In order to enable an iCal export link, your account needs to have an API key created. This key enables other applications to access data from within Indico even when you are neither using nor logged into the Indico system yourself with the link provided. Once created, you can manage your key at any time by going to 'My Profile' and looking under the tab entitled 'HTTP API'. Further information about HTTP API keys can be found in the Indico documentation.
Additionally to having an API key associated with your account, exporting private event information requires the usage of a persistent signature. This enables API URLs which do not expire after a few minutes so while the setting is active, anyone in possession of the link provided can access the information. Due to this, it is extremely important that you keep these links private and for your use only. If you think someone else may have acquired access to a link using this key in the future, you must immediately create a new key pair on the 'My Profile' page under the 'HTTP API' and update the iCalendar links afterwards.
Permanent link for public information only:
Permanent link for all public and protected information:
Gerald D. Fischbach Auditorium (second floor) (Simons Foundation)
Gerald D. Fischbach Auditorium (second floor)
160 5th Ave, New York, NY 10010
Enter through the main lobby of 160 Fifth Avenue on the south side of 21st Street, just west of Fifth Avenue. The auditorium is accessible by elevator or stairs.
Simons Local: Ian Fisk, Christian Mueller --- DS@HEP Program & Data Sets : Maurizio Pierini, Jean-Roch Vlimant, Amir Farbin, Vava Gligorov, David Rousseau, Kyle Cranmer, Maria Spiropulu --- Involved in DS@LHC2015: Gilles Loupe, Andrew Lowe, Cecile Germain-Renaud, Daniel Whiteson
As a follow-up to the DS@LHC2015 (http://indico.cern.ch/event/395374/) we are organizing a hands-on workshop/hackshop on Data Science in High Energy Physics at the Simons Foundation in NY on July 5-7 2016. The workshop will bring together computer/data scientists and physicists and we expect to formulate new ideas and solutions for a variety of detection and physics analysis challenges. We will work on focus topics such as tracking, calorimetry, anomaly detection and newly emerging paradigms in machine learning (such as density ratio estimation) and try to stay close to challenges that involve the raw data. Given queries for remote participation the final program will be modified during the weekend of July 2 to accommodate remote participation. Please stay tuned and check back for updates on Monday.