Innovative Research Program
The Innovative Research Program is designed to stimulate a creative research environment within CIRES and to encourage synergy between disciplines and research colleagues. The intent is to support small research efforts that can quickly provide concept viability or rule out further consideration. The program encourages novel, unconventional or fundamental research that might otherwise be difficult to fund. Funded projects are inventive, sometimes opportunistic, and do not necessarily have an immediate practical application or guarantee of success. This program supports pilot or exploratory studies, which may provide rapid results. Activities are not tightly restricted and can range from instrument development, lab testing, and field observations to model development, evaluation, and application.
The 2022 IRP competition opens February 14, 2022. Applications will be due March 28, 2022. Submit your proposal online. You must have a CIRES login and password to access the online application.
January 2022 update: CIRES is instituting a "Rapid IRP" to provide funds for research activities that are time-sensitive and urgent. Potential CIRES proposers should see the email or reach out to the Associate Director for Science for more information.
2022-02-14 to 2022-03-28
Machine Learning in Heliophysics
Welcome to the 2022 ML-Helio Conference!
Our conference management platform is Whova . This will provide all attendees with an easy-to-navigate schedule of events, with embedded Zoom links and access to the technical session recordings at the end of each day. Whova offers value to both virtual and in-person attendees and is available as an app or through a browser. We will send more information about Whova and how to use it as we get closer to the conference.
Your paid registration will grant you access to both Whova and our conference-specific Slack channel.
If you have any questions or comments, please email us at email@example.com.
We're looking forward to seeing you, in-person or virtually!
The goal of the ML- Helio conference is to leverage the advancements happening in disciplines such as machine learning, deep learning, statistical analysis, system identification, and information theory, in order to address long-standing questions and enable a higher scientific return on the wealth of available heliospheric data.
We aim at bringing together a cross-disciplinary research community: physicists in solar, heliospheric, magnetospheric, and aeronomy fields as well as computer and data scientists. ML- Helio will focus on the development of data science techniques needed to tackle fundamental problems in space weather forecasting, inverse estimation of physical parameters, automatic event identification, feature detection and tracking, times series analysis of dynamical systems, combination of physics-based models with machine learning techniques, surrogate models and uncertainty quantification.
The conference will consists of classic-style lectures, complemented by hands-on tutorials on Python tools and data resources available to the heliophysics machine learning community.
The conference will be hosted in hybrid mode (in-person and virtual).
We expect all the participants of Machine Learning in Heliophysics to follow our Code of Conduct.
COVID update: The conference organizers request that only fully vaccinated people (as defined by CDC guidelines ) or otherwise holding a valid medical exemption attend the conference in person. Attendees are expected to follow all CDC, state of Colorado, and CU Boulder public health orders, guidelines and policies in place at the time of the conference.
More info: https://ml-helio.github.io
2022-03-21 to 2022-03-25