Antypas, Katerina B.: On the near pilot DCL, this is adcl for where we're seeking
Antypas, Katerina B.: data sets to facilitate AI education and researcher skill
Antypas, Katerina B.: development.
Antypas, Katerina B.: We still have quite a few people joining the the webinar right
Antypas, Katerina B.: now, so we are going to wait about a minute or two.
Antypas, Katerina B.: And I think I will start over again.
Antypas, Katerina B.: Good afternoon, everyone.
Antypas, Katerina B.: I'm not sure if I everyone heard my last introduction, but I'm
Antypas, Katerina B.: going to start over again.
Antypas, Katerina B.: Welcome to this webinar.
Antypas, Katerina B.: Today this is on the naira, pilot DCL and particularly we
Antypas, Katerina B.: are seeking data sets to facilitate AI education and
Antypas, Katerina B.: researcher skill development.
Antypas, Katerina B.: My name is Katie Antipas.
Antypas, Katerina B.: I'm the director of the Office of Advanced Cyber Infrastructure
Antypas, Katerina B.: and we are.
Antypas, Katerina B.: The office that is leading the launch.
Antypas, Katerina B.: The near pilot, in collaboration with over 12 other federal
Antypas, Katerina B.: agencies and 25 non governmental partners, we still have quite a
Antypas, Katerina B.: few people joining the webinar.
Antypas, Katerina B.: So I think I'm going to wait.
Antypas, Katerina B.: Just one.
Antypas, Katerina B.: About one minute to make sure that we get everyone into into
Antypas, Katerina B.: the room here.
Antypas, Katerina B.: We are joined today by.
Antypas, Katerina B.: A number of NSF colleagues, the presentation will be from
Antypas, Katerina B.: Chairman Stephen.
Antypas, Katerina B.: We have Varun shandola.
Antypas, Katerina B.: We have Alejandro Suarez, Plato Smith and when when tongue as
Antypas, Katerina B.: well and all of us will be available to answer questions
Antypas, Katerina B.: for you.
Antypas, Katerina B.: And so you can put those questions.
Antypas, Katerina B.: In in the chat.
Antypas, Katerina B.: As we are as sharmista is presenting.
Antypas, Katerina B.: Before we get started, I'll just note that.
Antypas, Katerina B.: Throughout the the pilot, we're coming to about one one year of
Antypas, Katerina B.: of the near pilot and this is really our our the first
Antypas, Katerina B.: opportunity we're putting out to the Community for the Community
Antypas, Katerina B.: to be able to contribute datasets to the near pilot. Thus
Antypas, Katerina B.: far the data sets that.
Antypas, Katerina B.: Have been available through the Nair pilot.
Antypas, Katerina B.: Are provided by our federal agency partners.
Antypas, Katerina B.: And so this is really our first, you know, foray into moving and
Antypas, Katerina B.: and the towards a direction to what we believe is a more
Antypas, Katerina B.: transparent and trustworthy AI ecosystem. And so you'll hear
Antypas, Katerina B.: about that more today. So without further delay, sharmisa
Antypas, Katerina B.: let me hand it over to you.
Antypas, Katerina B.: For the presentation.
Bagchi-Sen, Sharmistha: Thank you, Katie. Welcome again.
Bagchi-Sen, Sharmistha: So let's get started.
Bagchi-Sen, Sharmistha: So this is the webinar for NSF 25-018 DCL on Nair Pilot, which
Bagchi-Sen, Sharmistha: seeks data sets to facilitate AI education and researcher skill
Bagchi-Sen, Sharmistha: development.
Bagchi-Sen, Sharmistha: We'll be talking about.
Bagchi-Sen, Sharmistha: Submission requirements for this and what the submission should
Bagchi-Sen, Sharmistha: be discussing.
Bagchi-Sen, Sharmistha: So on this page you know you see the definition again of this DCL
Bagchi-Sen, Sharmistha: and the submission categories where you'll have to answer some
Bagchi-Sen, Sharmistha: questions on AI use cases, user community metadata and
Bagchi-Sen, Sharmistha: documentation, user support and training and data policy.
Bagchi-Sen, Sharmistha: I'll be coming back to this a detail a little bit later.
Bagchi-Sen, Sharmistha: First, let me just go ahead and give a little bit of the
Bagchi-Sen, Sharmistha: background for Nair.
Bagchi-Sen, Sharmistha: So Nair is a vision for national AI research resource and acronym
Bagchi-Sen, Sharmistha: as you Know is Nair.
Bagchi-Sen, Sharmistha: It's a widely accessible National Research infrastructure
Bagchi-Sen, Sharmistha: that will advance the US A IRND environment, discovery and
Bagchi-Sen, Sharmistha: innovation by empowering a diverse set of users through
Bagchi-Sen, Sharmistha: access to computing.
Bagchi-Sen, Sharmistha: High quality data sets, software test beds, models, training and
Bagchi-Sen, Sharmistha: user support.
Bagchi-Sen, Sharmistha: So the goals are to spur innovation, increase the
Bagchi-Sen, Sharmistha: diversity of talent in AI, improve US capacity for a IRND,
Bagchi-Sen, Sharmistha: and advance trustworthy AI.
Bagchi-Sen, Sharmistha: So as we mentioned, today's focus will be on the DCL that
Bagchi-Sen, Sharmistha: focuses on high quality data sets.
