Request for Information: Undergraduate Training in Biology Mathematics and Computer Science (UBMC), 59199-59200 [2021-23327]

Download as PDF Federal Register / Vol. 86, No. 204 / Tuesday, October 26, 2021 / Notices Written comments should be sent to: Drug Enforcement Administration, Attention: DEA Federal Register Representative/DPW, 8701 Morrissette Drive, Springfield, Virginia 22152. All requests for a hearing must be sent to: Drug Enforcement Administration, Attn: Administrator, 8701 Morrissette Drive, Springfield, Virginia 22152. All requests for a hearing should also be sent to: (1) Drug Enforcement Administration, Attn: Hearing Clerk/OALJ, 8701 Morrissette Drive, Springfield, Virginia 22152; and (2) Drug Enforcement Administration, Attn: DEA Federal Register Representative/DPW, 8701 Morrissette Drive, Springfield, Virginia 22152. SUPPLEMENTARY INFORMATION: In accordance with 21 CFR 1301.34(a), this is notice that on July 30, 2021, Indigenous Peyote Conservation Initiative, 826 North FM 649, Hebbronville, Texas 78361, applied to be registered as an importer of the following basic class(es) of controlled substance(s): ADDRESSES: Controlled substance Peyote ............................. Drug code Schedule 7415 I Novitium Pharma LLC has applied to be registered as a bulk manufacturer of basic class(es) of controlled substance(s). Refer to Supplementary Information listed below for further drug information. DATES: Registered bulk manufacturers of the affected basic class(es), and applicants therefore, may file written comments on or objections to the issuance of the proposed registration on or before December 27, 2021. Such persons may also file a written request for a hearing on the application on or before December 27, 2021. ADDRESSES: Written comments should be sent to: Drug Enforcement Administration, Attention: DEA Federal Register Representative/DPW, 8701 Morrissette Drive, Springfield, Virginia 22152. SUMMARY: In accordance with 21 CFR 1301.33(a), this is notice that on September 8, 2021, Novitium Pharma LLC, 70 Lake Drive, East Windsor, New Jersey 08520, applied to be registered as a bulk manufacturer of the following basic class(es) of controlled substance(s): SUPPLEMENTARY INFORMATION: Controlled substance Drug code Schedule 7437 7438 9220 I I II The above controlled substance will be imported as live plants for research, analytical purposes, enhancing the plant population, and improving conservation strategies of the plant in situ in its native habit. No other activity for this drug code is authorized for this registration. Approval of permit applications will occur only when the registrant’s business activity is consistent with what is authorized under 21 U.S.C. 952(a)(2). Authorization will not extend to the import of Food and Drug Administration-approved or nonapproved finished dosage forms for commercial sale. The company plans to bulk manufacture drug codes 7438 and 7437 to produce Active Pharmaceutical Ingredient (API) and finished dosage forms for use in clinical trial studies only. In reference to drug code 9220, the company plans to bulk manufacture this drug code to support commercial drug product manufacturing and drug development purposes. No other activities for these drug codes are authorized for this registration. Brian S. Besser, Acting Assistant Administrator. Brian S. Besser, Acting Assistant Administrator. [FR Doc. 2021–23281 Filed 10–25–21; 8:45 am] Psilocybin ........................ Psilocyn ........................... Levorphanol ..................... [FR Doc. 2021–23282 Filed 10–25–21; 8:45 am] BILLING CODE P BILLING CODE 4410–09–P DEPARTMENT OF JUSTICE NATIONAL SCIENCE FOUNDATION Drug Enforcement Administration Request for Information: Undergraduate Training in Biology Mathematics and Computer Science (UBMC) [Docket No. DEA–916] Bulk Manufacturer of Controlled Substances Application: Novitium Pharma LLC Drug Enforcement Administration, Justice. ACTION: Notice of application. AGENCY: VerDate Sep<11>2014 22:39 Oct 25, 2021 Jkt 256001 National Science Foundation. Request for information. AGENCY: ACTION: The National Science Foundation’s (NSF) Division of Undergraduate Education (DUE), the SUMMARY: PO 00000 Frm 00088 Fmt 4703 Sfmt 4703 59199 Division of Biological Infrastructure (DBI), the Division of Mathematical Sciences (DMS) and the Division of Computer and Information Science and Engineering (CISE) request input from interested parties the value and need for an interdisciplinary program that trains undergraduate students at the intersections of biological science, mathematics and computer sciences. This RFI will help inform NSF as it considers programs for educating the workforce of tomorrow. DATES: Interested persons are invited to submit comments on or before December 31, 2021. ADDRESSES: Submit comments to Mary L. Crowe, mcrowe@nsf.gov. Submissions should include the ‘‘RFI Response: Undergraduate Training Program in Biological, Mathematical and Computer Science UBMC’’ in the subject line of the message. Phone calls can be made to Mary L. Crowe at the following number: 703–292–7177. FOR FURTHER INFORMATION CONTACT: Suzanne H. Plimpton, Reports Clearance Officer, National Science Foundation, 2415 Eisenhower Avenue, Suite W18200, Alexandria, Virginia 22314; telephone (703) 292–7556; or send email to splimpto@nsf.gov. Individuals who use a telecommunications device for the deaf (TDD) may call the Federal Information Relay Service (FIRS) at 1– 800–877–8339, which is accessible 24 hours a day, 7 days a week, 365 days a year (including Federal holidays). SUPPLEMENTARY INFORMATION: Instructions: Response to this RFI is voluntary. Each individual or institution is requested to submit only one response. Responses should include the name of the person(s) or organization(s) filing the comment. Please include the number of the question or questions to which you are responding. Please limit your response to no more than six pages. In accordance with FAR 15.202(3), responses to this notice are not offers and cannot be accepted by the Government to form a binding contract. Responders are solely responsible for all expenses associated with responding to this RFI. Background Information: The National Science Foundation (NSF) plays a critical role in establishing U.S. leadership in science and engineering (S&E), creating innovations that drive the nation’s economy and educating the next generation of scientists and engineers. The NSF 10 Big Ideas support this role through ideas such as the Future of Work at the Human Technology Frontier, Harnessing the Data Revolution, and