El Paso Innovation Hub

FEBRUARY 19th, 2026: AI WITH COPILOT FOR NONPROFITS

An Interactive Working Session for Borderplex Nonprofits

Nonprofit organizations across the Borderplex are invited to join an interactive working session focused on using artificial intelligence to strengthen storytelling, communications, and mission impact.

Mission Amplified will introduce participants to generative AI tools like Microsoft Copilot and explore how nonprofits can use them to create compelling content, engage donors, articulate impact, and support fundraising efforts, all in a practical, hands-on setting.

This session is designed for nonprofit professionals of all experience levels, whether you’re just starting to explore AI or already experimenting with it in your work.

Who Should Attend?

This session is ideal for:

  • Nonprofit leaders and staff
  • Communications and marketing professionals
  • Development and fundraising teams
  • Anyone interested in using AI to enhance nonprofit impact

No prior AI experience is required.

Event Details

Date: February 19, 2026 Time: 9:30 AM-11:30 AM Location: Microsoft El Paso Innovation Hub 500 W Overland Ave, Ste 210 El Paso, TX 79901 Please Bring: A laptop for hands-on activities.

Nisaini Rexach is part of Microsoft Public Affairs, supporting TechSpark Chicago, where she works with community, education, and workforce partners to advance technology-driven economic opportunity across Chicago. Her work focuses on building strategic partnerships, supporting organizations aligned with Microsoft Philanthropies priorities, and leading initiatives that connect communities to skills, resources, and pathways in tech. She also serves as External Engagement Lead for Microsoft’s Worldwide Hispanics Employee Resource Group. Previously, Nisaini led workforce programming at i.c.stars and held leadership and instructional roles within Chicago Public Schools and the Noble Network of Charter Schools. She holds a Master of Education from Lehigh University and a Bachelor of Business Administration from Robert Morris University in Illinois, serves on the Board of Directors for Chicago Scholars, and is a member of the Teach For America Leadership Circle.

APRIL 16th, 2026: AI & MACHINE LEARNING FOR RESEARCH AND EDUCATION

Professionals, educators, researchers, and lifelong learners across the Borderplex are invited to join an interactive working session focused on how emerging technologies are being used to support learning, research, and creative problem-solving. This session explores practical applications of modern tools, including large language models (LLMs) and educational app development for educators, alongside machine learning techniques that help researchers analyze data, uncover patterns, and generate predictions.

Through real-world examples and demonstrations, participants will see how these tools are being used today in classroom settings, research projects, and professional workflows. Mission Amplified is designed as a participatory session where attendees can see how modern tools are being used in practice, ask questions, and explore how similar approaches might apply within their own industries or areas of interest. No prior technical background is required.

Who Should Attend?

This session is ideal for:

  • Educators and academic professionals
  • Researchers and students
  • Professionals interested in learning design, content creation, or digital tools
  • Community members curious about emerging technology and hands-on learning
  • Anyone interested in how technology can support learning and innovation across fields

No prior AI experience is required.

Event Details

Date: April 16th, 2026 Time: 9:30 AM-11:30 AM Location: Microsoft El Paso Innovation Hub 500 W Overland Ave, Ste 210 El Paso, TX 79901 Please Bring: A laptop for hands-on activities.

Jorge Alberto López Gallardo is a Professor of Physics at The University of Texas at El Paso with decades of experience in research, teaching, and educational innovation. Throughout his career, he has worked at the intersection of science, technology, and education, with research spanning physics, materials science, data analysis, and interdisciplinary applications. In recent years, Jorge has incorporated modern computational and language-based tools into course preparation, educational content creation, research projects, and experimental learning environments. He has led workshops on building educational applications, explored machine learning methods in research, and mentored students developing technology-driven learning tools. A dedicated educator and mentor, Jorge has held leadership roles at UTEP, collaborated with national and international research institutions, and received numerous awards for teaching, research, and mentoring. His work reflects a long-standing commitment to accessible education, hands-on learning, and building pathways into STEM and technology-driven fields.


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