Bagchi-Sen, Sharmistha: So as we know, AI can accelerate discovery and benefit society.
Bagchi-Sen, Sharmistha: Here we have listed you know some of the priority areas for
Bagchi-Sen, Sharmistha: our Nair and the areas are, you know listed, you know as extreme
Bagchi-Sen, Sharmistha: weather, power grid, atmospheric modelling, trustworthy medical
Bagchi-Sen, Sharmistha: systems, etcetera.
Bagchi-Sen, Sharmistha: But as we know, AI resources can be challenging to navigate.
Bagchi-Sen, Sharmistha: So Nair is a concept.
Bagchi-Sen, Sharmistha: You know, to coordinate this navigation process for US
Bagchi-Sen, Sharmistha: researchers and educators.
Bagchi-Sen, Sharmistha: So as Katie mentioned, near pilot, you know started you know
Bagchi-Sen, Sharmistha: earlier in 2024.
Bagchi-Sen, Sharmistha: So here is the history and timeline to date.
Bagchi-Sen, Sharmistha: So on January 2021.
Bagchi-Sen, Sharmistha: The National Artificial Intelligence Initiative Act of
Bagchi-Sen, Sharmistha: 2020 directed NSF and OSTP to convene a task force on the
Bagchi-Sen, Sharmistha: feasibility of national AI research resource.
Bagchi-Sen, Sharmistha: In January 2023, the Nair Task Force delivered an ambitious
Bagchi-Sen, Sharmistha: implementation plan and suggested that we start a pilot.
Bagchi-Sen, Sharmistha: So the implementation plan is the purple.
Bagchi-Sen, Sharmistha: It's a purple book that you can access.
Bagchi-Sen, Sharmistha: On online.
Bagchi-Sen, Sharmistha: So January 2024, about a year back.
Bagchi-Sen, Sharmistha: NSFNOSTP launched the Nair pilot with 12 agencies and 26
Bagchi-Sen, Sharmistha: industrial non profit partners.
Bagchi-Sen, Sharmistha: Broadly representing the US artificial intelligence
Bagchi-Sen, Sharmistha: enterprise in on December 2024, the Nair pilot.
Bagchi-Sen, Sharmistha: Has served up to December 2024.
Bagchi-Sen, Sharmistha: Served hundreds of researchers and educators with compute,
Bagchi-Sen, Sharmistha: data, model and educational resources at all scales.
Bagchi-Sen, Sharmistha: So now I'll go over the pilot background a little bit.
Bagchi-Sen, Sharmistha: So near pilot by numbers shows that we have served about 225
Bagchi-Sen, Sharmistha: greater than 225 research teams, 40 states, 9 near classroom
Bagchi-Sen, Sharmistha: awards, 15 infrastructure and data demonstration projects, and
Bagchi-Sen, Sharmistha: so far two community workshops.
Bagchi-Sen, Sharmistha: The map shows the geographic distribution of all these.
Bagchi-Sen, Sharmistha: Resources that has been.
Bagchi-Sen, Sharmistha: Provided to the users.
Bagchi-Sen, Sharmistha: So now pilot the scope and goals of Nair pilot in encompasses A2
Bagchi-Sen, Sharmistha: year effort by 12 agencies and 26 non government partners who
Bagchi-Sen, Sharmistha: are contributing in kind resources and expertise.
Bagchi-Sen, Sharmistha: So the broad goal is to demonstrate value and impact of
Bagchi-Sen, Sharmistha: the Nair concept. The objectives are to support novel AI research
Bagchi-Sen, Sharmistha: and innovation, expand access to AI resources for a diverse set
Bagchi-Sen, Sharmistha: of researchers across the United States.
Bagchi-Sen, Sharmistha: Demonstrate collaborations across agencies and the private
Bagchi-Sen, Sharmistha: sector that are supporting an AI innovation ecosystem and gain
Bagchi-Sen, Sharmistha: experience advancing and refining the Nair design.
Bagchi-Sen, Sharmistha: So as we mentioned, there are 12 agencies, 12 government agencies
Bagchi-Sen, Sharmistha: that are contributing and collaborating with NSF. They're
Bagchi-Sen, Sharmistha: listed on the left.
Bagchi-Sen, Sharmistha: So to give you some examples, near secure is led by DOE and
Bagchi-Sen, Sharmistha: NIH.
Bagchi-Sen, Sharmistha: So they have 3 demonstration projects underway, our data set
Bagchi-Sen, Sharmistha: and models.
Bagchi-Sen, Sharmistha: There are 25 open data sets, models and platforms that are
Bagchi-Sen, Sharmistha: available on the pilot portal.
Bagchi-Sen, Sharmistha: For computing, there are 10 plus advanced computing systems that
Bagchi-Sen, Sharmistha: are available.
Bagchi-Sen, Sharmistha: Platform softwares, education materials.
Bagchi-Sen, Sharmistha: We've had various workshops.
Bagchi-Sen, Sharmistha: The governance is done through steering committee PPMO, which
Bagchi-Sen, Sharmistha: is a pilot program management office and various working
Bagchi-Sen, Sharmistha: groups, data models, secure and education outreach, working
Bagchi-Sen, Sharmistha: groups.
