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Board Of Trustees Of Southern Illinois University

$28,376,719

Total funding

72

Grants

Funding over time

peak $9.3M · FY2008–25

$10M$7.5M$5M$2.5M$0

'08

'09

'10

'11

'12

'13

'14

'15

'16

'17

'18

'19

'20

'21

'22

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'25

Funding mix

By agency

DOD$12,136,945 · 34

DOE$9,009,072 · 13

USDA$3,808,357 · 16

NASA$3,422,346 · 9

By mechanism

—$28,376,719 · 72

Investigators at Board Of Trustees Of Southern Illinois University

Investigator-initiated All funding

Investigatorsi

Rising Stars

First grant in the last 5 yrs

Not enough data

Emerging Leaders

6–10 yrs in

Not enough data

All-Time

Most funded here, all years

Not enough data

Largest grants

LONG RANGE LOW FREQUENCY HIGH AMPLITUDE ACOUSTICAL PROPORAGATION STUDY$3,886,900

· FY2008 · Department of the Army

UNDERSTANDING COMPOUND PHASE TRASITIONS IN NEW HEUSLER ALLOY COLOSSAL MAGNETOCALORIC MATERIALS$2,787,973

· FY2009 · Department of Energy

AROUND THE NATION, NASA'S FACILITIES SERVE AS CENTERS FOR RESEARCH AND ENGAGEMENT WITH FORMAL AND INFORMAL LEARNERS. THIS LATTER ROLE MAKES NASAS CEN$1,432,339

· FY2016 · National Aeronautics and Space Administration

FIRST PRINCIPLES BASED SIMULATION OF HYDROGEN INTERACTIONS IN COMPLEX HYDRIDES$1,211,208

· FY2008 · Department of Energy

SUPPORT OF THE "MONITORING POPULATION STATUS AND MOVEMENT OF NATIVE AND NON-NATIVE FISHES IN THE UPPER, MIDDLE, AND LOWER MISSISSIPPI RIVER"$1,114,379

· FY2008 · Department of the Army

UNDERSTANDING COMPOUND PHASE TRANSITION IN NEW HEUSLER ALLOY COLOSSAL MAGNETOCALORIC MATERIALS$1,049,816

· FY2008 · Department of Energy

ZOONIVERSE: GUERRILLA CITIZEN SCIENCEIN TODAY'S TECHNOLOGY DRIVEN SCIENCE, RESEARCHERS OFTEN FIND THEMSELVES INUNDATED WITH DATA REQUIRING HUMAN EYE$887,348

· FY2014 · National Aeronautics and Space Administration

NEW; TITLE: PROFESSIONAL SCIENCE MASTER'S IN ADVANCED ENERGY AND FUELS MANAGEMENT PROGRAM; PI: JOHN KOROPCHAK$832,372

· FY2009 · Department of Energy

RESEARCH ENTITLED: QUALIFICATIONS OF CANDLE FILTERS FOR PFBC APPLICATIONS$800,257

· FY2008 · Department of Energy

"NEW; TOWARDS A SCALABLE AND ADAPTIVE APPLICATION SUPPORT PLATFORM FOR LARGE-SCALE DISTRIBUTED E-SCIENCES IN HIGH-PERFORMANCE NETWORK ENVIRONMENTS; P$778,794

