Participants in the POSE Training Program are listed on this page. If you think you should be included here, but currently aren’t please email: info@pose.training.

Spring 2023 Pilot

Projects are listed in alphabetical order by project name.

Browse the project directory:

A | C | E | I | O | P | R | S | T | W

Aquatic Preservation

Investments in aquatic species around the world support the annual production of more than 110 million tons of food, the direct employment of more than 60 million people, and support many types of scientific research including medicine. Cryopreservation (freezing) is a valuable tool to protect these resources, but it must be done in a standardized way with devices and approaches that can fit all budgets. By distributing open-source 3-D printing resources, this project aims to safeguard the genetic resources of aquatic species. 

• NSF award number 22229860
• Project website
• Open-source hardware

Project team members participating in the POSE Training Program:

CKAN

The Comprehensive Knowledge Archive Network (CKAN), and open-source data management software, powers open data and transparency initiatives around the world, including the U.S. government’s open data catalog, Data.gov. The current project will strengthen CKAN so that it continues to provide an effective platform for open data, open government, and open science initiatives. Members of the research team plan to create an ecosystem map and engage a diverse group of ecosystem users and contributors to uncover issues related to growth and sustainability of the ecosystem.

• NSF award number 2229725
• Project website
• Open-source software
• Open data

Project team members participating in the POSE Training Program:

COMPARE

Manipulation is an essential function for robots. Nearly all visions of advanced robot systems involve a human-like ability to grasp and manipulate objects in industrial or home settings. While great progress is being made, this domain has long suffered from, causing inefficiencies and even stagnation. This project strives to remove longstanding roadblocks to the development and assessment of robot manipulation hardware and software, such as the lack of systematic development and benchmarking methodologies, by establishing an open-source ecosystem (OSE).

• NSF award number 2229577
• Project website
• Open-source software
• Open-source hardware

Project team members participating in the POSE Training Program:

Educational CAD

During the past decade, many K-12 schools have established makerspaces with three dimensional (3D) printers, digital die cutters, and other fabrication tools. To facilitate effective use of school makerspaces, an open-source ecosystem is being developed to provide students and educators with curated, carefully reviewed Computer-Aided Design (CAD) models. The ecosystem will be structured around an existing open-source Educational CAD Model Repository.

• NSF award number 2229627
• Open-source software

Project team members participating in the POSE Training Program:

Exosphere

Exosphere empowers researchers to wield advanced cloud-based research tools without needing advanced systems administrator skills. The project’s novelties include: providing a user-friendly dashboard to manage cloud computing, networking, and data storage resources, and providing interactive access to these resources via web browser. Uniquely, Exosphere can provide access to most research-focused cloud systems without custom integration work.

• NSF award number 2229642
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

IN-CORE

Enhancing community resilience remains a national imperative, as reflected in recent financial investments in disaster-related science and technology at federal, state, and local levels. IN-CORE is an open-source, comprehensive environment that can model a community across its physical, social, and economic systems. Researchers will be able to examine undiscovered and indirect interdependencies, and use the system for validation and verification of new models and implementations. This OSE will also enable the analysis of “what if” scenarios, supporting long-term quantitative planning.

• NSF award number 2229608
• Project website
• Open-source software
• Open data

Project team members participating in the POSE Training Program:

OHDSI

Observational Health Data Sciences and Informatics (OHDSI) is multi-stakeholder, interdisciplinary, open-science collaborative to capitalize on the value of health data using large-scale analytics. OHDSI’s mission is to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and care. OHDSI has developed methods to convert local proprietary electronic medical record data into a common format thereby allowing the ecosystem to share code (analysis) between organizations and aggregating only result data. The community has created a research network of 810 million patient records across 300+ sites in a common data format. The goal of this project is to mature the open source governance in the OHDSI ecosystem and create an “OHDSI Way.”

• NSF award number 2229587
• Project website
• Open-source software
• Open data

Project team members participating in the POSE Training Program:

Open-Source Bionic Leg

The objective of this project is to develop an ecosystem for the Open-Source Bionic Leg system, which gives researchers access to a fully capable and standardized hardware platform. The Open-Source Leg system enables researchers to more easily study and compare different control strategies without the prohibitive cost of developing a robotic leg from scratch. The work may impact the lives of those with disabilities through the advancement of next-generation robotic leg prostheses.

• NSF award number 2229418
• Project website
• Open-source software
• Open-source hardware

Project team members participating in the POSE Training Program:

Open-Source Hardware for Laboratory Automation

Scientific experiments are highly varied and require deep domain expertise and specialized equipment. While laboratory automation can increase the precision and efficiency of science experiments, a one-size-fits-all solution does not necessarily exist for science experiments. This project will bring together a community of scientists developing and using open-source hardware for laboratory automation to collaborate on ways of sharing, vetting, and maintaining open-source hardware for science and engineering research. 

