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Western New England U.

Rankings

Data year Earned doctorates Full-time graduate students Total R&D expenditures
Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked Rank Percentile Institutions ranked
2023 345 25.6 459 559 18.5 679 392 35.6 602 668 27.7 914
2022 368 20.3 457 560 18.5 680 558 38.7 900
2021 396 12.3 447 563 19.4 691 544 40.7 908
2020 351 22.8 450 564 20 698 754 18.5 916
2019 412 8.8 447 556 21.1 697 856 7.3 914
2018 402 7 428 551 22.1 700 778 15.5 911
2017 386 10.1 425 556 19.6 684 354 39.1 575 734 19.1 898
2016 568 19.4 697 599 33.8 896
2015 357 17.1 426 564 19.5 693 583 35.8 898
2014 556 20 688 716 20.3 889
NOTES:
  • 1. See TableBuilder for the prior year data.
  • 2. Blank white cells indicate data not available, not applicable, or institution not eligible for survey.
  • 3. Data from the Survey of Science and Engineering Research Facilities is collected every two years.
Data sources
Download all tables in Excel formatzip file.

Data

Number of earned doctorates, by trend major field of study of recipients: 2023–14
Fields 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All fields 12 7 4 9 3 3 4 . 7 .
  Science and engineering 12 7 4 9 3 3 4 . 7 .
    Engineering 2 2 . 2 1 2 . . . .
      Industrial engineering and operations research 1 . . 1 . 1 . . . .
      Engineering, other 1 2 . 1 1 1 . . . .
    Psychology 10 5 4 7 2 1 4 . 7 .
      Counseling and applied psychology 10 5 4 6 2 1 3 . 4 .
      Psychology, other . . . 1 . . 1 . 3 .

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Survey of Earned Doctorates

Full-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
    Male 36 i 39 10 10 9 11 10 7 7 7
    Female 9 i 9 34 35 35 35 32 36 35 31
  U.S. citizens and permanent residents 21 i 22 41 41 41 45 39 37 36 34
    Hispanic or Latino 1 i 1 2 2 1 2 2 3 3 2
    Not Hispanic or Latino 12 i 13 28 32 30 31 26 23 24 24
      American Indian or Alaska Native 0 i 0 0 0 0 0 0 0 0 0
      Asian 0 i 0 2 1 1 1 1 1 0 1
      Black or African American 0 i 0 1 1 1 1 1 1 1 0
      Native Hawaiian or Other Pacific Islander 0 i 0 0 0 0 0 0 0 0 0
      White 12 i 13 24 29 27 28 24 21 23 23
      More than one race 0 i 0 1 1 1 1 0 0 0 0
    Unknown ethnicity and race 8 i 8 11 7 10 12 11 11 9 8
  Temporary visa holders 24 i 26 3 4 3 1 3 6 6 4
  Science and engineering 45 i 48 44 45 44 46 42 43 42 38
    Science 7 i 7 44 45 44 46 42 43 42 38
      Agricultural and veterinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 i 0 0 0 0 0 0 0 0 0
      Communication 0 i 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 i 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 i 0 0 0 0 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 i 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 i 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 i 0 0 0 0 0 0 0 0 0
      Physical sciences 0 i 0 0 0 0 0 0 0 0 0
      Psychology 7 i 7 44 45 44 46 42 43 42 38
      Social sciences 0 i 0 0 0 0 0 0 0 0 0
    Engineering 38 i 41 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 i 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 i 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 i 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 19 i 20 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 10 i 11 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 9 i 10 0 0 0 0 0 0 0 0
      Mechanical engineering 0 i 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Other engineering 0 i 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 i 0 0 0 0 0 0 0 0 0
    Other health 0 i 0 0 0 0 0 0 0 0 0

