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The thrill of discovery and the excitement of innovation mean that research is often immensely satisfying. But beyond the personal satisfaction, the goal of research is to improve the lives of people everywhere by driving revolutionary advances in healthcare, education, business, and government. This guidebook's strategies will help you shape your research and energize your campus so as to achieve the Twin Win: a breakthrough theory that's published and a validated solution that's ready for dissemination. The action-oriented paths in this guidebook resemble a backpacker's guide to hiking. It suggests paths and gives you enough information to get started, while providing enough flexibility to take side treks and enough confidence to find your own way. Short-term projects include inviting speakers to campus, choosing appropriate research projects, and developing networking skills. Middle-term include seeking funding from government agencies and philanthropic foundations, sharpening your writing and speaking skills, and promoting teamwork in research groups. Long-term missions include changing tenure policies, expanding collaboration with business and civic partners, and encouraging programs that combine theory and practice.
Ava and Alex are taking sibling rivalry to a whole new level in the seventh book of the It Takes Two series! It’s Homecoming Week in Ashland! That means a big game, a big dance, and, most importantly, Powder Puff. But when Alex and Ava are placed on different teams for the middle school girls’ flag football game, trouble brews. Ava is getting loads of extra attention because of her athletic ability, but this leaves Alex feeling majorly left out. Not one to hide from a little competition, Alex is determined to beat her sister at her own game by becoming her team’s secret weapon! But Ava isn’t worried about her jealous sister or Powder Puff. Because she has ADHD, she’s supposed to get extra time on her tests, but her new substitute science teacher is refusing to give it to her. Ava knows it isn’t fair—but how is she supposed to fix things in her science class and win Powder Puff for her team?
This book is a guide for junior researchers, and a manifesto for senior researchers and policy makers about how to update policies to respond to the immense challenges of our times. The guiding principles are to combine applied and basic research in ways that use the methods of science, engineering, and design.
For over 40 years, the tech industry has been working to attract more women. Yet, women continue to be underrepresented in technology jobs compared to other professions. Worse, once hired, women leave the field mid-career twice as often as men. In 2013, Karen Holtzblatt launched The Women in Tech Retention Project at WITops.org, dedicated to understanding what helps women in tech thrive. In 2014, Nicola Marsden joined the effort, bringing her extensive knowledge and research on gender and bias for women in tech. Together with worldwide volunteers, this research identified what helps women thrive and practical interventions to improve women’s experience at work. In this book, we share women’s stories, our research, relevant literature, and our perspective on making change to help retain women. All the research and solutions we share are based on deep research and user-centered ideation techniques. Part I describes the @Work Experience Framework and the six key factors that help women thrive: a dynamic valuing team; stimulating projects; the push into challenges with support; local role models; nonjudgmental flexibility to manage home/work balance; and developing personal power. Employees thinking of leaving their job have significantly lower scores on these factors showing their importance for retention. Part II describes tested interventions that redesign work practices to better support women, diverse teams, and all team members. We chose these interventions guided by data from over 1,000 people from multiple genders, ethnicities, family situations, and countries. Interventions target key processes in tech: onboarding new hires; group critique meetings; and Scrum. Interventions also address managing interpersonal dynamics to increase valuing and decrease devaluing behaviors and techniques for teams to define, monitor, and continuously improve their culture. We conclude by describing our principles for redesigning processes with an eye toward issues important to women and diverse teams.
The huge success of personal computing technologies has brought astonishing benefits to individuals, families, communities, businesses, and government, transforming human life, largely for the better. These democratizing transformations happened because a small group of researchers saw the opportunities to convert sophisticated computational tools into appealing personal devices offering valued services by way of easy-to-use interfaces. Along the way, there were challenges to their agenda of human-centered design by: (1) traditional computer scientists who were focused on computation rather than people-oriented services and (2) those who sought to build anthropomorphic agents or robots based on excessively autonomous scenarios. The easy-to-learn and easy-to-use interfaces based on direct manipulation became the dominant form of interaction for more than six billion people. This book gives my personal history of the intellectual arguments and the key personalities I encountered. I believe that the lessons of how the discipline of Human-Computer Interaction (HCI) and the profession of User Experience Design (UXD) were launched can guide others in forming new disciplines and professions. The stories and photos of the 60 HCI pioneers, engaged in discussions and presentations, capture the human drama of collaboration and competition that invigorated the encounters among these bold, creative, generous, and impassioned individuals.
Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence.
Forecasting the future with advanced data models and visualizations. To envision and create the futures we want, society needs an appropriate understanding of the likely impact of alternative actions. Data models and visualizations offer a way to understand and intelligently manage complex, interlinked systems in science and technology, education, and policymaking. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge, shows how we can use data to predict, communicate, and ultimately attain desirable futures. Using advanced data visualizations to introduce different types of computational models, Atlas of Forecasts demonstrates how models can inform effective decision-making in education, science, technology, and policymaking. The models and maps presented aim to help anyone understand key processes and outcomes of complex systems dynamics, including which human skills are needed in an artificial intelligence-empowered economy; what progress in science and technology is likely to be made; and how policymakers can future-proof regions or nations. This Atlas offers a driver's seat-perspective for a test-drive of the future.
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
"Public-private ecosystems are central to the functioning and provisioning of most essential ecosystems, e.g., security, healthcare, education, and environment. These ecosystems face challenges of governance, diverse constituencies, numerous advocacy organizations, incompatible outcome metrics, and persistent media attention, to name a few. There is a wide range of public and private players involved in operating, sustaining, and investing in these ecosystems, including stakeholders from government, industry, academia, non-governmental organizations and the overall public. Fundamental change requires understanding a wide range of interests and accommodating change strategies accordingly. Transforming these ecosystems easily qualify as "wicked problems," which are social or cultural problems laced with incomplete or contradictory knowledge, large numbers of people and opinions, substantial economic burdens, and the interconnected nature of these problems with other problems. Transforming Public-Private Ecosystems addresses these challenges for four important ecosystems, and provides an integrated perspective for understanding and enabling change. An overall analytic framework is presented and illustrated with 36 case studies of change and innovation"--