Collaboration for Small-Scale Fisheries Reform. Lessons in Collective Impact for Systemic Change

As a worldwide collaboration of NGOs, businesses, funders, and governments, 50in10 aimed to help its partners take promising tools and approaches in small-scale fisheries restoration to the next level by testing, strengthening, and replicating them. In January 2016, 50in10 brought together three dozen 50in10 network members and stakeholders in Belize City to learn from one another, explore financing models, innovate new approaches, and discuss how network members could continue to replicate successes. The framework of the 50in10 Theory of Change—a collective impact approach in which community empowerment, policy reform, credible science, and market demand work together—as well as collaborative learning guided the convening. Participants prioritized sustainable financing, community engagement, scientific data, and enforcement and compliance as key areas in which innovation is needed to overcome obstacles to reform, and developed ideas for how to address these challenges

Concert recording 2021-10-29b

[Track 1]. Maestoso from Heroic music / Georg Philipp Telemann -- [Track 2]. Triptyque. I. Scherzo ; II. Largo ; III. Saltarelle / Henri Tomasi-- [Track 3]. Concerto for trumpet and orchestra / Alexandra Pakhmutova

Anxiety, Depression and Academic Performance

Anxiety and depression are common mental health issues among college students and can affect how a student will perform in school. Students with anxiety or depression have poorer academic performance when compared to students who do not. The method being used is a quantitative method of random sampling to ask college students if they have ever experienced anxiety and depression, and if it has affected their academic perfor­mance. The college students can vary in age, gender, race, and majors. The survey consists of ten multiple choice questions that will measure if the student has experienced anxiety or depression, how often, and if they feel like their academic performance has been affected. The data will be examined to see if there is a correlation. It was hypothesized that there will be a correlation between anxiety or depression and the students school performance

Concert recording 2022-05-19

[Track 1] Maya / Ian Clarke -- [Track 2] Souvenir Du Rigi, Op. 34 / Franz Doppler -- [Track 3] Dialogues for Flute and Trumpet. I. Allegro ; II. Largo quasi improvisando ; III. Adagio con espressione ; IV. Animato / Jindra Necasova -- [Track 4] Andante et Rondo / Franz Doppler -- [Track 5] Pavane Pour Une Infante Defunte / Maurice Ravel ; arr. Miranda Pham for Horn, Flute, and Piano -- [Track 6] Scherzo / Felix Mendelssohn

Web-Based VR Experiments Powered by the Crowd

We build on the increasing availability of Virtual Reality (VR) devices and Web technologies to conduct behavioral experiments in VR using crowdsourcing techniques. A new recruiting and validation method allows us to create a panel of eligible experiment participants recruited from Amazon Mechanical Turk. Using this panel, we ran three different crowdsourced VR experiments, each reproducing one of three VR illusions: place illusion, embodiment illusion, and plausibility illusion. Our experience and worker feedback on these experiments show that conducting Web-based VR experiments using crowdsourcing is already feasible, though some challenges---including scale---remain. Such crowdsourced VR experiments on the Web have the potential to finally support replicable VR experiments with diverse populations at a low cost.Comment: The Web Conference 2018 (WWW 2018); update citation forma

Concert recording 2022-05-19

[Track 1] Maya / Ian Clarke -- [Track 2] Souvenir Du Rigi, Op. 34 / Franz Doppler -- [Track 3] Dialogues for Flute and Trumpet. I. Allegro ; II. Largo quasi improvisando ; III. Adagio con espressione ; IV. Animato / Jindra Necasova -- [Track 4] Andante et Rondo / Franz Doppler -- [Track 5] Pavane Pour Une Infante Defunte / Maurice Ravel ; arr. Miranda Pham for Horn, Flute, and Piano -- [Track 6] Scherzo / Felix Mendelssohn