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Part-time graduate students in science, engineering, and health, by selected characteristics: 2023–14
All races 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
    Male 25 i 25 44 45 47 49 62 74 51 50
    Female 97 i 98 90 112 109 107 108 106 103 93
  U.S. citizens and permanent residents 112 i 113 127 147 148 142 137 139 135 130
    Hispanic or Latino 11 i 11 13 16 11 9 6 5 5 4
    Not Hispanic or Latino 89 i 90 106 124 122 118 109 106 93 88
      American Indian or Alaska Native 0 i 0 0 0 1 1 1 1 0 1
      Asian 5 i 5 3 2 5 10 9 8 5 3
      Black or African American 3 i 3 5 7 7 6 7 5 5 5
      Native Hawaiian or Other Pacific Islander 0 i 0 0 0 0 0 0 0 0 0
      White 78 i 79 96 111 108 100 91 90 80 75
      More than one race 3 i 3 2 4 1 1 1 2 3 4
    Unknown ethnicity and race 12 i 12 8 7 15 15 22 28 37 38
  Temporary visa holders 10 i 10 7 10 8 14 33 41 19 13
  Science and engineering 122 i 123 134 157 156 156 170 180 154 143
    Science 113 i 114 96 121 120 119 121 117 116 107
      Agricultural and veterinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 i 0 0 0 0 0 0 0 0 0
      Communication 0 i 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 i 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 i 0 0 0 0 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 i 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 i 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 i 0 0 0 0 0 0 0 0 0
      Physical sciences 0 i 0 0 0 0 0 0 0 0 0
      Psychology 113 i 114 96 121 120 119 121 117 116 107
      Social sciences 0 i 0 0 0 0 0 0 0 0 0
    Engineering 9 i 9 38 36 36 37 49 63 38 36
      Aerospace, aeronautical, and astronautical engineering 0 i 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 i 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 i 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 1 i 1 5 2 2 2 3 2 0 0
      Electrical, electronics, communications and computer engineering 5 i 5 8 12 12 10 14 26 16 17
      Industrial, manufacturing, systems engineering and operations research 3 i 3 3 3 3 4 6 4 0 0
      Mechanical engineering 0 i 0 22 19 19 21 26 31 22 19
      Metallurgical, mining, materials and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Other engineering 0 i 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 i 0 0 0 0 0 0 0 0 0
    Other health 0 i 0 0 0 0 0 0 0 0 0

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Full-time graduate students in science, engineering, and health receiving primary support from federal sources, by field: 2023–14
Field 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All surveyed fields 0 i 0 0 0 0 0 0 0 0 0
  Science and engineering 0 i 0 0 0 0 0 0 0 0 0
    Science 0 i 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 i 0 0 0 0 0 0 0 0 0
      Communication 0 i 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 i 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 i 0 0 0 0 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 i 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 i 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 i 0 0 0 0 0 0 0 0 0
      Physical sciences 0 i 0 0 0 0 0 0 0 0 0
      Psychology 0 i 0 0 0 0 0 0 0 0 0
      Social sciences 0 i 0 0 0 0 0 0 0 0 0
    Engineering 0 i 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 i 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 i 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 i 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 i 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 i 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 i 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Other engineering 0 i 0 0 0 0 0 0 0 0 0
  Health 0 i 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 i 0 0 0 0 0 0 0 0 0
    Other health 0 i 0 0 0 0 0 0 0 0 0

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Full-time graduate students in science, engineering, and health, by type and primary source of support: 2023–14
Type and primary source of support 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All types and sources of support 45 i 48 44 45 44 46 42 43 42 38
  Fellowships 3 i 3 4 5 6 6 5 0 6 6
    Federal 0 i 0 0 0 0 0 0 0 0 0
    Institutional 3 i 3 4 5 6 6 5 0 6 6
    Nonfederal 0 i 0 0 0 0 0 0 0 0 0
  Research assistantships 0 i 0 0 0 0 0 0 4 0 0
    Federal 0 i 0 0 0 0 0 0 0 0 0
    Institutional 0 i 0 0 0 0 0 0 4 0 0
    Nonfederal 0 i 0 0 0 0 0 0 0 0 0
  Teaching assistantships 0 i 0 0 0 0 0 0 0 0 0
    Federal 0 i 0 0 0 0 0 0 0 0 0
    Institutional 0 i 0 0 0 0 0 0 0 0 0
    Nonfederal 0 i 0 0 0 0 0 0 0 0 0
  Other types of support 42 i 45 40 40 38 40 37 39 36 32
    Federal 0 i 0 0 0 0 0 0 0 0 0
    Institutional 0 i 0 0 0 0 0 0 0 0 0
    Nonfederal 0 i 0 0 0 0 0 0 0 0 0
    Personal resources 42 i 45 40 40 38 40 37 39 36 32

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Postdoctorates in science, engineering, and health, by selected characteristics: 2023–14
All races 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
  Science and engineering 0 i 0 0 0 0 0 0 0 0 0
    Science 0 i 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 i 0 0 0 0 0 0 0 0 0
      Communication 0 i 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 i 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 i 0 0 0 0 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 i 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 i 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 i 0 0 0 0 0 0 0 0 0
      Physical sciences 0 i 0 0 0 0 0 0 0 0 0
      Psychology 0 i 0 0 0 0 0 0 0 0 0
      Social sciences 0 i 0 0 0 0 0 0 0 0 0
    Engineering 0 i 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 i 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 i 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 i 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 i 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 i 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 i 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Other engineering 0 i 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 i 0 0 0 0 0 0 0 0 0
    Other health 0 i 0 0 0 0 0 0 0 0 0