others, that foster E:\FR\FM\26OCN1.SGM 26OCN1 59200 Federal Register / Vol. 86, No. 204 / Tuesday, October 26, 2021 / Notices interdisciplinary science and engineering research and the requisite interdisciplinary education and workforce development. A program that exemplified the integration of interdisciplinary training for undergraduates was the Interdisciplinary Training for Undergraduates in Biological and Mathematical Sciences (UBM), a program aimed to enhance undergraduate education and training at the intersection of the biological and mathematical sciences to better prepare undergraduate students to pursue careers in fields that integrated the mathematical and biological sciences https://www.nsf.gov/pubs/2008/ nsf08510/nsf08510.htm. Since the end of the UBM program, there has been an increasing amount of digital data that necessitates education and training in not just mathematics but also in computer science. We note here, for instance, the Data Science Corps program, https://www.nsf.gov/pubs/ 2021/nsf21523/nsf21523.htm, one of the components of the HDR ecosystem enabling education and workforce development by building capacity for harnessing the data revolution in the service of science and society. NSF is interested in developing a new program that starts with the core of the UBM program and expands into computer science as well as well as emerging areas in biology and mathematics. This is in recognition of the explosion of knowledge in instrumentation, computational abilities, information systems, mathematical tools, and biological systems from the nano to the macro regimes. NSF is interested in input from a variety of stakeholders on the interdisciplinary areas proposed for this program. We envision stakeholders to be faculty from both 2-yr and 4-yr institutions as well as industry, NGOs, and others. Response(s) to the question(s) below should focus on effective models with specific efforts in at least one of the following: • Multiple entry and exit points along a career pathway. • Use of technologies including virtual to enhance training • Cohort development in crossdisciplinary research and/or course experiences. • Workforce needs in converging areas considering the breadth from the skilled technical workforce to Ph.D. level scientists VerDate Sep<11>2014 22:39 Oct 25, 2021 Jkt 256001 Questions To Address Respondents can answer any of the questions #1–#8; responses to all questions are not required. 1. What are the biggest needs and challenges faced by institutions working to develop interdisciplinary courses/ programs in the converging areas of biology, mathematics, and computer science? 2. What are the biggest needs and challenges faced by industries in these rapidly evolving and converging areas of STEM? 3. What topics might be included in an NSF program solicitation aimed at supporting these rapidly evolving converging areas? 4. Should a new program include the opportunity for research experiences for undergraduates in these converging areas? If so, what areas might be specifically targeted? Where (early, later, throughout) should these experiences be incorporated in a student’s educational pathway and why? Is there a place for industry-based internships as well as institutional research experiences? 5. What are effective ways to promote interdisciplinary work within a broad range of institutions and disciplinary faculty? What might be challenges that a solicitation might address? 6. Whether you are currently part of a consortium-based model or would be interested in participating in one, describe the benefits and drawbacks of such a partnership. What type of consortium structure maximized the creation of effective and lasting relationships within distinct disciplinary areas of institutions and between institutions in regard to promoting interdisciplinary STEM education? What would the role of the management entity look like, and what partners would be involved? 7. What efforts might support STEM participation by a diverse set of students, especially those from groups underrepresented in STEM, through the creation of accessible, inclusive STEM learning opportunities and promoting STEM careers in these converging areas? 8. What are effective ways in assessing program impact relative to topics mentioned above? Requirement: All qualified, experienced, and capable sources are welcome to respond to this RFI. Largescale and small-scale examples of programs are of equal interest. Your capabilities should cover any and all areas of focus delineated above. There is no target years of relevant experience provided a program has evidence-based effectiveness and proven results. PO 00000 Frm 00089 Fmt 4703 Sfmt 4703 In addition, please provide the following Point of Contact information for all responses: Company: Address: Point of Contact: Phone Number: Email Address: Business Size: Dated: October 21, 2021. Suzanne H. Plimpton, Reports Clearance Officer, National Science Foundation. [FR Doc. 2021–23327 Filed 10–25–21; 8:45 am] BILLING CODE 7555–01–P NUCLEAR REGULATORY COMMISSION [Docket No. 50–244; NRC–2020–0110] Issuance of Exemption in Response to COVID–19 Public Health Emergency Nuclear Regulatory Commission. ACTION: Exemption; issuance. AGENCY: The U.S. Nuclear Regulatory Commission (NRC) issued one exemption in September 2021 in response to a request from one licensee for relief due to the coronavirus 2019 disease (COVID–19) public health emergency (PHE). The exemption affords the licensee temporary relief from certain requirements under NRC regulations. SUMMARY: On September 28, 2021, the NRC granted one exemption in response to a request submitted by one licensee on September 21, 2021. ADDRESSES: Please refer to Docket ID NRC–2020–0110 when contacting the NRC about the availability of information regarding this document. You may obtain publicly available information related to this document using any of the following methods: • Federal Rulemaking Website: Go to https://www.regulations.gov and search for Docket ID NRC–2020–0110. Address questions about Docket IDs in Regulations.gov to Stacy Schumann; telephone: 301–415–0624; email: Stacy.Schumann@nrc.gov. For technical questions, contact the individual listed in the FOR FURTHER INFORMATION CONTACT section of this document. • NRC’s Agencywide Documents Access and Management System (ADAMS): You may obtain publicly available documents online in the ADAMS Public Documents collection at https://www.nrc.gov/reading-rm/ adams.html. To begin the search, select ‘‘Begin Web-based ADAMS Search.’’ For DATES: E:\FR\FM\26OCN1.SGM 26OCN1

