The new contributors may come from the public, private and academic sectors, and may be part of the Foundation through direct investment as well as the transfer of technology, knowledge, and human talent.

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The incorporation of Universidad Adolfo Ibáñez, a founding partner of DO, in REUNA’s very high-speed fibre optic digital data highway will undoubtedly collaborate with the performance of Data Observatory’s future initiatives. Carlos Jerez, interim executive director of DO, celebrated this accomplishment as it will strengthen DO infrastructure at the onset of a summon for new strategic contributors.

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As a result of the ex-ante control that was passed by the Comptroller General of the Republic, the Data Observatory Foundation celebrated its first extraordinary session, including the participation of Ministers Andrés Couvé and Lucas Palacios, with the purpose of preparing the process for summoning new partners.

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Upon the completion of this milestone, Data Observatory will release a call for new simple and strategic contributors within the public, private and academic sectors, offering participation through direct investment or through the transfer of technology, knowledge and human talent.

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From the 13th to the 15th of April, with the participation of almost 120 international participants, the second part of the LSSTC Enabling Science 2021 Broker Workshop series was held, with a virtual seminar co-organized by ALeRCE, a Chilean astronomical broker led by the Center for Mathematic Modeling (CMM) at Universidad de Chile, Data Observatory (DO), the Millennium Institute of Astrophysics (MAS), and several institutions in Chile and the United States of America; as well as Fink, a French astronomical broker. ALeRCE became a part of DO's project portfolio in September, 2020.

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In only 10 minutes, the platform provided Landsat images of the wetland located on the southeast side of the Copiapó Volcano between the years 1984 and 2020, confirming the changes in vegetation that are linked to local mining activity. Open Data Cube is a tool that is compatible with any type of study using terrestrial satellite monitoring data, and is highly scalable, efficient and precise.

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