[Cuga] "Fundamental Physics" session @ July 22-23 DOE "AI for Science" Town Hall meeting- a message from Paolo Calafiura

Fri Jul 5 07:52:19 EDT 2019

Dear Colleagues,

We are sending this message to several mailing lists to reach out to the High Energy and Nuclear Physics AI and ML community as broadly as possible. Please feel free to share this message with your colleagues, and sorry if you get it through multiple sources.

We are organizing the "Fundamental Physics" breakout session of the July 22-23 DOE "AI for Science Town Hall" meeting at Argonne National Lab. Below is the original invitation to the series of four town hall meetings, which provides an outline of the goals of these meetings, and links to the agendas.

Our goal is to collect a finite number of compelling Fundamental Physics problems that can benefit from AI approaches on a 3-5 year time scale and a 10-15 year time scale.

In this Google folder<https://urldefense.proofpoint.com/v2/url?u=https-3A__drive.google.com_open-3Fid-3D13kzmWT93gD73Sb8RBQpgGs-5FJ06bn4Z8O&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=kFCHhXTUbQTN8q4ROGqIrnUeyhlKOKMHRcpDz1D3unI&e=>, we have provided four google docs to collect topics on (1) HEP energy frontier physics, (2) intensity frontier physics, (3) nuclear physics, and (4) cosmology. We are asking for your input to make the strongest case possible for AI applications to Fundamental Physics at the town hall.  Additionally, we encourage all scientists (of all levels!) in Fundamental Physics areas to submit answers to a short survey regarding AI in Fundamental Physics: https://forms.gle/huQ77uW5fs8Zmznq6<https://urldefense.proofpoint.com/v2/url?u=https-3A__forms.gle_huQ77uW5fs8Zmznq6&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=B9KrEPbjibP5ryG4aQNI0TMH0mBWlNfXiwLOSQnqD8s&e=>.  We also prepared a slide deck<https://urldefense.proofpoint.com/v2/url?u=https-3A__docs.google.com_presentation_d_1JyAtx9aDrIMLgmQ-2D8gtD4GptweGBd-5FFI2QEr1V0yiSE_edit-3Fusp-3Dsharing&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=Soik4iqKzw9qanEd2Z5qDijz7nAQEH5qurfA7Nd5jEU&e=> to collect and present your problem/ideas in a slide.

Please contribute as soon as possible and in any case by July 14. Any material added after July 14 may not be incorporated in our breakout session. It will be made available for future town hall meetings in the series.

Thanks and please do not hesitate to contact us if you have questions, suggestions, etc

  Katrin Heitmann (heitmann at anl.gov<mailto:heitmann at anl.gov>),

  Paolo Calafiura (pcalafiura at lbl.gov<mailto:pcalafiura at lbl.gov>), and

  Corey Adams (corey.adams at anl.gov<mailto:corey.adams at anl.gov>)

Dear all,

Join us for one of the four upcoming AI for Science Town Hall meetings.

The DOE National Laboratories are convening four town hall meetings aimed at collecting community input on the opportunities and challenges facing the scientific community in the era of convergence of High Performance Computing (HPC) and artificial intelligence (AI) technologies and the expected integration of large-scale simulation, advanced data analysis, data driven predictive modeling, theory, and high-throughput experiments.

The town halls will engage the DOE science community in a series of broad and open discussions about opportunities that can be realized by advancing and accelerating the development of AI capabilities specifically for science and science use cases, by discussing applications opportunities from the DOE Office of Science as well as selected topics from energy and technology domains and will include approaches combining experiments, traditional modeling and simulation, and machine/deep learning, and specifically address those opportunities that include the DOE science user facilities. In addition to the domain centered questions, the meetings will convene broad expertise in software, data infrastructure, mathematics and AI foundations research, and hardware and architecture research. An underlying focus of all town halls will be data, including generation, curation, sharing, and acceleration of data-driven models. The town halls will not explicitly address data policy issues, but instead will focus on the scientific technical and computing issues.

Town Hall Outcomes

These town halls will frame the overall opportunities and the needed research and facilities advancements need to drive AI-related agendas in alignment with DOE missions. An integrated, consolidated town hall report from the four town halls will be delivered. The report will outline the most compelling problems where AI could have an impact and will outline the requirements needed for research and facilities to realize these opportunities.

Registration
The town halls are open to research staff at universities, national laboratories, and industry. Participants are responsible for their own expenses. Space is limited, registration is required, and will be prioritized across the Labs. Do not make any travel arrangements until you have received a confirmation email and have completed all registration steps. To attend an AI for Science Town Hall, begin by filling out the appropriate registration link found on the webpage: https://www.anl.gov/AITownHall2019<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.anl.gov_AITownHall2019&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=PvlpPUAeaMUfVJPuQhoCr9Sbs1RMOsbBx8UjEU3jG9c&e=>

Town Hall Information

Chicago AI for Science Town Hall
Argonne National Laboratory
July 22-23, 2019
To register for Argonne, click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.surveymonkey.com_r_AIforScienceTownHall&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=itQvLY8D_ZqMMRIn1qThPOFqtew84BB8MHipEkeqy0w&e=>
DRAFT Agenda: Click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__anl.app.box.com_s_r84d0rvjui40qcpr23l5f06f6wqtakbr&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=c_9JobNxInwqZCCZc9aGEVt4SZ0iCIk8_BIZXrpi4J4&e=>

Oak Ridge AI for Science Town Hall
Oak Ridge National Laboratory
August 20-21, 2019
To register for Oak Ridge, click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__aiforscience.ornl.gov_&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=ZHDcvLK9cZ2e7wjCN17FBtanseSanywqSKAU627BpmY&e=>
DRAFT Agenda: Click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__anl.box.com_s_qsdq7accdoe8kuqbs4i6xbljp3emcovi&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=sAiKyx9xn7O5QY8Ma3HPJv2QN2djYI0juUH3kunP0tY&e=>

Berkeley AI for Science Town Hall

Lawrence Berkeley National Laboratory

September 11-12, 2019
To register for Berkeley, click here<https://urldefense.proofpoint.com/v2/url?u=http-3A__bit.ly_SFAIforScienceTownHall2019&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=E2qbO-6c_0KE3FNSc7n88jYu_zPHLs5TjkUobmyHgDs&e=>
DRAFT Agenda: Click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__anl.box.com_s_fvjvjgjikyshqesx55oeini60eeppo87&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=YOcJIG4__NtD5ZBz88lp1R39YufQMC6PKTP5itg-QxI&e=>

Washington DC AI for Science Town Hall
October 22-23, 2019
To register for DC, click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__aiforscience.ornl.gov_register-2Dfor-2Dwashington-2Ddc_&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=JVTQE6CRTr6lBIRI249uM2T8ijeslyQgupdPyLrljSU&e=>
DRAFT Agenda: Click here<https://urldefense.proofpoint.com/v2/url?u=https-3A__anl.box.com_s_1me1yvk9d75iajsczhrg2ye03ggm2cpq&d=DwMFaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=TI1-uR1CNrL-lIqQDSyKdw&m=mUXtfaGufwZwi-IXZXQso3SGeI25K6JvS1hlKpJv7Mk&s=gMkCaQDBwMl632N-xbxsOOcBwDUwztBH1iP3K_0P50E&e=>

Feel free to share this invitation with your colleagues. We look forward to your participation at this exciting event.

Best regards,

Rick Stevens, Kathy Yelick, and Jeff Nichols

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