• NSF award number 2229018
• Open-source hardware

Project team members participating in the POSE Training Program:

OpenCilk

The goal of this project is to scope an open-source ecosystem (OSE) for OpenCilk, a new task-parallel, fully open-source platform for programming multicore computers, the dominant architecture for computing today. OpenCilk is a key technology for multicore performance engineering – developing fast code for applications that run on commodity and cloud multicore computers – giving application developers a powerful alternative source for performance. This OSE project is experimenting with strategies for outbound, inbound, and peer networking to identify and engage potential OpenCilk users and contributors in academia.

• NSF award number 2229704
• Project website
• Open-source software
• Open-source curriculum

Project team members participating in the POSE Training Program:

OPERA

Rural broadband is important for the rural economy and quality of life, yet 39% of the rural US lacks broadband access, and most agriculture farms are not connected at all. The OPen-source Ecosystem for bRoadband prAirie (OPERA) will enable researchers to transform their rural broadband research experiments into open-source software, data, and hardware designs that can be integrated with open-source platforms to generate rural-focused broadband solutions. The project is expected to not only enable rural-focused broadband technology innovation today but also empower rural regions to become active participants in continuous broadband innovation in the long term.

• NSF award number 2229654
• Project website
• Open-source software
• Open-source hardware

Project team members participating in the POSE Training Program:

OSEMatS

OSEMatS aims to enable the growth of existing open-source materials research tools into a sustainable and robust Open-Source Ecosystem (OSE) that will have broad and lasting scientific and societal impacts. OSEMatS stems from the team’s nonprofit Materials Genome Foundation (MGF), and builds on existing open-source tools available on GitHub (including PyCalphad and ESPEI). The long-term vision of OSEMatS seeks to promote the computational thermodynamics library PyCalphad as a foundational component of scientific computing within materials science, supporting a robust portfolio of associated software projects and user cases to enable the integrated computational-experimental fundamental research and data-driven discovery and inverse-design of materials with emergent functionalities.

• NSF award number 2229690
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

PhET MVC

The  PhET (Physics Education Technology) Model-View-Controller (MVC) Framework codebase has been used to create a suite of interactive simulations used around the world for teaching and learning science and math topics. This project will examine the potential for building an open-source ecosystem around the PhET MVC Framework. The project’s impacts will include an amplification of the awareness and use of accessibility features for educational media, potentially leading to greater inclusion of people with disabilities in educational contexts and beyond.

• NSF award number 2229613
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

PreTeXt Runestone

This project scopes the creation of an Open-Source Ecosystem (OSE) consisting of two existing open-source products: PreTeXt for authoring scholarly documents and textbooks suitable for all areas of STEM, and the Runestone learning engineering and analytics portal for publishing OER textbooks that support both instruction and education research in K-12 and higher education. The long-term societal impacts of this OSE are open-source textbooks that are made freely available to the nation’s STEM classrooms through the Open-Source Ecosystem’s support of instructors, authors, and researchers. PreTeXt-authored works can be converted into HTML, print, and braille formats, enabling the resulting Open Educational Resources to be accessible to a wide range of learners at no cost, an equitable approach to ensuring that all students have the same access to education.

• NSF award number 2230153
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

Renewable Energy

The past decade has been characterized by a momentous shift in the energy landscape, with over $2.6 trillion invested in the exponential growth of renewable energy (RE). The main mission of this research project is to increase consumer adoption and support academic teaching and research in the RE space. The project will provide consumers, researchers, and educators with intuitive, easy to operate open-source software and hardware to control, connect, and modify RE systems, along with access to large open data sets to analyze variables that affect various solutions.

• NSF award number 2228959
• Open-source software
• Open-source hardware
• Open data

Project team members participating in the POSE Training Program:

Rosetta

The Rosetta community has led the field of protein and RNA modeling and design for the last two decades, with modeling and design software enabling high-impact scientific advances as well as the creation of a highly-trained workforce. With the emergence of powerful machine learning methods, and the recent entry of several computationally designed proteins into clinical trials, the Rosetta community needs to reimagine their practices to enable continued leadership and innovation. The goals of this project include defining an organizational structure capable of rapid and informed decision-making, empowering community members and leaders in a “do-ocracy” such that scientific discovery, code development, and community engagement are all equally incentivized, and to identify long-term funding and social engagement strategies that expand the user base.

• NSF award number 2229291
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

Skyhook

Skyhook aims to become a research prototyping ecosystem and a blueprint for efficiently embedding data-processing libraries in storage systems and computational storage devices while enabling processing and storage ecosystems to evolve independently. The project will coordinate a series of workshops convening open-source experts and community leaders with diverse backgrounds to build expertise for open tech transfer within the university. An important focus in these workshops is the ability to foster a diverse community and encourage participation from historically excluded communities. The project seeks to impact the adoption of Skyhook technology for reproducible research prototyping, as a teaching tool in classrooms, and for the establishment of open source as a viable translation path of technologies for research universities.