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Federally supported science, engineering, and health postdoctorates, by field: 2023–14
Field 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
All surveyed fields 0 i 0 0 0 0 0 0 0 0 0
  Science and engineering 0 i 0 0 0 0 0 0 0 0 0
    Science 0 i 0 0 0 0 0 0 0 0 0
      Agricultural and veterinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Biological and biomedical sciences 0 i 0 0 0 0 0 0 0 0 0
      Communication 0 i 0 0 0 0 0 0 0 0 0
      Computer and information sciences 0 i 0 0 0 0 0 0 0 0 0
      Family and consumer sciences and human sciences 0 i 0 0 0 0 0 0 0 0 0
      Geosciences, atmospheric, and ocean sciences 0 i 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 0 i 0 0 0 0 0 0 0 0 0
      Multidisciplinary and interdisciplinary sciences 0 i 0 0 0 0 0 0 0 0 0
      Natural resources and conservation 0 i 0 0 0 0 0 0 0 0 0
      Physical sciences 0 i 0 0 0 0 0 0 0 0 0
      Psychology 0 i 0 0 0 0 0 0 0 0 0
      Social sciences 0 i 0 0 0 0 0 0 0 0 0
    Engineering 0 i 0 0 0 0 0 0 0 0 0
      Aerospace, aeronautical, and astronautical engineering 0 i 0 0 0 0 0 0 0 0 0
      Biological, biomedical, and biosystems engineering 0 i 0 0 0 0 0 0 0 0 0
      Chemical, petroleum, and chemical-related engineering 0 i 0 0 0 0 0 0 0 0 0
      Civil, environmental, transportation and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Electrical, electronics, communications and computer engineering 0 i 0 0 0 0 0 0 0 0 0
      Industrial, manufacturing, systems engineering and operations research 0 i 0 0 0 0 0 0 0 0 0
      Mechanical engineering 0 i 0 0 0 0 0 0 0 0 0
      Metallurgical, mining, materials and related engineering fields 0 i 0 0 0 0 0 0 0 0 0
      Other engineering 0 i 0 0 0 0 0 0 0 0 0
  Health 0 i 0 0 0 0 0 0 0 0 0
    Clinical medicine 0 i 0 0 0 0 0 0 0 0 0
    Other health 0 i 0 0 0 0 0 0 0 0 0

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Fields of study are grouped as they appear in survey data table (https://www.nsf.gov/statistics/srvygradpostdoc/#tabs-2).

SOURCE: National Center for Science and Engineering Statistics, Survey of Graduate Students and Postdoctorates in Science and Engineering

