“A must-read for managers, Computational Leadership is an essential exploration of the marriage of data, science, technology, and psychology. Spisak’s writing weaves time-honored management principles with cutting-edge technology best practices to help leaders level up. Any professional who is committed to strengthening relationships and improving decision-making should read this book today.”
—Juan Martinez, Senior Editor, Harvard Business Review
“I want to see democratized services and information as well as leaders using data to understand what really makes a difference when it comes to employee health and well-being. Computational Leadership is a highly readable book showing what it takes to make this digital transformation happen. It’s an essential read for leading in a post-digital world.”
—John Whyte, Chief Medical Officer, WebMD
“The convergence of behavioral science, data science, and cutting-edge technology is a new frontier. Computational Leadership is both fascinating and highly practical, outlining how leaders can adapt to our increasingly digital world. Whether you’re using data and tech to foster innovation or boost employees’ well-being, this book is for you.”
—Max Beilby, Senior Vice President, Culture & Behavioral Risk at Citi and author of Darwinian Business (blog)
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About Computational Leadership
Computational leadership combines behavioral science, data, tech, and practical knowledge to turbocharge decision-making in organizations.
It uses computational methods such as data analysis, machine learning, and simulation to gain insights into how leaders make decisions, how they lead their teams, and how they manage their organizations.
The goal is to create a more effective, next-level approach to leadership by utilizing the power of data, tech, and science to inform leadership strategies and decisions.
The Time is Now
The world is changing at a rapid pace, and the challenges we face today are unlike anything we've seen before. To rise to the occasion, leaders need to arm themselves with all the data, science, and technology at their disposal.
Why? Because data provides insights that inform decision-making, science helps us understand complex systems, and technology enables us to take action at scale. Without these tools, leaders are flying blind and leaving success to chance. But with them, leaders can make informed and strategic moves that lead to success.
Don't be left behind, get your hands on all the data, science, and tech you can. The future belongs to those who are prepared.
Next-Level Results
Computational leadership science combines insights from behavioral science with the power of digital technology to help leaders achieve a variety of goals. Some examples of how this approach can be used include:
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Leaders can combine predictive analytics with the study of large-scale behavior in social networks to predict future trends in the market and make data-driven decisions to capitalize on new opportunities for growth.
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Leaders can use digital tools to track and measure the environmental impact of business operations, and then use this information to (a) identify areas for improvement and (b) create targeted behavioral interventions to promote more sustainable practices.
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Leaders can use data and machine learning to identify patterns in employee behavior and satisfaction, and then combine this information with a deep understanding of human motivation to create personalized (and scalable) interventions for improving engagement.
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Leaders can utilize digital platforms to facilitate organization-wide collaboration and communication among employees from diverse backgrounds, which can help to build a more inclusive and equitable workplace.
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Leaders can leverage predictive analytics to identify key psychological drivers of customer satisfaction and loyalty, and then use this information to improve customer service and increase sales.
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Using natural language processing, text mining, and other AI-based tools, leaders can identify new ideas, trends, and opportunities from diverse sources such as employee conversations, customer feedback, and industry reports. This can lead to new product or service development.
Click here for a short and practical introduction to computational leadership science.
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