X-CGP-ClamAV-Result: CLEAN X-VirusScanner: Niversoft's CGPClamav Helper v1.25a (ClamAV 1.2.0/27079) DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=simple/simple; d=cni.org; s=mail; bh=zcpWQQJB4x98a6d08broqiN5+/0BQk9ssWGKJuSjFHU=; h=Subject:Mime-Version:Content-Type:From:Message-ID:Date:To:Sender; b=H+xRapZ w5gKJbC+yOYIJsi5HP5vxO1D3Cbqpsr7RqwsJRxycEqxsD1IT0mnbjScMeuVAVZ3ubJ/BfITNra2F 9iqNZZFgkekjcAHiBUy1VAi2RieGAlYvUde1aknERghWGxmN03Lrk4GWmYuqwKd6jYlQs/sTNKLBy pDKxfJJU6o= Return-Path: Sender: To: CNI-ANNOUNCE Date: Wed, 01 Nov 2023 13:59:20 -0400 Message-ID: X-Original-Return-Path: Received: from [73.152.165.228] (account paige@cni.org HELO smtpclient.apple) by cni.org (CommuniGate Pro SMTP 7.1.4) with ESMTPSA id 41354891 for CNI-ANNOUNCE@cni.org; Wed, 01 Nov 2023 13:57:25 -0400 From: Clifford Lynch Content-Type: multipart/alternative; boundary="Apple-Mail=_FF68FCFC-2E27-4761-9561-A24FCCB806F5" Mime-Version: 1.0 (Mac OS X Mail 16.0 \(3731.700.6\)) Subject: CNI Fall 2023 Plenaries and Sessions X-Original-Message-Id: <98D9AFC5-66F3-4153-AA95-8B8273B8256B@cni.org> X-Original-Date: Wed, 1 Nov 2023 13:57:05 -0400 X-Original-To: CNI-ANNOUNCE@cni.org X-Mailer: Apple Mail (2.3731.700.6) --Apple-Mail=_FF68FCFC-2E27-4761-9561-A24FCCB806F5 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=utf-8 I am delighted to share the details of the CNI Fall 2023 Membership = Meeting plenary talks = and to announce that the preliminary project = briefing list = is now live. In the coming = weeks, we will release the final schedule along with full session = details. Closer to the meeting, we=E2=80=99ll also share the traditional = meeting =E2=80=9Croadmap=E2=80=9D guide.=20 I will deliver my customary December opening plenary with a survey of = recent key developments and trends in the networked information and = research landscapes alongside an update on CNI's programs, strategies, = and plans for program year 2023-2024 and beyond. It=E2=80=99s been an = extraordinarily eventful year, and there=E2=80=99s lots to talk about. = As always, there will be time for questions and discussion. Closing Plenary: Open Access, Open Scholarship, and Machine Learning: A = Panel and Community Conversation =E2=80=A8Recent issues surrounding the use of the scholarly literature = as training data for machine learning-based systems, particularly large = language models (LLMs) and various generative artificial intelligence = (AI) applications driven by these systems, are raising new questions = about what the community seeks to enable and accomplish through = commitments to open access and open scholarship. These questions are = shaped in part by assumptions about the extent to which these new = machine learning-driven systems will be centralized and controlled by a = few large technology firms, as opposed to being diffused and distributed = much more widely through open source developments. The emergence and adoption of ideas surrounding open access and open = scholarship have largely been driven by visions of desirable futures and = values-based choices for institutional investments; in recent years, = this has enjoyed a relatively broad consensus despite some ongoing = disagreements about specific tactics to advance these goals. Suddenly, = as we see examples of where generative AI may take us and the highly = extractive nature of these generative AI systems, the consensus on ideal = futures seems less clear. What will most effectively advance scholarship = and the creation of new knowledge? Historically, there has been clear consensus extending from the freedom = to read scholarly literature to the freedom to compute on this corpus = through text mining and natural language processing technologies. This = had been recognized in funder open access policies and mechanisms like = Creative Commons licenses. Newer machine learning-based technologies = create persistent and reusable computational artifacts, and there seems = to be less comfort with a powerful, broad-based set of mandates to = enable these developments. Yet the implications of blocking or impeding = these developments also remain unclear. And whatever is chosen must = scale. The panel, which I will moderate, will consider the current state of = developments, particularly in light of the seemingly insatiable demand = for training data by LLM-driven systems, and will focus on both what the = desirable outcomes should be in light of the values and goals shaped by = open access and open scholarship and the mechanisms that might be = adopted to advance these outcomes. Panelists include Rachael Samberg, Scholarly Communication Officer & = Program Director at the University of California, Berkeley and Heather = Sardis, Associate Director for Technology and Strategic Planning at the = Massachusetts Institute of Technology. We will announce the complete = list of panelists soon. As a reminder, the meeting registration deadline is Friday, November = 3rd; registration instructions were sent to member representatives in = September.=20 I look forward to seeing you in D.C.! -Clifford Lynch, CNI Executive Director =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D This message is sent to you because you are subscribed to the mailing list . To unsubscribe, E-mail to: To switch to the DIGEST mode, E-mail to To switch to the INDEX mode, E-mail to To postpone your subscription, E-mail to To resume mail list message delivery from postpone mode, E-mail to = Send administrative queries to Visit the CNI-ANNOUNCE e-mail list archive at = . --Apple-Mail=_FF68FCFC-2E27-4761-9561-A24FCCB806F5 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=utf-8
I am = delighted to share the details of the CNI Fall 2023 Membership = Meeting plenary talks and to announce = that the preliminary project = briefing list is now live. In the coming weeks, we will release = the final schedule along with full session details. Closer to the = meeting, we=E2=80=99ll also share the traditional meeting =E2=80=9Croadmap= =E2=80=9D guide. 