Bagchi-Sen, Sharmistha: So the 26 non government partners contributing in kind
Bagchi-Sen, Sharmistha: resources and expertise are listed here and some of the
Bagchi-Sen, Sharmistha: examples of the contributions are also listed.
Bagchi-Sen, Sharmistha: So we have from AMD to Amazon, you know Hewlett Packard,
Bagchi-Sen, Sharmistha: NVIDIA, all sorts of non government partners.
Bagchi-Sen, Sharmistha: So for example, you know AWS is supporting 20 projects.
Bagchi-Sen, Sharmistha: Google Cloud, you know, support for computing projects,
Bagchi-Sen, Sharmistha: etcetera.
Bagchi-Sen, Sharmistha: So all these are available through nairapilot the Nairpilot
Bagchi-Sen, Sharmistha: org.
Bagchi-Sen, Sharmistha: Has all the information that you need and resources that are
Bagchi-Sen, Sharmistha: available to researchers and educators.
Bagchi-Sen, Sharmistha: So there are classroom and educator resources, researcher
Bagchi-Sen, Sharmistha: resources and data models, and more resources so you can go to
Bagchi-Sen, Sharmistha: this particular portal and look at the whole portal for all the
Bagchi-Sen, Sharmistha: details. All the current information regarding Nair
Bagchi-Sen, Sharmistha: pilot.
Bagchi-Sen, Sharmistha: So the resources again in, in in summary. So when you look at the
Bagchi-Sen, Sharmistha: NSF resources that are listed and then there are the private,
Bagchi-Sen, Sharmistha: you know, nongovernment resources that are that are out
Bagchi-Sen, Sharmistha: there.
Bagchi-Sen, Sharmistha: So we have, you know, from NSF, we have the Frontera, anvil,
Bagchi-Sen, Sharmistha: delta, et cetera, OK.
Bagchi-Sen, Sharmistha: Katie mentioned that data sets thus far has been from agencies
Bagchi-Sen, Sharmistha: such as NIH, NASA, USPTOUSGSUS, Census of Agriculture, and NOAA.
Bagchi-Sen, Sharmistha: So the near pilot data set, DCL is aiming to provide non
Bagchi-Sen, Sharmistha: governmental data sets to the user community.
Bagchi-Sen, Sharmistha: So what is this DCL all about?
Bagchi-Sen, Sharmistha: You have.
Bagchi-Sen, Sharmistha: You must have seen it online, but I'll go through the parts of
Bagchi-Sen, Sharmistha: the DCL here in detail.
Bagchi-Sen, Sharmistha: So the the DC.
Bagchi-Sen, Sharmistha: The DCL again is the 25-018, so how do you respond to the DCL?
Bagchi-Sen, Sharmistha: So to recommend candidate datasets for inclusion in near
Bagchi-Sen, Sharmistha: pilot.org, you will need to answer the questions linked
Bagchi-Sen, Sharmistha: through the DCL.
Bagchi-Sen, Sharmistha: The link will take you to a touch Points Questionnaire which
Bagchi-Sen, Sharmistha: will have 15 quest.
Bagchi-Sen, Sharmistha: Questions across 6 categories.
Bagchi-Sen, Sharmistha: Including general information.
Bagchi-Sen, Sharmistha: So the other five categories are AI use cases. As I mentioned
Bagchi-Sen, Sharmistha: before, user community, metadata and documentation, user support
Bagchi-Sen, Sharmistha: and training and data policy.
Bagchi-Sen, Sharmistha: So for AI use cases, you'll be asked to answer questions on how
Bagchi-Sen, Sharmistha: will the data provide innovative education and learning
Bagchi-Sen, Sharmistha: opportunities to advance a more trustworthy AI ecosystem for the
Bagchi-Sen, Sharmistha: user community? You'll be asked questions on how will the data
Bagchi-Sen, Sharmistha: help build and diversify the user community for.
Bagchi-Sen, Sharmistha: Metadata and documentation.
Bagchi-Sen, Sharmistha: We will need information regarding data collection
Bagchi-Sen, Sharmistha: metadata.
Bagchi-Sen, Sharmistha: And of course documentation about the data set for user
Bagchi-Sen, Sharmistha: support and training will ask questions.
Bagchi-Sen, Sharmistha: We have questions that include, you know, any user support
Bagchi-Sen, Sharmistha: programs, educational workshops or events associate with this
Bagchi-Sen, Sharmistha: data set and then questions on data policy will include have
Bagchi-Sen, Sharmistha: all appropriate procedures being followed for the collection and
Bagchi-Sen, Sharmistha: dissemination of the data set.
Bagchi-Sen, Sharmistha: One important point to note is that please don't submit
Bagchi-Sen, Sharmistha: anything that is proprietary, classified, confidential, or
Bagchi-Sen, Sharmistha: sensitive, and I'll come back and make a note of this again
Bagchi-Sen, Sharmistha: later in another slide.
Bagchi-Sen, Sharmistha: So now let's go over the questions in detail.
Bagchi-Sen, Sharmistha: So the general information question that we're asking is
Bagchi-Sen, Sharmistha: that what is the name of the data set?
Bagchi-Sen, Sharmistha: Can you briefly describe the data set for people unfamiliar
Bagchi-Sen, Sharmistha: with it?
