Featured Teaching

NASA’s Transform to Open Science Summer School in Open Science and Research Software Engineering

The University of Illinois Urbana-Champaign, 2024

Rigor and Reproducibility in Computational Science with Applications to Genome Research

Clinical Research Education in Genome Science (CREiGS) at School of Medicine at Mount Sinai, 2023

Principles, Statistical and Computational Tools for Reproducible Data Science

Deep Learning & Big Data Summer School, 2023

Introduction to High-Dimensional Climate Data Analysis Using NetCDF

University of Chicago, 2019

Algorithms

University of Cambridge, 2015

Featured Talks

The AI Revolution in Science: Scaling Up, De-democratization, and the Vital Role of Open Source

at OpenForum Academy Symposium on November 14, 2024

Democratization of AI

at the Annual Conference of the MIT Initiative on the Digital Economy, 2024

Enabling reproducibility, transparency and reuse in computational data science

at Cultivarium (www.cultivarium.org) on April 7, 2023

BoF on 'Reproducibility and Trustworthiness of Scientific Research'

by H. Birali Runesha, Ana Trisovic, Sandra Gesing and James Wilgenbusch at PEARC22

Cluster Analysis of Open Research Data

at the 17th International Digital Curation Conference

Dataverse Integration with GitHub via a GitHub Action

at the Dataverse Community Meeting 2022

Computational Reproducibility: Expectations, Challenges and Recommendations

at the Journal Editors Discussion Interface (JEDI) workshop

How to Conduct a Big Data Analysis on Air Pollution and Health

at Mathematical Institute of the Serbian Academy of Sciences and Arts

The Landscape of Data Sharing and Computational Reproducibility for Social Research

at Pew Research Center

Toward FAIR principles for Open Hardware

at Gathering for Open Science Hardware (GOSH)

Research software review as part of the publication process

at Consortium of Scientific Software Registries and Repositories

Evidence-based steps toward a culture for replicability and reproducibility

at Metascience 2021

The Dataverse Project: Data sharing, Reproducibility, Research, Development and the Community

at CNSTAT Expert meeting on Guidance on Data Sharing for NIA Longitudinal Studies