Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions,

Many books explain what is known about the universe. This book investigates what cannot be known. Rather than exploring the amazing facts that science, mathematics, and r

A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing—a reference for students and professionals.

How organizations--including Google, StubHub, Airbnb, and Facebook--learn from experiments in a data-driven world.Have you logged into Facebook recently? Searched for something on Google? Chosen a mov

One of today's most widely read philosophers considers the shift in violence from visible to invisible, from negativity to excess of positivity.Some things never disappear -- violence, for example. Vi

Experts examine new modeling strategies for the interpretation of biological data and their integration into the conceptual framework of theoretical biology, detailing approaches that focus on morphol

How to use data as a tool for empowerment rather than oppression.Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

A practice-based guide to applying the principles of human-centered design to real-world health challenges; updated and expanded with post–COVID-19 innovations. This book offers a practice-based guide to applying the principles of human-centered design to real-world health challenges that range from drug packaging to breast cancer detection. Written by pioneers in the field―Bon Ku, a physician leader in innovative health design, and Ellen Lupton, an award-winning graphic designer―the book outlines the fundamentals of design thinking and highlights important products, prototypes, and research in health design. This revised and expanded edition describes innovations developed in response to the COVID-19 crisis, including an intensive care unit in a shipping container, a rolling cart with intubation equipment, and a mask brace that gives a surgical mask a tighter seal. The book explores the special overlap of health care and the creative process, describing the development of such prod

In Always Already New, Lisa Gitelman explores the newness of new media while she askswhat it means to do media history. Using the examples of early recorded sound and digital networks,Gitelman challen

In a clear, nontechnical account, Jack Goldstein tells the story of this entrepreneurial American scientist who played an essential part in experiments important to the development of quantum mechanic

What life during lockdown reveals about digital inequality.The vast majority of people in wealthy, highly connected, or digitally privileged societies may have crossed the digital divide, but being online does not mean that everyone is equally connected―and digital inequality reflects experience both online and off. In Connected in Isolation Eszter Hargittai looks at how this digital disparity played out during the unprecedented isolation imposed in the early days of the coronavirus pandemic. During initial COVID-19 lockdowns the internet, for many, became a lifeline, as everything from family get-togethers to doctor’s visits moved online. Using survey data collected in April and May of 2020 in the United States, Italy, and Switzerland, Hargittai explores how people from varied backgrounds and differing skill levels were able to take advantage of digital media to find the crucial information they needed―to help loved ones, procure necessities, understand rules and risks. Her study reve

Discover the hidden electrical world inside your nervous system using DIY, hands-on experiments, for all ages. No MD or PhD required!The workings of the brain are mysterious: What are neural signals? What do they mean? How do our senses really sense? How does our brain control our movements? What happens when we meditate? Techniques to record signals from living brains were once thought to be the realm of advanced university labs . . . but not anymore! This book allows anyone to participate in the discovery of neuroscience through hands-on experiments that record the hidden electrical world beneath our skin and skulls. In How Your Brain Works, neuroscientists Greg Gage and Tim Marzullo offer a practical guide―accessible and useful to readers from middle schoolers to college undergraduates to curious adults―for learning about the brain through hands-on experiments. Armed with some DIY electrodes, readers will get to see what brain activity really looks like through simple neuroscience e

Why cyberinsurance has not improved cybersecurity and what governments can do to make it a more effective tool for cyber risk management.As cybersecurity incidents―ranging from data breaches and denial-of-service attacks to computer fraud and ransomware―become more common, a cyberinsurance industry has emerged to provide coverage for any resulting liability, business interruption, extortion payments, regulatory fines, or repairs. In this book, Josephine Wolff offers the first comprehensive history of cyberinsurance, from the early “Internet Security Liability” policies in the late 1990s to the expansive coverage offered today. Drawing on legal records, government reports, cyberinsurance policies, and interviews with regulators and insurers, Wolff finds that cyberinsurance has not improved cybersecurity or reduced cyber risks. Wolff examines the development of cyberinsurance, comparing it to other insurance sectors, including car and flood insurance; explores legal disputes between ins

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.New for the second edition:“Programming-language agnostic” presentation using pseudocode.New chapter 1 covering

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States--Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow--Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogen

An integrated introduction to data visualization, strategic communication, and delivery best practices.Persuading with Data provides an integrated instructional guide to data visualization, strategic communication, and delivery best practices. Most books on data visualization focus on creating good graphs. This is the first book that combines both explanatory visualization and communication strategy, showing how to use visuals to create effective communications that convince an audience to accept and act on the data. In four parts that proceed from macro to micro, the book explains how our brains make sense of graphs; how to design effective graphs and slides that support your ideas; how to organize those ideas into a compelling presentation; and how to deliver and defend data to an audience. Persuading with Data is for anyone who has to explain analytical results to others. It synthesizes a wide range of skills needed by modern data professionals, providing a complete toolkit for cr

An examination of the datafication of family life--in particular, the construction of our children into data subjects. Our families are being turned into data, as the digital traces we leave are share

How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that pla

Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi

We live in the era of Big Data, with storage and transmission capacity measured notjust in terabytes but in petabytes (where peta- denotes a quadrillion, or athousand trillion). Data collection is con

The word "architect" is a noun, but Doug Patt uses it as a verb--coining a term andmaking a point about using parts of speech and parts of buildings in new ways. Changing the functionof a word, or a r

The development of themes, motifs, and techniques in Bergman's films, from the first intimations in the early work to the consummate resolutions in the final movies.