Bagchi-Sen, Sharmistha: If your data set already has a DOI, please enter it in in the
Bagchi-Sen, Sharmistha: touchpoints questionnaire. So you have a little box bringing
Bagchi-Sen, Sharmistha: it, you know, put in, you know, insert the information.
Bagchi-Sen, Sharmistha: Please enter the name of the organization submitting the data
Bagchi-Sen, Sharmistha: set and the name and the institutional e-mail address of
Bagchi-Sen, Sharmistha: one or more contacts.
Bagchi-Sen, Sharmistha: Please also enter the URL for accessing the data set. If you
Bagchi-Sen, Sharmistha: have an API, you can describe it briefly.
Bagchi-Sen, Sharmistha: So like I mentioned, there'll be small boxes if you have not done
Bagchi-Sen, Sharmistha: it yet. The questionnaires or questions will be followed.
Bagchi-Sen, Sharmistha: Not all of them, but most of them will have a box and that
Bagchi-Sen, Sharmistha: there'll be some, you know, space limit for those boxes, AI
Bagchi-Sen, Sharmistha: use cases. The questions are what use cases does this data
Bagchi-Sen, Sharmistha: set support?
Bagchi-Sen, Sharmistha: What use cases was this data set designed to support and you have
Bagchi-Sen, Sharmistha: to describe some current or possible AI US cases.
Bagchi-Sen, Sharmistha: Next set will include.
Bagchi-Sen, Sharmistha: How this data set can be used to facilitate AI education and
Bagchi-Sen, Sharmistha: researcher skill development?
Bagchi-Sen, Sharmistha: So for example, how can the data set be used to broaden access to
Bagchi-Sen, Sharmistha: AI resources in the classroom, educational or any other
Bagchi-Sen, Sharmistha: training environment for new as well as experienced AI
Bagchi-Sen, Sharmistha: researchers and or educators?
Bagchi-Sen, Sharmistha: And I would like to emphasize new here.
Bagchi-Sen, Sharmistha: So when you're writing this information so you.
Bagchi-Sen, Sharmistha: Are aware that new users will also try to.
Bagchi-Sen, Sharmistha: Access the datasets.
Bagchi-Sen, Sharmistha: OK.
Bagchi-Sen, Sharmistha: The next set of questions will fall under user community.
Bagchi-Sen, Sharmistha: So you have to describe the current community of users of
Bagchi-Sen, Sharmistha: the data sets.
Bagchi-Sen, Sharmistha: So you're already have given us, you know, some information on
Bagchi-Sen, Sharmistha: the user's institution here.
Bagchi-Sen, Sharmistha: We need a little bit more detail about the category of
Bagchi-Sen, Sharmistha: institution.
Bagchi-Sen, Sharmistha: Is it government, academia, industry and the geographic
Bagchi-Sen, Sharmistha: location?
Bagchi-Sen, Sharmistha: The second question, the second information will be very
Bagchi-Sen, Sharmistha: important.
Bagchi-Sen, Sharmistha: The degree of sophistication in applications and our training.
Bagchi-Sen, Sharmistha: What kind of users do you serve?
Bagchi-Sen, Sharmistha: Are they new to AI? You know user with some knowledge of AI,
Bagchi-Sen, Sharmistha: somewhat advanced user of AI.
Bagchi-Sen, Sharmistha: Experienced AI researcher, educator or AI innovator?
Bagchi-Sen, Sharmistha: So that information then will give us a little bit more
Bagchi-Sen, Sharmistha: detail, not just some numbers on community of users.
Bagchi-Sen, Sharmistha: So second one will focus on the numbers.
Bagchi-Sen, Sharmistha: How many current users are there for the data set?
Bagchi-Sen, Sharmistha: So if you don't know, you can give an estimate and we have,
Bagchi-Sen, Sharmistha: you know, different categories one through 910 through.
Bagchi-Sen, Sharmistha: 900 to 499 and so on.
Bagchi-Sen, Sharmistha: And then also you know address how you arrived at at it in the
Bagchi-Sen, Sharmistha: answer to the to the next question.
Bagchi-Sen, Sharmistha: So following those, you know counts of users and the quality
Bagchi-Sen, Sharmistha: of users, there are the type of users need to also address how
Bagchi-Sen, Sharmistha: you envision the growth of the user community under the
Bagchi-Sen, Sharmistha: NAIPILOT program. And if you have training, educational or
Bagchi-Sen, Sharmistha: user support programs associated with or plan.
Bagchi-Sen, Sharmistha: For this data set.
Bagchi-Sen, Sharmistha: And then you please indicate you know what you will make
Bagchi-Sen, Sharmistha: available to Nair users.
Bagchi-Sen, Sharmistha: OK.
Bagchi-Sen, Sharmistha: So the next two will be metadata and documentation for metadata.
Bagchi-Sen, Sharmistha: You have to describe any metadata standards, data model
Bagchi-Sen, Sharmistha: cards, sheets and documentation now and how they can be
Bagchi-Sen, Sharmistha: accessed.
Bagchi-Sen, Sharmistha: You may also want to list publications about the data set
Bagchi-Sen, Sharmistha: or representative publications citing the data set.
Bagchi-Sen, Sharmistha: Then you have to also address, you know.
Bagchi-Sen, Sharmistha: Data quality assessments that may have been conducted using
Bagchi-Sen, Sharmistha: this data set that discuss the utility objectivity and the
Bagchi-Sen, Sharmistha: integrity of the data.
