Scholars would assist with Aim 1 of a new R01 working with our lab and the Health Evaluation and Analytics Laboratory at NYU Wagner.

Congenital heart defects (CHDs) are the most common and resource intensive birth defects managed in the United States (US), affecting ~40,000 births per year in the US. (1) One-year mortality for these children is >10%. It is >30% for children requiring neonatal surgery. (2) Yet there are currently limited data on long-term outcomes and health expenditures for these children. Due to marked heterogeneity in disease subtypes and treatments among CHD patients, the power of single-center studies is limited. Multi-center data are siloed in diagnostic or procedural registries or in-patient databases, or are the product of individual investigations. Administrative data may lack clinical precision, as ICD codes for this population are not based on physiology. Further, data on costs and value typically rely on cost-to-charge ratio based costs, which are highly influenced by hospital accounting.

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Tax evasion is one of the main sources of informal economic activity and has drastic effects on different macroeconomic variables. However, due to various reasons, it is difficult to directly measure the extent of tax evasion. This project aims to develop a novel way of measuring aggregate tax evasion in national economies using Twitter feeds. To this end, using carefully selected keywords in different national languages, we will collect country and regional level data from Twitter feeds in different frequencies for a large cross section of economies and then construct a measure of tax evasion using the collected data. In addition to fully describing the collected dataset, the project will also examine the evolution of the constructed series.

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We are looking for talented data scientists to support the data processing and learning in the Startup Cartography Project and its follow-on project, the Artificial Intelligence in Entrepreneurship Lab.

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Locally advanced colorectal cancers that invade adjacent organs (i.e., T4 primary tumors) without evidence of distant metastasis account for approximately 5-15% of new colorectal cancers. There are limited multi-institutional study describing the perioperative complication rates and long-term survival of patients undergoing single organ resection after neoadjuvant chemotherapy and/or radiation versus multivisceral resections for patients with T4 colorectal cancers. Using the American College of Surgeons National Cancer Database (NCDB), we seek to analyze differential outcomes (perioperative complications and overall survival) by procedure performed, tumor details, pathological findings, chemo-radiotherapy regimens, patient demographics.

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