The latest research in the development of technologies that will allow humans to communicate, using brain signals only, with computers, wheelchairs, prostheses, and other devices. Interest in develo

Since 1990 there has been a renaissance of theoretical and empirical work on thespatial aspects of the economy--that is, where economic activity occurs and why. Using new tools--inparticular, modeling

These original essays summarize a decade of fruitful research and curriculum development using the LISP-derived language Logo. They discuss a range of issues in the areas of curriculum, learning, and

A cognitive ethnography of how bioengineering scientists create innovative modeling methods.In this first full-scale, long-term cognitive ethnography by a philosopher of science, Nancy J. Nersessian offers an account of how scientists at the interdisciplinary frontiers of bioengineering create novel problem-solving methods. Bioengineering scientists model complex dynamical biological systems using concepts, methods, materials, and other resources drawn primarily from engineering. They aim to understand these systems sufficiently to control or intervene in them. What Nersessian examines here is how cutting-edge bioengineering scientists integrate the cognitive, social, material, and cultural dimensions of practice. Her findings and conclusions have broad implications for researchers in philosophy, science studies, cognitive science, and interdisciplinary studies, as well as scientists, educators, policy makers, and funding agencies. In studying the epistemic practices of scientists, Ner

An illustrated guide to exploring the Universe in three dimensions.Astronomers have made remarkable discoveries about our Universe, despite their reliance on the flat projection, or 2D view, the sky has offered them. But now, drawing on the vast stores of data available from telescopes and observatories on the ground and in space, astronomers are using 3D technology to go beyond a flattened view of the cosmos. In Stars in Your Hand, Kimberly Arcand and Megan Watzke offer an illustrated guide to exploring the Universe in three dimensions, with easy-to-follow instructions for creating models of stars and constellations using a 3D printer and 3D computer imaging. Stars in Your Hand and 3D technology make learning about space an adventure. Intrigued by the stunning images from high-powered telescopes? Using this book, you can fly virtually through a 3D spacescape and hold models of cosmic objects in your hand. Arcand and Watzke outline advances in 3D technology, describe some amazing recen

Experiments in architectural education in the post–World War II era that challenged and transformed architectural discourse and practice. In the decades after World War II, new forms of learning transformed architectural education. These radical experiments sought to upend disciplinary foundations and conventional assumptions about the nature of architecture as much as they challenged modernist and colonial norms, decentered building, imagined new roles for the architect, and envisioned participatory forms of practice. Although many of the experimental programs were subsequently abandoned, terminated, or assimilated, they nevertheless helped shape and in some sense define architectural discourse and practice. This book explores and documents these radical pedagogies and efforts to defy architecture’s status quo. The experiments include the adaptation of Bauhaus pedagogy as a means of “unlearning” under the conditions of decolonization in Africa; a movement to design for “every body,

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow―and show how a human-centered approach can enhance each one, by making the process more transparent, aski

The emergence of ketamine--previously known as a combat anesthetic and club drug--as a treatment for depression.Ketamine, approved in 2019 by the Food and Drug Administration for the treatment of depr

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.The goal of data

In September 2015, the United Nations General Assembly adopted the Sustainable Development Goals as part of the 2030 Agenda for Sustainable Development. The Sustainable Development Goals built on and

As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural

In the age of Big Data, the tools of information visualization offer us a macroscopeto help us make sense of the avalanche of data available on every subject. This book offers a gentleintroduction to

Large transaction-processing applications, such as banking, flight reservations, telecommunications, and networking, demand increasingly high throughput and fast response times. Coupling multiple syst

The authors, two of the most prominent game theorists of this generation, havedevoted a number of years to the development of the theory presented here, and to its economicapplications. They propose r

Volume I, Wealth and Poverty, addresses domestic or internal development problems. Essays in Development Economics collects many of Jagdish Bhagwati's writings that have established him as a major p

The assembly of an archive of longitudinal data on the world's nation-states was undertaken by the Center for Comparative Political Research in 1968, with computer-facilitated procedures for the stora

A new model of urban governance, mapping the route to a more equitable management of a city’s infrastructure and services.The majority of the world’s inhabitants live in cities, but even with the vast wealth and resources these cities generate, their most vulnerable populations live without adequate or affordable housing, safe water, healthy food, and other essentials. And yet, cities also often harbor the solutions to the inequalities they create, as this book makes clear. With examples drawn from cities worldwide, Co-Cities outlines practices, laws, and policies that are presently fostering innovation in the provision of urban services, spurring collaborative economies as a driver of local sustainable development, and promoting inclusive and equitable regeneration of blighted urban areas.Identifying core elements of these diverse efforts, Sheila R. Foster and Christian Iaione develop a framework for understanding how certain initiatives position local communities as key actors in the

An approachable introduction to elementary sheaf theory and its applications beyond pure math.Sheaves are mathematical constructions concerned with passages from local properties to global ones. They have played a fundamental role in the development of many areas of modern mathematics, yet the broad conceptual power of sheaf theory and its wide applicability to areas beyond pure math have only recently begun to be appreciated. Taking an applied category theory perspective, Sheaf Theory through Examples provides an approachable introduction to elementary sheaf theory and examines applications including n-colorings of graphs, satellite data, chess problems, Bayesian networks, self-similar groups, musical performance, complexes, and much more. With an emphasis on developing the theory via a wealth of well-motivated and vividly illustrated examples, Sheaf Theory through Examples supplements the formal development of concepts with philosophical reflections on topology, category theory, and