Bagchi-Sen, Sharmistha: Data policy.
Bagchi-Sen, Sharmistha: So we would like to know if your data set includes any human
Bagchi-Sen, Sharmistha: subject controlled, sensitive or proprietary data.
Bagchi-Sen, Sharmistha: So you'll have to answer the question on policies and
Bagchi-Sen, Sharmistha: procedures that you followed in the collection of this data set,
Bagchi-Sen, Sharmistha: you know copyright or IRB approval are two examples.
Bagchi-Sen, Sharmistha: We've given then please also you have to describe any licenses,
Bagchi-Sen, Sharmistha: user agreements or restrictions that may apply to the use of the
Bagchi-Sen, Sharmistha: data set.
Bagchi-Sen, Sharmistha: Are these clearly set out for users to review and acknowledge?
Bagchi-Sen, Sharmistha: If so, you will need to describe where these licenses, agreements
Bagchi-Sen, Sharmistha: and restrictions can be found.
Bagchi-Sen, Sharmistha: You will have some space to add additional information that we
Bagchi-Sen, Sharmistha: may not have covered and you can list all current and past
Bagchi-Sen, Sharmistha: sources of funding for this data set, including the funding
Bagchi-Sen, Sharmistha: entities and, if relevant, grant numbers.
Bagchi-Sen, Sharmistha: You will also have some additional space for some more
Bagchi-Sen, Sharmistha: information that you may want to provide.
Bagchi-Sen, Sharmistha: And one important note, we encourage submissions from F
Bagchi-Sen, Sharmistha: score jurisdictions. That's established program to stimulate
Bagchi-Sen, Sharmistha: competitive research and from msis.
Bagchi-Sen, Sharmistha: That is minority serving institutions.
Bagchi-Sen, Sharmistha: So the next section in the DCL we'll talk about what happens
Bagchi-Sen, Sharmistha: after you submit.
Bagchi-Sen, Sharmistha: Submissions could be reviewed by NSF program staff, other federal
Bagchi-Sen, Sharmistha: employees from near pilot collaborating agencies, or
Bagchi-Sen, Sharmistha: external reviewers.
Bagchi-Sen, Sharmistha: NSF will use the information submitted in response to this
Bagchi-Sen, Sharmistha: DCL at its discretion, and may not provide comments to our
Bagchi-Sen, Sharmistha: responders submission.
Bagchi-Sen, Sharmistha: Respondents are advised that the government is under no
Bagchi-Sen, Sharmistha: obligation.
Bagchi-Sen, Sharmistha: To acknowledge receipt of the information or provide feedback
Bagchi-Sen, Sharmistha: to respondents with respect to any information submitted.
Bagchi-Sen, Sharmistha: The information provided will be analyzed, may appear in reports
Bagchi-Sen, Sharmistha: and may be shared publicly on agency websites.
Bagchi-Sen, Sharmistha: Again, no proprietary classified, confidential or
Bagchi-Sen, Sharmistha: sensitive information should be included in your response.
Bagchi-Sen, Sharmistha: The government reserves the right to use any non proprietary
Bagchi-Sen, Sharmistha: technical information.
Bagchi-Sen, Sharmistha: In any resultant solicitations, policies, or procedures.
Bagchi-Sen, Sharmistha: What happens after submission again?
Bagchi-Sen, Sharmistha: If data sets are deemed acceptable for the near pilot,
Bagchi-Sen, Sharmistha: near pilot.org will provide a link to these datasets to be
Bagchi-Sen, Sharmistha: accessed by users. A standard disclaimer will be noted for
Bagchi-Sen, Sharmistha: users. Neither NSF nor the awardee managing the near
Bagchi-Sen, Sharmistha: pilot.org validates or indorses any of.
Bagchi-Sen, Sharmistha: The individual data sets or models.
Bagchi-Sen, Sharmistha: They are provided to the community as potential resources
Bagchi-Sen, Sharmistha: that could advance near pilot bolts.
Bagchi-Sen, Sharmistha: I am done with my presentation now and you can put your
Bagchi-Sen, Sharmistha: questions on chat. Q&A may not be available to us, so we're
Bagchi-Sen, Sharmistha: going to manage it with chat and my colleagues will help with
Bagchi-Sen, Sharmistha: answering some of the questions.
Bagchi-Sen, Sharmistha: Just for your information, the participating directorates for
Bagchi-Sen, Sharmistha: the near data set are given below and OIA is also part of
Bagchi-Sen, Sharmistha: them.
Bagchi-Sen, Sharmistha: Thank you very much.
Bagchi-Sen, Sharmistha: 'Cause, I think we will have to.
Bagchi-Sen, Sharmistha: Open up for.
Bagchi-Sen, Sharmistha: Going over the chat questions.
Antypas, Katerina B.: Maybe we can start with one question. Thanks Jeremy stead.
Antypas, Katerina B.: Sure. I expect we'll get this question.
Antypas, Katerina B.: Is there any funding associated with this DCL?
Bagchi-Sen, Sharmistha: Unfortunately, we don't have funding associated with this
Bagchi-Sen, Sharmistha: DCL.
Suarez, Alejandro: Do have one question that just came in. Would there be interest
Suarez, Alejandro: in submission of data sets collected and hosted by NSF
Suarez, Alejandro: funded projects?