• NSF award number 2229773
• Open-source software
• Open data

Project team members participating in the POSE Training Program:

Social Science at Scale with Pushkin

Citizen science is increasingly popular as a means to generate large data sets and involve large swathes of the public in scientific research. Data collected from a single large citizen science study can answer questions that would normally need hundreds or thousands of small laboratory experiments, with volunteers participating from around the world using their own smartphones, wearables, and computers. This project involves building a community of professional and amateur researchers who use and build upon an open-source software platform for designing and running citizen science projects.

• NSF award number 2229773
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

STE||AR

This project will lay out a plan to establish the STEllAR open-source organization with the mission to make the use of high-performance computing (HPC) as accessible and efficient as possible. With the help of the community, STEllAR will develop a software ecosystem of users and developers by coordinating the development of tools and technologies targeting multiple science domains, delivering educational services and technical support for faster adoption of such technologies, and providing consultancy services to the community.

• NSF award number 2229751
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

Supply Chain Monitoring

Industry, government, and academia rely on a supply chain of open-source software components. Recently, hackers have identified that, in order to hack their targets, they can “poison the water stream” to affect all consumers of software at once. Problems with these sorts of attacks have caused site- and Internet-wide disruption at an estimated cost of billions of dollars. This project will tackle the challenge of developing and sustaining a community to provide usable security by building a broader solution that can secure not only cloud systems, but emerging applications such as as Artificial Intelligence and Internet of Things (IoT) as well as mission critical applications such as the powergrid.

• NSF award number 2229703
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

TACOS

The advanced computing infrastructure landscape has evolved tremendously with many sophisticated capabilities for tackling the world’s most challenging computing problems. But with that sophistication comes complexity. The Tapis Framework provides a hosted, unified web-based API for securely managing computational workloads across institutions so that experts can focus on their research instead of the technology needed to accomplish it. The Tapis Advancing Collaborative Open Source (TACOS) initiative seeks to explore transforming Tapis into a self-sustaining organization.

• NSF award number 2229614
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

Taskflow

Open-source software systems designed for task-parallel programming have become central to a wide range of modern scientific computing applications, such as machine learning and quantum computing. While decades of research has yielded many open-source task-parallel programming systems, most of them are led by a handful of developers and their impacts do not sustain in the long run. To overcome this challenge, this project proposes scoping activities to establish a route to a long-term sustainable ecosystem for task-parallel programming. These activities build atop the open-source software, Taskflow, a high-performance task-parallel system to streamline the building of complex scientific computing applications.

• NSF award number 2229304
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

Tuitus

Natural hazards, such as floods, landslides, earthquakes, tornadoes, and wildfires, threaten more than 57% of the US national infrastructure. Modeling these complex natural hazards pushes the frontiers of high-performance computing, multi-scale modeling, in-situ visualization, big-data analysis, and machine learning. The project establishes the Tuitus Foundation (Latin for “to protect or care for”), a sustainable, inclusive, open ecosystem of scientific codes for Natural Hazard Engineering (NHE). The project supports building scalable, automated testing and workflow management for high-performance computing (HPC) environments, and tackles the social issues around building and sustaining a community by establishing a Governing Board of Directors and supporting community-driven software development.

• NSF award number 2229702
• Open-source software
• Open-source hardware
• Open data

Project team members participating in the POSE Training Program:

WASM

WebAssembly (Wasm for short), is a new, portable compilation target for the Web that has sparked a revolution in how web applications are built. Since its appearance in major browsers in 2017, Wasm has brought a new, powerful capability to the Web platform and begun expanding rapidly in Edge computing, Internet of Things (IoT) contexts, and embedded systems. Despite this momentum, the Wasm research community lacks shared infrastructure. This project identifies key missing pieces of research infrastructure related tools and artifacts, such as good benchmarks, that need an open-source ecosystem to flourish.

• NSF award number 2229731
• Project website
• Open-source software

Project team members participating in the POSE Training Program:

Wild Me

Digital images and video have become the most ubiquitous and inexpensive data sources for wildlife research, especially when well designed scientific efforts can partner with the public to increase the breadth of coverage and volume of data. The open-source Wild Me ecosystem aids wildlife researchers at universities and local NGOs in curating large volumes of digital images and videos, employing a multistage machine learning pipeline to find, count, and individually identify wildlife to support population biology, social ecology, and more. This project will advance the Wild Me ecosystem through building an open-source managing organization responsible for community growth effort by engaging software professionals and scientists.

• NSF award number 2229782
• Project website
• Open-source software