In reflecting upon a decade of research at NYU Global TIES aimed at supporting children's holistic development within contexts of conflict and crisis, this white paper encapsulates our collective learnings from working with a network of actors in low- and middle-income and conflict affected contexts who aim to understand what works, how, and for whom. The goal of this paper is to distill insights from the diverse perspectives and experiences of dedicated researchers, inspire action, and provide recommendations for a future distinguished by inclusive and impactful outcomes.

Reach Up and Learn (RUL) is a home-visiting program that was introduced in Jamaica in 1975. In 2016, the International Rescue Committee (IRC), in collaboration with the Arab Resource Collective, adapted RUL for the context of Syrian and host community families in Lebanon, Jordan and Syria and integrated RUL into its education, child protection, and health programs in Jordan, Lebanon, and Syria.

The purpose of this product is to summarize and showcase the achievements on communication of the evidence and lessons learned from the 3EA E-Cubed project. In sum, we generated 59 total communications products across 12 different formats targeting diverse audiences. These products are presented in 12 different formats, to cater to these diverse audiences and maximize the reach and impact, ranging from academic journals, policy briefs, and datasets to press releases, blogs, webinars, interactive online tools, and more.

NYU-TIES' Senior Data Associate Daniel Woulfin was one of the panelists on the #DataCuration panel at the Research Data and Assess Preservation Virtual Summit 2023, alongside other data curation experts from Penn State University, ICPSR at University of Michigan Institute for Social Research, and the University of Michigan. Dan gave a lightning talk on his open source web application, DIYDDI, which allows researchers to curate their own dataset metadata and generate codebooks and documentation.

diyddiCurator is a graphic user interface to the rddi package. It is a shiny app designed to streamline metadata generation for research data sharing. It allows the user to input project metadata and generate a valid Data Documentation Initiative Codebook (DDI 2.5) to describe the study and data collected.

DDI elements and their attributes are listed in various tabs and described using handsontable (https://handsontable.com/). By right clicking on the table users can add or delete rows. A human readable README, the DDI Codebook and the data is available for export in the Export navigation menu.