Antypas, Katerina B.: For me, so you want to take that one?
Bagchi-Sen, Sharmistha: Sure. Yes, we will be interested in those datasets.
Bagchi-Sen, Sharmistha: Now back to you.
Bagchi-Sen, Sharmistha: Do you want to add something?
Suarez, Alejandro: Oh, I would say that that's that.
Suarez, Alejandro: That that's the provenance of the data set. If it has some
Suarez, Alejandro: kind of federal support with it, that's all taken into account as
Suarez, Alejandro: these data set submissions will be reviewed.
Suarez, Alejandro: So we do very much welcome datasets that have been
Suarez, Alejandro: supported by different funding agencies, including NSF,
Suarez, Alejandro: different community organizations, foundations.
Suarez, Alejandro: I think that's that's all within bound.
Tung, Wen-Wen: Here's another question here.
Tung, Wen-Wen: Do you anticipate that submission of data will become a
Tung, Wen-Wen: requirement of relevant NSF awards?
Antypas, Katerina B.: Do you want to take that?
Suarez, Alejandro: Sure. So right now we don't have any anticipation of any specific
Suarez, Alejandro: requirements collect connected to data sets that are submitted
Suarez, Alejandro: here. If there are any updates to that, we will be sure to
Suarez, Alejandro: inform the Community appropriately. As you know,
Suarez, Alejandro: we're in an air pilot phase, we're piloting differe.
Suarez, Alejandro: Ways to make these data sets more accessible to their given
Suarez, Alejandro: user communities.
Suarez, Alejandro: But thank you for that comment.
Tung, Wen-Wen: Next question.
Tung, Wen-Wen: Thank you for this presentation. You're welcome.
Tung, Wen-Wen: Can you speak about any specific types of data sets that are
Tung, Wen-Wen: being sold?
Tung, Wen-Wen: For example, is there a high need for data sets that support
Tung, Wen-Wen: biodiversity studies versus astrophysics?
Antypas, Katerina B.: I can take that one.
Antypas, Katerina B.: I think you know if you you read the the DCL the focus is on is
Antypas, Katerina B.: on an emphasis is on data sets to facilitate AI education and
Antypas, Katerina B.: researcher skill development.
Antypas, Katerina B.: We purposely did not put in particular domain areas and so
Antypas, Katerina B.: the focus regardless of domain science, is really for data sets
Antypas, Katerina B.: that can facilitate that. AI education and and skill
Antypas, Katerina B.: development.
Tung, Wen-Wen: The next question, are there examples of how these data are
Tung, Wen-Wen: being used?
Bagchi-Sen, Sharmistha: I think that not, not yet with the datasets that have are just
Tung, Wen-Wen: OK.
Bagchi-Sen, Sharmistha: coming in by February 7th, right? That's our deadline. But
Bagchi-Sen, Sharmistha: the existing data Kitty, do we have any user information yet?
Antypas, Katerina B.: So you know I'm. I'm so we are seeking data sets of this. Dcl
Antypas, Katerina B.: is seeking data sets that can, you know, facilitate a education
Antypas, Katerina B.: and researcher skill development. And so we don't
Antypas, Katerina B.: have examples of those yet.
Antypas, Katerina B.: There are a number of federal agency datasets that are made
Antypas, Katerina B.: available through through the pilot.
Antypas, Katerina B.: At this time, I don't have.
Antypas, Katerina B.: Examples of how particular users are are using those yet.
Tung, Wen-Wen: So the next question, will NSF provide the data sets for the
Tung, Wen-Wen: application?
Antypas, Katerina B.: Right. So the idea is that after datasets are made available, the
Antypas, Katerina B.: research community.
Antypas, Katerina B.: Will have a a place where these datasets they can can access
Antypas, Katerina B.: these datasets, connect them to the relevant, perhaps computing
Antypas, Katerina B.: infrastructure through through the NIRPILOT. If there's
Antypas, Katerina B.: analysis that needs to be to be done.
Tung, Wen-Wen: The next question is a question regarding the submission process
Tung, Wen-Wen: itself.
Tung, Wen-Wen: If approved, is the idea to keep the actual data itself where it
Tung, Wen-Wen: resides and provide access paths to these data on the near portal
Tung, Wen-Wen: by catalogs et cetera.
Antypas, Katerina B.: Go ahead, show me.
Bagchi-Sen, Sharmistha: Yes, that's the. That's the idea that the portal will provide the
Bagchi-Sen, Sharmistha: links and you know and the user can go in there and find out the
Bagchi-Sen, Sharmistha: information about the about the data.
Antypas, Katerina B.: Right. So we're not looking to create a big data storage cache
Antypas, Katerina B.: and exactly is what Shermis said. This would provide links
Antypas, Katerina B.: you know as we move further in the process, there may be an
Antypas, Katerina B.: opportunity to to cash some of these data sets closer to where
Antypas, Katerina B.: some of the.
Antypas, Katerina B.: Necessary computing resources are happening, but we would look
Antypas, Katerina B.: at that stage farther down, down the line.
Tung, Wen-Wen: And the next question, are they any preferred size or scale for
Tung, Wen-Wen: these data sets?
Antypas, Katerina B.: Again, that that's not specified in the DCL, and I think we
Antypas, Katerina B.: purposely did not, did not go to that level of detail.