Total R&D expenditures, by field: 2023–14
(Dollars in thousands)
Field 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
  All R&D fields 1,115 2,052 1,973 505 283 478 610 1,291 1,348 593
    Science 429 588 376 147 191 340 240 600 362 267
      Computer and information sciences 76 69 114 39 82 41 59 35 21 29
      Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 0 0 0 0 0 0
        Atmospheric science and meteorology 0 0 0 0 0 0 0 0 0 0
        Geological and earth sciences 0 0 0 0 0 0 0 0 0 0
        Ocean sciences and marine sciences 0 0 0 0 0 0 0 0 0 0
        Geosciences, atmospheric sciences, and ocean sciences nec 0 0 0 0 0 0 0 0 0 0
      Life sciences 318 467 214 79 105 284 141 499 157 178
        Agricultural sciences 0 0 0 0 0 0 0 0 0 0
        Biological and biomedical sciences 0 333 0 0 0 0 20 108 0 0
        Health sciences 318 134 0 0 0 0 121 391 0 0
        Natural resources and conservation 0 0 0 0 0 0 0 0 0 0
        Life sciences nec 0 0 0 0 0 0 0 0 0 0
      Mathematics and statistics 35 50 47 29 0 8 33 63 180 52
      Physical sciences 0 0 0 0 0 0 0 0 4 7
        Astronomy and astrophysics 0 0 0 0 0 0 0 0 0 0
        Chemistry 0 0 0 0 0 0 0 0 0 0
        Materials science 0 0 0 0 0 0 0 0 0 0
        Physics 0 0 0 0 0 0 0 0 0 0
        Physical sciences nec 0 0 0 0 0 0 0 0 0 0
      Psychology 0 2 1 0 4 7 7 3 0 1
      Social sciences 0 0 0 0 0 0 0 0 0 0
        Anthropology 0 0 0 0 0 0 0 0 0 0
        Economics 0 0 0 0 0 0 0 0 0 0
        Political science and government 0 0 0 0 0 0 0 0 0 0
        Sociology, demography, and population studies 0 0 0 0 0 0 0 0 0 0
        Social sciences nec 0 0 0 0 0 0 0 0 0 0
      Sciences nec 0 0 0 0 0 0 0 0 0 0
    Engineering 686 1,464 1,597 358 92 138 311 654 956 312
    Engineering 0 0 1,597 358 92 138 0 0 956 312
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0 0 0 0
      Bioengineering and biomedical engineering 52 34 0 0 0 0 5 13 0 0
      Chemical engineering 0 0 0 0 0 0 0 0 0 0
      Civil engineering 181 186 0 0 0 0 17 266 0 0
      Electrical, electronic, and communications engineering 155 819 0 0 0 0 10 127 0 0
      Industrial and manufacturing engineering 75 54 0 0 0 0 90 160 0 0
      Mechanical engineering 223 371 0 0 0 0 189 88 0 0
      Metallurgical and materials engineering 0 0 0 0 0 0 0 0 0 0
      Engineering nec 0 0 0 0 0 0 0 0 0 0
    Non-S&E 0 0 0 0 0 0 59 37 30 14
      Business management and business administration 0 0 0 0 0 0 4 6 0 0
      Communication and communications technologies 0 0 0 0 0 0 1 2 0 0
      Education 0 0 0 0 0 0 0 0 0 0
      Humanities 0 0 0 0 0 0 6 1 0 0
      Law 0 0 0 0 0 0 2 1 0 0
      Social work 0 0 0 0 0 0 0 0 0 0
      Visual and performing arts 0 0 0 0 0 0 0 1 0 0
      Non-S&E nec 0 0 0 0 0 0 46 26 0 0

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Prior to FY 2016, expenditures for natural resources and conservation, materials science, anthropology, and industrial and manufacturing engineering were not collected separately. R&D expenditures in agricultural sciences decreased in FY 2016 because a number of disciplines previously reported in that field are now reported separately under natural resources and conservation.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Total R&D expenditures, by source of funds and R&D field: 2023
(Dollars in thousands)
Field All R&D expenditures Federal government State and local government Institution funds Business Nonprofit organizations All other sources
  All R&D fields 1,115 538 54 302 89 132 0
    Science 429 194 0 38 79 118 0
      Computer and information sciences 76 76 0 0 0 0 0
      Geosciences, atmospheric sciences, and ocean sciences 0 0 0 0 0 0 0
        Atmospheric science and meteorology 0 0 0 0 0 0 0
        Geological and earth sciences 0 0 0 0 0 0 0
        Ocean sciences and marine sciences 0 0 0 0 0 0 0
        Geosciences, atmospheric sciences, and ocean sciences nec 0 0 0 0 0 0 0
      Life sciences 318 83 0 38 79 118 0
        Agricultural sciences 0 0 0 0 0 0 0
        Biological and biomedical sciences 0 0 0 0 0 0 0
        Health sciences 318 83 0 38 79 118 0
        Natural resources and conservation 0 0 0 0 0 0 0
        Life sciences nec 0 0 0 0 0 0 0
      Mathematics and statistics 35 35 0 0 0 0 0
      Physical sciences 0 0 0 0 0 0 0
        Astronomy and astrophysics 0 0 0 0 0 0 0
        Chemistry 0 0 0 0 0 0 0
        Materials science 0 0 0 0 0 0 0
        Physics 0 0 0 0 0 0 0
        Physical sciences nec 0 0 0 0 0 0 0
      Psychology 0 0 0 0 0 0 0
      Social sciences 0 0 0 0 0 0 0
        Anthropology 0 0 0 0 0 0 0
        Economics 0 0 0 0 0 0 0
        Political science and government 0 0 0 0 0 0 0
        Sociology, demography, and population studies 0 0 0 0 0 0 0
        Social sciences nec 0 0 0 0 0 0 0
      Sciences nec 0 0 0 0 0 0 0
    Engineering 686 344 54 264 10 14 0
      Aerospace, aeronautical, and astronautical engineering 0 0 0 0 0 0 0
      Bioengineering and biomedical engineering 52 41 0 0 10 1 0
      Chemical engineering 0 0 0 0 0 0 0
      Civil engineering 181 113 0 68 0 0 0
      Electrical, electronic, and communications engineering 155 1 0 154 0 0 0
      Industrial and manufacturing engineering 75 56 0 6 0 13 0
      Mechanical engineering 223 133 54 36 0 0 0
      Metallurgical and materials engineering 0 0 0 0 0 0 0
      Engineering nec 0 0 0 0 0 0 0
    Non-S&E 0 0 0 0 0 0 0
      Business management and business administration 0 0 0 0 0 0 0
      Communication and communications technologies 0 0 0 0 0 0 0
      Education 0 0 0 0 0 0 0
      Humanities 0 0 0 0 0 0 0
      Law 0 0 0 0 0 0 0
      Social work 0 0 0 0 0 0 0
      Visual and performing arts 0 0 0 0 0 0 0
      Non-S&E nec 0 0 0 0 0 0 0