· FY2009 · Department of Energy

** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THANKS TO ADVANCEMENTS IN COMPUTATIONAL POWER, AGRICULTURISTS CAN NOW USE RICH DATA SOURCES TO EXPLORE NOVEL WAYS TO OPTIMIZE, IMPROVE, AND SUSTAIN PLANT PRODUCTION SYSTEMS. TO MEET THIS NEED, EMPLOYMENT OPPORTUNITIES FOR DATA SCIENTISTS ARE EXPECTED TO GROW BY 36% OVER THE NEXT DECADE. THE MOST DESIRABLE APPLICANTS FOR THESE POSITIONS WILL BE GRADUATES WHO CAN COLLABORATE EFFECTIVELY WITHIN A TEAM SETTING AND WHO HAVE AN UNDERSTANDING OF BOTH DATA SCIENCE AND THE LABORATORY, FIELD, AND GREENHOUSE SETTINGS WHERE DATA ARE GENERATED.THE OVERALL GOAL OF THIS PROJECT IS TO PROVIDE UNDERGRADUATE EXPERIENTIAL TRAINING OPPORTUNITIES THAT COMBINE DATA SCIENCE AND CROP SCIENCE. THE PROGRAM CONSISTS OF TWO TRACKS: THE EXPLORERS TRACK, AND THE FELLOWS TRACK. EXPLORERS WILL BE INTRODUCED TO THE APPLICATIONS OF DATA SCIENCE IN CROP SCIENCE THROUGH A WEEK-LONG SUMMER DATA SCIENCE BOOTCAMP WHERE THEY WILL USE COMPUTATIONAL SKILLSETS TO DERIVE MEANING FROM REAL-WORLD EXAMPLES, AND THEY WILL WORK IN TEAMS TO PRESENT THE FINDINGS OF THEIR SHORT PROJECTS. STUDENTS IN THE FELLOWS TRACK WILL BE IMMERSED IN A FULLY FUNDED, TWO-YEAR RESEARCH EXPERIENCE. FELLOWS WILL BE PLACED WITH A PROFESSOR IN A RESEARCH AREA OF THEIR CHOOSING TO GAIN PRACTICAL LABORATORY, GREENHOUSE, AND/OR FIELD EXPERIENCE. THEY WILL WORK WITH THEIR MENTORS TO DESIGN AN INDEPENDENT STUDY PROJECT THAT COMBINES THESE RESEARCH SKILLS WITH DATA SCIENCE, AND THEY WILL PRESENT THE RESULTS OF THEIR PROJECT TO THE SCIENTIFIC COMMUNITY AND TO THE PUBLIC. UPON COMPLETION OF THE PROJECT, 200 EXPLORERS AND 16 FELLOWS WILL HAVE BEEN TRAINED.$750,000