Antypas, Katerina B.: I think again the the the focus and emphasis for this DCL is
Antypas, Katerina B.: really on data sets that could facilitate AI education and
Antypas, Katerina B.: researcher skill development.
Antypas, Katerina B.: And I'll note that that could occur with a data set that is
Antypas, Katerina B.: quite small.
Antypas, Katerina B.: It's also probably clear that researchers need to learn.
Antypas, Katerina B.: About how to use larger data sets.
Antypas, Katerina B.: So I think we could anticipate a wide span there.
Tung, Wen-Wen: Next question, quite interesting by research community.
Tung, Wen-Wen: Do we mean it's national or global?
Antypas, Katerina B.: OK, let me let me take that one.
Antypas, Katerina B.: So the the near pilot.
Antypas, Katerina B.: Resources.
Antypas, Katerina B.: Are in order to gain access to.
Antypas, Katerina B.: Resources that have limited access.
Antypas, Katerina B.: It's required that researchers.
Antypas, Katerina B.: Are are us based? That says nothing about nationality or
Antypas, Katerina B.: visa status, just that they're associated with AUS based
Antypas, Katerina B.: institution.
Antypas, Katerina B.: And that that includes a broad range of institutions including.
Antypas, Katerina B.: Us universities and colleges.
Antypas, Katerina B.: Non profits and small businesses with a federal grant in terms of
Antypas, Katerina B.: the types of datasets.
Antypas, Katerina B.: The DCL does not specify that it has to be a data set focused on,
Antypas, Katerina B.: you know.
Antypas, Katerina B.: Data sets collected in any particular location.
Tung, Wen-Wen: One last question, will NSF be providing the guidance on
Tung, Wen-Wen: standards for the catalog access pads for data?
Antypas, Katerina B.: Show me. So you wanna take that one or I can take it.
Bagchi-Sen, Sharmistha: Yeah, I'll let you take that one.
Antypas, Katerina B.: Right. So I think that the first step is is.
Antypas, Katerina B.: To you know, submit the required data in the dcli think we're
Antypas, Katerina B.: all. We're very aware that data sets for the scientific
Antypas, Katerina B.: community are very diverse and we were not necessarily assuming
Antypas, Katerina B.: that they would all conform to the same, you know, a same type
Antypas, Katerina B.: of model. What we're really.
Antypas, Katerina B.: Looking for is, you know, transparency in the data set.
Antypas, Katerina B.: Understanding how that data set was collected.
Antypas, Katerina B.: Documentation. Are there trainings associated with it?
Antypas, Katerina B.: And then when we have those, umm, those datasets that gone
Antypas, Katerina B.: through a a review process, you will be linking them to to the
Antypas, Katerina B.: near pilot website.
Tung, Wen-Wen: Thank you.
Tung, Wen-Wen: There's one more question.
Tung, Wen-Wen: What motivations and advantages can we share with our
Tung, Wen-Wen: researchers for why they should submit their data sets to these
Tung, Wen-Wen: DCL?
Antypas, Katerina B.: Sure. Yeah, I'm. I'm happy to take that one, I think.
Antypas, Katerina B.: We know that data sets are such a critical component to and and
Antypas, Katerina B.: making, say the key component to to AI and Discovery with, with
Antypas, Katerina B.: AI. And so there's an opportunity if you or your
Antypas, Katerina B.: community has a data set for wider access.
Antypas, Katerina B.: Perhaps more people could begin to contribute to that data set.
Antypas, Katerina B.: So would be an opportunity to to grow a community, perhaps, and
Antypas, Katerina B.: get. And really I think give back to to the community if you
Antypas, Katerina B.: believe that this is a data set that can really advance AI.
Antypas, Katerina B.: Education and and facilitate that researcher skill
Antypas, Katerina B.: development.
Antypas, Katerina B.: So those are the few of the the motivations I that we were
Antypas, Katerina B.: thinking about.
Suarez, Alejandro: If I may add, I think one of the one of the other motivations is
Antypas, Katerina B.: Yeah, please.
Suarez, Alejandro: the fact that we are in a pilot phase.
Suarez, Alejandro: So right now, although although there's nothing that we can
Suarez, Alejandro: commit to at this time, there are possible opportunities for
Suarez, Alejandro: how these data sets could, for example, more closely connect to
Suarez, Alejandro: some of the computational resources that we also have
Suarez, Alejandro: available or opportunities that could come out from how the.
Suarez, Alejandro: Models that are made available can connect to some of the data
Suarez, Alejandro: sets that.
Suarez, Alejandro: You are making available, so having this on the same
Suarez, Alejandro: platform.
Suarez, Alejandro: Having the visibility on the same platform may provide
Suarez, Alejandro: further collaboration opportunities or interconnective
Suarez, Alejandro: opportunities for.
Suarez, Alejandro: The YOUR researchers that are developing that data set and
Suarez, Alejandro: making it more widely available.
Bagchi-Sen, Sharmistha: I'll add one quick one.
Bagchi-Sen, Sharmistha: I think Eddie covered it, but I'll add another one.
Bagchi-Sen, Sharmistha: Like, if you're you're sharing of your data collection, you
Bagchi-Sen, Sharmistha: know process and how you followed guidelines and policy,
Bagchi-Sen, Sharmistha: you know all those will be very important for again education
Bagchi-Sen, Sharmistha: and training purposes for the new new users or even
Bagchi-Sen, Sharmistha: established users to see.