I will deliver my = customary December opening plenary with a survey of recent key = developments and trends in the networked information and research = landscapes alongside an update on CNI's programs, strategies, and plans = for program year 2023-2024 and beyond. It=E2=80=99s been an = extraordinarily eventful year, and there=E2=80=99s lots to talk about. = As always, there will be time for questions and = discussion.

Closing = Plenary: Open Access, Open Scholarship, and Machine Learning: A Panel = and Community Conversation

=E2=80=A8Recent issues = surrounding the use of the scholarly literature as training data for = machine learning-based systems, particularly large language models = (LLMs) and various generative artificial intelligence (AI) applications = driven by these systems, are raising new questions about what the = community seeks to enable and accomplish through commitments to open = access and open scholarship. These questions are shaped in part by = assumptions about the extent to which these new machine learning-driven = systems will be centralized and controlled by a few large technology = firms, as opposed to being diffused and distributed much more widely = through open source developments.

The emergence = and adoption of ideas surrounding open access and open scholarship have = largely been driven by visions of desirable futures and values-based = choices for institutional investments; in recent years, this has enjoyed = a relatively broad consensus despite some ongoing disagreements about = specific tactics to advance these goals. Suddenly, as we see examples of = where generative AI may take us and the highly extractive nature of = these generative AI systems, the consensus on ideal futures seems less = clear. What will most effectively advance scholarship and the creation = of new knowledge?

Historically, there has been = clear consensus extending from the freedom to read scholarly literature = to the freedom to compute on this corpus through text mining and natural = language processing technologies. This had been recognized in funder = open access policies and mechanisms like Creative Commons licenses. = Newer machine learning-based technologies create persistent and reusable = computational artifacts, and there seems to be less comfort with a = powerful, broad-based set of mandates to enable these developments. Yet = the implications of blocking or impeding these developments also remain = unclear. And whatever is chosen must scale.

The = panel, which I will moderate, will consider the current state of = developments, particularly in light of the seemingly insatiable demand = for training data by LLM-driven systems, and will focus on both what the = desirable outcomes should be in light of the values and goals shaped by = open access and open scholarship and the mechanisms that might be = adopted to advance these outcomes.

Panelists = include Rachael Samberg, Scholarly Communication Officer & Program = Director at the University of California, Berkeley and Heather Sardis, = Associate Director for Technology and Strategic Planning at the = Massachusetts Institute of Technology. We will announce the complete = list of panelists soon.

As a reminder, the = meeting registration deadline is Friday, November 3rd; registration = instructions were sent to member representatives in = September. 

I look forward to seeing you = in D.C.!

-Clifford Lynch, CNI Executive = Director


=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
This = message is sent to you because you are subscribed = to
    the mailing list = <CNI-ANNOUNCE@cni.org>.
To unsubscribe, E-mail to: = <CNI-ANNOUNCE-off@cni.org>
To switch to the DIGEST mode, = E-mail to <CNI-ANNOUNCE-digest@cni.org>
To switch to the = INDEX mode, E-mail to <CNI-ANNOUNCE-index@cni.org>
To = postpone your subscription, E-mail to = <CNI-ANNOUNCE-null@cni.org>
To resume mail list message = delivery from postpone mode, E-mail to = <CNI-ANNOUNCE-feed@cni.org>
Send administrative queries = to  <CNI-ANNOUNCE-request@cni.org>

Visit the = CNI-ANNOUNCE e-mail list archive = at <https://mail2.cni.org/Lists/CNI-ANNOUNCE/>.

= --Apple-Mail=_FF68FCFC-2E27-4761-9561-A24FCCB806F5--