The CSSI 2019 workshop was held on October 28-29, 2019, in Austin, Texas. The main objectives of this workshop were to (1) understand the impact of the CSSI program on the community over the last 9 years, (2) engage workshop participants in identifying gaps and opportunities in the current CSSI landscape, (3) gather ideas on the cyberinfrastructure needs and expectations of the community with respect to the CSSI program, and (4) prepare a report summarizing the feedback gathered from the community that can inform the future solicitations of the CSSI program. The workshop participants included a diverse mix of researchers and practitioners from academia, industry, and national laboratories. The participants belonged to diverse domains such as quantum physics, computational biology, High Performance Computing (HPC), and library science. Almost 50% participants were from computer science domain and roughly 50% were from non-computer science domains. As per the self-reported statistics, roughly 27% of the participants were from the different underrepresented groups as defined by the National Science Foundation (NSF). The workshop brought together different stakeholders interested in provisioning sustainable cyberinfrastructure that can power discoveries impacting the various fields of science and technology and maintaining the nation's competitiveness in the areas such asmore »
The International Virus Bioinformatics Meeting 2022
The International Virus Bioinformatics Meeting 2022 took place online, on 23–25 March 2022, and has attracted about 380 participants from all over the world. The goal of the meeting was to provide a meaningful and interactive scientific environment to promote discussion and collaboration and to inspire and suggest new research directions and questions. The participants created a highly interactive scientific environment even without physical face-to-face interactions. This meeting is a focal point to gain an insight into the state-of-the-art of the virus bioinformatics research landscape and to interact with researchers in the forefront as well as aspiring young scientists. The meeting featured eight invited and 18 contributed talks in eight sessions on three days, as well as 52 posters, which were presented during three virtual poster sessions. The main topics were: SARS-CoV-2, viral emergence and surveillance, virus–host interactions, viral sequence analysis, virus identification and annotation, phages, and viral diversity. This report summarizes the main research findings and highlights presented at the meeting.
- Authors:
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Award ID(s):
- 1951678
- Publication Date:
- NSF-PAR ID:
- 10327854
- Journal Name:
- Viruses
- Volume:
- 14
- Issue:
- 5
- Page Range or eLocation-ID:
- 973
- ISSN:
- 1999-4915
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Since the summer of 2006, the NSF-funded AERIM Research Experience for Undergraduates (REU) program in the department of Mechanical Engineering at Oakland University has been offering rich research, professional development, networking and cohort-building experiences to undergraduate students in the science, technology, engineering and math (STEM) fields. With a focus on hands-on automotive and energy research projects and a proximity to many automotive companies, the program has been successful at attracting a diverse group of students. In fact, a total of 104 students from 70 different universities have participated in the program over the past 15 years, with about 70% of the participants coming from groups that have traditionally been underrepresented in engineering (women in particular). Most research projects have been team-based and have typically involved experimental and analytical work with perhaps a handful of numerical simulation-based projects over the years. Prior assessment has shown that students greatly valued and benefited from interacting with faculty mentors, industry professionals, industry tours, and each other. As a result of limitations placed on in-person meeting and on-campus activities impacted by the Covid-19 pandemic, the program had to pivot to a virtual format in the summer of 2021. This virtual format brought about several challengesmore »
-
In 2019, University of Houston (UH) at Houston, Texas was awarded an NSF Research Experience for Teachers (RET) site grant titled “RET Site: High School Teacher Experience in Engineering Design and Manufacturing.” The goal of the project is to host 12 high school teachers each summer to participate in engineering design and manufacturing research and then convert their experience into high school curriculum. In summer of 2021, the first cohort of 12 teachers from Region 4 of Southeast Texas participated in the RET program at UH College of Technology (COT). This six-week program, open to local high school STEM teachers in Texas, sought to advance educators’ knowledge of concepts in design and manufacturing as a means of enriching high school curriculums and meeting foundational standards set by 2013’s Texas House Bill 5. These standards require enhanced STEM contents in high school curricula as a prerequisite for graduation, detailed in the Texas Essential Knowledge and Skills standard. Due to the pandemic situation, about 50% of the activities are online and the rest are face to face. About 40% of the time, teachers attended online workshops to enhance their knowledge of topics in engineering design and manufacturing before embarking on applicable researchmore »
-
Objective Over the past decade, we developed and studied a face-to-face video-based analysis-of-practice professional development (PD) model. In a cluster randomized trial, we found that the face-to-face model enhanced elementary science teacher knowledge and practice and resulted in important improvements to student science achievement (student treatment effect, d = 0.52; Taylor et al, 2017; Roth et al, 2018). The face-to-face PD model is expensive and difficult to scale. In this paper, we present the results of a two-year design-based research study to translate the face-to-face PD into a facilitated online PD experience. The purpose is to create an effective, flexible, and cost-efficient PD model that will reach a broader audience of teachers. Perspective/Theoretical Framework The face-to-face PD model is grounded in situated cognition and cognitive apprenticeship frameworks. Teachers engage in learning science content and effective science teaching practices in the context in which they will be teaching. There are scaffolded opportunities for teachers to learn from analysis of model videos by experienced teachers, to try teaching model units, to analyze video of their own teaching efforts, and ultimately to develop their own unit, with guidance. The PD model attends to the key features of effective PD as described by Desimonemore »
-
Responding to the need to teach remotely due to COVID-19, we used readily available computational approaches (and developed associated tutorials (https://mdh-cures-community.squarespace.com/virtual-cures-and-ures)) to teach virtual Course-Based Undergraduate Research Experience (CURE) laboratories that fulfil generally accepted main components of CUREs or Undergraduate Research Experiences (UREs): Scientific Background, Hypothesis Development, Proposal, Experiments, Teamwork, Data Analysis, Conclusions, and Presentation1. We then developed and taught remotely, in three phases, protein-centric CURE activities that are adaptable to virtually any protein, emphasizing contributions of noncovalent interactions to structure, binding and catalysis (an ASBMB learning framework2 foundational concept). The courses had five learning goals (unchanged in the virtual format),focused on i) use of primary literature and bioinformatics, ii) the roles of non-covalent interactions, iii) keeping accurate laboratory notebooks, iv) hypothesis development and research proposal writing, and, v) presenting the project and drawing evidence based conclusions The first phase, Developing a Research Proposal, contains three modules, and develops hallmarks of a good student-developed hypothesis using available literature (PubMed3) and preliminary observations obtained using bioinformatics, Module 1: Using Primary Literature and Data Bases (Protein Data Base4, Blast5 and Clustal Omega6), Module 2: Molecular Visualization (PyMol7 and Chimera8), culminating in a research proposal (Module 3). Provided rubrics guide student expectations. Inmore »