· FY2024 · National Institute of Food and Agriculture

CHEMICAL LIBRARY SCREENING FOR POTENTIAL THERAPEUTICS USING NOVEL CELL-BASED MODELS OF ALS$648,728

· FY2016 · Department of Defense

TAS::57 3600::TAS UNDERSTANDING LASER-CLUSTER INTERACTIONS IN THE X-RAY REGIME$566,021

· FY2014 · Department of the Air Force

LOW-COST, HIGH-THROUGHPUT 3D PULMONARY IMAGING USING HYPERPOLARIZED PROPANE GAS$553,125

· FY2020 · Defense Health Agency

GENOTYPING TO IDENTIFY PALLID STURGEON BROODSTOCK, REPRODUCTION, AND RECRUITMENT USING NEW TECHNOLOGY$538,799

· FY2022 · Department of the Army

THE UNIVERSAL ZOO: CITIZEN SCIENCE FROM THE MOON TO THE ULTRA DEEP FIELD:\NIN THE LAST DECADE ASTR$533,031

· FY2009 · National Aeronautics and Space Administration

LOW-COST, HIGH-THROUGHPUT 3D PULMONARY IMAGER USING HYPERPOLARIZED CONTRAST AGENTS AND LOW-FIELD MRI$532,878

· FY2015 · Department of the Army

**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THE FOOD AND AGRICULTURE INDUSTRY CONTINUES TO ADVANCE, REACHING NEW TECHNOLOGICAL MILESTONES THAT WERE ONCE THE TOPIC OF SCIENCE FICTION. WHILE THESE ADVANCEMENTS SHOULD BE CELEBRATED, THEY HAVE ALSO CREATED AN EMERGING PROBLEM IN WORKFORCE TRAINING. DIGITAL TECHNOLOGIES ARE ONLY USEFUL IF A WORKER UNDERSTANDS HOW TO USE THEM AND HOW TO INTERPRET THE DATA THEY GENERATE. HOWEVER, CURRICULAR TOPICS SUCH AS DATA ANALYTICS, GEOSPATIAL SOFTWARE, AND REMOTE SENSING HAVE TRADITIONALLY BEEN TAUGHT AS UPPER LEVEL COURSES AT FOUR-YEAR INSTITUTIONS. THIS LACK OF ACCESS TO CURRICULUM HAS CREATED A DIGITAL DIVIDE IN OUR WORKFORCE, PLACING BOTH THE EMERGING TECHNICAL WORKFORCE AND THE WORKFORCE IN NEED OF RETRAINING AT A SIGNIFICANT DISADVANTAGE. THE OVERALL GOAL OF THIS PROJECT IS TO REMOVE THE CURRICULAR BARRIER TO CREATING A TECHNOLOGY- AND DATA-SAVVY WORKFORCE. TO ACCOMPLISH THIS TASK, WE PROPOSE A THREE-PRONGED APPROACH: (1) THE CREATION OF ONLINE AND OPEN-SOURCE TRAINING MATERIALS WHICH MAYBE VIEWED INDEPENDENTLY OR INCORPORATED INTO CURRENT COURSES AT TECHNICAL COLLEGES, (2) THE AVAILABILITY OF REGIONAL FACE-TO-FACE TRAINING WORKSHOPS WHICH COVER THE DATA ACCESS, ANALYSIS, AND DECISION-MAKING CONCEPTS WHICH ARE MOST INTEGRAL TO THE FOOD AND AGRICULTURE INDUSTRY, AND (3) THE PILOTING OF TWO NEW INDUSTRY-ALIGNED CREDENTIALING PROGRAMS IN DATA ANALYSIS AND GEOSPATIAL INFORMATION SYSTEMS (GIS). AT THE CONCLUSION OF THIS WORK, IT IS EXPECTED THAT NOT ONLY WILL WE HAVE CREATED AND PILOTED A SUSTAINABLE WORKFORCE TRAINING PLATFORM, BUT ALSO TRAINED A MINIMUM OF 250 WORKSHOP PARTICIPANTS AND 32 INDUSTRY-CREDENTIALED STUDENTS IN EMERGING DATA AND TECHNOLOGY APPLICATIONS.$500,000

· FY2021 · National Institute of Food and Agriculture

OPTIMIZED MICROBIAL CONVERSION OF BITUMINOUS COAL TO METHANE FOR IN SITU AND EX SITU APPLICATIONS$499,989

· FY2014 · Department of Energy

**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** BETWEEN 2012 AND 2015, EAR ROTS OF MAIZE CAUSED A PREVENTABLE LOSS OF MORE THAN $3.1 BILLION FOR U.S. FARMERS. ONE PARTICULARLY PROBLEMATIC EAR ROT PATHOGEN IN THE NORTHERN MIDWEST IS GIBBERELLA EAR ROT (GER), LARGELY BECAUSE THE CAUSAL PATHOGEN, FUSARIUM GRAMINEARUM, CAN CAUSE FURTHER LOSS THROUGH THE DEPOSITION OF MYCOTOXINS IN THE GRAIN. A COMMON CONTROL STRATEGY FOR THE PREVENTION OF GER IS PLANTING RESISTANT MAIZE CULTIVARS.GENOMIC MODELING HAS REVOLUTIONIZED PLANT IMPROVEMENT, ENABLING THE SELECTION OF SUPERIOR CULTIVARS BASED ON GENOMIC DATA ALONE. HOWEVER, MOST AGRICULTURALLY IMPORTANT TRAITS, INCLUDING GER RESISTANCE, ARE SUBJECT TO ENVIRONMENTAL AND GENOTYPE-BY-ENVIRONMENT EFFECTS. BY CONSIDERING ONLY GENOMIC DATA, CURRENT GENOMIC SELECTION MODELS FAIL TO ACCOUNT FOR KNOWN SYSTEM DYNAMICS THAT INFLUENCE THE EXPRESSION OF THESE TRAITS. RATHER THAN RELYING ON GENOMIC DATA ALONE TO DEVELOP SUSTAINABLE STRATEGIES FOR THE PREVENTION OF POSTHARVEST LOSS, WE PROPOSE DEVELOPING HOLISTIC, SYSTEMS-BASED MACHINE LEARNING MODELS USING ENVIRONMENTAL, METABOLIC, AND GENOMIC DATA CONCURRENTLY. WE HYPOTHESIZE THAT THESE MODELS WILL ENABLE THE IDENTIFICATION OF RESISTANT GENETIC RESOURCES AND CAN PREDICT WHEN GER DISEASE PRESSURE WILL BE AN ISSUE FOR GROWERS. THIS RESEARCH WILL PROVIDE THE FOUNDATION FOR NOVEL MODELING METHODOLOGIES THAT CAN IMPROVE THE SUSTAINABILITY OF AGRICULTURAL PRODUCTION SYSTEMS. WE ENVISION THESE METHODS CAN BE EXTENDED TO MODEL OTHER CROPS AS WELL AS OTHER PATHOGEN AND INSECT PESTS.$499,113

· FY2020 · National Institute of Food and Agriculture