The Difference Engine at Arizona State University developed the Women’s Power and Influence Index (WPI) in order to combat the systemic inequality faced by women in the workplace. It aims to analyze data, such as Equal Employment Opportunity data, from various Fortune 500 companies to provide a measure of workplace inequality as well as encourage these institutions to adopt more equitable policies. By rating companies based on what truly matters to women, ASU’s Difference Engine hopes to help both women in existing career paths as well as women seeking a new career or position in companies. However, in order for the WPI to become a relevant scoring metric of gender equality within the workplace, we must raise awareness about the issue of gender equality and of the index itself. By raising awareness about gender inequality as well as inspiring companies to further equality within their workplaces, the WPI will serve to have an integral role in increasing gender equality in the workplace. Our approach for raising awareness utilizes two different strategies: (1) establishing a new version of the WPI website that is both informative and aesthetically pleasing and (2) generating social media content on TikTok that appeal to a variety of audiences and introduce them to the WPI and our mission.

X-ray phase contrast imaging (XPCI) is a novel imaging method that utilizes phase information of X-rays in order to produce images. XPCI allows for highly resolved features that traditional X-ray imaging modalities cannot discern. The objective of this experiment was to model initial simulations predicting the output signal of the future compact x-ray free electron laser (CXFEL) XPCI source. The signal was reported in tonal values (“counts”), where MATLAB and MATLAB App Designer were the computing environments used to develop the simulations. The experimental setup’s components included a yttrium aluminum garnet (YAG) scintillating screen, mirror, and Mako G-507C camera with a Sony IMX264 sensor. The main function of the setup was to aim the X-rays at the YAG screen, then measure its scintillation through the photons emitted that hit the camera sensor. The resulting quantity used to assess the signal strength was tonal values (“counts”) per pixel on the sensor. Data for X-ray transmission through water, air, and polyimide was sourced from The Center for X-ray Optics’s simulations website, after which the data was interpolated and referenced in MATLAB. Matrices were an integral part of the saturation calculations; field-of-view (FOV), magnification and photon energies were also necessary. All the calculations were compiled into a graphical user interface (GUI) using App Designer. The code used to build this GUI can be used as a template for later, more complex GUIs and is a great starting point for future work in XPCI research at CXFEL.