Conference Venue

Venue Information

• All talks, presentations, and breaks are in the East Campus Union.
• There is a bus service on Thursday, Friday, and partly on Saturday to and from the ECU and downtown (The Graduate).
• Some shuttle service and volunteer drivers will help transport attendees to and from the conference.
• Saturday and Sunday transportation will be mainly via hotel shuttles, volunteer drivers, and other private services (Uber, Lyft, etc).
• For those with their own vehicles, there are multiple parking lots near the main entrance to the ECU.
• Parking passes will be made available.

Nebraska East Union Floorplan

• Plains A – Great Plains Room A
• Plains B – Great Plains Room B
• Plains C – Great Plains Room C
• Prairie A – Prairie Suite A
• Prairie B – Prairie Suite B
• Prairie C – Prairie Suite C
• Arbor – Arbor Suite
• Garden – Garden Room

Travel & Transportation

All sessions will be held at the Nebraska East Union (NEU) at the East Campus of the University of Nebraska–Lincoln (UNL). The venue is about 3.9 miles from the conference hotel, The Graduate by Hilton, located in the Haymarket area of Downtown Lincoln.

• The hotel is next to the city campus of UNL, which is a different campus from where the conference is held.
• From the hotel, NEU is about 9 minutes by car and around 20 minutes by public bus.
• Public buses 24, 25 (weekdays only), 42, and 49 (weekdays and Saturday) run from downtown/city campus to the East Campus.
• Ride-hailing services like Uber are usually readily available.

East Campus Transit Details

• Note: The Miller Hall does not exist.
• Buses 24 and 25 run through the East Campus Loop. Nearest stop is in front of the UNL Dairy Store.
• Bus 42 travels on Holdredge Street. Nearest stop is Holdredge and 37th.
• Bus 49 travels through 33rd Street. Nearest stop is opposite the Quilt Museum.
• Closest bus stands to The Graduate are on P Street (behind the Manse building or opposite the Embassy Suites hotel).
• Buses accept fare ($1.25, no change) or passes available on the StarTran website.

Hosting Institution: The Department of Applied Mathematics and Statistics, Colorado School of Mines

• Colorado School of Mines (Mines) is a public university focused on science and engineering, dedicated to educating and inspiring students, advancing knowledge, and innovating to address the great challenges society faces today—particularly those related to the earth, energy, and the environment. Education and research in engineering, science, and business to solve the world’s most pressing challenges, particularly those related to the Earth, energy, and the environment. Colorado School of Mines educates students and advances knowledge in science, technology, engineering, and mathematics to address the ever-growing challenges, demands and aspirations of today’s world. With cutting-edge classroom and lab experiences, trailblazing research and future-focused ideas, Mines empowers its students, faculty, and staff to achieve excellence and push the boundaries of what is possible.

  

• Founded in 1874 with specialties in mining and metallurgy, Mines has since expanded its mission well beyond the extraction and use of natural resources. While still a powerhouse in mining, petroleum, and earth sciences, the university has become a world leader in advancing responsible stewardship of the Earth, discovering, and synthesizing new materials, and developing innovative ways of harnessing traditional and novel energy sources. Mines continually enhances its leadership in education and research to serve and advance industry, government agencies and communities around the world. By maximizing its top-ranked academic programs, close industry connections, cutting-edge research and a global alumni network, Mines is the go-to place for distinction and expertise in both established and emerging engineering and scientific fields

  

• The Department of Applied Mathematics and Statistics (AMS) ties together foundational research and teaching of Computational and Applied Mathematics as well as Statistics with interdisciplinary applications in the areas of Bio, Geo, Data, and Risk. AMS’ strong emphasis on research includes applied mathematics and wave phenomena, applied statistics, computational mathematics and analysis, and mathematical biology and biostatistics. AMS is currently comprised of approximately 25 faculty members, 2 postdoctoral teaching fellows, 12-15 adjunct faculty members, 2 staff members, 50 graduate students and approximately 150 undergraduate students.

  
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