The Sumerian Networks JupyterBook is a product of the Sumerian Network project, the goal of which has been to build reproducible models of socio-economic networks from the Ur III archives, and to further refine these models to more accurately reflect the actors and entities active in these unprovenanced archives over the c. 80 year period in the 21st century BCE. Beginning with ca. 15,000 transliterated texts from the site of Drehem (known in antiquity as Puzriš-Dagān), this JupyterBook has a...
BIDS Senior Fellow Lauel Larsenand ESDL Project Scientist Dino Bellugi offer this project (#4) through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
The Environmental Systems Dynamics Laboratory (ESDL) focuses on the interplay between biological, physical, and human aspects of the environment using a combination of physically-based and data-driven models. Research topics include how river deltas grow or shrink, how landslides occur and mobilize, how deforestation affects precipitation, and how to forecast the response of environmental...
Drs. Maryam Vareth and Akram Bayat offer this project (#1) through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
One of the fastest growing fields of research in medical imaging during the last several years is the use of machine learning methods for image reconstruction.
This project aims to use deep learning approaches in image reconstruction to accelerate Magnetic Resonance Imaging (MRI) acquisition and in result reduce MRI examination times for patients. Two of the most influential development in this area during the...
BIDS Senior Fellow Joshua Blumenstockis offering these four data science projects through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
The Data-Intensive Development Lab at UC Berkeley is providing data science support to the governments of several Low and Middle Income Countries, as well as humanitarian organizations like GiveDirectly, who are doing their best to effectively respond to the evolving humanitarian crisis caused by the COVID-19 pandemic. So far, we have provided technical support to governments in Afghanistan,...
BIDS Health and Life Sciences Lead Maryam Vareth offers this project (#2) through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
Research access to electronic health record (EHR) data is limited due to patient privacy concerns. Creating synthetic EHR data (data that models realistic patterns and yet does not correspond to real patient records) provides a potential mechanism to expand data access.
Although the academic and commercial sectors have developed successful methodologies for generating realistic synthetic EHR data, these...
BIDS Faculty Affiliate Maya Petersen is part of Unidos en Salud / United in Health, a collaboration of healthcare providers, infectious disease experts, community mobilizers, and people who are helping vulnerable populations through COVID-19.
COVID-19 disproportionately effects communities of color across the nation. In San Francisco, LatinX members make up roughly 50% of COVID-19 cases, despite being 15% of the...
What are the main types of concerns that citizens bring to mayors and city councilors in Latin America? What sorts of incentives do public officials have to...
BIDS Research Affiliate Benjamin Nachman offers this project through UC Berkeley's Undergraduate Research Apprentice Program (URAP).
Project Description: This is an exciting time in high energy physics: there are many experimental and theoretical hints for new phenomena (such as dark matter), yet we do not yet have any significant evidence for...
The CRIC Cervix Collectionis a searchable image database — currently with 400 images (1,376 × 1,020 pixels) curated from conventional Pap smears, with manual classification of 11,534 cells — that makes digital cell image collections available for reproducible research and FAIR machine learning, with the potential to advance current efforts in training and testing machine learning algorithms for the automation of tasks as part of the cytopathological analysis in the routine work of...
