VALLE
Planet Texas 2050 presents a look into South Texas - Rio Grande Valley water crisis.
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Marcelo De StefanoDirector
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Heidi SchmalbachProducer
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Tori Gene McCarthyProducer
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Tori Gene McCarthyDirector of Photography
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Dr. Francisco GuajardoCast/Voices
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Dr. Teresa Patricia FeriaCast/Voices
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Daniel RestrepoOriginal Music
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Luis FoncerradaSound Mix
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Andrew NeylonSound Mix
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Tabish KhanAssociate Producers
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Jonathan LowellAssociate Producers
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Ziming XieAssociate Producers
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Project Type:Documentary
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Runtime:7 minutes 55 seconds
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Completion Date:August 16, 2022
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Production Budget:4,000 USD
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Country of Origin:United States
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Country of Filming:United States
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Language:English, Spanish
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Shooting Format:Digital 4K
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Aspect Ratio:16:9
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Film Color:Color
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First-time Filmmaker:No
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Student Project:No
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Water, Texas Film FestivalAustin, Texas
United States
October 25, 2022
North American Premiere
Best Documentary Award
Documentary filmmaker from Saltillo, Coahuila, graduate in radio, television and film from the University of Texas at Austin. His thesis / documentary TOYAH about the Texan town of the same name, received its North American premiere at SXSW 2022 as part of the Longhorn Denius Showcase. It previously won the Audience Award at VERTIFILMS 2021 in Prague, Czech Republic and was nominated for Best Short Film at the 27th LINEA D'OMBRA 2022 in Salerno, Italy. His documentary work focuses on themes regarding immigration, Mexican diaspora, as well as the human intervened landscape shared between Texas and Mexico.
Marcelo is also a music video director and cinematographer. His commercial work has been presented at various other festivals such as Buenos Aires International Film Festival 2021, Austin Music Video Fest 2021 and Bogotá Music Video Fest 2021.
Most recently, he was chosen by filmmaker Richard Linklater to receive the 2022 TEXAS WATER FOUNDATION AWARD in recognition of his latest documentary film - VALLE.
Alongside collaborators in the lower Rio Grande Valley, research scientists at The University of Texas at Austin are working to create integrated models and tools to address a range of compounding and cascading impacts due to climate change–from intensified flooding to increased risk of soil, water, and insect-borne disease transmission.
The AI-enabled Model Integration Flagship harnesses the predictive capacity of high-powered computing and the wealth of knowledge within local communities and historical archives to provide actionable information to communities and to preserve and protect the people, cultures, and landscapes of this region.