Agencies

[Federal Register Volume 86, Number 204 (Tuesday, October 26, 2021)]
[Notices]
[Pages 59199-59200]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2021-23327]


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NATIONAL SCIENCE FOUNDATION


Request for Information: Undergraduate Training in Biology 
Mathematics and Computer Science (UBMC)

AGENCY: National Science Foundation.

ACTION: Request for information.

-----------------------------------------------------------------------

SUMMARY: The National Science Foundation's (NSF) Division of 
Undergraduate Education (DUE), the Division of Biological 
Infrastructure (DBI), the Division of Mathematical Sciences (DMS) and 
the Division of Computer and Information Science and Engineering (CISE) 
request input from interested parties the value and need for an 
interdisciplinary program that trains undergraduate students at the 
intersections of biological science, mathematics and computer sciences. 
This RFI will help inform NSF as it considers programs for educating 
the workforce of tomorrow.

DATES: Interested persons are invited to submit comments on or before 
December 31, 2021.

ADDRESSES: Submit comments to Mary L. Crowe, [email protected]. 
Submissions should include the ``RFI Response: Undergraduate Training 
Program in Biological, Mathematical and Computer Science UBMC'' in the 
subject line of the message. Phone calls can be made to Mary L. Crowe 
at the following number: 703-292-7177.

FOR FURTHER INFORMATION CONTACT: Suzanne H. Plimpton, Reports Clearance 
Officer, National Science Foundation, 2415 Eisenhower Avenue, Suite 
W18200, Alexandria, Virginia 22314; telephone (703) 292-7556; or send 
email to [email protected]. Individuals who use a telecommunications 
device for the deaf (TDD) may call the Federal Information Relay 
Service (FIRS) at 1-800-877-8339, which is accessible 24 hours a day, 7 
days a week, 365 days a year (including Federal holidays).

