Resources

Webinars & Events

Measurement Equivalence and Validity of Mobile-Optimized Call Center Assessments

Now, more than ever, candidates are using their phones to search and apply for job openings. Learn about measurement equivalencies, validity, and design considerations to optimize candidate experiences across devices.

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Big Fakers and Bigger Data: Emerging Insights From Practice

Selection is a high-stakes undertaking where only a chosen few receive a job offer. Given the importance of employment, applicants are incentivized to do or say whatever it takes to score well on a pre-hire assessment. Academics have devised many methods and tools to combat this response distortion problem. The issue is examined using data from millions of applicants.

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Beneficial Intelligence: Using Ethical AI in Hiring

Artificial intelligence is the most transformative technology ever created by humankind and touches almost all aspects of our lives. But, as with all powerful tools, misapplication can cause real harm.

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What Makes Scientific Hiring Different Than Intuition Hiring

HR and TA teams need to be more efficient than ever and faster than ever, all the while focusing on key competencies and the candidate experience. Learn how integrating trusted science and technology to predict performance, ensure fairness, and automate workflow, can transform your hiring.

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Overcoming Roadblocks to Pre-hire Assessments

Assessments have been proven to help organizations reduce turnover, increase revenue, boost new-hire performance, and more, but many stakeholders still worry that this particular piece of hiring technology just isn’t for them.

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Social Media and Selection

In 2020, an estimated 3.6 billion people worldwide were using social media, a number projected to increase to almost 4.41 billion in 2025. But should a candidate’s social media presence be considered in hiring? Find out how social media profiles are used in hiring, what can be measured, and why you should care.

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Webinars & Events

2020 Machine Learning Competition

Modern Hire data scientists once again hosting the third annual SIOP Machine Learning Competition. The purpose of the competition is to develop new AI analytical methods for use in I-O psychology and HR analytics. This year teams are encouraged to compete in the creation and tuning of AI systems that assure fairness and utility in hiring. Last year an estimated 450 people from across industry and academia participated. Top methods and data are preserved and shared publicly to encourage others to reproduce and build upon the competition's resulting research. Registration remains open for 2020.

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Webinars & Events

Healthcare Talent Strategies: Leadership Through COVID-19, and Beyond

COVID-19 has drastically changed healthcare talent management. Talent Acquisition and Talent Management teams need to be more efficient than ever and faster than ever, all the while focusing on key competencies and the candidate experience. It’s daunting for even the most seasoned professionals.

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New Trends in Digital Transformation of Hiring that Randstad Swears By

The key to hiring success is digital transformation — a holistic shift in HR from processes to culture, recruiting to hiring. Nothing better meets the modern candidate's expectations than living, breathing, communicating, and hiring via digital processes.

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Keep Calm and Hire Smart

Now, more than ever, HR and TA professionals are tasked with finding top talent, best suited for the job, and least likely to turnover. It is easy to mistake simple hiring-process metrics, such as time to fill and cost per hire, as indicators of good hiring, but what truly matters is whether the new hire improves the organization.

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