latest and greatest breakthrough in AI technology, what we hear less about is its environmental impact. In fact, much of AI’s recent progress has required ever-increasing amounts of data and computing power. We believe that tracking and communicating the environmental impact of ML should be a key part of the research and development process.
In 2019, millions of young people took to the streets demanding “systems change not climate change.” Their call echoes the words of the Intergovernmental Panel on Climate Change (IPCC) Special Report, which stated that “Limiting global warming to 1.5 °C would require rapid, far-reaching and unprecedented changes in all aspects of society.”
Disruptions can have positive as well as negative impacts on natural and human systems. Among the most fundamental disruptions to global society over the last century is the rise of big data, artificial intelligence (AI), and other digital technologies. These digital technologies have created new opportunities to understand and manage global systemic risks.
Some collective behavior that supports sustainability entails some individual inconvenience: many small acts of environmental kindness require some thought, effort, or consideration.
Two major forces are shaping the future of human civilization: anthropogenic climate change and the digital revolution. The changing climate is driving systemic shifts that threaten to destabilize the health and wellbeing of humankind and the natural systems on which they depend.
Mann and Toles crystallize for us climate change denialism, principally in the United States, over the last generation. The core of this denial results from the confluence of several trends deeply embedded in the American culture.
Does access to science communication inevitably lead to greater public understanding of science, its discoveries, and their impact? Does access to online data sets inevitably lead to full comprehension of available information by scientists?