SUPPLEMENTARY INFORMATION: 
    Instructions: Response to this RFI is voluntary. Each individual or 
institution is requested to submit only one response. Responses should 
include the name of the person(s) or organization(s) filing the 
comment. Please include the number of the question or questions to 
which you are responding. Please limit your response to no more than 
six pages.
    In accordance with FAR 15.202(3), responses to this notice are not 
offers and cannot be accepted by the Government to form a binding 
contract. Responders are solely responsible for all expenses associated 
with responding to this RFI.
    Background Information: The National Science Foundation (NSF) plays 
a critical role in establishing U.S. leadership in science and 
engineering (S&E), creating innovations that drive the nation's economy 
and educating the next generation of scientists and engineers. The NSF 
10 Big Ideas support this role through ideas such as the Future of Work 
at the Human Technology Frontier, Harnessing the Data Revolution, and 
others, that foster

[[Page 59200]]

interdisciplinary science and engineering research and the requisite 
interdisciplinary education and workforce development.
    A program that exemplified the integration of interdisciplinary 
training for undergraduates was the Interdisciplinary Training for 
Undergraduates in Biological and Mathematical Sciences (UBM), a program 
aimed to enhance undergraduate education and training at the 
intersection of the biological and mathematical sciences to better 
prepare undergraduate students to pursue careers in fields that 
integrated the mathematical and biological sciences https://www.nsf.gov/pubs/2008/nsf08510/nsf08510.htm. Since the end of the UBM 
program, there has been an increasing amount of digital data that 
necessitates education and training in not just mathematics but also in 
computer science. We note here, for instance, the Data Science Corps 
program, https://www.nsf.gov/pubs/2021/nsf21523/nsf21523.htm, one of 
the components of the HDR ecosystem enabling education and workforce 
development by building capacity for harnessing the data revolution in 
the service of science and society.
    NSF is interested in developing a new program that starts with the 
core of the UBM program and expands into computer science as well as 
well as emerging areas in biology and mathematics. This is in 
recognition of the explosion of knowledge in instrumentation, 
computational abilities, information systems, mathematical tools, and 
biological systems from the nano to the macro regimes. NSF is 
interested in input from a variety of stakeholders on the 
interdisciplinary areas proposed for this program. We envision 
stakeholders to be faculty from both 2-yr and 4-yr institutions as well 
as industry, NGOs, and others.
    Response(s) to the question(s) below should focus on effective 
models with specific efforts in at least one of the following:
     Multiple entry and exit points along a career pathway.
     Use of technologies including virtual to enhance training
     Cohort development in cross-disciplinary research and/or 
course experiences.
     Workforce needs in converging areas considering the 
breadth from the skilled technical workforce to Ph.D. level scientists

Questions To Address

    Respondents can answer any of the questions #1-#8; responses to all 
questions are not required.
    1. What are the biggest needs and challenges faced by institutions 
working to develop interdisciplinary courses/programs in the converging 
areas of biology, mathematics, and computer science?
    2. What are the biggest needs and challenges faced by industries in 
these rapidly evolving and converging areas of STEM?
    3. What topics might be included in an NSF program solicitation 
aimed at supporting these rapidly evolving converging areas?
    4. Should a new program include the opportunity for research 
experiences for undergraduates in these converging areas? If so, what 
areas might be specifically targeted? Where (early, later, throughout) 
should these experiences be incorporated in a student's educational 
pathway and why? Is there a place for industry-based internships as 
well as institutional research experiences?
    5. What are effective ways to promote interdisciplinary work within 
a broad range of institutions and disciplinary faculty? What might be 
challenges that a solicitation might address?
    6. Whether you are currently part of a consortium-based model or 
would be interested in participating in one, describe the benefits and 
drawbacks of such a partnership. What type of consortium structure 
maximized the creation of effective and lasting relationships within 
distinct disciplinary areas of institutions and between institutions in 
regard to promoting interdisciplinary STEM education? What would the 
role of the management entity look like, and what partners would be 
involved?
    7. What efforts might support STEM participation by a diverse set 
of students, especially those from groups underrepresented in STEM, 
through the creation of accessible, inclusive STEM learning 
opportunities and promoting STEM careers in these converging areas?
    8. What are effective ways in assessing program impact relative to 
topics mentioned above?
    Requirement: All qualified, experienced, and capable sources are 
welcome to respond to this RFI. Large-scale and small-scale examples of 
programs are of equal interest. Your capabilities should cover any and 
all areas of focus delineated above. There is no target years of 
relevant experience provided a program has evidence-based effectiveness 
and proven results.
    In addition, please provide the following Point of Contact 
information for all responses:

Company:
Address:
Point of Contact:
Phone Number:
Email Address:
Business Size:

    Dated: October 21, 2021.
Suzanne H. Plimpton,
Reports Clearance Officer, National Science Foundation.
[FR Doc. 2021-23327 Filed 10-25-21; 8:45 am]
BILLING CODE 7555-01-P


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