Resources

Webinars & Events

Superhuman Hiring Decisions

With the widespread availability of data and advanced AI tools, using technology to augment your hiring know-how is the clear path to better organizational outcomes. But talent experts need to have the background knowledge to see what’s really possible and see past what’s just marketing hype. They also need to thoroughly understand the real-world implications of deploying these technologies—especially AI, which can do no small harm in unskilled hands—for their organizations and their candidates.

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predictive analytics in hiring
Webinars & Events

Predictive Analytics in Hiring

SHRM found that 75% of HR professionals reported skill gaps in job candidates. 20% of employees leave within their first 45 days. 50% of new hires are judged to be unsuccessful after 18 months. As companies look to improve these results, data-driven hiring solutions are making all the difference such as predictive analytics in hiring.

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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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Webinars & Events

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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