Senior Research Scientist
Dr. Autumn Krauss is Chief Scientist of SAP SuccessFactors’ HR Research Team. Her role is focused on leading the team’s future of work research agenda and applying the team’s research insights and psychological expertise to inform SAP SuccessFactors’ portfolio and product strategy, as well as providing consultative guidance to companies so they can best leverage human experience management practices and technology to foster a strong positive company culture and improve employee experience, performance, and well-being.
Dr. Krauss has over 20 years of experience consulting to senior leaders around the globe, as well as speaking, writing, and conducting applied research on topics across the spectrum of HR, with her applied research programs funded by the SHRM Foundation, the CDC, and NIOSH. With her primary areas of expertise being employee selection and assessment development, culture measurement and change, learning and development, and employee health, safety, and well-being, she has overseen the creation and implementation of large-scale culture assessments, leadership development programs, and employee selection systems across organizations operating in industries such as utilities, mining, oil and gas, healthcare, and retail. Autumn holds a Ph.D. in Industrial and Organizational Psychology with a specialization in Occupational Health Psychology from Colorado State University.
Dr. Lauren Bidwell is Senior Research Scientist of the SAP SuccessFactors HR Research team. Her role involves studying the ways work is changing and driving innovative thinking around the implications of such changes for the effective design and use of HR Technology. Her goal and passion is to help build human and inclusive products.
Lauren has engaged with hundreds of customer organizations around the world and is an active author and presenter on key workforce topics such as employee experience, team dynamics, continuous performance management, equitable talent decisions, collaborative learning and more. Lauren received her Ph.D. in Experimental and Decision-Making Psychology from DePaul University in Chicago, Illinois.
Dr. Lauren S. Park is a Research Scientist on SAP SuccessFactors’ HR Research Team. She conducts applied mixed-method research on workforce psychology topics in partnership with SAP SuccessFactors clients in support of SAP SuccessFactors product strategy. Lauren has provided consultation to organizations around the world on a variety of topics, including employee engagement, technology adoption, and diversity, equity, and inclusion program evaluation.
Lauren completed a dual-emphasis doctorate in Industrial/Organizational and Quantitative Psychologies at Portland State University in Portland, Oregon. Her academic research focuses on the application of advanced statistical techniques to understand the experiences of employees from marginalized backgrounds and identify organizational best practices in the areas of diversity, equity, and inclusion. Lauren’s areas of expertise include diversity, equity, and inclusion policies and practices; learning and development; interpersonal relationships at work; and employee experience.
Joshua is a Ph.D. student in Industrial/Organizational Psychology with a passion for generating strategic organizational effectiveness insights. His research centers around applications of judgment and decision making theories to the workplace and focuses on the dynamics that risk and uncertainty have on workplace decisions. He has previous experience in various management consulting and people analytics roles and lives in Auburn, Alabama, with his wife Rachel and their three dogs.
Alexandria is a Ph.D. candidate at Northern Illinois University in Industrial/Organizational Psychology. Her research interests revolve around ensuring employees are reaching their full potential and performing at their best. She has previous work experience with assessing and developing high potential leaders in organizations. Her education and prior work experience have given her a broad skillset of quantitative and qualitative data analysis.