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Prior to FY 2016, expenditures for natural resources and conservation, materials science, anthropology, and industrial and manufacturing engineering were not collected separately. R&D expenditures in agricultural sciences decreased in FY 2016 because a number of disciplines previously reported in that field are now reported separately under natural resources and conservation.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Federally funded R&D expenditures, by federal agency: 2023–14
(Dollars in thousands)
Source of funds 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014
Federal Agencies 538 648 . . . . 214 581 . .
  DOD 0 0 . . . . 0 28 . .
  DOE 3 147 . . . . 0 28 . .
  HHS 83 134 . . . . 113 215 . .
  NASA 0 0 . . . . 0 0 . .
  NSF 341 274 . . . . 87 309 . .
  USDA 0 0 . . . . 0 0 . .
  Other 111 93 . . . . 14 1 . .

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Headcount of R&D personnel: 2023–17 [temporarily discontinued]
Year
2023 . . . .
2022 . . . .
2021 . . . .
2020 . . . .
2019 . . . .
2018 . . . .
2017 62 6 56 .

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.

SOURCE: National Center for Science and Engineering Statistics, Higher Education R&D Survey

Science and engineering research space in academic institutions, by field: 2023–14
(Net assignable square feet in thousands)
Field, medical school space, and research animal space 2023 2021 2019 2017 2015
  All research space 70 i . . 80 i .
    Agricultural sciences 0 i . . 0 i .
    Biological and biomedical sciences 13 i . . 23 i .
    Computer and information sciences 5 i . . 5 i .
    Engineering 24 i . . 23 i .
    Geosciences, atmospheric sciences, and ocean sciences 0 i . . 0 i .
    Health sciences 0 i . . 0 i .
    Mathematics and statistics 2 i . . 3 i .
    Natural resources and conservation 0 i . . 0 i .
    Physical sciences 15 i . . 15 i .
    Psychology 5 i . . 5 i .
    Social sciences 5 i . . 5 i .
    Other 0 i . . 0 i .

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Data from the Survey of Science and Engineering Research Facilities is collected every two years.

SOURCE: National Center for Science and Engineering Statistics, Survey of Science and Engineering Research Facilities

New construction of science and engineering research space, by field and time of construction: 2025–16
(Net assignable square feet in thousands)

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Data from the Survey of Science and Engineering Research Facilities is collected every two years.

SOURCE: National Center for Science and Engineering Statistics, Survey of Science and Engineering Research Facilities

Costs for repair and renovation of science and engineering research space in academic institutions, by field and time of repair and renovation: 2025–16
(Dollars in thousands)
Field, medical school space, and research animal space Planned to start in FY 2024 or FY 2025 Started in FY 2022 or FY 2023 Started in FY 2020 or FY 2021 Started in FY 2018 or FY 2019 Started in FY 2016 or FY 2017
  All research space 0 i 0 i . . 0 i
    Agricultural sciences 0 i 0 i . . 0 i
    Biological and biomedical sciences 0 i 0 i . . 0 i
    Computer and information sciences 0 i 0 i . . 0 i
    Engineering 0 i 0 i . . 0 i
    Geosciences, atmospheric sciences, and ocean sciences 0 i 0 i . . 0 i
    Health sciences 0 i 0 i . . 0 i
    Mathematics and statistics 0 i 0 i . . 0 i
    Natural resources and conservation 0 i 0 i . . 0 i
    Physical sciences 0 i 0 i . . 0 i
    Psychology 0 i 0 i . . 0 i
    Social sciences 0 i 0 i . . 0 i
    Other 0 i 0 i . . 0 i

i=imputed

NOTE:
  • . = data were not collected at this level or institution was not eligible to participate for this survey year.
  • Data from the Survey of Science and Engineering Research Facilities is collected every two years.

SOURCE: National Center for Science and Engineering Statistics, Survey of Science and Engineering Research Facilities

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