Bagchi-Sen, Sharmistha: And compare across the board the different ways that AI ready
Bagchi-Sen, Sharmistha: data are collected.
Tung, Wen-Wen: There is a new question.
Suarez, Alejandro: I see.
Suarez, Alejandro: Go. Go ahead. Go ahead.
Tung, Wen-Wen: Yes, the question is, is a stem, what if a STEM education grant
Tung, Wen-Wen: is submitted to NSF? Can quote UN quote submit data generated
Tung, Wen-Wen: to Nair be included as deliverable?
Suarez, Alejandro: Be maybe I can take that one I. So, so, right now this. So this
Antypas, Katerina B.: Yeah. Why don't you take that one?
Suarez, Alejandro: is a DCL specific to a pilot activity through the the near
Suarez, Alejandro: the near pilot work anything that regards to how you would be
Suarez, Alejandro: doing.
Suarez, Alejandro: Submission of data sets with regards to another NSF award or
Suarez, Alejandro: other either requirements or parts of a proposal that would
Suarez, Alejandro: be submitted to another NSF program.
Suarez, Alejandro: I think it would be best to discuss that with the program
Suarez, Alejandro: officer of record.
Suarez, Alejandro: Or that NSF grant program to see if whatever submission or
Suarez, Alejandro: whatever you are proposing would be appropriate for the program
Suarez, Alejandro: in question.
Tung, Wen-Wen: Next question is about the date line. Whether it's a hard or
Tung, Wen-Wen: soft date line.
Tung, Wen-Wen: So deadline to Submi is very seven can people submit data
Tung, Wen-Wen: after February 7?
Tung, Wen-Wen: I will say no.
Antypas, Katerina B.: No, the deadline is February 7th.
Suarez, Alejandro: Activities so we have nothing to announce at this time about what
Suarez, Alejandro: may happen after February 7th.
Tung, Wen-Wen: And the follow up question is what is anticipated future of
Tung, Wen-Wen: these data resource after February 7?
Antypas, Katerina B.: Let me say you want to just go over the review process again.
Bagchi-Sen, Sharmistha: Yes, I you know I can share maybe share it again.
Bagchi-Sen, Sharmistha: Let me see.
Bagchi-Sen, Sharmistha: OK.
Bagchi-Sen, Sharmistha: I'll just just talk about it.
Bagchi-Sen, Sharmistha: The once you submit the data set then NSF will.
Bagchi-Sen, Sharmistha: NSF means we will get together and basically.
Bagchi-Sen, Sharmistha: Review the data set so we'll have experts depending on your
Bagchi-Sen, Sharmistha: domain will have expert reviewers either from NSF or
Bagchi-Sen, Sharmistha: from other agencies, or could be ad hoc. So the data set will be
Bagchi-Sen, Sharmistha: reviewed based on all the questions that you have. We have
Bagchi-Sen, Sharmistha: a template.
Bagchi-Sen, Sharmistha: And so.
Bagchi-Sen, Sharmistha: We'll follow the standards. General standards for NSF, our
Bagchi-Sen, Sharmistha: review process, and then we'll decide whether to link it
Bagchi-Sen, Sharmistha: through.
Bagchi-Sen, Sharmistha: Pilot their pilot org.
Bagchi-Sen, Sharmistha: And then of course, it'll be, you know, how many people are
Bagchi-Sen, Sharmistha: accessing the data set and what not.
Bagchi-Sen, Sharmistha: We won't have that information for awhile, so after review
Bagchi-Sen, Sharmistha: process is completed, we will select a few.
Bagchi-Sen, Sharmistha: Are the ones that are.
Bagchi-Sen, Sharmistha: Getting good ratings from the reviewers and we will.
Bagchi-Sen, Sharmistha: Post it.
Bagchi-Sen, Sharmistha: Post the link on their pilot.org. I hope I answered the
Bagchi-Sen, Sharmistha: question. Anyone else want to add.
Antypas, Katerina B.: Thanks for.
Suarez, Alejandro: And it should be available.
Suarez, Alejandro: I just put the slides up one more time. If in case anyone
Bagchi-Sen, Sharmistha: Thanks.
Suarez, Alejandro: needed them.
Antypas, Katerina B.: Are there questions?
Antypas, Katerina B.: We still have quite a bit of time here. If there are others.
Suarez, Alejandro: While we're waiting for more questions, I know we discussed
Suarez, Alejandro: it in the sharmista brought it up at the beginning of the
Suarez, Alejandro: presentation, but we do encourage everyone in in the
Suarez, Alejandro: research community to keep an eye on their pilot.org for new
Suarez, Alejandro: announcements and events, new resources that.
Suarez, Alejandro: Are being made available.
Suarez, Alejandro: If in case you wish to learn more about how the pilot is
Suarez, Alejandro: progressing or new opportunities that are becoming available.
Antypas, Katerina B.: Great. Well, I don't any other questions. So thank you all very
Antypas, Katerina B.: much for joining us today and we look forward to your your
Antypas, Katerina B.: submissions.
Antypas, Katerina B.: Happy New year.
Bagchi-Sen, Sharmistha: Thank you.
Suarez, Alejandro: Thank you all.
Smith, Plato: Thank you.